Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Higher Education Intelligent Decision System Based on Data Mining

The paper elaborated on the application process of data mining in college management decision support system: establishment of data mining goals, selection of data sources, data preparation, processing and evaluation models, verification models, implementation and maintenance models, especially for the key data preparations were analysed in depth. According to the specific characteristics of college management data, the data cleaning method has been usefully explored and tried. Finally, combined with the data conversion service (DTS) in SQL Server 2010, the establishment of the SQL Server data warehouse is explained, and data mining is carried out on this basis. According to this, the design and implementation process of establishing a university management decision support system is introduced. Practice shows that the current system is well adapted to the pace of development of college management informationization, and improves college management decision-making ability and level.
Some observations on biofouling prediction in pipelines using model trees and artificial neural networks versus logistic regression

Biofouling is the phenomenon of micro-organism attachments to wet surfaces. Complete understanding of the mechanisms and rates of biofilms creations are partially understood therefore forecasting their formations is difficult. This study is on biofouling predictions for water distribution systems pipelines using model trees, artificial neural networks, and logistic regression. The three methods were tested through base runs and sensitivity analysis runs using data from the experiment conducted by Simões et al. (2006). The results showed that none of the models were superior for all cases, therefore a single model could not be recommended. This leads to an important conclusion that utilising ‘low cost’ modelling methods such as logistic regression can be sufficient for providing reliable estimates for biofilm growth potential. ‘Low cost’ approaches should be applied prior to invoking expensive models such as data driven methods as the latter might not be needed.
Research on Moving Object Tracking Technology of Sports Video Based on Deep Learning Algorithm

Visual target tracking is the research focus in the field of computer vision. Its development is of great significance and has been widely used in various fields. The development of computer vision technology provides a new training tool for coaches. Because machine vision has better accuracy and memory than human eyes, it can quickly capture moving targets and record various motion data of targets. Today, with the development of sci & tech, in the process of people's pursuit of constantly surpassing themselves, this traditional training method has obviously been difficult to adapt to and meet the training needs of sports athletes, and can not effectively improve the skill level of athletes. In this paper, the technical idea of moving target tracking in sports video based on deep learning algorithm is put forward, so as to capture and track the moving target in sports video with the help of advanced information technology such as computer vision technology, and to guide athletes' movements more scientifically by recording various data.
Inside occupations: comparing the task descriptions of 160 occupations across eight EU member states

The Task-Based Approach uses occupational titles as a key variable for including characteristics beyond an individual’s general human capital, but hardly discusses the quality of data on occupational titles. This paper does so from a cross-country comparative perspective. Do similar occupational titles refer to the same work activities, as assumed often but not empirically tested? For 160 occupations, the similarity of ten task descriptions per occupation across eight countries is investigated. Using a web-survey, experts and jobholders rated the frequency and importance of each task (N = 4,197 raters). Four hypotheses are investigated: occupations are similar across countries, occupations are similar within countries, countries are similar within regard to cross-occupation interrater agreements
Control of the Moisture Content of Milk Powder Produced in a Spouted Bed Dryer Using a Grey-Box Inferential Controller

Although the moisture content of dried products is an important variable in industrial dryers, it is often not measured directly for control purposes. Alternative and simpler meters might provide information to be used in a physical-mathematical model to estimate the moisture content. When this procedure is applied to a control strategy, an inferential controller is developed. In this article, a physical-mathematical model was used to infer the moisture content of milk powder produced in a spouted bed dryer. Afterwards, simulations of an inferential proportional-integral controller were carried out using the inlet air heating rate as the manipulated variable. The physical-mathematical model used in the procedure was a hybrid model, which considers mass and energy balances and one term which is estimated by an artificial neural network. The controller parameters (controller gain and integral time) were tuned by trial and error. Even though the procedure was quite simple, it was proven to be effective in yielding a stable closed-loop response for both servo and regulatory control of the (inferred) powder moisture content.
Digitally-controlled single-phase single-stage AC/DC PWM converter

The paper presents the implementation of a fully digital controller for a boost integrated AC/DC PWM converter. The considered converter has the following basic features: high power factor, full control of the DC output voltage, high-frequency line filter inductor and insulation transformer. Its main advantage is the complete integration of a rectifier and an inverter stage, requiring only four IGBTs and six diodes. The converter is described in detail and the structural limitations of its operation are highlighted. The paper focuses on the converter control strategy describing in detail the implementation, by means of the TMS320F240 digital signal processor, of a fully digital, predictive, input current control technique. An application specific modulation strategy is also developed that allows simultaneous input current and output voltage control. The control system is finally tested on a 0.5 kW laboratory converter prototype. The presented results validate the design procedure and illustrate the achievable converter performance.
Ajuste e balanceamento do portfólio de projetos: o caso de uma empresa do setor químico

Abstract This article aims to understand the adjustment stage of project portfolio management, highlighting its relationship with the processes of categorization and balancing. It is a qualitative research. The longitudinal case study approach was adopted. The research was carried out in a Brazilian chemical company. Several sources of evidence were collected through interviews, documents and data from the enterprise’s systems. Data from 1,000 projects between 2001 and 2005 were collected and analyzed in order to understand the project portfolio. The results indicated that more attention is given to the selection stage, neglecting the adjustment stage. The adoption of balancing tools showed gaps and sources of imbalance in the project portfolio, promoting discussion among decision makers regarding the bias introduced by the criteria in the selection stage and raising the need to introduce systematic adjustment and balance. It was possible to observe that without a proper project categorization, it would be difficult to promote the balancing analysis.
Analisando a reconfiguração da cadeia de produção de pneus no Brasil pela economia dos custos de transação

This paper discusses the reconfiguration of Brazil's tire production chain resulting from the pioneer outsourcing and vertical disintegration of the tire cord treatment units, also known as dipping units. A case study of the contractual relationship between two large multinational corporations is used as a methodological strategy. Analyses are made of the process of contractual adaptation and of the factors that may have contributed to delay the decision to restructure the tire production chain in Brazil. The Transaction Cost Economics approach was chosen as the theoretical framework, mainly due to its analytical capacity regarding the limits of action of firms or organizational networks. The empirical findings indicate the importance of specialized local suppliers as a critical factor in the restructuring of the supply chain through outsourcing strategies. The institutional environment, both formal and informal, is as relevant to the contractual process as it is to the decision-making involved in the definition of new organizational boundaries.
Evaluation of Security Situation of Communication Network Nodes Based on Grey Correlation Model

In order to improve the security of low-latency cluster dispatching communication network nodes, this paper proposes a security situation assessment method of low-latency cluster dispatching communication network nodes based on grey relational model. The security situation assessment model of low-delay cluster scheduling communication network nodes is constructed, and the comprehensive risk index is introduced as the three-layer assessment index of low-delay cluster scheduling communication network nodes. Based on the analysis of load loss probability and expected response characteristics of insufficient packet loss load in communication transmission, the reliability index calculation system of low-delay cluster scheduling communication network node scheduling is established. By introducing expected load reduction parameters, the frequency characteristics of node scheduling security in low-delay cluster scheduling communication network are monitored. Based on the average sustained risk index evaluation of load reduction, the security permission conditions of node scheduling in low-delay cluster scheduling communication network are established. The network transmission load control is carried out by using grey correlation scheduling model. The node control model of low-delay cluster scheduling communication network is constructed by combining risk assessment and load parameter detection. The learning control of node security situation assessment is realized by using Cyber-net and unsupervised learning methods. The node security situation assessment of low-delay cluster scheduling communication network nodes is realized through access and decentralized scheduling. Tests show that this method has high accuracy in evaluating the security situation of nodes in low-delay cluster dispatching communication networks, and has strong completeness and reliability in grid-connected control of communication networks.
Studies Of Frequency Dependent C-V Characteristics Of Neutron Irradiated P/sup +/-n Silicon Detectors

Frequency-dependent capacitance-voltage (C-V) characteristics of neutron-irradiated high-resistivity silicon P/sup +/-n detectors have been observed up to a fluence of 8.0*10/sup 12/ n/cm/sup 2/. It has been found that the frequency dependence of the deviation of the C-V characteristic (from its normal V/sup -1/2/ dependence) is strongly dependent on the ratio of the defect density to the effective doping density N/sub t//N'/sub d/. As the defect density approaches the effective dopant density, or N/sub t//N'/sub d/ to 1, the junction capacitance eventually assumes the value of the detector geometry capacitance at high frequencies (f>or=10/sup 5/ Hz), independent of voltage. A two-trap-level model that uses the concept of quasi-Fermi levels and predicts the effects of C-V frequency dependence and dopant compensation observed has been developed. >
Combining Knowledge from Different Sources, Channels and Geographical Scales

Abstract The aim of this article is to examine conceptually and empirically how innovative firms combine knowledge (1) provided by different sources, (2) accessed at different spatial scales and (3) acquired through different channels. We add to the conceptual debate by contrasting and synthesising the perspectives offered on these issues by four key concepts, namely the local buzz and global pipelines argument, the knowledge-base approach, the notions of Science–Technology–Innovation and Doing–Using–Interacting modes of innovation as well as the regional innovation systems concept. The empirical part of the article contains an analysis of knowledge-sourcing activities employed by 181 firms belonging to the Austrian automotive supplier industry. Our findings reveal that it is, indeed, combinations of knowledge sourced from different partners located at different spatial scales and acquired through different channels that are relevant. However, it is particular combinations that dominate while others are negligible. Austrian automotive supplier firms combine knowledge provided by customers with knowledge inputs from a variety of other sources. Most of the combinations involve the European or global levels combined with the regional and/or national level. Finally, firms combine spillovers with a variety of other channels to acquire innovation-relevant knowledge.
Executing certified model transformations on Apache Spark

Formal reasoning on model transformation languages allows users to certify model transformations against contracts. CoqTL includes a specification of a transformation engine in the Coq interactive theorem prover. An executable engine can be automatically extracted from this specification. Transformation contracts are proved by the user against the CoqTL specification and guaranteed to hold on the transformation running on the extracted implementation of CoqTL. The design of the transformation engine specification in CoqTL aims at easing the certification step, but this requirement harms the execution performance of the extracted engine. In this paper, we aim at providing a scalable distributed implementation of the CoqTL specification. To achieve this objective we proceed in two steps. First, we introduce a refined specification of CoqTL that increases the engine parallelization. We present a mechanized proof of the equivalence with standard CoqTL. Second, we develop a prototype implementation of the refined specification on top of Spark. Finally, by evaluating the performance of a simple case study, we assess the speedup our solution can reach.
A High-Sensitivity Photon Emission Microscope System with Continuous Wavelength Spectroscopic Capabi

A new spectroscopic photon emission microscope system (SPEMS) with high-sensitivity and continuous wavelength spectroscopic capability is presented. With the specially-designed light collection and transmission optics, high- resolution spectral characteristics can be acquired from very low-level light emissious. Two new wavelength parameters have been introduced to describe the bias-dependent spectral variation. The potential use of these two parameters as well as the spectral characteristics to identify failure mechanisms is also discussed.
Single-feed dual-frequency rectangular microstrip antenna with pair of step-slots

A novel dual-frequency rectangular microstrip antenna with a pair of step-slots embedded close to the nonradiating edges is proposed and experimentally studied. The two operating frequencies have the same polarisation planes and similar broadside radiation characteristics. By adjusting the step ratio of the step-slots, the frequency ratio of the two operating frequencies is tunable in the range /spl sim/1.23-1.63. Details of the antenna design and experimental results are presented and discussed.
Data Properties or Analytical Methodologies: Too Much Attention to the Former Ignores Concerns About the Latter

Chute, J. A. Denny, A. Fedotov, Q. Feng, H. Hakonarson, G. P. Jarvik, et al. 2020. Predictive utility of polygenic risk scores for coronary heart disease in three major racial and ethnic groups. American Journal of Human Genetics 106 (5):707–16. doi:10.1016/j.ajhg. 2020.04. 002. Dupras, C. , and E. M. Bunnik. 2021. Toward a framework for assessing privacy risks in multi-omic research and databases. The American Journal of Bioethics 21 (12): 46–64. doi:10.1080/15265161.2020. 1863516. Erlich, Y. , J. B. Williams, D. Glazer, K. Yocum, N. Farahany, M. Olson, A. Narayanan, L. D. Stein, J. A. Witkowski, and R. C. Kain. 2014. Redefining genomic privacy: Trust and empowerment. PLoS Biology 12 (11): e1001983. Holm, I. A. , and P. L. Taylor. 2012. The informed cohort oversight board: From values to architecture. Minneapolis Journal of Law and Science Technology 13 (2):669–90. Kain, R. , S. Kahn, D. Thompson, D. Lewis, D. Barker, C. Bustamante, C. Cabou, A. Casdin, F. Garcia, J. Paragas, et al. 2019. Database shares that transform research subjects into partners. Nature Biotechnology 37 (10):1112–5. Konkel, L. 2015. Racial and ethnic disparities in research studies: The challenge of creating more diverse cohorts. Environmental Health Perspectives 123 (12):A297–302. Kraft, S. , M. Cho, K. Gillespie, M. Halley, N. Varsava, K. Ormond, H. Luft, B. Wilfond, and S. Lee. 2018. Beyond consent: Building trusting relationships with diverse populations in precision medicine research. The American Journal of Bioethics 18 (4):3–20. Manrai, A. K. , B. H. Funke, H. L. Rehm, M. S. Olesen, B. A. Maron, P. Szolovits, D. M. Margulies, J. Loscalzo, and I. S. Kohane. 2016. Genetic misdiagnoses and the potential for health disparities. New England Journal of Medicine 375 (7):655–65. doi:10.1056/NEJMsa1507092. Paquette, E. D. , S. F. Derrington, A. Shukla, N. Sinha, S. Oswald, L. Sorce, and K. N. Michelson. 2018. Biobanking in the pediatric critical care setting: Adolescent/young adult perspectives. Journal of Empiric Research and Human Research Ethics 13 (4):391–401. Platt, J., and S. Kardia. 2015. Public trust in health information sharing: Implications for biobanking and electronic health record systems. Journal of Personalized Medicine 5 (1):3–21. doi:10.3390/jpm5010003.
IOT-based Broadcasting and Hosting Professional Body Training Multimedia Teaching Course Reform and Application Ability Cultivation

With the rapid development of information technology, college education pages have gradually entered the stage of digital campus construction. Colleges and universities have launched the construction of multimedia classrooms to provide good technical support for the curriculum reform of various majors. The major of broadcasting and hosting is the major of cultivating TV presenters and announcers. The existence of TV announcers and presenters is to give better play to the broadcasting function of broadcast and television, to improve the efficiency of communication and to enhance the effect of communication. The body class that belongs to this major is different from the body class of majors such as broadcast host and performance. It should focus on improving students' aesthetic taste for body art, and its fundamental purpose is to enhance students' ability to feel, express, create and apply their own body language. Let students form good manners and manners, so that they can accurately and vividly express emotions and convey information after they appear on the camera, thereby optimizing the effect of communication. On the other hand, it also undertakes the task of enhancing students' physical fitness and prolonging their career life in the future. This article aims to study the IOT-based multimedia teaching curriculum reform and application ability training of the broadcast host professional body training. Through literature research and questionnaire surveys, the current situation of the broadcast host professional and the students' cognition of the broadcast host are carried out experimental research. The problems in the broadcasting and hosting major put forward a reform plan for the course content. Experimental research shows that the students of the broadcasting hosting major do not have a high level of awareness of the broadcasting and hosting, and only stay on the surface. Therefore, it is imperative to reform the multimedia teaching curriculum for the professional body training of broadcasting and hosting.
A review of active vibration and noise suppression of plate-like structures with piezoelectric transducers

Structural vibrations are the major causes of noise problems, passenger discomforts, and mechanical failures in aerospace, automotive, and marine systems, which are mainly composed of lightweight and flexible plate-like structures. In order to reduce structural vibrations and noise radiations of lightweight structures, passive and active treatments have been used and investigated over the last three decades. Our aim of this article is to review current state-of-the-art of active vibration and noise suppression systems for plate and plate-like structures with various kinds of boundary conditions. The reviewed articles use numerical methods and experimental tools to study different aspects of controller architectures. In particular, the focus is placed on the active vibration and noise control systems utilizing piezoelectric patches as sensors and actuators since their popularity in vibration-based applications has increased significantly during the last two decades. We first classify the controllers according to their architectures, then compare their performance in vibration and noise attenuation, and finally provide suggestions for further progress. The categorization of the information regarding the controller strategies and sensor/actuator configurations for different host structures can be used by the controller designers as a starting point for their specific configuration.
Predictors of coach drivers' safety behaviour and health status

This study examined whether coach drivers' perceptions of organisational safety climate mediated the relationship between their supervisor's leadership style and a number of outcome measures including self-reported safety behaviour, number of accidents and near misses, occupationally-induced fatigue, job-related affective well-being, and symptoms of physical strain. Forty-nine coach drivers from three companies in Australia completed a cross-sectional survey. Standard multiple regression analyses were conducted and these revealed that safety climate directly predicted all of the outcome measures apart from the number of accidents and near misses drivers reported. Transformational leadership was also a predictor of organisational safety climate, confirming that organisational safety climate is a mediator of the link between leadership style and the outcome measures. Managers who emphasise the importance of safety to their drivers and who demonstrate a transformational leadership style that shows concern for the welfare of the drivers will encourage greater safety behaviour from drivers and better health outcomes for drivers.
Visual Damage Interpretation of Buildings in Bam City using QuickBird Images following the 2003 Bam, Iran, Earthquake

A strong earthquake struck the city of Bam in southeast Iran on 26 December 2003. The earthquake brought massive destruction to the city and its surrounding rural areas. QuickBird, a high-resolution satellite, captured a clear image of Bam on 03 January 2004, eight days after the event. The city was also observed by QuickBird on 30 September 2003, about three months before the event. In this paper, using the pre-event image, the location of individual buildings was registered on GIS and the city blocks surrounded by major roads were assigned. Then, the visual damage interpretation based on the European Macroseismic Scale (EMS-98) was carried out building by building, comparing the pre-event and post-event images. The result of the damage inspection was compared with field survey data, and the accuracy and usefulness of the high-resolution satellite images in damage detection was demonstrated.