Miracle-dz/UniFAR-FTUs huggingface dataset:
Model predictive control for multiple cross-directional processes : analysis, tuning, and implementation

In this thesis, practical techniques for analyzing, tuning and implementing an industrial model predictive controller (MPC) for paper machine cross-directional (CD) processes are developed. These techniques include model reduction, performance and robust stability analysis of a linear closed-loop system, and optimal prediction of steady-state performance for constrained MPC. Paper machine cross-directional processes are large-scale two-dimensional systems. In order to make the online computational load feasible in real time, it is necessary to reduce the dimensions of the model, especially for multiple-array systems. Due to the very large dimension and ill-conditioning of the process, the plant model can be effectively reduced by wavelet matrices based on a modified wavelet packet method. The reduced model captures the controllable spatial components of CD processes. After model reduction, MPC based on the reduced model is implemented in the wavelet domain. Meanwhile, the constraints can be exactly represented in the wavelet domain. The main benefit of implementing MPC in the reduced domain is that the on-line computational time for solving the quadratic programming (QP) problem is greatly reduced compared to the implementation of MPC based on the original model while good control performance is preserved. This method is applicable for multiple-array systems. For large-scale spatially-distributed systems such as CD processes, the process model, the additive structured uncertainty, and the linear portion of the MPC controller are approximated as linear, spatially-invariant, and time-invariant. The transfer function analysis will hold as long as the disturbances are small enough magnitude that the MPC does not hit constraints. To analyze the relevant closed-loop transfer matrices, the novel concept of rectangular circulant matrices (RCMs) is proposed. RCMs can be diagonalized by complex Fourier matrices, allowing analysis in terms of a family of single-input singleoutput (SISO) transfer functions across the spatial frequencies. Familiar concepts from control engineering such as bandwidth and stability margin are extended into the twodimensional frequency domain, providing intuitive measures of closed-loop performance and robustness. Consistent criteria are given for the analysis of the closed-loop effect of the industrial CD MPC tuning weights based on standard robust control theory. Properly tuning the magnitude of weights, choosing the structure of weights, and considering the structure of model uncertainty in the MPC design stage can greatly improve the performance. This method can be used to design robust CD MPC for multiple-array systems. In order to assess the steady-state performance of constrained CD MPC, the state of the art requires to run closed-loop simulations. Due to the large-scale characteristic of CD processes, especially for multiple-array systems, it is very time-consuming and
Evaluation of Management Zones for Site-Specific Application of Crop Inputs

ARTICLE INFO ABSTRACT Received: Accepted: Online: Jan 06, 2013 Jan 18, 2013 Feb 17, 2013 Management zones can be used as a method to apply agricultural inputs more efficiently within the field for minimizing offsite transport of agri-chemicals. A two years (2010-11 to 2011-12) field experimental study was conducted at the Postgraduate Agricultural Research Station of the University of Agriculture, Faisalabad, Pakistan, to evaluate management zones by applying different urea fertilizer rates. Six urea fertilizer treatments were applied across all management zones; such as, T1 (173 kg-urea/ha), T2 (123 kg-urea/ha), T3 (74 kg-urea/ha), T4 (control; no urea application), T5 (variable rate of urea fertilizer application), and T6 (247 kg-urea/ha). The results indicated that evaluation based on normalized wheat yield data showed variability in grain yield emphasizing importance of management zones. The coefficients of variation (CV) were found to be 3%, 6%, 7%, 10%, 11%, and 16% for treatments T5, T2, T3, T6, T1 and T4, respectively. These results also indicated that treatment T5 (variable amount of urea fertilizer application) showed less variation across the management zones for grain yield data than those of treatments T4, T1, T6, T3 and T2, respectively. These results suggest that each management zone can be treated by applying variable amount of urea fertilizer rates for promoting site specific application of crop inputs.
Catching Up and Catch-Up Effect: Economic Growth in Post-Communist Europe (Lessons from the European Union and the Eastern Partnership States)

The article discusses the economic growth models in post-Communist countries of European Union and Eastern Partnership states. According to the combinatorial augmentation concept, there are new combinations for which the resources for old combinations are practically useless as they require the usage of qualitatively new resources. The combinatorial augmentation process revealed itself in the EU’s post-Communist countries in a special way when new technologies are mainly concentrated in some Western European and other developed countries while older technologies were mostly left for the EU’s post-Communist countries. For the EU’s post-Communist countries, falling behind are more characteristic than catching up which is a result of the unfortunate fact that the national innovation systems in these countries are weakly developed. Economic growth types of Eastern Partnership are based on the extremely falling behind model. Excluding the catch-up effect is of special importance in making a quantitative assessment of the differences between the economic growth indicators. The economic growth types of the Eastern Partnership states are not satisfactory – the characteristic to these countries are falling behind (or, more accurately, extremely falling behind) and coat-tail growth.
Complete surgical myocardial revascularization: shift of paradigm of the gold standard in the current era

Coronary artery bypass surgery is recommended for the patients with symptomatic coronary artery disease or patients having critical left main trunk stenosis. From the inception of the procedure it has undergone several modifications during different time periods evolving into the safe, durable and effective procedure that is to-day. Complete myocardial revascularization (CR) restores blood supply to all the territories in the myocardium that are ischemic because of narrowed blood vessels. Earlier clinical studies from the1980s showed that patients who had CR had better quality of life free of angina with less major adverse coronary events and had survival benefit when followed at 5 years and 10 years compared to the patients who had incomplete myocardial revascularization. According to the coronary artery surgery study registry the benefit is more pronounced when patients had severe triple vessel disease, class III-IV angina and decreased ejection fraction.
Dynamic Finite Element Analysis of an Elevated Station-Track Structure Coupled System Under Resonance

In this study, an elevated station and the track structure are regarded as a coupled system, and the vibration performance of the entire system is analyzed under dynamic loading. Special attention is paid to the influence of the mechanical properties of parts of the system on its vibration performance. After a brief literature review of relevant studies on urban elevated rail transit vibration performance, a three-dimensional dynamic analysis model is established considering each component and the connections of the system; furthermore, modal analysis is applied to this model. Based on the model analysis, the vibration performance under harmonic vibration loads and moving train loads are analyzed separately. During the analysis of harmonic vibration, the effects of various parameters (e.g., rail pad stiffness, mass of elastic support block) on system vibration are considered.
The evaluation of physicalefficiency with patients in cardiological rehabilitation on an outpatient basis performed with an objective and subjective manner 1

In the treatment of heart infarctions, a key role is played by the PCI – percutaneous coronary intervention. These interventions need to be assisted with pharmacological treatment and cardiological rehabilitation. In order to plan and carry out such a rehabilitation in a safe manner, the physical efficiency of the patients with myocardial infarction need to be performed. Purpose: The comparison of the objective and subjective methods of evaluation of physical efficiency with patients undergoing cardiological rehabilitation within the treatment of the myocardial infarction. Methods: The study comprised 40 subjects who had undergone the procedure of percutaneous coronary angioplasty within the treatment of myocardial infarction and who took part in cardiological rehabilitation. The rehabilitation programme consisted of 24 sixty-minute sessions with the use of ergometric training. The physical efficiency was evaluated with the use of the measurement of well-tolerated load (the score of 11–12 on the Borg scale) sTreszczenie W leczeniu zawałów serca kluczową rolę odgrywają zabiegi przezskórnej plastyki tętnic wieńcowych (PCI). Niezbędnym uzupełnieniem tych interwencji pozostaje leczenie farmakologiczne oraz rehabilitacja kardiologiczna. Aby zaplanować i bezpiecznie przeprowadzić rehabilitację kardiologiczną niezbędna jest ocena wydolności fizycznej chorych z zawałem
ROLE OF ADDITIVE IN MITIGATION OF THE NEGATIVE EFFECTS OF SALINE WATER ON CABBAGE ( BRASSICA OLERACEA VAR . CAPITATA L . )

A field experiment was conducted during the agriculture season (2014 -2015) In Horticulture station of the Ministry of Agriculture in Mahaweel which located 20 km north of Babylon city in sandy clay loam soil, using randomized complete block design (RCBD) with Systematic Arrangement of Whole – plots, to study the Effect of irrigation water quality and organic and mineral fertilization on the availability of some nutrient elements and cabbage yield, The experiment included 72 Treatment caused by the interaction between the two factors, The first factor represents the salinity of irrigation water (W) at three levels (1.4, 3 , 6 ds m) The second factor represents the organic and mineral fertilization (T) with eight in fertilizer transactions which are (Control), (Composting corn cobs 20 tons h), (Composting Cattle 20 tons h), (Composting corn cobs+ composting cattles 20 tons h ratio of 1: 1), (Chemical fertilization), (Composting corn cobs 20 tons h + Chemical fertilization), (composting cattles 20 tons h + Chemical fertilization), ((Composting corn cobs + composting cattles 20 tons h rate of 1: 1) + Chemical fertilization)). With three replicates. The results of the study Summarized as follow : The raised of water salinity levels led to significantly raise the values of electrical conductivity of the soil and nutrient elements availability (N, P and K) in the soil and A slight decrease in the PH and cabbage yield . While adding organic fertilizer led to a significant decrease in the electrical conductivity of the soil and PH, Also led to a significant increase in the nutrient elements availability (N, P and K) in the soil and cabbage yield. Mixing compost + Chemical fertilizers has led to a significant increase in available N and P in the soil, and yield compared with the addition of each of them individually. The mixing treatment ((Composting corn cobs + composting cattle's 20 tons h rate of 1: 1) + Chemical fertilizers)) outperformed on other treatments to give the highest yield values reflected significantly on the product of cabbage (60.92 ton h), There was a significant decline in the leaves contents of Nutrient (N, P, and K) , the ratio of Potassium to Sodium dry weight of leaves, chlorophyll content in leaves rising of irrigation water salinity, However all the previously mention characteristics were significant raised with addition of organic and chemical fertilizers whether alone or as mixture, the mixed treatments gave the higher averages in all of the pervious characteristics.
Comparison of multi-class support vector machines

To solve the problem of multi-class support vector machines(MSVM) selection and reduce the difficulty of multi-class classification,a comparison of four MSVMs is conducted.Based on the construction principle of MSVMs,their training complexity,test complexity and classification accuracy are analyzed respectively.Standard datasets are employed to verify the analysis of MSVMs,the result indicates that directed acyclic graph MSVM has the best accuracy and binary tree MSVM has the best performance of real-time.
CONTROL OF UNSTABLE WAVES IN THREE DIMENSIONAL BOUNDARY LAYERS

Stability experiments axe conducted in the Arizona State University Unsteady Wind Tunnel on a 45" swept airfoil. The pressure gradient is designed to provide purely crossflow-dominated transition; that is, the boundary layer is subcritical to TollmienSchlichting (T-S) disturbances. The airfoil surface is hand polished to a 0.25 pm rms finish. Under these conditions, stationary crossflow disturbances grow to nonuniform amplitude due to submicron surface irregularities near the leading edge. Spectral decompositions isolate single-mode growth rates for the fundamental and harmonic disturbancss. The measurements show early nonlinear growth causing amplitude saturation well before transition. Comparisons with nonlinear PSE calculations show excellent agreement in both the amplitude saturation and the disturbance mode shape. Background and motivation The present swept-wing research program experimentally investigates the fundamental nature of the crossflow instability which leads to transition in three-dimensional boundary layers. Gregory et al. (1955) provide the theoretical basis for the instability. It results in an Orr-Sommerfeld type solution that can be implemented in a variety of ways. See Mack (1984) for the development of the details of the instability. Reed and Saric (1989), Saric (1992b) and Arnal (1992) review the literature.
Constructing an Instrument with Behavioral Scales to Assess Teaching Quality in Blended Learning Modalities

The assessment of teaching quality in blended learning modalities has become a key element in the context of higher education. However, current evaluation systems present certain limitations. Behavioral scales overcome many of these limitations, offering an alternative for this task. This study describes the process of constructing an assessment instrument with behavioral scales to evaluate university teachers in blended learning modalities, following the BARS (Behavioral Anchored Rating Scales) methodology. The design process included interviews and surveys involving a total of 477 students, as well as a panel of professors who were experts in this teaching modality. The behavioral scales in the final instrument highlight the importance of certain particularly significant teaching-related aspects of blended learning models, namely: teacher-student communication; learning resources; course design; and the teacher’s technical competencies. The authors conclude that the final instrument provides clear and unambiguous feedback, enables the teacher to take specific corrective measures, and reinforces the formative purpose of evaluation in these modalities.
Study of Tire Noise Characteristics with High-Resolution Synchronous Images

This paper presents a paramtric study based on a high-resolution measurement system of rotating tires towards noise prediction. The developed system, to be mounted on a tire testing machine, consists of digital cameras, strobes, and a eld-programmable gate array (FPGA) board. The developed system captures a clear instant image of a rotating tire irrespective of the rotation speed by triggering strobes. Since the rotation of a tire on a testing machine is periodic, the system can e ectively capture the rotating tire at a high sampling frequency, though the digital cameras used may not have a high frame rate. The digital cameras proposed in the system are commercially available digital single-lens re ex (DSLR) cameras, which are CMOS-based and thus have high resolution, equipped with macro lenses, which further improve resolution by zooming into the tire deformation. This low-cost system is, therefore, considerably superior to high-speed cameras in both frame rate and resolution and can measure tire deformation associated with sound generation by synchronously measuring sound with a microphone array. The parametric study on a simple slot on a smooth tire was investigated by capturing images at every 0.025° tire rotation with synchronous microphone and spindle force measurements. The result demonstrated identi cation of the noise generation mechanism initiation timing and the characteristic of the noise.
“BUSY” BOARD OF DIRECTORS

We examine the association between “busyness” of the board of directors (serving on multiple boards) and bank holding company (BHC) performance and risk, an overlooked dimension of corporate governance in the banking literature. We estimate several simultaneous-equations models over the 2001-2010 period employing the 3SLS technique and instrumental variables to account for endogeneity. We find that BHC performance measures (return on assets, Tobin’s Q and earnings before interest and taxes over total assets) are positively associated with busyness of directors while BHC risks (total, market, idiosyncratic, credit and default risks) are inversely related to it. Performance (risk) benefits of having busy directors strengthened (weakened) during the recent financial crisis. Busy directors are not more likely to become problem directors (fail the 75% attendance standard) and if sitting on boards of both BHC and non-financial firms, they attend more of the BHC board meetings than those of the non-financials. Our findings partially alleviate concerns that over-boarded directors shirk their responsibilities. Implications for investors, regulators, and firm managers are drawn.
Density estimates and detection models inform stoat ( Mustela erminea ) eradication on Resolution Island , New Zealand

Resolution Island (20,800 ha) in Fiordland, New Zealand, has long held great potential as a sanctuary for the protection and reintroduction of highly threatened bird species. In 2008, the New Zealand Department of Conservation initiated a programme to eradicate wild stoats (Mustela erminea) from Resolution Island. Following the establishment of a trapping network, but prior to the traps being set, hair-snagging devices were deployed on approximately one quarter of the island, in order to obtain an independent estimate of population density. Stoat hair samples were collected from devices approximately daily over a 10-day period. DNA was extracted from 117 hair samples, and resulting genotypes were analysed using the spatially explicit mark-recapture software DENSITY, which provided a population density estimate for the study area of 0.48 stoats km-2 (95% CL 0.31 – 0.74; CV 23%). Hair tubes underestimated the ‘minimum number alive’ population density calculated from the number of stoats subsequently captured in kill-traps (an estimate of 1.4 stoats km-2) but provided precise information on detection parameters. They also gave an independent measure of initial trapping success with 21 out of 22 stoats detected in tubes being subsequently caught in traps. The above data in a Lincoln-Peterson index, with hair samples as the mark and trap samples as the recapture, gave a population estimate slightly above the actual number trapped. In a preliminary analysis, we modelled trap-capture data in a Bayesian framework and estimated that the probability of stoats persisting would be <1% after 10 consecutive checks with no captures. These models also yield a population slightly higher than the number of animals actually caught. We conclude that DOC150 traps were efficient at detecting stoats, but trapping stoats to extinction on Resolution Island will not be achieved in the near future and that initial trap spacing may have contributed to this.
Neural Networks Applications to Nuclear Fusion

It is well known that, every time a task that must be performed repeatedly or certain conditions of a system have to be dynamically controlled, neural networks can be trained to execute the processes more rapidly and with more efficiency. Thus, it can be foreseen that the operation of the future nuclear fusion reactors will profit tremendously from the use of neural networks to perform different tasks, which ranges from simple data analysis, to forecasting abrupt plasma events (like the dangerous major disruptions), which will help maintain the reactor integrity. In this article, the most important applications of artificial neural networks that were already proposed to study the magnetic plasma confinement, towards the thermonuclear fusion using tokamaks, is presented. Special attention is given to the process of major disruption predictions.
The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance

Information technology is rapidly changing the way how people collaborate in enterprises. Chatbots integrated into enterprise collaboration systems can strengthen collaboration culture and help reduce work overload. In light of a growing usage of chatbots in enterprise collaboration systems, we examine the influence of anthropomorphic and functional chatbot design features on user acceptance. We conducted a survey with professionals familiar with interacting with chatbots in a work environment. The results show a significant effect of anthropomorphic design features on perceived usefulness, with a strength four times the size of the effect of functional chatbot features. We suggest that researchers and practitioners alike dedicate priorities to anthropomorphic design features with the same magnitude as common for functional design features in chatbot design and research.
Playing Nice, Being Mean, and the Space In Between: Book Critics and the Difficulties of Writing Bad Reviews

Violence. Revenge. And a long-standing rivalry. This sounds like the stuff of Medieval or heroic literature but actually describes a dinner party at which Norman Mailer, the famed American novelist, journalist, and essayist, punched writer and critic Gore Vidal in the mouth. The reason? Retaliation over a negative book review. Critics are an example of market mediators: third parties responsible for offering professional recommendations about new products that buyers consult to inform their consumer choices (Hirsch 1972; Zuckerman 1999). Like analysts in the financial market, literary critics assess and evaluate which products (i.e., books rather than stocks) are worth consumers’ time and money. Readers consult book reviews to inform their reading selections. But critics are not simply messengers. They do not just report on the underlying value of products; otherwise they would not be of interest to sociologists of valuation (Sauder, Lynn, and Podolny 2012). Critics actively participate in constructing the worth of the objects they review. And reviews matter. In the literary world, if a book attracts the attention of critics, amidst the hundreds of new fiction titles released each week, then this is in itself a small triumph (Heilbron 1999; Janssen 2009). Simply being reviewed in the New York Times Book Review (NYTBR) is a good predictor of whether an author will go on to publish another novel (Ekelund and Borjesson 2002), thus lending empirical weight to the trade wisdom: “[I] t is better to get a negative review in the NYTBR than to get none at all” (Ekelund OUP UNCORRECTED PROOF – FIRSTPROOFS, Sat Sep 06 2014, NEWGEN