Reviewerly/exHarmony huggingface dataset:
RADICAL-Pilot and PMIx/PRRTE: Executing Heterogeneous Workloads at Large Scale on Partitioned HPC Resources

Execution of heterogeneous workflows on high-performance computing (HPC) platforms present unprecedented resource management and execution coordination challenges for runtime systems. Task heterogeneity increases the complexity of resource and execution management, limiting the scalability and efficiency of workflow execution. Resource partitioning and distribution of tasks execution over portioned resources promises to address those problems but we lack an experimental evaluation of its performance at scale. This paper provides a performance evaluation of the Process Management Interface for Exascale (PMIx) and its reference implementation PRRTE on the leadership-class HPC platform Summit, when integrated into a pilot-based runtime system called RADICAL-Pilot. We partition resources across multiple PRRTE Distributed Virtual Machine (DVM) environments, responsible for launching tasks via the PMIx interface. We experimentally measure the workload execution performance in terms of task scheduling/launching rate and distribution of DVM task placement times, DVM startup and termination overheads on the Summit leadership-class HPC platform. Integrated solution with PMIx/PRRTE enables using an abstracted, standardized set of interfaces for orchestrating the launch process, dynamic process management and monitoring capabilities. It extends scaling capabilities allowing to overcome a limitation of other launching mechanisms (e.g., JSM/LSF). Explored different DVM setup configurations provide insights on DVM performance and a layout to leverage it. Our experimental results show that heterogeneous workload of 65,500 tasks on 2048 nodes, and partitioned across 32 DVMs, runs steady with resource utilization not lower than $$52\%$$ . While having less concurrently executed tasks resource utilization is able to reach up to $$85\%$$ , based on results of heterogeneous workload of 8200 tasks on 256 nodes and 2 DVMs.
Research on the Training of Outstanding Engineers in Architectural Education Based on Ant Colony Algorithm

By analyzing the current situation of higher education and the advantages and disadvantages of traditional student training methods, focusing on the training methods of students’ engineering application ability and innovation ability, this paper explores a new training mode of engineering and technical talents in line with the specialty of civil engineering. Combined with the quality of teachers, teaching contents and teaching methods of civil engineering specialty, this paper puts forward some reform suggestions to deal with the current situation of education, and defines the training requirements of the excellent engineer program in the construction industry. The suggestions also have important reference for promoting the actual talent training mode of local and national higher education and improving the quality of engineering and technical talent training.
Coarse-to-Fine Structure-Aware Artistic Style Transfer

Artistic style transfer aims to use a style image and a content image to synthesize a target image that retains the same artistic expression as the style image while preserving the basic content of the content image. Many recently proposed style transfer methods have a common problem; that is, they simply transfer the texture and color of the style image to the global structure of the content image. As a result, the content image has a local structure that is not similar to the local structure of the style image. In this paper, we present an effective method that can be used to transfer style patterns while fusing the local style structure to the local content structure. In our method, different levels of coarse stylized features are first reconstructed at low resolution using a coarse network, in which style color distribution is roughly transferred, and the content structure is combined with the style structure. Then, the reconstructed features and the content features are adopted to synthesize high-quality structure-aware stylized images with high resolution using a fine network with three structural selective fusion (SSF) modules. The effectiveness of our method is demonstrated through the generation of appealing high-quality stylization results and a comparison with some state-of-the-art style transfer methods.
A novel improved teaching and learning-based-optimization algorithm and its application in a large-scale inventory control system

Purpose The purpose of this paper is to propose a novel improved teaching and learning-based algorithm (TLBO) to enhance its convergence ability and solution accuracy, making it more suitable for solving large-scale optimization issues. Design/methodology/approach Utilizing multiple cooperation mechanisms in teaching and learning processes, an improved TBLO named CTLBO (collectivism teaching-learning-based optimization) is developed. This algorithm introduces a new preparation phase before the teaching and learning phases and applies multiple teacher–learner cooperation strategies in teaching and learning processes. Applying modularization idea, based on the configuration structure of operators of CTLBO, six variants of CTLBO are constructed. For identifying the best configuration, 30 general benchmark functions are tested. Then, three experiments using CEC2020 (2020 IEEE Conference on Evolutionary Computation)-constrained optimization problems are conducted to compare CTLBO with other algorithms. At last, a large-scale industrial engineering problem is taken as the application case. Findings Experiment with 30 general unconstrained benchmark functions indicates that CTLBO-c is the best configuration of all variants of CTLBO. Three experiments using CEC2020-constrained optimization problems show that CTLBO is one powerful algorithm for solving large-scale constrained optimization problems. The application case of industrial engineering problem shows that CTLBO and its variant CTLBO-c can effectively solve the large-scale real problem, while the accuracies of TLBO and other meta-heuristic algorithm are far lower than CLTBO and CTLBO-c, revealing that CTLBO and its variants can far outperform other algorithms. CTLBO is an excellent algorithm for solving large-scale complex optimization issues. Originality/value The innovation of this paper lies in the improvement strategies in changing the original TLBO with two-phase teaching–learning mechanism to a new algorithm CTLBO with three-phase multiple cooperation teaching–learning mechanism, self-learning mechanism in teaching and group teaching mechanism. CTLBO has important application value in solving large-scale optimization problems.
A New Augmented Reality System for Calculating Social Distancing between Children at School

Social distancing is one of the most important ways to prevent many diseases, especially the respiratory system, where the latest internationally spread is coronavirus disease, and it will not be the last. The spreading of this pandemic has become a major threat to human life, especially to the elderly and people suffering from chronic diseases. During the Corona pandemic, medical authorities were keen to control the spread through social distancing and monitoring it in markets, universities, and schools. This monitoring was mostly used to estimate the distance with the naked eye and interfere with estimating the distance on the observer only. In this study, a computer application was designed to monitor social distancing in closed areas, especially in schools and kindergartens, using a fast, effective and unobtrusive technique for children. In addition to this system, we use augmented reality to help to determine the location of violation of social distancing. This system was tested, and the results were accurate exceeding 98.5%.
Polar Codes for Module-LWE Public Key Encryption: The Case of Kyber

In modern society, the Internet is one of the most used means of communication. Thus, secure information transfer is inevitably of major importance. Computers nowadays use encryption methods based on arithmetic operations to turn messages into ciphertexts that are practically impossible for an attacker to reverse-engineer using a classical computer. Lately, it has been proven that this is possible in a post-quantum setting where quantum computers of considerable size are available to attackers. With the advance of technology of quantum computers, it is now more necessary than ever before to construct encryption schemes that cannot be broken either using a classical or a quantum computer. The National Institute of Technology and Standards (NIST) has orchestrated a competition, and numerous encryption schemes have been proposed. The NIST has identified one algorithm to be standardized for the post-quantum era. This algorithm is called CRYSTALS-Kyber and is based on module learning with errors (MLWE). This paper investigates how to apply error correcting codes in order to create some excess decryption failure rate (DFR) and to take advantage of that in order to re-tune Kyber’s parameters in the pursuit of higher security. By applying Polar Codes, Kyber’s security was managed to be increased by 54.4% under a new set of parameters, while keeping the decryption failure rate well below the upper acceptable bound set by the NIST.
Код как деменция памяти и решимости быть

In modern scientific and political discourse, the concept of code has become quite widespread, as an explanatory matrix and as a possible structure of reality. At the same time, the concept of code itself is not a scientifically based scientific concept. It is worth mentioning that until the twentieth century, the concept of code was not used at all either in the humanities or in natural science discourse, or had a rather narrow application, closing in on the concept of a cipher. It was only in the twentieth century that this concept began to be used. The most famous modern thinkers who have used this concept are R. Barthes and J. Baudrillard. In the works of R. Barthes, the concept of code is used in the analysis of a literary text and acts as a kind of “substitute” for the figure of the author. It is the code structure of the text that allows us to talk about the so-called death of the author. In the works of J. Baudrillard's phenomenon of the code refers to the neo-capitalist reality and is subject to critical reflection. The author of the article follows a critical view of the ZH code. Baudrillard considers the modern scientific “fashion” for the use of the conceptual resource of the code as a definite symptom of the modern post-industrial society, in which, by reducing to code unity, the active projective assembly of a person, his memory, is eliminated.
Analysis of Financial Fraud Supervision of Listed Companies Based on Game Theory--Take Luckin Coffee as an Example

In the development of the capital market, financial fraud of listed companies often occurs, which leads to the untrue disclosure of information. It seriously affects the stability and fairness of the market. The financial fraud involving listed companies and regulators is also a typical game problem, and the ultimate goal of game analysis is to make all parties reach an ideal equilibrium state. Therefore, this paper conducts an in-depth case study on the social issue of Luckin Coffee’s financial fraud and builds a specific regulatory game model. The conclusion is that the probability of choosing financial fraud by listed companies is affected by four factors: the cost of supervision, the probability of being accused, the fine and the reputation loss to the regulator. Reducing supervision costs and increasing fines can effectively prevent the occurrence of financial fraud. So this paper also puts forward some suggestions, in order to promote the healthy development of Chinese financial market.
Heavy Metals in Natural-Anthropogenic and Agricultural Landscapes of the Impact Zones of Metallurgical Complexes of the Tula Industrial Agglomeration

The results of monitoring studies of natural-anthropogenic and agricultural urban landscapes of the impact zones of the Tulachermet combine and the Kosogorsky Metallurgical Plant are presented. A survey of aerotechnogenic precipitation, soil and vegetation cover was carried out. It is shown that in the impact zones of metallurgical complexes, the predominant part of heavy metals enters the Earth's surface in solid-phase precipitation.
Playing flute without lips? Tones of music lost in time: An investigation of the indigenous Bastar flutes of India

The physics of music has been well studied and has provided the basis on which musical instruments are made, studied and characterized. Significant research has been conducted on the different kinds of musical instruments, which range from traditional instruments like the mridangas of India to the bagpipes of Scotland. In fact, a lot of research has been carried on the acoustics of different kinds of flutes as well, such as the Finnish kantele and the Indonesian Kompangs. The Indian subcontinent, the birthplace of transverse flutes and a host of other instruments, itself has a plethora of unique musical instruments that have been scientifically examined. Yet, the Bastar flutes of India have evaded the due scientific attention that they deserve owing to their unique sound generation mechanism. Quite strangely and surprisingly, these Bastar flutes are a unique genre of flutes that don’t require lips to be played, and are quite intriguing. The current research explores the aeroacoustics of a Bastar flute via experimental measurements, computational simulations and analytical formulations. The results demonstrate that the amplitude produced is directly proportional to the number of rims present. This are also responsible for producing a low-frequency, high-amplitude melodious sound. It also suggests that the underlying mechanism behind sound generation in a Bastar flute is a unique blend of edge tone and a jet tone, demonstrating a rare phenomenon not seen in traditional musical instruments. This uncommon phenomenon has the potential to unlock several new applications in the field of acoustics.
The Moral Environment of Scientific Management

The article deals with the philosophical problem of the formation of the moral environment of scientific management. The absolutization of the technocratic, bureaucratic approach to scientific management is criticized. The author introduces the concepts of ‘moral environment of scientific management’, ‘inspiratory management’. The moral environment of scientific management is studied on the basis of dialectical, synergetic methods. In the historical and philosophical context, ideas about higher values as the spiritual basis of scientific management are considered. Based on the concept of psychoenergetics by A. A. Bogdanov, the SMD methodology of G. P. Shchedrovitsky, the ideas of existential management by I. Nonaka, enlightened management by A. Maslow, the necessity of purposeful formation of the moral environment of scientific management in the process of communication in the system ‘man - society – organization’ is substantiated. The author notes that inspirational management as inspiration by higher meanings in the process of communication forms the moral environment of scientific management. The moral environment of scientific management is a metasystem that creates the conditions for the progressive development of society on the basis of the moral improvement of man, the development of his capabilities. The moral environment of scientific management orients a scientist towards the pursuit of truth, the labor meaning of life, professional development, civic activity, moral meanings. The author states that it is necessary to form a team of like-minded people, the collective subject of scientific management can be characterized as a learning organization. The development of applied technologies imbued with the pathos of moral feeling is carried out. The moral environment of scientific management contributes to the popularization of scientific knowledge. The author comes to the conclusion that the basis of the moral environment of scientific management is a social idealized project, which includes rational and irrational elements of philosophy, science, religion, art, ideology. The modern social idealized project is based on the meritocratic project of the knowledge society, the moral ideal of a person - a professional and a citizen. The moral environment of scientific management, which includes symbolic media communications of knowledge, such as truth, the common good, knowledge, creates the basis for successful scientific management. In the absence of a unified moral environment for scientific management, the world community turns into an object of management by illegitimate structures of the global society. The moral environment of scientific management ensures the security of modern society.
Research on the Integration Design of Algorithm Teaching and Mathematics Curriculum Under Information Technology

With the reform and innovative development of education, the proportion of information technology in education reform is becoming more and more important, and more and more people begin to pay attention to the integration and development of information technology and other disciplines. This paper analyzes the current situation of international and domestic teaching design of information technology and curriculum integration, studies the current teaching design process of information technology and new curriculum integration, and studies the teaching design mode of information technology applied to different teaching methods and teaching processes, which fully embodies the concept of independent learning and independent exploration advocated by the new curriculum, This paper explores how to use information technology to optimize the teaching process and improve the teaching methods under the new curriculum, obtains and establishes its own teaching design process on this basis, starts with the guiding theory and practice of the integration of information technology and curriculum, and expounds the important position of information technology teaching in primary school education through cases in the actual teaching process, And the problems in the integration of information technology and other courses. In order to help front-line teachers improve the teaching design level of integrating information technology into teaching.
Exploration of Personalized Foreign Language Teaching Model Based on the Integration of Multimedia Means and Traditional Methods

The application of multimedia technology in the 21st century has brought challenges and opportunities to foreign language teaching. It is imperative to break the traditional teaching mode of one-way communication in a single way and create an English teaching mode in a multimedia environment. This paper explores the personalized foreign language teaching mode based on the integration of multimedia means and traditional methods, mainly based on constructivism theory, humanism theory and interactionism theory, combined with the characteristics of foreign language teaching, discusses the classroom teaching mode from the perspective of multimedia, in order to find the best fit between it and traditional teaching methods, And the optimization and integration of traditional teaching methods and multimedia in middle school physics teaching, in order to make them play their respective maximum functions and realize the optimization of classroom teaching effect.
Application of Risk Assessment Model of Accounting Resource Sharing Management in Education and Teaching

The management is a method that helps to determine the risk level of each business unit and evaluate the probability of loss. It can be used as an effective tool to determine which units are most vulnerable to losses and which units are less risky. In this way, it can be used to allocate resources between different units according to the vulnerability of different units. The main idea behind this technology is that every organization has different levels of risk associated with it. Therefore, resources should be allocated accordingly so that they will not face any financial problems. The application of risk assessment model in education and teaching is to assess the risks related to the use of resources. The purpose of this model is to identify and measure the risks associated with resource use. The model also helps to determine strategies for managing risks by reducing or completely eliminating risks. It can be used as a decision-making and planning tool in financial management, human resource management and other fields. Network teaching resources are the premise and foundation of network education. It is particularly important to provide efficient storage management for accounting learning content objects and provide convenient and fast access functions for various users, so as to improve the utilization of teaching resource objects.
Evaluation of English Teaching Quality in Higher Vocational Colleges Based on Artificial Intelligence Optimization Network

English teaching evaluation is an important part of English evaluation. It is a process of measuring, analyzing and value judging the process and results of English teaching activities based on teaching objectives and using effective evaluation techniques and means. This study aims to evaluate the quality of English Teaching in Higher Vocational Colleges Based on artificial intelligence optimization network. The research method used in this study is descriptive analysis, which combines qualitative and quantitative analysis. This study was conducted in the form of a questionnaire survey, with a sample of 100 students from various vocational colleges. In addition, use the reliability coefficient (Cronbach α) Was 0.858, and the validity coefficient (Pearson correlation coefficient) was 0.923; Therefore, they are regarded as high values of reliability and validity respectively.
DMFF-Net: A dual encoding multiscale feature fusion network for ovarian tumor segmentation

Ovarian cancer is a serious threat to the female reproductive system. Precise segmentation of the tumor area helps the doctors to further diagnose the disease. Automatic segmentation techniques for abstracting high-quality features from images through autonomous learning of model have become a hot research topic nowadays. However, the existing methods still have the problem of poor segmentation of ovarian tumor details. To cope with this problem, a dual encoding based multiscale feature fusion network (DMFF-Net) is proposed for ovarian tumor segmentation. Firstly, a dual encoding method is proposed to extract diverse features. These two encoding paths are composed of residual blocks and single dense aggregation blocks, respectively. Secondly, a multiscale feature fusion block is proposed to generate more advanced features. This block constructs feature fusion between two encoding paths to alleviate the feature loss during deep extraction and further increase the information content of the features. Finally, coordinate attention is added to the decoding stage after the feature concatenation, which enables the decoding stage to capture the valid information accurately. The test results show that the proposed method outperforms existing medical image segmentation algorithms for segmenting lesion details. Moreover, the proposed method also performs well in two other segmentation tasks.