Reviewerly/exHarmony huggingface dataset:
The Design and Development of Online Learning Platform of College Mathematics Based on PHP

With the development of science and technology and the popularization of computer technology, mathematics has been widely used in various engineering fields, such as natural science and engineering technology.The society has put forward stricter requirements for mathematics teaching in colleges and universities.In order to ensure the training quality of high-level mathematics talents, this paper takes the computer as the development hardware, combines the Web technology with multimedia technology, and constructs a PHP-based online learning platform for college mathematics.The platform development chooses linux as the system development environment, PHP as the script language for platform development, and ThinkPHP framework is introduced to improve the system function of the teaching platform.Analytic Hierarchy Process (AHP), which combines qualitative analysis with quantitative analysis, is used to calculate the data, which guarantees the effectiveness of advanced mathematics teaching.
Improving D2p Grover's algorithm to reach performance upper bound under phase noise

The original Grover's algorithm has a success probability to output a correct solution, while deterministic Grover's algorithms improve the success probability to $100%$. However, the success probability of deterministic Grover's algorithm decreases in noisy environment. Here we improve the deterministic two-parameter (D2p) Grover's algorithm to reach the upper bound for success probability under phase noise. We prove that it is not possible to design any deterministic Grover's algorithm whose success probability is higher than our improved D2p protocol's under phase noise.
Semi-separation axioms associated with the Alexandroff compactification of the $ MW $-topological plane

&lt;abstract&gt;&lt;p&gt;The present paper aims to investigate some semi-separation axioms relating to the Alexandroff one point compactification (Alexandroff compactification, for short) of the digital plane with the Marcus-Wyse ($ MW $-, for brevity) topology. The Alexandroff compactification of the $ MW $-topological plane is called the infinite $ MW $-topological sphere up to homeomorphism. We first prove that under the $ MW $-topology on $ {\mathbb Z}^2 $ the connectedness of $ X(\subset {\mathbb Z}^2) $ with $ X^\sharp\geq 2 $ implies the semi-openness of $ X $. Besides, for the infinite $ MW $-topological sphere, we introduce a new condition for the hereditary property of the compactness of it. In addition, we investigate some conditions preserving the semi-openness or semi-closedness of a subset of the $ MW $-topological plane in the process of an Alexandroff compactification. Finally, we prove that the infinite $ MW $-topological sphere is a semi-regular space; thus, it is a semi-$ T_3 $-space because it is a semi-$ T_1 $-space. Hence we finally conclude that an Alexandroff compactification of the $ MW $-topological plane preserves the semi-$ T_3 $ separation axiom.&lt;/p&gt;&lt;/abstract&gt;
Immersive Facility Management—A Methodological Approach Based on BIM and Mixed Reality for Training and Maintenance Operations

Abstract Innovation technology in industries including manufacturing and aerospace is moving toward the use of Mixed Reality (MR) and advanced tools while Architecture, Engineering and Construction (AEC) sector is still remaining behind it. Moreover, the use of immersive technologies in the AEC digital education, as well as for professional training, is still little considered. Augmented and Mixed Reality (AR/MR) have the capability to provide a “X-ray vision”, showing hidden objects in a virtual/real overlay. This feature in the digital object visualization is extremely valuable for improving operation performance and maintenance activities. The present study gives an overview of literature about the methodologies to integrate virtual technologies such as AR/MR and Building Information Modeling (BIM) to provide an immersive technology framework for training purposes together with the Digital Twin Model (DTM)-based approach. Furthermore, the Facility Management (FM) tasks’ training on complex building systems can benefit from a virtual learning approach since it provides a collaborative environment enhancing and optimizing efficiency and productivity in FM learning strategies. For this purpose, the technological feasibility is analyzed in the proposed case study, focusing on the realization of a methodological framework prototype of immersive and interactive environment for building systems’ FM. Cloud computing technologies able to deal with complex and extensive information databases and to support users’ navigation in geo-referenced and immersive virtual interfaces are included as well. Those ones enable the DTM-based operation for building maintenance both in real-time FM operators’ training and FM tasks’ optimization.
Effects of Cloud Computing on the Banking Industry, as well as Future Trends

The Digital India project of the Indian government has pushed banks and other financial institutions to use cloud computing. Because of this, cloud computing has experienced rapid expansion across all industries. Many enterprises in the public and private sectors have begun to use cloud computing as their preferred method for storing and analysing data that can be accessed from any location at any time. The cost of managing both technical and physical infrastructure has decreased as a result of cloud computing. After adopting cloud computing as a means of storing data and analysing security frameworks while retaining privacy, the banking sector in particular has experienced significant growth. With the introduction of cloud computing, the banking services sector is still subject to stringent regulatory and compliance frameworks to uphold data privacy and system security. We will study about cloud computing and how it affects the banking industry in this document. Along with that, we'll learn about some potential cloud computing trends for the banking industry.
Sharing time and goals in dyads: how shared tenure and goal interdependence influence perceived shared mental models

Purpose An underlying assumption in the shared mental model (SMM) literature is that SMMs improve whilst team members work together for longer. However, whether dyad members indeed have higher perceived SMMs with higher shared tenure has not been explored. This study aims to, therefore, firstly, investigate this idea, and we do so by focusing on perceived SMMs at the dyadic level. Secondly, because in today’s fast-paced world perceived SMMs often need to be built quickly for dyads to perform, we assess if goal interdependence can reduce the dyadic tenure required for higher perceived SMM similarity. Thirdly, we analyse if these processes are related to dyadic performance. Design/methodology/approach We collected a dual-source sample of 88 leader–member dyads across various industries. We conducted PROCESS analyses to test their first-stage moderated mediation model. Findings Results showed that dyadic tenure was positively related to perceived SMM similarity, and that goal interdependence moderated this relationship. Additionally, perceived SMM similarity mediated the relationship between dyadic tenure and dyadic performance. Lastly, the overall moderated mediation model was supported. Originality/value We contribute to the perceived SMM literature by: investigating perceived SMMs in dyads, testing a key idea regarding the influence of dyadic tenure on perceived SMMs and investigating how goal interdependence may prompt perceived SMM similarity earlier in dyadic tenure and, ultimately, improve dyadic performance.
Research on Comprehensive Evaluation of Online-Offline Hybrid Teaching and Learning Effect of Experimental Course Based on AHP Method

The online and offline hybrid teaching mode has become a new direction of the experimental teaching, as the traditional evaluation method that evaluates the learning effect of students' experimental process based on the results is no longer applicable.In this paper, aiming at the problem of comprehensive evaluation of students' learning effect in online and offline mixed experimental teaching process, a comprehensive evaluation system based on AHP method is proposed, which includes eight evaluation index systems, determines index weights through expert opinions of network platform, standardizes the evaluation results, and obtains the final comprehensive evaluation results of students so as to provide theoretical and methodological basis for comprehensive evaluation of online and offline mixed experimental teaching.
An Important Pick-and-Pass Gated Refinement Network for Salient Object Detection in Optical Remote Sensing Images

Salient object detection in optical remote sensing images (RSI-SOD) is a very challenging task due to the complex scale, shape, details and uncertainty of the predicted location of the object, etc. In this paper, we propose a novel important pick-and-pass gate refinement network model for SOD in optical RSIs, named IP2GRNet, including a detail refinement stage and a feature pick-and-pass refinement stage. Specifically, the detail refinement stage, named refinement synchronization, uses the self-modality attention refinement (SAR) module and the dynamic weight refinement (DWR) module to accurately describe and capture approximate coordinate positions and feature information of salient objects. The feature pick-and-pass and refinement stage progressively picks and refines the prediction results in a coarse to fine manner by combining high-level semantic information and low-level semantic information under the guidance of attention and counter-attention. In addition, the aggregation operation is used to fuse detail refinement information as well as mixture loss for supervised network training, which effectively improves the model performance from three perspectives: pixel, region, and statistics. Extensive experiments on two benchmarks datasets demonstrate that our proposed IP2GRNet on both qualitatively and quantitatively is outperforms to the state-of-the-art saliency detectors.
Metadata Management and Asset Exchange in the Agricultural Data Ecosystem of the Project Agri-Gaia

Abstract The particularities of the agricultural ecosystem of cooperating partners suggest a highly distributed, open data architecture to support the exchange and re-use of data and data-driven applications. We describe the data strategy and the federated basic architecture of the Agri-Gaia ecosystem. We present an ontology-based approach to metadata management which extends a bucket store for arbitrary data storage by an RDF-based metadata graph store and employs widely-used domain ontologies as a conceptual basis. Data and service providers are free to extend the describing metadata at any time, according to their needs. The resulting set of interconnected platforms supports the publication, retrieval and secure sharing of exposable data under full control of their owners.
The Effectiveness of Achieve 3000 Integrated Model on Improving English Reading Performance

Until now, scholars have attempted to investigate the solutions to reading problems from linguistic, psychological and cognitive aspects.However, reading is a recursive complicated process in which integrating and innovating solutions from various aspects is indispensable in achieving English reading success.When learning the reading course in English major, students will encounter more pressure.The research intends to apply Achieve 3000 Platform to construct an Achieve 3000 Integrated Model (A3IM) to tackle reading problems.The research have conducted a quasi-experimental research method to 60 students in Experiment and Control Classes to justify the effectiveness of this strategy in improving English reading performance.
Academic and Research Information Sharing Through Social Media and Networks Among Autonomous Arts and Science Colleges in Chennai, India

The study analyses the academic and research information share through social medias and networks among autonomous arts and science colleges in Chennai, India. The study portrays out of 302 respondents, 149 (49.3%) from female respondents, and 153 (50.7%) responses from male respondents. The p value of the variables Google scholar and Onsite.com, Prospect.com are less than 0.05, at the 5% level of significance. Hence null hypotheses for these variables are accepted. There is a no significant association between the age group of the respondents and their use of Research Gate, Google Scholar, and Prospect.com, as the p value is more than the significant level of 0.05.
Evaluating Future Teacher Competencies in the Face of Contemporary Global Challenges: A Comprehensive Analysis

A highly qualified teacher of the future should demonstrate to students the highest performance and expected results of their activities after completing the proposed tasks and activities. At the same time, the professional teacher of the future should take care of the adaptation of students and the fact of their diversity by changing teaching strategies and learning materials that are appropriate to the age, prior learning, cultural values, and individual needs of the educational program. The role of the teacher in the future is to ensure the formation and education of the personalities of new generations and their professional training within educational institutions, closely related to life, social and professional, moral, and civic activities. Therefore, the purpose of the article is to analyze the problems of forming the skills and personality traits of a teacher that would cause reverberations in students for many years after graduation. The work uses general scientific and special scientific research methods, adheres to the principles of objectivity, scientificity, specificity, and systematicity to argue for the normative reason, of updating the system of professional competencies in an increasingly globalized, multicultural, diverse, and complex environment marked by digital technologies and transformations. It is about the need to change the system of acquiring thorough knowledge to mobilize the professional achievements of teachers. This is the whole point of rewriting the common core of knowledge, skills, and culture envisioned by the Ukrainian education reform. Search engines have identified more than 100 articles on pedagogy. As a result of the selection and verification process, only 21 state-of-the-art sources from 2021-2022 were selected (given the novelty of the proposed scientific research). The results address the problem of professional competence development in European countries. The generalization of the characteristics of the teacher of the future in the context of the global challenges of our time is made based on the contrast of the experiences of the described countries and the general opinion of the participants in the relevant forum. Thus, the reference base of professional competencies for pedagogical and educational professions should reflect the developments in the training of teachers and pedagogical staff in the context of the new Ukrainian education system.
Efficient Algebraic Method for Testing the Invertibility of Finite State Machines

The emergence of new embedded system technologies, such as IoT, requires the design of new lightweight cryptosystems to meet different hardware restrictions. In this context, the concept of Finite State Machines (FSMs) can offer a robust solution when using cryptosystems based on finite automata, known as FAPKC (Finite Automaton Public Key Cryptosystems), introduced by Renji Tao. These cryptosystems have been proposed as alternatives to traditional public key cryptosystems, such as RSA. They are based on composing two private keys, which are two FSMs M1 and M2 with the property of invertibility with finite delay to obtain the composed FSM M=M1oM2, which is the public key. The invert process (factorizing) is hard to compute. Unfortunately, these cryptosystems have not really been adopted in real-world applications, and this is mainly due to the lack of profound studies on the FAPKC key space and a random generator program. In this paper, we first introduce an efficient algebraic method based on the notion of a testing table to compute the delay of invertibility of an FSM. Then, we carry out a statistical study on the number of invertible FSMs with finite delay by varying the number of states as well as the number of output symbols. This allows us to estimate the landscape of the space of invertible FSMs, which is considered a first step toward the design of a random generator.
Partition and analytic rank are equivalent over large fields

We prove that the partition rank and the analytic rank of tensors are equal up to a constant, over finite fields of any characteristic and any large enough cardinality depending on the analytic rank. Moreover, we show that a plausible improvement of our field cardinality requirement would imply that the ranks are equal up to 1+o(1) in the exponent over every finite field. At the core of the proof is a technique for lifting decompositions of multilinear polynomials in an open subset of an algebraic variety, and a technique for finding a large subvariety that retains all rational points such that at least one of these points satisfies a finite-field analogue of genericity with respect to it. Proving the equivalence between these two ranks, ideally over fixed finite fields, is a central question in additive combinatorics, and was reiterated by multiple authors. As a corollary, we prove—allowing the field to depend on the value of the norm—the polynomial Gowers inverse conjecture in the d versus d−1 case.
Research on the Application System of VR Technology-Enabled Digital Education Transformation

With the development of digital technology and innovative application in the field of education, the education informatization has entered a new stage of education digitalization, and digital education transformation has become the main content of promoting education informatization.As a new digital technology, virtual reality technology can promote the reform of existing education methods, promote intelligent learning, reshape the teaching and research process, promote home-school collaboration, and achieve educational equity in digital education transformation.The research on the application system of virtual reality technology to assist digital education transformation is an important link to achieving this goal.This paper puts forward the "FPTE" model, which effectively integrates virtual reality technology with the four subsystems of "road, vehicle, cargo, and driver" of education digitalization, and constructs the application cycle system of virtual reality technology-enabled digital education transformation.Through the organic combination of VR facilities, VR platform, VR technology, VR ecology and four subsystems, the circular application system provides a new idea for integrating virtual reality technology into digital education practice.At the same time, this paper also discusses the technical dilemmas, integration dilemmas, and transformation dilemmas of virtual reality technology in the application of digital education.
Analyzing the role of clip thinking in the context of digitalization of the educational environment of the future

The article is devoted to the study of the use of clip-thinking technology in the educational process. The author analyzes the features of this method and offers recommendations for its effective use. In particular, the author emphasizes the importance of taking into account the age characteristics of students when using video materials, combining clip thinking with other teaching methods and tools, as well as the need to constantly update and maintain the library of video materials. Therefore, the purpose of the article is to study the impact of clip thinking on the educational process in the digital environment of the future. The paper uses general scientific and special scientific research methods, adheres to the principles of objectivity, scientificity, specificity, and systematicity. The results discuss important issues such as the choice of video materials and their relevance to the curriculum and the age characteristics of students. The author emphasizes that teachers and methodologists should be ready to use the technology of clip thinking and know its features and benefits. The results of the study showed that the use of clip thinking is an effective method of organizing the educational process. The conclusions note that clip thinking contributes to the development of critical thinking and creative abilities of students, increases their motivation to learn, and helps them to learn new material. However, the author also points out the disadvantages of this method, in particular, the possibility of distracting students and reducing their concentration on the material. All the conclusions drawn in the article can be useful for teachers and methodologists working to improve the educational process and introduce the latest technologies into educational practice.
Quality Evaluation Method of Agricultural Talents Distance Education Based on Improved Decision Tree

With the rapid development of information technology and the emphasis on education at all levels of the country and society, wisdom education, as a new application of information technology in the field of education, has a lot of research space.Educational data mining is an interdisciplinary field arising from its application in the field of education.Compared with the traditional educational environment, the current research based on the field of education is no longer lack of student behavior data.As a result, data-rich educational environments have become the norm.Abundant data provides a data base for EDM.To some extent, the sampling of education indicators can improve the problem of unbalanced data, but they also have the problems of low accuracy and insufficient sampling.This paper firstly constructs the l evaluation system of learning quality index quality based on the distance education of agricultural talents, clarifies the changes in learning quality of various groups, and adopts the difference analysis of the random forest algorithm based on an improved decision tree.By comparing with the existing evaluation model, the experimental results indicate that the network model optimized by this algorithm has a better effect on the evaluation of education quality.And that detection accuracy and precision are further improved.It is helpful for educational indicators to develop personalized evaluation and intervention programs.Finally, some suggestions for learners to improve their learning are put forward, and the research results can provide practical guidance for teaching stakeholders.
Graph MADDPG with RNN for multiagent cooperative environment

Multiagent systems face numerous challenges due to environmental uncertainty, with scalability being a critical issue. To address this, we propose a novel multi-agent cooperative model based on a graph attention network. Our approach considers the relationship between agents and continuous action spaces, utilizing graph convolution and recurrent neural networks to define these relationships. Graph convolution is used to define the relationship between agents, while recurrent neural networks define continuous action spaces. We optimize and model the multiagent system by encoding the interaction weights among agents using the graph neural network and the weights between continuous action spaces using the recurrent neural network. We evaluate the performance of our proposed model by conducting experimental simulations using a 3D wargame engine that involves several unmanned air vehicles (UAVs) acting as attackers and radar stations acting as defenders, where both sides have the ability to detect each other. The results demonstrate that our proposed model outperforms the current state-of-the-art methods in terms of scalability, robustness, and learning efficiency.