Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Machine Learning Algorithm Based on Neural Network Technology

Neural networks have strong characteristics for processing data and information. At the same time, the current computer technology is also very advanced, and many kinds of very powerful information technologies have been developed under the promotion and promotion of modern science and technology. Therefore, relevant personnel will carry out advanced technology and neural network structure methods. Fusion, and then an artificial neural network was established on this basis. In a broad sense, machine learning refers to how to enable a machine to acquire relevant knowledge through autonomous learning, and the purpose is to enable the machine to have relevant skills similar to what people need to acquire knowledge. The research in this article aims to explore the machine learning algorithms based on neural network technology, and through literature research methods, case analysis methods, etc., to have an in-depth understanding of machine learning algorithms in neural network technology, and then through the analysis of machine learning algorithms in neural network technology The learning advantage and its influencing factors are designed based on the machine learning algorithm in the neural network and experimented. Experimental results show that LSTM performs well in replication tasks, and the performance of LSTM even far exceeds that of NTM, but the performance of LSTM in addition and multiplication tasks is much lower than that of NTM. Although the accuracy of NTM on the test set is higher than that of LSTM and RNN, the performance of the model is still relatively poor.
Promoting energy sources as environmentally friendly: does it increase public acceptability?

Environmental frames are widely used in an effort to increase public support for energy sources in the sustainable energy transition. Research suggests that environmental frames are most effective when they are congruent with people’s biospheric values. Yet, this value-congruence account has been mainly tested for promoting behaviors, policies or products that have clear environmental benefits. But what if they do not? For example, what if energy sources are promoted as green but are not seen as such by the public? We extend the value-congruence account by proposing that besides the congruence between the frames and biospheric values, it is important to consider how much the products themselves are congruent with environmental frames and biospheric values. We tested this novel value-frame-product account by evaluating the effectiveness of environmental frames (versus financial frames) on the acceptability of energy sources that are typically seen as high, moderate, and low in environmental friendliness, and depending on how strongly people endorse biospheric values. Overall, the results supported none of the congruence accounts, suggesting that matching frames (and products) with people’s values might be less effective in enhancing acceptability of products than previously thought. Instead, environmental framing increased the acceptability of all energy sources, independent of people’s biospheric values and the perceived environmental friendliness of those energy sources. Moreover, highly environmentally friendly energy sources were more acceptable and evaluated more positively, especially among people who strongly endorsed biospheric values. We discuss the theoretical and practical implications of our study.
Teaching Intercultural Communication in a Basic Technical Writing Course: A Survey of Our Current Practices and Methods

This research article reports the results of an online survey distributed among technical writing instructors in 2006. The survey aimed to examine how we teach intercultural communication in basic technical writing courses: our current practices and methods. The article discusses three major challenges that instructors may face when teaching about intercultural communication. These challenges concern teacher preparation, time and proposed goals and objectives, and teaching materials and methods. This article provides some suggestions for addressing the challenges and enriching a technical writing curriculum.
Service life prediction of wooden components -Part 3: Approaching a comprehensive test methodology

This paper is the third in a series on „service life prediction‟ of wooden components and should be considered as a discussion paper. The authors tried to analyze the topic with a look from a distance and comment sometimes with a smile on the current controversial discussion about SLP issues. Nevertheless, the viewpoints of different groups, such as natural scientists, engineers, approval board members, consumers, and finally wood product manufacturers, have been described and resulting conflict points have been pointed out. Conceptual differences in modelling the performance of wooden components have been studied and related problems have been highlighted exemplarily on the base of „hard‟ field test data. Problems related to the classification of wood durability are addressed as well as test methodological aspects. Finally a series of promising test methods and assessment procedures is presented. Moisture recordings in combination with subsequent dose assessments, comparative analyses of lab and field trials, and further new field test methods proved to have the potential to contribute to a comprehensive test methodology for wood based products. This is demonstrated based on preliminary results and summarized in a proposal for future test design requirements.
Development of Optimal Control Modes for Advanced Technology Propulsion Systems.

Abstract : A nonlinear multivariable feedback controller was defined for the idle to military operating regime (9 to 100 percent thrust) of the Pratt and Whitney Aircraft F401 variable cycle turbofan engine. The analytical design involved linearizing the F401 engine dynamics about five steady-state operating points between idle and military thrust, applying linear optimal control synthesis methods at each point, and combining the five optimal linear controllers into a single nonlinear controller which has feedback gains that are scheduled with high compressor speed. Variable fan, compressor and exhaust geometries as well as main burner fuel flow are coordinated by the controller to achieve rapid engine dynamic response.
Conservation of forest genetic resources through the example of native Quercus species from the “Košutnjak” park forest in Serbia

Given the importance of urban park forests and protected natural areas in the urban environment, the implementation of the concept of genetic conservation is one of the main ways to save and improve this category of natural resources. Forests such as Košutnjak can be considered a refuge for flora and fauna and by establishing conservation programs for certain species, the entire ecosystem would be better protected. The purpose of this paper is to elaborate a systematic approach to in situ conservation of forest genetic resources in urban areas through the example of four native oak species: pedunculate oak, sessile oak, Hungarian oak and downy oak in the protected natural area “Košutnjak” in the capital of Serbia – Belgrade, to develop replicable conservation guidelines for urban park forests. The methodological framework for the development of guidelines for genetic conservation, presented in this paper, is a replicable model whose basic principles can be applied in other cases of urban park forests.
One-year monitoring of aromatic volatile organic compounds (VOCs) in urban areas of Malaysia

VOCs have been one of the important limiting factors of O3 photochemical production in the urban tropical region. This study aims to determine the variation and composition of aromatic VOCs as well as their contribution to the O3 formation. The hourly data of benzene, toluene, ethylbenzene and xylenes (BTEX) and ozone (O3) were retrieved from January until December 2019 at three continuous air quality monitoring stations (S1, S2 and S3) operated by the Malaysian Department of Environment (DOE). Aromatic VOCs is detected by using an online gas chromatography analyser (GC 5000BTX). The annual average ΣBTEX concentrations ranged from 14.53 ± 12.43 μg m-3 to 25.04 ± 24.04 μg m-3 during the observation period, with toluene as the most dominant species with an average concentration of 10.65 ± 12.12 μg m-3. The O3 formation potential (OFP) was calculated and the results indicated that toluene is the highest contributor of O3-forming potential, followed by m, p-xylene, o-xylene, ethylbenzene and benzene with the value of 127.8 μg m-3 (40.90 %), 103.0 μg m-3 (32.97 %), 48.66 μg m-3 (15.58 %), 26.17 μg m-3 (8.38 %) and 6.74 μg m-3 (2.15 %), respectively. Since the study of VOCs in Malaysia is quite limited, a more comprehensive study is currently underway to integrate the research on variation of VOCs in ambient air and its impact on the environment and human health.
Shopfloor integration and multiagent based supervision

This paper describes an integrated hardware and software solution for supervision and software maintenance system for industrial robot controllers integrated in welding lines. The methodology that has been applied to integrate a system comprising more than 200 industrial robot controllers is presented and some implementational issues about the developed infrastructure is also shown. The multiagent architecture required to fulfill the requirements of the industrial shop floor is described.
An Entropy-stable Ideal EC-GLM-MHD Model for the Simulation of the Three-dimensional Ambient Solar Wind

The main aim of the current work is to apply the Roe+Lax–Friedrichs (LF) hybrid entropy-stable scheme to the simulation of the three-dimensional ambient solar wind. The governing equations for the solar wind flow and magnetic field utilize the entropy-consistent nine-wave magnetic field divergence diminishing ideal magnetohydrodynamics (MHD) equations, which are symmetric and Galilean invariant with some nonconservative terms proportional to the divergence of magnetic field or the gradient of the Lagrange multiplier ψ. By using solenoidality-preserving and non-negativity-preserving reconstruction, the divergence error is further constrained, and the densities and pressures are reliably guaranteed. Moreover, the entropy is used as an auxiliary equation to completely avoid the appearance of negative pressure, which is independent of any numerical flux and can be retrofit into any MHD equations straightforwardly. All the properties referred to above make the newly developed scheme more handy and robust to cope with the high Mach number or low plasma β situations. After the experiments of the entropy consistency and the robustness of the proposed entropy-stable scheme through two simple tests, we carry out the simulation of the large-scale solar wind structures for Carrington Rotation 2183 (CR 2183) in a six-component grid system with the initial potential field obtained from the Helioseismic and Magnetic Imager magnetogram by retaining spherical harmonics of degree 50. The comparisons of the numerical results with the remote sensing observations and in situ data show that the new model has the capability to produce structured solar wind.
Hybrid placemaking in the library: designing digital technology to enhance users' on-site experience

This paper presents research findings and design strategies that illustrate how digital technology can be applied as a tool for hybrid placemaking in ways that would not be possible in purely digital or physical spaces. Digital technology has revolutionised the way people learn and gather new information. This trend has challenged the role of the library as a physical place, as well as the interplay of digital and physical aspects of the library. The paper provides an overview of how the penetration of digital technology into everyday life has affected the library as a place, both as designed by placemakers and as perceived by library users. It then identifies a gap in current library research about the use of digital technology as a tool for placemaking, and reports results from a study of Gelatine – a custom-built user check-in system that displays real-time user information on a set of public screens. Gelatine and its evaluation at The Edge, at the State Library of Queensland, illustrates how combining affordances of social, spatial and digital space can improve the connected learning experience among on-site visitors. Future design strategies involving gamifying the user experience in libraries are described based on Gelatine's infrastructure. The presented design ideas and concepts are relevant for managers and designers of libraries, as well as other informal, social learning environments.
The use of entropy based fuzzy membership on weighted logistic regression for the unbalanced data

Logistic regression is a popular and powerful classification method. The addition of ridge regularization and optimization using a combination of linear conjugate gradients and IRLS, called Truncated Regularized Iteratively Re-weighted Least Square (TR-IRLS), can outperform Support Vector Machine (SVM) in terms of processing speed, especially when applied to large data and have competitive accuracy. However, neither SVM nor TR-IRLS is good enough when applied to unbalanced data. Fuzzy Support Vector Machine (FSVM) is an SVM development for unbalanced data that adds fuzzy membership to each observation. The fuzzy membership makes the interest of each observation in the minority class higher than the majority class. Meanwhile, TR-IRLS developed into a Rare Event Weighted Logistic Regression (RE-WLR) by adding weight to logistic regression and bias correction. The weighting of the RE-WLR depends on the undersampling scheme. It allows an “information loss”. Between FSVM and RE-WLR has a similarity, the weight based only on class differences (minority or majority). Entropy Based Fuzzy Support Vector Machine (EFSVM) is a method used to accommodate the weaknesses of FSVM by considering the class certainty of class observations. As a result, EFSVM is able to improve SVM performance for unbalanced data, even beating FSVM. For this reason, we use EF on the TR-IRLS algorithm to classify large and unbalanced data, as a proposed method. This method is called Entropy-Based Fuzzy Weighted Logistic Regression (EF-WLR). This Research shows the review of EF-WLR for unbalanced data classification.
Construction of Sports Recognition System Based on Sports Visual Image Technology under the Background of Information Technology

With the development of the times, sports competitions are sought after and favored by more and more people, and the judgment of athletes in the competition is becoming more and more strict and standardized. The further development of Internet technology and information technology has provided great convenience for the effective recognition of athletes’ movements in sports competitions. This article aims to study the background of information technology, through the use of sports visual image technology to design and construct an action recognition system, in order to efficiently and accurately identify and judge the various movements of sports competitions, thereby effectively reducing various manpower and the cost of material resources, while improving the accuracy of the competition results. In the experiment, this article invites 100 volunteers to participate in the system’s behavioral test recognition. The volunteers’ simple exercises such as jumping, raising hands, kicking, turning and squatting are tested, and the result is the exercise designed in this article. The recognition system is able to recognize five sets of actions in the experiment, among which jumping is 97.66%, kicking is 98.13%, squatting is 97.62%, raising hand is 95.24%, and turning is 96.43%. Research shows that the motion recognition system based on sports visual image technology designed and constructed in this paper has high motion recognition accuracy and can recognize athletes’ movements scientifically and effectively.
Computer Data Storage and Management Platform Based on Big Data

Due to the continuous development of information technology, data has increasingly become the core of the daily operation of enterprises and institutions, the main basis for decision-making development. At the same time, due to the development of network, the storage and management of computer data has attracted more and more attention. Aiming at the common problems of computer data storage and management in practical work, this paper analyzes the object and content of data management, investigates the situation of computer data storage and management in China in recent two years, and interviews and tests the data of programming in this design platform. At the same time, in view of the related problems, the research results are applied to practice. On the basis of big data, the storage and management platform is designed. The research and design adopts a special B+ tree node linear structure of CIRC tree, and the linear node structure is changed into a ring structure, which greatly reduces the number of data persistence instructions and the performance overhead. The results show that compared with the most advanced B+ tree design for nonvolatile memory, crab tree has 3.1 times and 2.5 times performance improvement in reading and writing, respectively. Compared with the previous NV tree designed for nonvolatile memory, it has a performance improvement of 1.5 times, and a performance improvement of 8.4 times compared with the latest fast-fair. In the later stage, the expansion of the platform functions is conducive to the analysis and construction of data related storage and management functions, and further improve the ability of data management.
RETRACTED: The Application of Computer Technology in Electronic Information Engineering

With the continuous progress and development of our country’s economy, computer network technology has also been continuously improved and upgraded, and the level of EI technology has matured day by day, and the requirements on enterprises have become more and more stringent. In order to more fully expand the scope of EI computing and ensure that the technology is in a normal state of development, it is necessary to conduct applied research and exploration of EI engineering based on computer technology in order to use it for people to provide better services and create More value. This article is based on the research on the actual application of computer technology applied in our country’s EI technology engineering. First, it uses the literature research method to summarize the characteristics of our country’s EI technology engineering and the actual application of computer technology in EI engineering. In this paper, the investigation and research method is used to investigate some of the problems and suggestions faced by the actual application of computer technology in our country’s EI technology engineering. Through the analysis of the results, the in-depth study of the development trend of our country’s EI engineering is predicted. Survey results: Among the problems faced by the application of computer technology in EI engineering, local area network instability problems occur more frequently, accounting for about 45%, and then data and information security problems, accounting for about 30%. In the proposal for the development of the application of computer technology in EI engineering, the introduction of advanced local area networks will account for about 40% of the equipment, and about 35% for the strengthening of data security technology. It can be seen from this that the main research direction of computer technology application in EI engineering is local area network stability and data security.
First attempt to fill gaps in the feeding of the axolotl

Objective: To determinate the attractability of four oils, fish, chicken, krill, and red crab (Pleuroncodes planipes) for Ambystoma mexicanum juveniles, evaluating their feeding behavior using a Y aquarium. Design/Methodology/Approach: Ten axolotls were used per test, fasted for 48 h. Gels with oils were prepared using gelatin and poured into petri dishes and refrigerated until gelation. A recording of the test was made using two video cameras. In the feed chamber the gelled oil was placed and allowed to stand for 15 min. On the other chamber a gelled disk with no other ingredient than gelatin and water was placed. The video recording began once the 15 min of gel permanence had finished, removing the barrier so that the axolotls could move through the rest of the aquarium. All tests were carried out with a recording time of 30 min. Results: Fish oil demonstrated a lower attraction effect compared to krill, red crab and chicken oils (P0.05), while chicken oil (30.001.73) doubled the attractive effect of krill oil (16.001.00). Limitations of the study/implications: It was necessary to condition a room with controlled environmental temperature for A. mexicanum (181 °C). Findings/Conclusions: Krill and chicken oil are good feeding effectors for A. mexicanum causing positive feeding behavior. The use of chicken oil is desirable because of its low cost compared to krill.
Strategy-Driven Partitioning into Switching Modes for Piecewise-Afﬁne Systems with Continuous Environments

—We propose a methodology for abstracting discrete-time piecewise-afﬁne systems inﬂuenced by additive continuous environment variables, to synthesize correct-by-construction controllers from linear temporal logic speciﬁ-cations. The proposed algorithm partitions the environment domain into polytopes, considered as modes controlled by the environment. In each mode the environment variable is treated as a bounded disturbance for the system. Mode polytopes are iteratively enlarged while a strategy isomorphism between successive system partitions can be constructed. Isomorphisms are obtained by solving the stable marriage problem after proving that our case admits a unique solution. This leads to mapping high-level symbolic variables to equivalence classes of polytopes, instead of single polytopes as in other works. We thus avoid the need to merge partitions, which can create sliver polytopes, causing numerical problems during reachability computations. The approach enables using the same strategy over partitions that have an isomorphic subgraph relevant to the strategy. Reachability checks between neighboring partitions are used to reduce non-determinism introduced by switching and allow continuous restoration of discrete state. If bifurcations occur that prevent strategy reuse, then switched system game synthesis is performed, and a logic modeling formalism proposed that avoids trivial cyclic counterexamples.