Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed finite-time coordinated control for multi-robot systems

In this paper, we study the finite-time coordinated control problems under directed topologies for multi-robot systems with general disturbances. The dynamics model of each robot is described by a Euler–Lagrange equation. When considering that only a subset of the follower robots has access to the leader information, the distributed finite-time tracking algorithm with an active leader robot is proposed. Then, we extend the tracking method to the case of containment control. Some special error functions and terminal sliding variables are defined. The finite-time convergence properties of the closed-loop systems are investigated by using a combination of matrix properties of graph theory and Lyapunov theory. Numerical examples and comparisons with other methods are provided to show the effectiveness and the performance of the proposed control strategies.
Architecture Governance Model of Local Government Website (Comparative Study between the City and District of Malang)

Information provided in government website nowadays are part of the services to the community. Basically, the website is expected to simplify the community effort in reaching the services. However, several websites are available with lots of information that is hard to understand. It can be the problem of server limitation or incapability to manage the information. In general, in the context of e-government, the technical implementation of services and policies has received little attention. The purpose of this paper is to identify information management of local government as part of public services. This study conducted a comparative study between the website of the Malang city and district government in East Java Province. To complement the analysis, interview to both website developer was conducted. The result shows that direct-and supporting-services on the web-site are classiﬁed based on functions of organizations’ structure. These services will be different among one local government to another. Understanding local characteristic is also important to provide the optimal services to public. Studies about information management in website of government may be abundant on the internet, yet the implementation of organization function as fundamental considerations for the website architecture governance is very limited.
Nejčastější chyby v měření nitrobřišního tlaku

Doporucuje se eliminace chyb v měřeni IAP: Odhaleni stavů, vedoucich ke sniženi kapacity moc. měchýře, odpocet přetlaku uměle plicni ventilace, polohovani pac. a nastaveni nulove polohy, výplach systemu.
Matrix Models of M5-Branes

We study the large N limit of matrix models of M5-branes, or (2,0) sixdimensional superconformal field theories, by making use of the Bulk/Boundary correspondence. Our emphasis is on the relation between the near-horizon limit of branes and the light-like limit of M-theory. In particular we discuss a conformal symmetry in the D0 + D4 system, and interpret it as a conformal symmetry in the discrete light-cone formulation of M5-branes. We also compute two-point functions of scalars by applying the conjecture for the AdS/CFT correspondence to the near-horizon geometry of boosted M5branes. We find an expected result up to a point subtle, but irrelevant to the IR behavior of the theory. Our analysis matches with the Seiberg and Sen’s argument of a justification for the matrix model of M-theory.
Non-Abelian geometric phases carried by the spin fluctuation tensor

The expectation values of the first and second moments of the quantum mechanical spin operator can be used to define a spin vector and spin fluctuation tensor, respectively. The former is a vector inside the unit ball in three space, while the latter is represented by an ellipsoid in three space. They are both experimentally accessible in many physical systems. By considering transport of the spin vector along loops in the unit ball, it is shown that the spin fluctuation tensor picks up geometric phase information. For the physically important case of spin one, the geometric phase is formulated in terms of an SO(3) operator. Loops defined in the unit ball fall into two classes: those which do not pass through the origin and those which pass through the origin. The former class of loops subtend a well-defined solid angle at the origin, while the latter do not, and the corresponding geometric phase is non-Abelian. To deal with both classes, a notion of generalized solid angle is introduced, which helps to clarify the interpretation of the geometric phase information. The experimental systems that can be used to observe this geometric phase are also discussed.The expectation values of the first and second moments of the quantum mechanical spin operator can be used to define a spin vector and spin fluctuation tensor, respectively. The former is a vector inside the unit ball in three space, while the latter is represented by an ellipsoid in three space. They are both experimentally accessible in many physical systems. By considering transport of the spin vector along loops in the unit ball, it is shown that the spin fluctuation tensor picks up geometric phase information. For the physically important case of spin one, the geometric phase is formulated in terms of an SO(3) operator. Loops defined in the unit ball fall into two classes: those which do not pass through the origin and those which pass through the origin. The former class of loops subtend a well-defined solid angle at the origin, while the latter do not, and the corresponding geometric phase is non-Abelian. To deal with both classes, a notion of generalized solid angle is introduced, which helps to c.
Facial Expression Analysis and The PAD Space

In this paper we present a technique for facial expression analysis and representing the underlying emotions in the PAD (Pleasure-Arousal-Dominance) space. We develop a purely appearance based approach using Multi-scale Gaussian derivatives and Support Vector Machines. The system can generalize well and is shown to outperform the baseline method.
AZD3293: Pharmacokinetic and Pharmacodynamic Effects in Healthy Subjects and Patients with Alzheimer's Disease.

AZD3293 (LY3314814) is a promising new potentially disease-modifying BACE1 (β-secretase) inhibitor in Phase III clinical development for the treatment of Alzheimer's disease. Reported here are the first two Phase I studies: (1) a single ascending dose study evaluating doses of 1-750 mg with a food-effect component (n = 72), and (2) a 2-week multiple ascending dose study evaluating doses of 15 or 50 mg once daily (QD) or 70 mg once weekly (QW) in elderly subjects (Part 1, n = 31), and 15, 50, or 150 mg QD in patients with mild to moderate Alzheimer's disease (Part 2, n = 16). AZD3293 was generally well tolerated up to the highest doses given. No notable food effects were observed. PK following multiple doses (Part 2) were tmax of 1 to 3 h and mean t1/2 of 16 to 21 h across the 15 to 150 mg dose range. For single doses of ≥5 mg, a ≥70% reduction was observed in mean plasma Aβ40 and Aβ42 concentrations, with prolonged suppression for up to 3 weeks at the highest dose level studied. Following multiple doses, robust reductions in plasma (≥64% at 15 mg and ≥78% at ≥50 mg) and cerebrospinal fluid (≥51% at 15 mg and ≥76% at ≥50 mg) Aβ peptides were seen, including prolonged suppression even with a QW dosing regimen. AZD3293 is the only BACE1 inhibitor for which prolonged suppression of plasma Aβ with a QW dosing schedule has been reported. Two Phase III studies of AZD3293 (AMARANTH, NCT02245737; and DAYBREAK-ALZ, NCT02783573) are now ongoing.
Pockets of Creativity in Business Processes

Creative processes, for instance, the development of visual effects or computer games, increasingly become part of the agenda of information systems researchers and practitioners. Such processes get their managerial challenges from the fact that they comprise both well-structured, transactional parts and creative parts. The latter can often not be precisely specified in terms of control flow, required resources, and outcome. The processes’ high uncertainty sets boundaries for the application of traditional business process management concepts, such as process automation, process modeling, process performance measurement, and risk management. Organizations must thus exercise caution when it comes to managing creative processes and supporting these with information technology. This, in turn, requires a profound understanding of the concept of creativity in business processes. In response to this, the present paper introduces a framework for conceptualizing creativity within business processes. The conceptual framework describes three types of uncertainty and constraints as well as the interrelationships among these. The study is grounded in the findings from three case studies that were conducted in the film and visual effects industry. Moreover, we provide initial evidence for the framework’s validity beyond this narrow focus. The framework is intended to serve as a sensitizing device that can guide further information systems research on creativity-related phenomena.
CASUALTY ACTUARIAL SOCIETY

: In this project, we model and predict state-specific wildfire losses in the United States using a combination of Bayesian dynamic models. In particular, the wildfire frequencies are modeled by a Bayesian multi-scale Dynamic Count Mixture Model (DCMM), which is capable of capturing a number of stylized features of wildfire data, including zero-inflation, over-dispersion compared to the Poisson distribution, and the time-varying patterns. Further, the DCMM is able to incorporate spatial dependence of different states, and thus improves the forecasting performance for individual states, especially those with low historical frequencies. Then we apply the predictive distribution of future wildfire loss to price wildfire catastrophe (CAT) bonds with different characteristics, and evaluate their hedging effectiveness for insurers in different states. We find that although using CAT bonds as a hedging tool may slightly increase the expected liability of an insurance portfolio due to bond premiums, the strategy can substantially reduce the variability risk and tail risk. Therefore, we conclude that CAT bond is a valuable tool of risk mitigation for insurers. Finally, for index-based CAT bonds whose payoffs are linked to wildfire losses in a larger area than that the insurer operates in, their hedging efficiencies are still acceptable. Therefore, it may be beneficial for insurers, especially those operates in areas with less frequent yet more volatile wildfire losses, to issue index-based CAT bonds, which are likely to be less expensive but much more liquid than indemnity bonds written directly on their liabilities.
Coefficient estimates for subclass of analytic and bi-univalent functions defined by differential operator

Abstract In this paper, we introduce and investigate a subclass Nh,pΣ (n, δ, μ, λ) of analytic and bi- univalent functions in the open unit disk U. Upper bounds for the second and third coefficients of functions in this subclass are founded. Our results, which are presented in this paper, generalize and improve those in related works of several earlier authors.
Nonlinear disturbance observer based sliding mode control for PWM-based DC-DC boost converter systems

This paper investigates a nonlinear disturbance observer (NDOB) based sliding mode control (SMC) approach for PWM-based DC-DC boost converter systems subject to resistance load disturbances and input voltage variation. By designing a novel sliding mode manifold incorporated with a disturbance estimation technique, a NDOB-based SMC method is designed for these systems. A rigorous stability analysis is presented. As compared with the nominal SMC method, the proposed method obtains a better disturbance rejection ability when the resistance load and input voltage are varying. Simulations comparison results are provided to verify the effectiveness of the proposed control method.
The Adequacy of Retirement Savings: Subjective Survey Reports by Retired Canadians

We examine retired Canadians' subjective survey reports of satisfaction with finances, and with life, relative to the period before retirement. Many more retired Canadians report enjoying life more than before retirement than the converse, and in 2002 three-quarters of retired Canadians reported being either as satisfied or more satisfied with their finances than they were in the year prior to retirement. The most significant correlate of financial dissatisfaction that our analysis uncovers is involuntary retirement and, in particular, involuntary retirement associated with poor health.
Acceptance and usage of ICT by university academicians using UTAUT model: a case study of University of Port Harcourt, Nigeria

The role of information and communication technology acceptance and usage in universities has been the focus of IS researches. Universities in Nigeria require adequate ICT facilities to augment face to face teaching. Acceptance has its models, and the most current is UTAUT. This study investigates the acceptance and usage of ICT by the University of Port Harcourt (Unipart) academic staff, using Unified Theory of Acceptance and Use of Technology (UTAUT) model and other TAM constructs. One hundred questionnaires were administered and collected. The data collected was runned by SPSS version 17. The UTAUT model theory was verified using regression analysis to understand the behavioral intention of the university academic staff towards acceptance and use of ICT in their workplace. The objectives are to examine the factors associated with ICT acceptance and usage and to measure the most influential factors. Five null hypotheses were stated. The result shows that the most influential UTAUT construct is Effort expectancy (EE), which is related to perceived ease of use (PEOU). The most influential construct outside UTAUT model is Attitudes towards use of technology (ATUT). The paper certifies that anxiety about ICT does have an impact on the academicians. The study confirms the validity of the UTAUT model in the field situation of a developing country’s educational system. The knowledge obtained from the research is beneficial to university administrators, university academicians and the Nigerian ICT policy makers.
Learning Bayesian Network Structure Using Genetic Algorithm with Consideration of the Node Ordering via Principal Component Analysis

The most challenging task in dealing with Bayesian networks is learning their structure. Two classical approaches are often used for learning Bayesian network structure: Constraint-Based method and Score-and-Search-Based one. However, neither the ﬁrst nor the second one are completely satisfactory. Therefore, the heuristic search such as Genetic Algorithms with a ﬁtness score function is considered for learning Bayesian network structure. To assure the closeness of the genetic operators, the ordering among variables (nodes) must be determined. In this paper, we determine the node ordering by considering the Principal Component Analysis (PCA). For this purpose, we ﬁrst determine the appropriate correlation between variables and then use the absolute value of variable’s coe ﬃ cients in the ﬁrst component. It means that a node X i can only
Continuous quality improvement: Effects on professional practice and healthcare outcomes

This is the protocol for a review and there is no abstract. The objectives are as follows: 1. The principle objective will be to determine from existing evidence the relative effectiveness of continuous quality improvement approaches compared with standard health care practices, the sustainability of the outcomes, and the associated costs. 2. A secondary objective will be to determine from existing evidence the relative effectiveness of continuous quality improvement approaches compared with other interventions to change professional practice such as academic detailing or guidelines, the sustainability of the outcomes, and the associated costs. 3. A series of tertiary objectives address various aspects of continuous quality improvement approaches which might influence their effectiveness in different settings: Does the relative effectiveness of continuous quality improvement approaches increase as the complexity of the proposed changes increases (e.g. more changes, more staff involved, different professions, facilities or departments involved)? Is there a relationship between the implementation strategy adopted for initiating and supporting activities and the effectiveness of continuous quality improvement approaches (e.g. trained facilitator from outside the setting compared with facilitation by a trained staff member, training all staff in a workshop, or written guidance only)? Is there a relationship between the timing, frequency and duration of meetings and the effectiveness of continuous quality improvement approaches (e.g. multiple short meetings within a wide time-frame versus occasional long meetings within a wide time-frame versus short or long meetings within a short time frame)? Is there evidence that group meetings (e.g. meetings with doctors as a group and nurses as a group, meetings with doctors and nurses together) improve the effectiveness of continuous quality improvement approaches compared to approaches which mainly involve interactions between individuals (e.g. individual meetings with each doctor and each nurse)?
Situation Recognition with Graph Neural Networks

We address the problem of recognizing situations in images. Given an image, the task is to predict the most salient verb (action), and ﬁll its semantic roles such as who is performing the action, what is the source and target of the action, etc . Different verbs have different roles ( e.g . attacking has weapon ), and each role can take on many possible values (nouns). We propose a model based on Graph Neural Networks that allows us to efﬁciently capture joint dependencies between roles using neural networks deﬁned on a graph. Experiments with different graph connectivities show that our approach that propagates information between roles signiﬁcantly outperforms existing work, as well as multiple baselines. We obtain roughly 3-5% improvement over previous work in predicting the full situation. We also provide a thorough qualitative analysis of our model and inﬂuence of different roles in the verbs.
Dirichlet forms on non self-similar sets : Hanoi attractors and the Sierpiński gasket

Diese Arbeit behandelt eine Klasse nicht sebstahnlicher Fraktale, die sogenannten Hanoi-Attraktoren zum Parameter alpha. Die analytischen und geometrischen Zusammenhange zwischen den Hanoi-Attraktoren und dem Sierpinski-Dreieck, einem der bekanntesten selbstahnlichen Fraktale, werden untersucht. Der erste Teil der Arbeit betrachtet das Problem von einem geometrischen Standpunkt: Fur jedes alpha aus dem Intervall (0,1/3) konstruieren wir den Hanoi-Attraktor und beweisen, dass die Folge vom Attraktoren in der Hausdorff-Metrik gegen das Sierpinski-Dreieck konvergiert wenn alpha gegen null geht. Daruberhinaus beweisen wir auch die Konvergenz der Hausdorff Dimension fur alpha gegen null. Der zweite Teil der Dissertation befasst sich mit der Konstruktion einer Analysis auf Hanoi-Attraktoren. Zu diesem Zweck konstruieren wir eine "resistance form" auf dem Attraktor und definieren ein geeignetes Radon-Mas. Dadurch erhalten wir eine lokale und regulare Dirichletform auf dem zugehorigen L2-Raum. Diese Form definiert einen Laplace-Operator, dessen spektrale Eigenschaften wir untersuchen. Die Untersuchung des asymptotischen Verhaltens der Eigenwertzahlfunktion des Laplace-Operators dient dazu, die spektrale Dimension von Hanoi-Attraktoren bestimmen zu konnen. Fur alle alpha aus (0, 1/3) stimmt sie mit der spektralen Dimension des Sierpinski-Dreiecks uberein. In this thesis we study a class of non self-similar fractals, the so-called Hanoi attractors of parameter alpha. We investigate the geometric and analytic relationships between the Hanoi attractors and the Sierpinski gasket, which is one of the most studied self-similar fractals. The first part of the thesis treats the problem from a geometric point of view: For each alpha in (0, 1/3) we construct the Hanoi attractor and prove that the sequence of attractors converges to the Sierpinski gasket in the Hausdorff metric as alpha tends to zero. Moreover, we prove convergence of the Hausdorff dimension as alpha tends to zero. The second part of the thesis deals with the construction of an analysis on Hanoi attractors. To this end, we introduce an appropriate resistance form on the attractor, choose a suitable Radon measure and obtain a local and regular Dirichlet form that acts on the associated L2-space. This form defines a Laplacian on the Hanoi attractor, whose spectral properties we then investigate. The study of the asymptotic behaviour of the eigenvalue counting function of this Laplacian allows us to calculate the spectral dimension of the Hanoi attractor, which turns out to coincide with the one of the Sierpinski gasket for all alpha in (0, 1/3).
Click Bait: You Won’t Believe What Happens Next!

The goal of this chapter is to investigate Click Bait, one of the strategies most commonly used by online news journalists aiming to make their headlines more attractive to readers. The chapter begins by studying Social Networks and the power they give marketers in spreading information. Next, a historical context to Click Bait is presented through its origins as Yellow Journalism, a 19th century journalism trend focused on hyperbolizing news headlines in order to increase sales. Finally, Click Bait is studied as the online application of techniques like Yellow Journalism. This section analyzes semantics and some of the most popular headline construction formulas. Literature on this matter concluded that the use of certain headline construction formulas yields significant increase in click-through rates. These increases could be beneficial to the publishing organization as they increase advertising impressions, but could also be detrimental, as these hyperbolic headlines may make readers feel manipulated.
UvA-DARE (Digital Academic Repository) Currently recommended treatments of childhood constipation are not evidence based: a systematic literature review on the effect of laxative treatment and dietary measures Pijpers,

Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva. nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
Changes in subjective well-being with retirement: assessing savings adequacy

Does retirement represent a state of relative prosperity or unanticipated hardship? To assess whether individuals are successful in smoothing their well-being across the transition to retirement we analyse measures of subjective well-being (SWB) in the Household, Income and Labour Dynamics in Australia (HILDA) Survey. Specifically, this research examines retirees’ current standard of living, financial security and overall happiness relative to their pre-retirement levels. It is found SWB either improves or remains constant for the large majority of individuals as they retire from the labour force. However, there are significant disparities in changes in well-being with retirement among the group of retirees. In particular, the subset of individuals who are forced to retire early due to job loss or their own health, and who find their income in retirement to be much less than expected, report marked declines in their SWB with retirement.