bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing major influences on decision-making and outcome for dogs presenting emergently with nontraumatic hemoabdomen
Authors: Menard Jenna V. , Sylvester Skylar R. , Lopez Daniel J.
Published: April 2023

OBJECTIVE

To evaluate factors contributing to owner decision-making, satisfaction, and perception of quality of life (QOL) with treatment of dogs with nontraumatic hemoabdomen (NTH).

ANIMALS

132 client-owned dogs.

PROCEDURES

An electronic survey was administered to owners of 436 dogs that presented emergently with NTH to a single institution between January 2015 and May 2022. Following survey response, retrospective data collection was performed.

RESULTS

Owners reported QOL as the most important factor influencing their decision-making (92%), followed by risk of cancer (57%) or time remaining with their pet (56%). QOL scores were significantly higher with surgery versus those with palliative care (P = .007). Median survival time (MST) was 213 days with surgery and 39 days with palliative care (P = .049). Survival benefit of surgery was lost when considering only dogs with malignant histopathology (MST, 81 days; P = .305). Owners were more likely to be satisfied when they chose surgery over either euthanasia or palliative care (P = .039). Thirty-four owners (26%) second-guessed or were unsure of their decision.

CLINICAL RELEVANCE

Surgery resulted in the longest MST with greater perceived QOL and owner satisfaction compared with both palliative care and euthanasia and should therefore be considered highly. The importance of malignancy and survival time on owners’ decisions, along with the negative impact of metastasis on survival, underscores the importance of timely preoperative staging. The rate of second-guessing highlights the need for standardization of NTH discussions including treatment options and potential outcomes in order to effectively and efficiently guide treatment of patients with this common presentation.
Expression of selected cytokeratins in human placenta - a preliminary observational study
Authors: Domagała Zygmunt , Mrożek Andrzej , Piotrowska Aleksandra , Olesińska Natalia , Domański Jurand , Kobierzycki Christopher , Thelen Michelle , Śliwa Jakub
Published: April 2023

Every human body is made up of billions of cells, and every cell consists of thousands of microscopic structures. Thanks to the presence of the cytoskeleton, which is built by microfilaments, microtubules, and intermediate filaments, cells are able to fulfill their main function. Dozens of genes encode a large family of cytoskeletal proteins, which form 10-nanometer-long microfilaments, called cytokeratins.

The study was carried out on seven mature human placentas without significant pathology - all eligible mothers were healthy. The collection of basic anthropometric data preceded the dissection of the placentas. Paraffin blocks were made in the usual manner, and hematoxylin and eosin-stained slides were made afterward. Immunohistochemical reactions were performed and the expression of the studied markers was evaluated independently by two observers.

Evaluation of microscopic material revealed the absence of expression of antibodies for cytokeratin 5/6 in placental tissues. Moreover, strong expression of cytokeratin 7 was demonstrated in the villi trophoblast in all types of villi. Immunohistochemical reactions were observed in the mesenchyme within the blood vessel wall, as well as in the extravascular tissue.

The human placenta is an organ that only exists during the intrauterine period of human development and undergoes rapid changes and dynamic growth during pregnancy. These types of processes define selected placental cells as ‘pseudo-tumorigenic tissue’ because of the numerous similarities trophoblast cells have to tumor cells. The use of tissue microarray (TMA) in combination with immunohistochemistry (IHC) may be a valuable approach to validate the predictive and diagnostic utility of various biomarkers in non-cancerous tissues like placental tissue.
Visual Communication Effect Modeling of Public Service Advertisements Based on Fractional Differential Equations
Authors: Yu Yawei , Tan Yulin
Published: April 2023

This paper establishes the visual communication effect model of public service advertisement based on a fractional differential equation. In this paper, a guided filter is used to smooth the image and improve the grayscale phenomenon of the image. Then this paper adopts a method based on wavelet transform to obtain the reference line of the target point source. This achieves the suppression of the background baseline of the target point. Finally, this paper extracts the edge detail feature value in the public service billboard, which realizes the fusion recognition of the missing part in the advertising image. Then this paper transforms it into the problem of separating the object's foreground from the image's background. Finally, this paper uses an improved nonlinear diffusion method to suppress the tiny image detail signal. Experiments show that the algorithm has good optical transmission performance and is not limited by the size of public service advertisement images.
A method to predict whether middle school students will enter STEM careers in the future based on FC-Wide&Deep model
Authors: Liu Sidan , Peng Peng , Cao Lei
Published: April 2023

STEM education is a hot issue in modern education, and it is important to study whether middle school students enter STEM careers in the future in the early stage of career planning. In this paper, we collected students’ behavioral data through the online tutoring platform ASSISTments, divided the raw log data into five types: single-valued, binary-valued, multi-valued, continuous-valued and cumulative, and aggregated them using different data reconstruction methods. Then, a width & depth prediction model based on feature crossover is proposed to perform feature crossover on the aggregated data, and then the depth and width models are jointly trained using. During the training process, the AUC of the FC-Wide&Deep model improved rapidly from 0.800 to 0.845 in the 1st to 16th training rounds, and then slowly climbed with the increase of training rounds. By averaging the results of the three tests, the AUC index of the FC-Wide&Deep model test results improved by 1.29% compared to the DNN model, and the RMSE index improved by 2.08% compared to the BSN-FM model. The FC-Wide&Deep model is generalizable and generalizable, and can be applied to predict whether students will enter STEM careers in the future, thus contributing to the cultivation and leadership of STEM talents in the field of education.
The Calculation of Sports Injury Sensitivity of Martial Arts Athletes Based on ROC Curve
Authors: Wang Qinglong , Sui Yong
Published: April 2023

Martial arts is a comprehensive sport. It requires the athlete to have speed, explosiveness, and coordination. Injuries are common among athletes in martial arts training. In this paper, the mathematical statistics method of the ROC curve is used to predict athletes’ sports injuries. At the same time, the author uses the firefly algorithm to establish the relevant factors for evaluating the degree of foot and ankle injury of martial arts athletes. In this way, the fitness function of the damage degree evaluation index is obtained. Finally, this paper verifies the effectiveness of the method by computer simulation. The mathematical statistics method of the ROC curve and the firefly algorithm-based injury evaluation method for martial arts players have particular guiding significance for improving the technical ability of Chinese martial arts players.
Construction of a social audit platform based on big data for “industry price, quality and credit”
Authors: Ma Rui
Published: April 2023

As the latest product of the innovative integration of information technology, big data has had a huge impact on many fields. Big data technology has changed the traditional audit method, expanded the scope and field of auditing, and injected vitality into the national big data audit work. Full audit coverage has given social auditing a new mission and posed new challenges to creating mega data audit platforms. Driven by the overall goal of full audit coverage, the construction and innovation of a big data audit platform are particularly important. This subject combines data-related technologies and uses more mature data mining algorithms to try to establish an audit platform, and analyzes the three aspects of requirements, concepts and strategies for building an audit platform, dividing it into five modules: data center, acquisition, pre-processing, analysis and data visualization. The research results show that by predicting the revenue indicators of Company A, the overall error of the prediction results of the big data audit platform is controlled at 0.79%, which is better than 8.42% of the traditional audit model; by scoring the two audit models, the score of the big data audit method is 0.7024 higher than that of the traditional model, which is 0.3933, indicating that its accuracy, efficiency comprehensiveness, sustainability, and low risk are In this way, this paper explores a new effective audit path and method, which provides a good basis for the enterprise’s “industry price, quality and trust payment” and guides the way forward for future mega Data audits.
Analysis and elaboration of enterprise management innovation path based on logistic regression perspective
Authors: Zhao Jia
Published: April 2023

Based on the lack of management level and other problems in enterprise management innovation, this paper analyzes the innovation pathway of enterprise management by logistic regression algorithm. Firstly, the management pathway is set as a data set, and the feature vector of the model is defined, the probability model of logistic regression is derived from the input data vector, and the model defines the likelihood probability of the training set. Then the log-likelihood function of the logistic regression model with beta distribution is calculated, the feature weights of the data set are obtained using this function, and finally, the effective countermeasures of enterprise management innovation pathways under logistic regression are obtained according to these weights. The results show that by examining the variance comparison of different enterprise properties, private and sole proprietorship enterprises have the highest scores in the external organizational management factors, 3.86 and 3.72, respectively. The factors in the strategic technological capability have the lowest scores compared with other factors. It can be seen that the construction of comprehensive innovation management capability of enterprises is a long-term accumulation process, and the logistic regression algorithm helps enterprises to develop feasible innovation management pathway strategies according to their capabilities.
Analysis and Research on Technical and Tactical Action Recognition in Football Based on 3D Neural Network
Authors: Feng Chao , Wang Leitao
Published: April 2023

The current action recognition analysis method is easily affected by factors such as background, illumination, and target angle, which not only has low accuracy, but also relies on prior knowledge. Research on the identification and analysis of technical and tactical movements in football. According to the characteristics of football video, a multi-resolution three-dimensional convolutional neural network is constructed by combining the convolutional neural network and the three-dimensional neural network. The supervised training algorithm is used to update the network weights and thresholds, and the video images are input into the input layer. After the convolutional layer, sub-sampling layer and fully connected layer and other network layers to obtain action recognition results. The principal component analysis method is used to reduce the dimension to process the action data set, and the Fourier transform method is used to filter out the principal component noise. The experimental results show that the method can effectively identify the technical and tactical movements of athletes from complex football game videos, and analyze the applied technical and tactical strategies. The average value of accuracy, recall and precision of technical and tactical analysis is as high as 0.96, 0.97, and 0.95, and the recognition and analysis effect has significant advantages.
Electronic properties of diamond semiconductor materials: based on response surface model
Authors: Bi Sheng , Ye Xiaoying , Shao Yang
Published: April 2023

Diamond, a wide bandgap semiconductor material, has excellent physicochemical properties. It has great potential for application in high temperature, high frequency, high power electronic devices and other high technology fields. In order to study the electronic properties of diamond more precisely, an AM-response surface model is developed in this paper to investigate the electronic structures of diamond, P-doped diamond and N-doped diamond surfaces in depth. It is shown that there are three forms of charge states in the single vacancy on the diamond surface. When E=0 V, the negative charge energy level is -0.5 mV, the positive charge is 1 mV, and the zero level remains 0. And its energy level is unstable. In contrast, the double vacancy charge on the diamond surface varies depending on the valence band taken by E, and only one charge state exists. When E<0, the diamond surface vacant electron nature is negative charge state. When E>0, it is positive charge energy level. The electronic properties of the P-doped diamond semiconductor material are calculated to have a constant positive charge (1 mV). The electronic property of N-doped diamond semiconductor material is constant negative charge (-1mV).
Deep learning techniques in modern women’s smart clothing design
Authors: Ke Huiming , Wang Yang
Published: April 2023

With the rapid upgrade of AI in today’s era, the technology of designing garments by merely taking measurements of women’s clothing through traditional pattern makers followed by hand-drawn clothing style patterns by clothing designers has become increasingly inadequate to meet people’s needs. In this paper, the study of super-resolution reconstruction technology according to deep learning improves the resolution of women’s clothing style images and helps to save production costs. The overall clothing style migration method, according to the optimization DCGAN algorithm, improves the efficiency of intelligent design of women’s clothing. It is shown that the reconstruction time of a clothing style image can be completed in only 0.26s, which is much smaller than the reconstruction time of the SRCNN convolutional neural network algorithm, which is 4.30s. The loss value of the live network is 0.79, the loss value of the classical network is 1.23, and the loss value of the optimization algorithm is 0.48. The algorithm in this paper has the smallest training loss value. Therefore, the use of deep learning technology can solve the problem of traditional women’s apparel design, relying on the designer’s experience and inspiration and generating design solutions intelligently.
Evaluation Mechanism of Teaching Staff’s Building in Local Vocational Colleges Based on Big Data Technology
Authors: Dai Jingjing , Chen Mingxuan
Published: April 2023

With the improvement of information technology, all industries have developed rapidly. However, the education industry is lagging behind in the process of informationization. Most still follow the educational paradigm of the past, where teachers rely on personal experience to make judgments and teaching decisions for students, just like a blind man feeling like an elephant. In this paper, we design a teaching quality monitoring and evaluation strategy according to the K-modes algorithm in big data technology, which is a dynamic data collection and intelligent analysis based on the learning process and learning effectiveness, ensuring data authenticity and also realizing multi-dimensional data collection and multi-angle evaluation and analysis, and finally comparing each index of three different algorithms. It is verified that the minimum error sum of squares of the optimized K-modes algorithm is 711, and the correct rate is 0.97, while the values of this metric for the other two algorithms are 1587 and 986, and the correct rates are 0.91 and 0.92, respectively. Therefore, the designed mechanism is a system with a superior evaluation effect and a feasible prediction model for faculty development in local vocational colleges.
Air data computer simulation and design credibility assessment considering ADC calculation model
Authors: Zhang Kexing , Zhang Zhenzhen
Published: April 2023

Air data computer simulation system is a platform for studying aircraft air data system. It can also replace real air data computer and can be used in the experiment of ground integrated avionics system, which greatly reduces the cost and risk of the experiment. However, when the simulation system replaces the real system, whether its reliability, integrity and other indicators can meet the requirements becomes the key to the problem. Based on computer simulation theory and simulation credibility evaluation theory, this paper designs and implements two types of atmospheric data computer simulation systems and evaluates the credibility of the simulation systems. The basic theory of computer simulation and the general process of simulation are expounded, the evaluation theory of simulation credibility is introduced, and the evaluation calculation method of simulation credibility is given. The results show that the highest reliability of the reliability evaluation using the method in this paper reaches 90%, the highest error rate is 0.06%, and the average accuracy, efficiency and complexity of the hundred experiments are 97.31% and 97.00% and 0.154%. The highest reliability of the subjective comprehensive evaluation algorithm for reliability evaluation is 65%, the highest error rate is 0.27%, and the average accuracy, efficiency and complexity of the hundred experiments are 70.59% and 69.74%, and 0.502%. Therefore, the method in this paper not only has high reliability, low error rate, but also has strong comprehensive effectiveness.
Research on education management system based on machine learning and multidimensional data modeling
Authors: Xu Qiaonan , Deng Hui
Published: April 2023

With the rapid development of modern information technology, especially the continuous improvement of computer network technology, the application of education management system in teaching is becoming more and more extensive. Therefore, education management system and machine learning will become an important combination direction of education. First, design and implement a complete network education management system based on B/S architecture, and design from the overall system design, detailed design and database design. Among them, the computer language combined with the SQL Server database realizes the network teaching function and the education system management function. Then, PSO-SVM machine learning is adopted to make personalized learning course recommendation for students. Multi-dimensional data analysis and feature extraction. Finally, the PSO-SVM proposed in this paper is applied to the education management system for modeling training, and compared with other traditional machine learning personalized recommendation accuracy and likeness of learning course recommendation. The experimental results show that the PSO-SVM proposed in this paper is superior to other traditional machine learning models in terms of personalized learning course recommendation and favorability, with an accuracy rate of 94.7%.
Model Construction of Influencing Factors of Physical Education Core Quality Cultivation Based on Multiple Linear Regression
Authors: Cheng Wenlong
Published: April 2023

This paper mainly discusses the formation and development of the core literacy of sports majors. Then, this paper establishes the factor model that affects the professional quality of youth sports employing multiple linear regression analysis. First, this paper uses factor analysis to observe 19-factor patterns. After the maximum variance rotation method, four dimensions were determined from the factor loading matrix, and confirmatory factor analysis was performed. Finally, this paper uses the multiple linear regression method to establish young students’ core literacy education model. This paper analyzes the model and draws the influence of four factors of school, family, society and individual on adolescents.
The success rate model of college students’ new entrepreneurship based on nonlinear differential equations
Authors: Nie Yuanyuan , Tian Zhu , Li Weixuan
Published: April 2023

In order to evaluate the success rate of students’ entrepreneurship more effectively based on a nonlinear differential equation, the author proposes a model for evaluating the success rate of students’ entrepreneurship based on a nonlinear differential equation. These models allow for a score set on the cost of higher education entrepreneurship and determine all higher education entrepreneurship based on it, realizing the cost optimization of higher education entrepreneurship. The simulation results show that the model has scoring and improved student entrepreneurship.
Research on personalized recommendation algorithm for micromechanical sensors based on cloud model
Authors: Geng Baojun
Published: April 2023

In order to improve the ability of micromechanical sensors to update data-matching nodes in real-time and speed up the establishment of a neighbor relationship between nodes, this paper proposes a personalized recommendation algorithm for micromechanical sensors based on the cloud model to improve the stability and real-time performance of micromechanical sensors. The algorithm uses the service attribute values of the cloud computing model and cloud clustering method to set feature term labels and establish a cloud service similarity matrix so as to meet the user-matched manufacturing service requirements. The intra-class clustering technique is applied to measure the clustering effect, and the evaluation function of each clustering number is calculated on the basis of considering the time sequence to determine the best clustering result to complete the personalized recommendation path for micromechanical sensors. To verify the application effect of the personalized recommendation algorithm for micromechanical sensors based on the cloud model, experiments are conducted. The results show that the recommendation algorithm in this paper can always control the node energy consumption below 2.5×103, and the average discovery delay is stable between 41-43 seconds. And the sensor response time is 12.1 seconds, and the average absolute deviation value is 0.23, which is nearly 1.3 times smaller than 0.53 and 0.52 of the collaborative recommendation algorithm and hybrid recommendation algorithm. It can be seen that the recommendation algorithm in this paper solves the problem of excessive neighbor discovery delay in the communication process of micromechanical sensors and effectively improves the personalized recommendation performance of micromechanical sensors.
Research on Innovation of Translation Teaching and Translation Strategies for College Students in Multimedia Background
Authors: Li Dan
Published: April 2023

In the multimedia context, it is important to enrich the teaching forms, challenge the traditional teaching concepts and realize the innovation of education mode. In this paper, a detailed review of translation strategies for college students in the multimedia context is presented, and the traditional GLR translation teaching analysis algorithm is analyzed. To compensate for the shortcomings of low translation teaching efficiency caused by over-fitting in the traditional GLR translation teaching analysis algorithm, a Bayesian model is constructed, and an adversarial neural network is built on its basis. Generate a translation teaching innovation model applicable to the translation teaching of university students. The translation teaching method is evaluated using the BLEU evaluation method. Experimental results: Both the correct translation rate of utterances based on the statistical computing method and dynamic memory algorithm reached 90%-95%. The traditional GLR translation teaching analysis algorithm achieved 95% correctness in recognizing declarative sentences, while the correctness rate for question and exclamation sentences was less than 95%. The correct translation rate of all the statements of the innovative model of translation teaching reached more than 97%. It can be seen that: The innovative model of translation teaching for college students with multimedia backgrounds is simpler and faster in calculation and more practical than other translation teaching algorithms, which is suitable for English translation work of college students and meets the proofreading needs of college students for translation teaching.
Design of a decentralized Internet-based control system for industrial robot robotic arms
Authors: Zhang Jin , Meng Wenjun , Yin Yufeng
Published: April 2023

To meet the needs of small and medium-sized processing plants by establishing a software and hardware platform for a robotic arm control system with a hierarchical structure and designing a robot robotic arm motion control system that is adaptable to multiple environments and cost-effective. In this paper, the industrial robot robotic arm motion control system is designed based on the consistent fusion tracking algorithm under the decentralized Internet. While using the VisualC++ development environment for writing human-machine interface programs using the MFC framework, the device controls the robotic arm body to complete predetermined movements or operational tasks based on command information, sensing information, and the robot controller. The AMS1086CD-3.3 low-voltage differential linear regulator chip used in this design effectively implements the circuit design from 4.8V to 3.4V and successfully meets the 3.4V voltage supply required by the controller. The industrial robot robotic arm control system adopts an adaptive backstepping algorithm controller, and the error of the tracking system at 0 seconds in the simulation results is always kept within the range of [-1~1] that meets the requirements, which effectively reduces the control error of the robotic arm position. Therefore, the robotic arm control studied in this paper is composed of a complete control system in hardware and software, and the designed adaptive backstepping algorithm controller achieves the demand for good control performance of the robotic arm proper.
The boundedness of functional differential equations of hospital financial software under information
Authors: Liu Jingguang
Published: April 2023

In order to be efficient and accurate monitoring and early warning hospital financial software capabilities of hospitals, the author presents the working model of the different operations of the solutions should be used for financial forecasting in hospitals, in order to provide useful information to decision makers. Those. By the equality of the measure of suspension of the function of the difference between the difference and the difference between the difference in some cases, and by the use of the limits of the Solving the problem of the difference in the difference between the difference, the limit of the solution of the type of delay measure the difference. yes, and then the deep belief network is studied with the data set taken to measure to get the effects of the network; Finally, the deep belief network model is used for financial forecasting, which is compared with other methods in machine learning. The results show that with the increase of the number of network layers, the recognition accuracy is also improved. However, the number of network layers is not optimal. When the number of network layers is 3, the recognition performance is the best, which shows that the number of hidden layers in the deep trust network needs special analysis in combination with specific applications and practical information, in order to obtain the best number of network layers. It is clear that the deep belief network model has the best data fitting performance in terms of root mean square error and goodness of fit.
Deep learning model-based brand design 3D image construction
Authors: Huang Zeping , Chen Mengtian
Published: April 2023

In order to have a better product display and thus attract consumers’ purchases and increase the economic benefits of the enterprise, in this paper, we propose a deep learning model for brand 3D image design. A feedforward neural network that estimates the error of previous layers based on the error of the output layer assigns the convolutional kernel weight parameters of the network in the interval and stops when the error reaches a preset accuracy or reaches a preset maximum learning count. The locally-aware convolutional neural network acquires local features that are finer than the global features and outputs the feature maps of the convolutional layers after passing the activation function to calculate the sensitivity of the sampled layer units. Given the sensitivity information of the feature map, the gradient of the kernel function weights is obtained, and the updated parameters are trained to achieve feature map recursion and solve the image boundary problem. A 3D recurrent neural network is constructed using data-driven multiple or single images, transformed into a low-dimensional feature matrix, processed with 3D pixel data, extracted perceptual features, and generated high-resolution images. The analysis of the results shows that the CD value of the used model is 0.477 and the EMD value is 0.579, which makes the constructed 3D images with more obvious detail levels and more accurate structural design, while the model of Pixel2Mesh focuses more on surface information, so the generated model is more realistic and closer to the real image.
Interstate Regulation of the Use of Digital Technologies of Industry 4.0 in the EAEU and BRICS: Legal Risks
Authors: Inshakova A. O. , Goncharov A. I.
Published: April 2023

Introduction. The investigation contains a scientific development of some concepts and categories from the interstate regulation of the procedures for the introduction of digital technologies in Industry 4.0 for their use by economic entities of the EAEU and BRICS jurisdictions in their foreign economic activities. The definition of legal risks that may arise during the implementation and application of digital technologies of Industry 4.0 formulated at the conceptual level.Materials and methods. The work used traditional general scientific research methods, such as the dialectical method of cognition, analysis, synthesis, induction, deduction, as well as private scientific legal methods, including formal legal, the method of legal interpretation. The authors implement a systematic approach to the study of the problem by using several methods of scientific research in combination. Research results. As a result of the analysis, the authors substantiate the scientific and methodological principle of inter-jurisdictional risk management of changes in legislation, as well as their neutralization and avoidance in the implementation of foreign economic activity by economic entities of the EAEU and BRICS jurisdictions. This approach of inter-jurisdictional management of legal risks proposed to be enshrined in the provisions of the international convention, to which the countries participating in integration associations will be able to join, ensuring the entry into force of the relevant regulatory provisions in their jurisdictions.Discussion and conclusion. Based on the results of the study, a complex of information and communication technologies for continuous tracking of the movement of individual goods, as well as vehicles that transport goods under foreign trade transactions between the jurisdictions of the EAEU and BRICS associations, has been formed in five categories. This set of digital technologies applied on basis of a new scientific and methodological approach to inter-jurisdictional risk management of collisions with legal provisions, as well as the neutralization and avoidance of these risks in the implementation of foreign economic activities by economic entities of the jurisdictions of these associations.The new approach provides for the coordination of the regulatory documents adopted by the member states of the integration associations in the mechanism of the inter-jurisdictional polysubject blockchain. The documents relate to the introduction and application of digital technologies of foreign economic activity, to the level of a single (identical) regulatory document for all participants by simultaneously registering it on the server of each of the foreign economic departments of the EAEU and BRICS as subjects of a distributed register.
The Role of Digital Technologies in Foreign Language Learning in the Context of Life-Long Learning Paradigm
Authors: Pichkova L. S. , Karavaeva E. M. , Kulemekova M. V.
Published: April 2023

Introduction. The article explores the importance of digitalization in foreign language studying within the concept of life-long learning. The authors underscore the need to create integrated educational space, based on building efficient educational tracks, embracing various forms of e-learning and applying distant educational technologies. The high degree of relevance of life-long learning is attributed to rapid updating of information and knowledge as well as rising competition on the labour market and increasing requirements for professional competence.It is underlined that digital technologies can only be efficient once they are employed within a particular educational framework, designed to achieve specific goals and meet students’ needs and requirements. The paradigm of life-long learning and creation of unitary educational space with regard to foreign language learning suggest that higher educational institutions, which possess the necessary scientific and teaching capacities, should take the leading role in designing, applying and spreading educational digital technologies. The accomplishments and experience of universities and institutes in that sphere should be employed in all the stages of education. Such institutions enjoy sufficient resources and competencies to create online and distant learning courses, which provide access to high quality further education to various categories of students. The authors come to the conclusion that ensuring human right to lifelong learning, including foreign language learning, requires timely meeting changing labour market requirements, building individual educational tracks, and applying modern digital technologies.Materials and methods. The methodical approach of the research refers to the specified and known empirical and theoretical methods in digital linguodidactics. The analysis of mapping out foreign language learning in the framework of the digital educational system is extensively used in the article. Other general and specific research methods – dialectical, comparative, modeling, ect.-have also been applied in this study.Results. The high degree of relevance of creating digital educational environment and life-long learning is attributed to rapid updating of information and knowledge, which stimulates motivation for their acquisition, specification and application. Moreover, rising competition on the labour market and increasing requirements for professional competence, including excellent command of a foreign language, create a powerful incentive for continuous learning, achieved within integrated digital educational system.Discussion and conclusion. The research, that has been carried out in the article makes it possible to conclude that creation of the integrated digital educational environment based on modern learning techniques encourages life-long education, particularly in the context of foreign language learning.
Foreign Policy Venues of the Republic of Belarus amid Confrontation with Western States: Role of the Union State and the Shanghai Cooperation Organization
Authors: Mukhaeva M. S.
Published: April 2023

The article is devoted to the transformation of the foreign policy venues of the Republic of Belarus in the context of confrontation with Western countries. The author assesses the impact of external threats (both traditional and the “new” ones) on the foreign policy of Belarus, reveals the causes and nature of the rapprochement between Belarus and Russia in foreign and domestic political issues, and also assesses the prospects for the Union State. Special attention is paid to the problems of implementing the road maps of the Union State. The article discusses the consequences of the sanctions policy aimed at Belarus and Russia, as well as the mechanisms of joint response. The author emphasizes the importance of the Asian track of the foreign policy of Belarus on the example of the Shanghai Cooperation Organization; based on an assessment of the opportunities and possible challenges from the accession of Belarus to the SCO, the author concludes that such a step is of strategic importance for the development of the country and its foreign policy.
Improvement in Efficiency of Converter Transformer by The Reduction of Stray Losses
Authors: Kothavade Jayesh , Kundu Prasanta
Published: April 2023

In High Voltage Direct Current Transmission (HVDC) system, converter transformer (CT) is an essential part of the system. Losses that occur in the CT are copper loss, stray loss, and core loss. The stray loss occurs in the transformer's metallic parts, such as transformer tank, which is 10% to 15% of the total loss. Current flowing through the CT is non-sinusoidal current, so more losses are produced in the CT than normal power transformer.  In this paper, horizontal wall shunt is used to reduce stray loss in CT and compare the performance with vertical wall shunt. These stray losses calculated using the 3-D finite –element analysis (FEA). A 315 MVA CT is considered as a case study to calculate stray losses with and without wall shunt. Results show that the horizontal wall shunt is effective compared to vertical wall shunt; additionally, the stray loss is reduced as the wall shunt thickness is increased. Therefore, the efficiency of CT is increased due to a decrease in stray loss.
Combustion and Exhaust Emission Improvement in a 3-Cylinder Mpfi Engine Through Downsizing
Authors: Sonu Ram SONU RAM , RAJ KUMAR YADAV  , INDRAJ SINGH
Published: April 2023

This research aims to compare the potential and existing conditions of a small-sized spark ignition (SI) engine with a 1.0-liter capacity suitable for cylinder deactivation. The cylinder deactivation strategy is used to solve the issues of inefficient combustion and increased exhaust emission under part loading. Consequently, the possibility of implementing cylinder deactivation in terms of decreased exhaust pollution has been assessed. A computerized, 1.0-liter, 4-stroke, water-cooled, spark-ignition engine with an open engine control unit (ECU) and multi-point fuel injection (MPFI) was used for the trials. Both modes were tested at 2500 revolutions per minute (RPM) under loads of 15, 30, and 45 N-m. The spark plug and fuel injector deactivate the cylinder. The results show that when the highest possible load is used, the peak cylinder pressure is 55.78% higher, and the maximum heat release rate is 53.96% more in the deactivation mode than in the traditional mode. In deactivation mode, the mass fraction consumed is larger at each crank angle point, suggesting a faster rate of combustion and increased combustion efficiency. The increased mean gas temperature permits the catalytic converter to perform more efficiently after downsizing. When compared to the conventional mode, carbon monoxide (CO) emission is almost non-existent at full load, unburned hydrocarbon (UHC) is reduced by 92.89%, and oxides of nitrogen (NOx) are reduced by 35% in the deactivation mode. Furthermore, the experiment indicated that, when employed at part load, the deactivation mode is more beneficial than the standard mode in terms of better combustion stability and lesser emissions.
Magnetic constraints and susceptible inversions of Balapur Fault at central Kashmir Basin, NW Himalaya
Authors: Dar A. M. , Bukhari S. K.
Published: April 2023

Research subject. Subsurface investigations of the Balapur Fault at central Kashmir Basin, NW Himalaya through groundmagnetic surveys and data interpretations.

   Materials and methods. The total magnetic intensity data was obtained using ground magnetic surveys carried out by proton precession magnetometers at 15 m spacing. The magnetic constraints and inversions of the Balapur fault in the central Kashmir basin of NW Himalaya were analyzed.

   Results. The total magnetic intensity was found averaging at 97.7 with 45.8 nT as magnetic minima and 140.9 nT as magnetic maxima. The minima’s ranging from 45.8 and 55.8 nT in the gridded profile are inferred at the Balapur fault. Further, the fault-related susceptibility index was recorded from 0.0035 SI to 0.0015 SI, and the observed and predicted response values were found ranging between 67.1 to 87.7 and 67.4 to 86.6 nT respectively.

   Conclusion. The study suggests that the Balapur fault in the central Kashmir has produced high subsurface hydraulic activities and, therefore, evident low magnetic anomalies. The analysis reveals a thick minima region related to the fault and also indicated the presence of associated structures with the main Balapur fault segment.
Clinical characteristics of patients requiring lung transplantation referral in national cystic fibrosis registry data
Authors: Doğru Deniz , Tamay Zeynep , Köse Mehmet , Hangül Melih , Kılıç Gonca , Harmancı Koray , Özdemir Ali , Polat Sanem Eryılmaz , Tuğcu Gökçen Dilşa , Damadoğlu Ebru , Irmak İlim , Yüksel Hasan , Özcan Gizem , Topal Erdem , Özçelik Uğur , Cinel Güzin , Pekcan Sevgi , Çobanoğlu Nazan , Çakır Erkan , Özdoğan Şebnem , Kılıç Mehmet , Çaltepe Gönül , Korkmaz Pervin , Can Demet , Sapan Nihat , Çekiç Şükrü , Yılmaz Aslı İmran , Ünal Gökçen , Şen Velat , Şen Hadice Selimoğlu , Emiralioğlu Nagehan , Kiper Nural , Yalçın Ebru , Gürsoy Tuğba Ramaslı , Aslan Ayşe Tana , Eyüboğlu Tuğba Şismanlar , Kılınç Ayşe Ayzıt , Çokuğraş Haluk , Başkan Azer Kılıç , Başaran Erdem , Bingöl Ayşen , Demir Esen , Öztürk Gökçen Kartal , Altıntaş Derya Ufuk , Özcan Dilek , Şasihüseyinoğlu Ayşe Şenay , Uzuner Selçuk , Çollak Abdulhamit , Yazan Hakan , Onay Zeynep Reyhan
Published: April 2023

Background. We aimed to determine the number of cystic fibrosis (CF) patients recorded in the Cystic Fibrosis Registry of Türkiye (CFRT) who were in need of lung transplantation (LT) referral and examine clinical differences between patients who were LT candidates due to rapid forced expiratory volume in one second (FEV₁) decline and LT candidates without rapid FEV₁ decline in the last year to identify a preventable cause in patients with such rapid FEV₁ decline.
Methods. All CF patients recorded in the CFRT in 2018 were evaluated in terms of LT. Patients were divided into those with FEV₁ below 50% and in need of LT due to a decrease of 20% or more in the previous year (Group 1) and those who did not have FEV₁ decline of more than 20% in the previous year but had other indications for LT (Group 2). Demographic and clinical features were compared between the two groups.
Results. Of 1488 patients registered in CFRT, 58 had a need for LT. Twenty patients were included in Group 1 and others in Group 2. Our findings did not reveal any significant variations in treatment, chronic infection status, or complications between the two groups. The average weight z-score was significantly higher in Group 1. Positive correlations were detected between weight z-score and FEV₁ in 2017 in Group 1 and between FEV₁ values in 2017 and 2018 in Group 2.
Conclusions. There appears to be a relationship between the nutritional status and weight z-scores of CF patients and pulmonary function, which may indirectly affect the need for lung transplantation referral.
Successful desensitization protocol for pyridostigmine in a 12 year old patient with myasthenia gravis
Authors: Kaplan Fatih , Topal Erdem
Published: April 2023

Background. Myasthenia gravis is a chronic, autoimmune disease with muscle weakness. Acetylcholinesterase inhibitors are used in the symptomatic treatment of the disease. Allergic reaction to pyridostigmine bromide is rare. In the literature, no allergic reaction to pyridostigmine bromide has been reported in the pediatric population.
Case. A 12-year-old female patient diagnosed with myasthenia gravis consulted our clinic with the complaint of urticaria due to pyridostigmine bromide. The oral challenge test performed with pyridostigmine bromide was positive. As the patient was required to be continue pyridostigmine bromide with no suitable alternatives, it was decided that the patient had to be desensitized to pyridostigmine. During and after the desensitization protocol, no reaction was observed.
Conclusions. In this report, a successful desensitization protocol for pyridostigmine bromide in a child with myasthenia gravis is discussed.
Assessment of the changing trends in maternal knowledge about management of fever and antibiotic use in the last decade in Türkiye
Authors: Sağer Safiye Güneş , Batu Utku , Karatoprak Elif Yüksel , Çağ Yakup , Ergüven Müferet
Published: April 2023

Background. The wrong attitudes of parents on fever create a basis for unnecessary drug use and increased workload. The study was conducted to evaluate the knowledge and attitudes concerning fever and antibiotic use and demonstrate the changes in the last decade.
Methods. This cross-sectional study was composed of two parts, and a total of 500 participants were included. Group 1 (the new group, 50.0%) consisted of 250 participants who participated in the study between February 2020 and March 2020 and Group 2 (the old group, 50.0%) consisted of 250 participants who participated in the study between February 2010 and March 2010. All participants share the same ethnic properties and had been visiting the same center for similar reasons. A validated, structured questionnaire assessing the management of fever and antibiotic use was administered to all mothers.
Results. According to the fever assessment scoring, maternal knowledge of fever and its management in children significantly increased (p < 0.001). The antibiotic assessment score also increased in 2020 (p = 0.002).
Conclusions. The public spotlight on the erroneous use of antibiotics and the management of febrile illnesses seems to be promising. Improving maternal/parental educational status and informational advertisements can enhance parental knowledge concerning fever and antibiotic use.