Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical Problems in Engineering 3 A qualitative analysis developed in terms of invariant sets reveals

The concept of diagonally invariant exponential stability (DIES) was originally introduced for single-model linear systems and subsequently expanded in the study of linear systems with interval-type uncertainties and linear systems with arbitrary switching. The results presented in this article refer to new approaches to DIES characterization for arbitrary switching systems, which exploit mathematical tools completely different from earlier work. The previous papers are based on the properties of matrix norms and measures applied to the constituent matrices defining the switching system, while the present paper uses the eigenvalues and eigenvectors of the column and row representatives built for a set of matrices derived from the constituentmatrices of the switching system. The applicability of previous and new results, respectively, is illustrated by case studies (in both continuousand discretetime) that lead to relevant comparisons between the two classes of analysis methods.
Migrant Youths‘ Educational Achievement: The Role of Institutions

We use 2009 Programme of International Student Assessment (PISA) data to link institutional arrangements in OECD countries to the disparity in reading, math, and science test scores for migrant and native-born students. We find that achievement gaps are larger for those migrant youths who arrive later and for those who do not speak the test language at home. Institutional arrangements often serve to mitigate the achievement gaps of some migrant students while leaving unaffected or exacerbating those of others. For example, earlier school starting ages help migrant youths in some cases, but by no means in all. Limited tracking on ability appears beneficial for migrants' relative achievement, while complete tracking and a large private school sector appear detrimental. Migrant students' achievement relative to their native-born peers suffers as educational spending and teachers' salaries increase, but is improved when examination is a component of the process for evaluating teachers.
Methodology for Selecting a New Product

One of the most significant problems in business decisionmaking is the selection of a new product, which usually has to be performed on the basis of a larger number of criteria. That is why various multi-criteria analysis methods are frequently applied (AHP, PROMETHEE, and others). Selecting a new product is not only important for the survival and future of every company, but it also presents an extremely complex task because of the range of this problem area and a large number of influential values which are of a prevailingly stochastic character. Complexity and subjectivity are particularly prominent in the procedure of assigning relative values to criteria when selecting a new product. Existing research of the criteria for selecting a new product (indices of the future success of a product) mainly deal with singling out several such indices and determining the intensity of their influence. Then potentially new products are compared with these indices, and the product with the best assessments is adopted. This is the basic idea in much important research which has been carried out in this way, for example (Cooper & Kleinschmidt, 1987; Henard & Szymanski, 2001; MontoyaWeiss & Calantone, 1987; Parry & Song, 1994). However, it is very difficult, almost impossible, to make a universal model (a model which could be suitable for a large number of companies) for defining the relative importance of criteria when selecting a new product. In the research carried out in (Nikoli}, 2004), the initial hypothesis was that every company is a multi-dimensional system, with its specificities and characteristics which have direct influence on assigning certain levels of importance to individual criteria. As a consequence of this, there is the question of variability of the importance of individual criteria that depend on numerous characteristic features of the company, and above all, the company’s degree of success. Furthermore, if one takes into account the fact that a company is a dynamic system in which there are constant numerous changes, as well as changes in its setting, then there is the question of variability of importance of some criteria in time, for one and the same company. Furthermore, it must not be overlooked that the existing research, for example (Cooper & Kleinschmidt, 1987; Henard & Szymanski, 2001; Montoya-Weiss & Calantone, 1987), mainly refers to countries with developed economies. Hence, it follows that the results of this research especially favour the indices related to the originality and attractiveness of a product, user’s needs and the like, Milan Nikoli}, Zvonko Sajfert and Branka Nikoli}
Analysis for the Social Sciences

The social sciences strive to understand the political, social, and cultural world around us, but have been impaired by limited access to the quantitative data sources enjoyed by the hard sciences. Careful analysis of Web document streams holds enormous potential to solve longstanding problems in a variety of social science disciplines through massive data analysis. This paper introduces the TextMap Access system, which provides ready access to a wealth of interesting statistics on millions of people, places, and things across a number of interesting web corpora. Powered by a flexible and scalable distributed statistics computation framework using Hadoop, continually updated corpora include newspapers, blogs, patent records, legal documents, and scientific abstracts; well over a terabyte of raw text and growing daily. The Lydia Textmap Access system, available through http://www.textmap. com/access, provides instant access for students and scholars through a convenient web user-interface. We describe the architecture of the TextMap Access system, and its impact on current research in political science, sociology, and business/marketing.
Building Transboundary Water Governance of Australia and North America

This paper uses the transboundary governance capacity framework (TGC) to compare responses to nonpoint pollution in the Great Lakes and transboundary water basins in North America and Australia. A step-wise approach to comparison refines our understanding of transboundary water governance institutions, their design and performance. Using case studies that move from similar to different geographic contexts, this comparative approach explores the opportunities and limits for mutual learning; it draws on a set of institutional indicators developed for the TGC framework to assess governance capacity within and across different geographic contexts. Governance capacity for nonpoint pollution has been uneven in the Great Lakes with pockets of success linked to high levels of multiple indicators. Capacity depends on legitimacy crafted through multi-layered participatory decision-making processes, buttressed by formal conflict resolution and the availability of regulatory mechanisms for third party enforcement if incentives and participation prove insufficient. In the Columbia, Colorado and Murray-Darling Basins ‘issue linkages’ have been used to remedy deficits in governance capacity by drawing from other water-related challenges, such as fisheries and water scarcity, where governance capacity exists. In all cases, transboundary governance capacity has required attention to ‘process values’ – that is the procedures used to come to decisions and implement nonpoint pollution programs. Future research should examine how attributes of transboundary governance capacity evolve in relation to environmental quality indicators; it should also identify finer grained measures of the indicators to ensure external validity and enable comparisons within and across case studies.
Development of Android-Based Mobile learning media on Atomic Structure and Periodic Table

This study aims to develop an Android-Based Mobile Learning Media on Atomic Structure and Periodic Table. The development of mobile learning media adapted the research and development stages by Borg & Gall which was reduced to three stages: needs assessment, media development, and media testing. Mobile learning media that has been developed is an Android-based application (.apk) named ATOMOB, with size less than 45 MB compatible on Android devices with variety of screen resolution sizes. It was reviewed by expert of chemistry, expert of multimedia, chemistry teachers, and students. The quality of this media was determined based on the aspect of subject matter, language, operating process, audio and visual display. The assessment data are collected from 10 experts, 5 chemistry teachers and 100 senior high school students by using Likert questionnaire. Overall interpretation of assessments by experts, students, and teachers resulted in very good criteria on each assessment indicator. This mobile learning media can motivate students to learn more about chemistry because students said this media is interesting, attractive, and make learning more meaningful. Therefore, mobile learning media that has been developed is feasible to be used as learning media and suitable with students’ needs.
A modeling approach for short-term load forcasting using fuzzy logic type-2 in sulselrabar system

This research proposed a modeling approach for 24-hour short-term load forcasting based on fuzzy logic type-2. In this research we get an approach in designing load forecasting model, where previously still using conventional fuzzy logic. Implementation of load forecasting in this research is done on electrical system 150 kV Sulselrabar. Sulselrabar electrical system in its development has grown rapidly, therefore needed a study that to improve system performance, one of which is the study of short-term load forcasting. As the input data used load data from 2010 to 2016 on the same day that is January 8th. To see the accuracy of the results, two approaches are performed, ie fuzzy logic type-1 modeled using Simulink and fuzzy logic type-2 modeled using m-file Matlab. From the analysis results obtained, Mean Percentage Error (MAPE) is the smallest by using Fuzzy Logic Type-2 method, compared with Fuzzy Logic Type-1 method. Where, MAPE for fuzzy logic type-1 method is 2.133371219%, and by using fuzzy logic type-2 method, MAPE is 1.729778866%.
Non-Coherent Massive SIMO Systems in ISI Channels: Constellation Design and Performance Analysis

A massive single-input multiple-output system with a single transmit antenna and a large number of receive antennas in intersymbol interference channels is considered. Contrast to existing energy detection (ED) based non-coherent receiver where conventional pulse amplitude modulation (PAM) is employed, we propose a constellation design, which minimizes the symbol error rate (SER) with the knowledge of channel statistics. To make a comparison, we derive the SERs of the ED-based receiver with both the proposed constellation and PAM, namely <inline-formula><tex-math notation="LaTeX">$P_{e\_{\rm opt}}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$P_{e\_{\rm pam}}$</tex-math></inline-formula>. Specifically, asymptotic behaviors of the SER in regimes of a large number of receive antennas and high signal-to-noise ratio are investigated. Analytical results demonstrate that the logarithms of both <inline-formula><tex-math notation="LaTeX">$P_{e\_{\rm opt}}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$P_{e\_{\rm pam}}$</tex-math></inline-formula> decrease approximately linearly with the number of receive antennas, whereas <inline-formula><tex-math notation="LaTeX">$P_{e\_{\rm opt}}$</tex-math></inline-formula> degrades faster. It is also shown that the proposed design is of less cost, because compared with PAM, less antennas are required to achieve the same error rate.
Automation in Railway Operations: Effects on Signaller and Train Driver Workload

Throughout the railway domain, increasing levels of automation are employed to ensure safety and increase efficiency on the tracks. This impacts the task characteristics of the signaller and train driver. In a scenario of German railway automation, an automated interlocking system routes trains automatically and trains equipped with “ATO over ETCS” (“Automatic Train Operation over the European Train Control System”) automatically drive along the predefined routes adhering to speed restrictions. Thus, the task load of signallers and train drivers decreases, as manual inputs decline in favour of monitoring the functioning of automatic systems. Yet, it remains unclear whether decreasing task load directly lowers subjective workload. Additionally, the question of optimal workload levels has yet to be addressed. In order to ensure optimal performance, under- and overload are to be avoided. In previous studies on workload in railway operations, workload was assessed without considering an individual optimum of workload. In the simulator studies described in the paper, subjective workload was assessed with the goal of analysing the impact of automation on achieving an optimal workload level. In two separate studies with train drivers and signallers, subjective workload was assessed by two self-report measures (NASA-TLX and DLR-WAT) after participants completed periods of manual driving and driving with automated systems. Results consistently indicate lower subjective workload in the automated work settings for both signallers and train drivers. Interestingly, signaller workload was close to optimal subjective levels while train driver workload scores were considerably lower than optimal. This highlights the need for thoughtful introduction of automation into the train driver environment. Furthermore, the DLR-WAT differentiates between mental workload caused by the different stages of information processing. In train drivers and signallers, workload stemming from information perception seems to be more pronounced than workload stemming from mental operations occurring at later stages of information processing, especially in automatic work settings. Assessing workload relative to an individual optimum and differentiating causes of mental workload along the different stages of information processing offers unique insights into signaller and train driver workload. The results make it possible to ascertain, which specific aspects of the introduction of automation in the signaller and train driver tasks lead to lowered overall workload.
Some Results on Linear Unbiased Filtering with Polar Measurements

The problem of tracking objects moving in Cartesian space with sensors delivering polar measurements has been under investigation of several researchers for quite some time now. Different proposals for using measurement conversion techniques in combination with a linear Kalman filter have been made. As one possible altennative approach, an (appnoximate) best linear unbiased estimator (BLUE) has been proposed. In this paper, some of these approaches are reinvestigated by means of a common representation form for all covered techniques (that is, including the BLUE filter) that helps analyzing and understanding the general behavior of these estimators. Some notewonthy results are presented. It will be argued that the BLUE filten in its original form may be prone to yielding indefinite estimation error variance matrices and that later variants of this filter do not exhibit this behavior. A new initialization method for these filters will be derived.
Stability analysis of neutral-type nonlinear delayed systems: An LMI approach *

The problems of determining the global asymptotic stability and global exponential stability for a class of norm-bounded nonlinear neutral differential systems with constant or time-varying delays are investigated in this work. Lyapunov method was used to derive some useful criteria of the systems’ global asymptotic stability and global exponential stability. The stability conditions are formulated as linear matrix inequalities (LMIs) which can be easily solved by various convex optimization algorithms. Moreover, for the exponentially stable system, the exponential convergence rates of the system’s states can be estimated by some parameters of the LMIs. Numerical examples are given to illustrate the application of the proposed method.
Concurrent Dual Band Radio-over-Fiber Transmission Using 1-bit Envelope Delta-Sigma Modulation

With the growing demand for bandwidth and transmission speed, mobile communication network designs must stay adaptable, efficient and cost-effective. A key integration has been Radio-over-Fiber (RoF) transmission systems that provide a cheaper option and low loss for high frequency signal transfer. For the optical transmitter, delta-sigma modulation (DSM) can be a beneficial addition. The partnership simplifies the Digital-Radio-over-Fiber setup by removing the need for additional converters and prompts adjustments based on system need. Main factors in delta-sigma modulators are the amount of quantization bits and the order of the modulator. Changing quantization bits to a single bit allows the system to use less processing bandwidth and less error experienced from optical transmission. High order structures provide more noise shaping to shift noise away from the band of interest. Still, such setups are prone to linearity problems due to clock jitter from multiple feedback loops. Different adaptations of delta-sigma modulation have been designed to combat the problems, but a key standout is the implementation of an envelope delta-sigma modulation (EDSM). Envelope delta-sigma modulation’s separate processing of envelope and phase delivers time alignment and noise shaping counter the negative implications from high order DSMs. Combining envelope delta-sigma modulation with RoF transmission is an attractive option, but research has yet to delve into carrier aggregation with these setups. This thesis explores concurrent dual band 64-QAM 20 MHz LTE Radio-over-Fiber using 1-bit envelope delta-sigma modulation. It expands transmitter functionality by concurrent signal integration. Inside the EDSM is a 4th order bandpass delta-sigma modulator custom tailored one of two carrier frequencies. The two frequencies come from two different LTE bands to show interband compatibility. The carrier frequencies are 2.112 GHz from LTE band 1 and 2.64 GHz from LTE band 7. Simulation and experimental results confirm the functionality of the proposed envelope delta-sigma modulation RoF system in single and dual band for LTE standards (error vector magnitude < 8%). Experimental results confirm that EDSM is more resilient to RoF transmission than BP-DSM. However, the EVM values for BP-DSM are better for carrier aggregated transmission.
QED: The Strange Theory of Light and Matter

Famous the world over for the creative brilliance of his insights into the physical world, Nobel Prize-winning physicist Richard Feynman also possessed an extraordinary talent for explaining difficult concepts to the nonscientist. "QED" - the edited version of four lectures on quantum electrodynamics that Feynman gave to the general public at UCLA as part of the Alix G. Mautner Memorial Lecture series - is perhaps the best example of his ability to communicate both the substance and the spirit of science to the layperson. The focus, as the title suggests, is quantum electrodynamics (QED), the part of the quantum theory of fields that describes the interactions of the quanta of the electromagnetic field - light, X rays, gamma rays - with matter and those of charged particles with one another. By extending the formalism developed by Dirac in 1933, which related quantum and classical descriptions of the motion of particles, Feynman revolutionized the quantum mechanical understanding of the nature of particles and waves. And, by incorporating his own readily visualizable formulation of quantum mechanics, Feynman created a diagrammatic version of QED that made calculations much simpler and also provided visual insights into the mechanisms of quantum electrodynamic processes. In this book, using everyday language, spatial concepts, visualizations, and his renowned "Feynman diagrams" instead of advanced mathematics, Feynman successfully provides a definitive introduction to QED for a lay readership without any distortion of the basic science. Characterized by Feynman's famously original clarity and humor, this popular book on QED has not been equaled since its publication.
Ethnographie des journées d’intégration dans un grand cabinet d’audit

Dans cet article, nous etudions la maniere dont les journees d’integration dans les grands cabinets d’audit intiment a l’auditeur de se confesser pour devenir le professionnel attendu. Nous ne cherchons pas a faire la critique du metier, mais decrivons les discours et pratiques de confession par lesquels les journees d’integration facilitent l’integration des recrues. Au moyen d’une etude ethnographique, nous montrons que ces journees forment un ensemble de discours-cadres se structurant autour de l’adoption d’une position basse, de la confession de ses faiblesses et de leur depassement par leur mise en valeur financiere. Elles permettent de comprendre comment l’introspection et la narration de soi participent a la construction de l’auditeur et definissent de facon fondamentale son professionnalisme.
Counting Processes and Survival Analysis

Preface. 0. The Applied Setting. 1. The Counting Process and Martingale Framework. 2. Local Square Integrable Martingales. 3. Finite Sample Moments and Large Sample Consistency of Tests and Estimators. 4. Censored Data Regression Models and Their Application. 5. Martingale Central Limit Theorem. 6. Large Sample results of the Kaplan-Meier Estimator. 7. Weighted Logrank Statistics. 8. Distribution Theory for Proportional Hazards Regression. Appendix A: Some Results from stieltjes Integration and Probability Theory. Appendix B: An Introduction to Weak convergence. Appendix C: The Martingale Central Limit Theorem: Some Preliminaries. Appendix D: Data. Appendix E: Exercises. Bibliography. Notation. Author Index. Subject Index.
Humic acids from vermicompost positively influence the nutrient uptake in mangosteen seedlings1

ABSTRACT The application of growth promoting substances, such as humic acids, during the formation of fruit seedlings can benefit growth and increase the plant nutrient uptake and translocation. This study aimed to evaluate the effect of the application of humic acid doses (0 mg L-1, 2 mg L-1, 20 mg L-1, 40 mg L-1 and 200 mg L-1) extracted from vermicompost of sugarcane filter cake on the nutrient uptake of seminal mangosteen (Garcinia mangostana L.) seedlings. The experimental design was completely randomized, with 7 replicates for each treatment. The application of humic acids promoted curvilinear increments with quadratic rates for N, P, K, Ca, Mg and S contents from shoots and roots, as well as quadratic increments in the Zn and Mn uptake by shoots. The application of humic acids increased the chlorophyll a and chlorophyll b contents and reduced the carotenoid content. Overall, the regression analysis demonstrated that a dose of 150 mg L-1 is capable of providing the most adequate nutrient uptake by plants, and should be recommended for the production of mangosteen seedlings. Humic acids from vermicompost can provide a better nutrition in mangosteen seedlings at the nursery stage.
Simulation and stability analysis of conflict events between employees and organization based on the social network

The conflict events between employees and organization may change with the changes in parameters of circumstance (eg, punishment, uncertainty of external environment, and group characteristics). We present the game model in the social network environment by analyzing the decision‐making process of conflict events and the factors to describe the evolution of conflict events. Finally, using Anylogic and MATLAB to give the simulation and stability analysis. This research paper can help an organization take the appropriate strategies with effective operation management.