81,303 research outputs found
Performowanie – odczucie, autotransformacja i ekspresja: Tang Shu-wing i jego Stu-dio Teatralne w Hong Kongu
No full textThis article presents the multifaceted persona of Tang Shu-wing, an acclaimed director, actor, and drama teacher, and examines his profound connections with the Polish theater tradition, particularly Jerzy Grotowski. The text also discusses Tang Shu-wing’s Shakespearean productions staged in Warsaw and Gdańsk. Marzenna Wiśniewska’s introduction contextualizes the appendix, which contains the edited transcript of a lecture delivered by Tang Shu-wing during the international online conference Contemporary Acting Techniques in Eurasian Theatre, Performance and Audiovisual Art: Intercultural and Intermedia Perspective (2021). In this lecture, the director characterizes the main ideas underlying his actor training and work on performances at the Tang Shu-wing Theatre Studio in Hong Kong. An essential part of the presentation is the characterization of Tang Shu-wing’s philosophy of art, including the four stages of an artist’s development and the methodology of authorial performance grounded in pre-verbal expression and body-based minimalist aesthetics.Artykuł prezentuje wszechstronną osobowość Tang Shu-winga, uznanego reżysera, aktora oraz pedagoga teatru, i bada jego głębokie związki z polską tradycją teatralną, zwłaszcza z Jerzym Grotowskim. Tekst omawia także szekspirowskie spektakle Tang Shu-winga wystawiane w Warszawie i w Gdańsku. Wprowadzenie Marzenny Wiśniewskiej kontekstualizuje aneks, będący opracowanym zapisem wykładu wygłoszonego przez Tang Shu-winga podczas międzynarodowej konferencji online Contemporary Acting Techniques in Eurasian Theatre, Performance and Audiovisual Art: Intercultural and Intermedia Perspective (2021). Reżyser charakteryzuje w nim główne idee stanowiące podstawę treningu aktorskiego i pracy nad spektaklami w Studiu Teatralnym Tang Shu-winga w Hongkongu. Ważną część prezentacji stanowi charakterystyka filozofii sztuki Tanga Shu-winga, obejmująca cztery etapy rozwoju artysty oraz metodę autorskiego performansu, której fundamentem jest ekspresja przedwerbalna połączona z opartą na cielesności minimalistyczną estetyką
A preliminary study on the relationship between iterative learning control and reinforcement learning
No full textIterative learning control is a control system design method that is able to achieve high tracking performance by repeatedly executing a task and learning the best input from previous attempts of performing the task. Reinforcement learning is a machine learning method that determines the best action such that some utility function (reward) is maximised by repeatedly interacting with the environment (system) and learning the best action policy based on the reward received from such interactions. These two methods belong to different subject disciplines but share a number of similarities. The relationship between these two design approaches, however, has not been investigated in detail. This paper presents a preliminary study on the relationship between iterative learning control and reinforcement learning, hopefully shedding some light on how these two areas can benefit each other in future researc
Incorporating Holding Costs in Continuous-Time Service Network Design: New Model, Relaxation, and Exact Algorithm
No full textThe continuous-time service network design problem (CTSNDP) occurs widely in practice. It aims to minimize the total operational cost by optimizing the schedules of transportation services and the routes of shipments for dispatching, which can occur at any time point along a continuous planning horizon. In order to be cost-effective, shipments often wait to be consolidated, which incurs a holding cost. Despite its importance, the holding cost has not been taken into account in existing exact solution methods for the CTSNDP because introducing it significantly complicates the problem and makes solution development very challenging. To tackle this challenge, we develop a new dynamic discretization discovery algorithm, which can solve the CTSNDP with holding cost to exactly optimum. The algorithm is based on a novel relaxation model and several new optimization techniques. Results from extensive computational experiments validate the efficiency and effectiveness of the new algorithm and also demonstrate the benefits that can be gained by taking into account holding costs in solving the CTSNDP. In particular, we show that the significance of the benefits depends on the connectivity of the underlying physical network and the flexibility of the shipments’ time requirements
The Benefits of Being Economics Professor A (and not Z)
No full textAlphabetic name ordering on multi-authored academic papers, which is the convention in the economics discipline and various other disciplines, is to the advantage of people whose last name initials are placed early in the alphabet. As it turns out, Professor A, who has been a first author more often than Professor Z, will have published more articles and experienced afaster growth rate over the course of her career as a result of reputation and visibility. Moreover, authors know that name ordering matters and indeed take ordering seriously: Several characteristics of an author group composition determine the decision to deviate from the default alphabetic name order to a significant extent.performance measurement, incentives, economists, name ordering
Final word on Jersey Dutch
No full textIn this article, William Z. Shetter compares and contrasts the dialects that developed between different Dutch colonies in the New World. He explores in-depth the nuances of Jersey Dutch, and provides theories to explain how Dutch and colonial languages blended. The article is reprinted from American Speech, December 1958, Volum XXXIII, No. 4
To boost or not to boost: immune activation in HIV infection
No full textVarious clinical experiments have suggested the significant role of CD4+ T cells activation in viral spread and immune control of HIV infection. In this paper, we use a new mathematical model to explore the intricate interactions among immune activation, CTL response, T cell depletion, and immune escape. It is shown that enhanced immune activation and proliferation of CD4+ T cells, opposite to its beneficial effects in other infections, may facilitate infection and lead to the depletion of CD4+ T cells if effective immune control is not established. By contrast, once effective CTL response to HIV is mounted, the boost of CD4+ T cell response may be beneficial for controlling infection and alleviating immune impairment. Another finding is that immune escape may occur when the infection rate is low, and enhanced activation may prevent the escape if effective immune control can be established. Simulations are provided to illustrate the theoretical analysis. © EUCAlink_to_OA_fulltex
Event-triggered control over noisy feedback channels
No full textIn this paper, the stability of a discrete-time event-triggered control system over noisy feedback channels is analyzed. The transmission between the controller and the actuator is triggered by an event involving estimated control, desirable control, and a trigger threshold. It is revealed that if the trigger threshold is less than a bound determined by the system and controller matrices, then the closed-loop system is mean square stable. In addition, two equivalent conditions based on algebraic Riccati inequality/equation (ARI/ARE) are proposed to facilitate further analysis
The Effects of Social Media on the Women of Generation Z
No full textThis paper provides a thorough examination of the multifaceted influence of social media on the lives of young women from Generation Z. It begins by contextualizing social media as a pervasive force in contemporary society, defining its various functions and highlighting generational differences in usage. Through a balanced exploration of both positive and negative effects, the paper elucidates the complex relationship between social media and the development of young women.
Positive aspects include increased connectivity, heightened awareness of social issues, and greater access to information. However, the paper also delves into negative consequences such as the pressure to maintain a curated online image and the heightened risk of online harassment and cyberbullying. Drawing on personal experiences and societal observations, the paper discusses how social media shapes self-perception, influences societal norms, and impacts mental health among young women.
The paper examines the role of social media in activism and advocacy, illustrating how it empowers young women to raise awareness and connect with like-minded individuals. Despite the challenges posed by misinformation and online harassment, social media serves as a platform for young women to express themselves and drive positive social change.
The paper emphasizes the importance of understanding the nuanced effects of social media on Generation Z women and calls for efforts to create a safer and more inclusive online environment. It underscores the potential for social media to empower young women while advocating for proactive measures to address its negative impacts
Static output-feedback stabilization of discrete-time Markovian jump linear systems: a system augmentation approach
No full textThis paper studies the static output-feedback (SOF) stabilization problem for discrete-time Markovian jump systems from a novel perspective. The closed-loop system is represented in a system augmentation form, in which input and gain-output matrices are separated. By virtue of the system augmentation, a novel necessary and sufficient condition for the existence of desired controllers is established in terms of a set of nonlinear matrix inequalities, which possess a monotonic structure for a linearized computation, and a convergent iteration algorithm is given to solve such inequalities. In addition, a special property of the feasible solutions enables one to further improve the solvability via a simple D-K type optimization on the initial values. An extension to mode-independent SOF stabilization is provided as well. Compared with some existing approaches to SOF synthesis, the proposed one has several advantages that make it specific for Markovian jump systems. The effectiveness and merit of the theoretical results are shown through some numerical example
Strong Stability Preserving Runge–Kutta and Linear Multistep Methods
No full textThis paper reviews strong stability preserving discrete variable methods for differential systems. The strong stability preserving Runge–Kutta methods have been usually investigated in the literature on the subject, using the so-called Shu–Osher representation of these methods, as a convex combination of first-order steps by forward Euler method. In this paper, we revisit the analysis of strong stability preserving Runge–Kutta methods by reformulating these methods as a subclass of general linear methods for ordinary differential equations, and then using a characterization of monotone general linear methods, which was derived by Spijker in his seminal paper (SIAM J Numer Anal 45:1226–1245, 2007). Using this new approach, explicit and implicit strong stability preserving Runge–Kutta methods up to the order four are derived. These methods are equivalent to explicit and implicit RK methods obtained using Shu–Osher or generalized Shu–Osher representation. We also investigate strong stability preserving linear multistep methods using again monotonicity theory of Spijker
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