Hasil untuk "The performing arts. Show business"

Carol Maddock, Dani Kalarikalayil Raju, Khushboo Ahire et al.

Our work is a collection of artefacts: drawings, storyboards, films, music and poems created by a tribal community in rural India during interactive workshops which used various participatory arts-based methods to tell stories about the experiences related to a new solar powered community building. Energy use is deeply connected with human cultures, practices, norms and values. This article challenges assumptions about linear progress between energy access and women’s empowerment, demonstrating that the impact is not immediate but requires social adaptation over time. It gradually uncovers complex power dynamics and social hierarchy within the tight-knit community. This article is also a five-year journey (2019–2024) of four different researchers from diverse backgrounds and their attempts to capture and edit various acts of thinking surfaced through these methods. As global momentum towards sustainable energy gathers pace, our work reflects different ways of engaging, stimulating various ways of thinking and structuring dialogue about energy transition within the community. We focus on the potential of these methods to capture the embodied dimensions in the forms of artefacts as shown in the film. We position our work as a novel approach in energy studies that uses the lens of embodied research to understand the frictions of social realities in energy transitions, and surfaces hidden factors like socio-economic status, stakeholders’ involvement, and the critical role of gender in energy.

Muhammad Arslan, Saba Munawar, Christophe Cruz

Businesses heavily rely on data sourced from various channels like news articles, financial reports, and consumer reviews to drive their operations, enabling informed decision-making and identifying opportunities. However, traditional manual methods for data extraction are often time-consuming and resource-intensive, prompting the adoption of digital transformation initiatives to enhance efficiency. Yet, concerns persist regarding the sustainability of such initiatives and their alignment with the United Nations (UN)'s Sustainable Development Goals (SDGs). This research aims to explore the integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) as a sustainable solution for Information Extraction (IE) and processing. The research methodology involves reviewing existing solutions for business decision-making, noting that many systems require training new machine learning models, which are resource-intensive and have significant environmental impacts. Instead, we propose a sustainable business solution using pre-existing LLMs that can work with diverse datasets. We link domain-specific datasets to tailor LLMs to company needs and employ a Multi-Agent architecture to divide tasks such as information retrieval, enrichment, and classification among specialized agents. This approach optimizes the extraction process and improves overall efficiency. Through the utilization of these technologies, businesses can optimize resource utilization, improve decision-making processes, and contribute to sustainable development goals, thereby fostering environmental responsibility within the corporate sector.

Lukas Böhme, Tobias Wuttke, Ralf Teusner et al.

Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers address current ERP systems' challenges and how they may be used for research on the next generation of business software for tomorrow's enterprises.

Sukanya Sarker

The currently popular Indian Musical Instruments have undergone tremendous changes during the passing of time. This has occurred in terms of its playing styles, modes of presentations and its architecture. What caused these changes is remained to be studied. There might be some inter-relationship between these four factors, namely, the changes/advancement occurred in playing techniques, picking preferences of playable materials, changes in execution styles and the changes of architecture of the instruments. Consequently, the effect of changes in the society which directly reflected on the patronization and general attitude of the people towards this art form may have played important roles in the changes in music. How the musicians felt the urge of widening its area of penetration amongst the masses of the world and what was the impact of globalization on this art and craft remained to be studied.

Мирзаев Аскар Манасович

В статье автор исследует вопрос необходимости PR и SMM-деятельности в арт-индустрии на примере работы Государственного музея искусств им. Абылхана Кастеева в Алматы. Исследование выявляет проблематику работы культурного учреждения в условиях диджитализации, пандемии, анализирует факторы влияния и методы функционирования, а также сообщает об итогах и достижениях

Shumin Deng, Chengming Wang, Zhoubo Li et al.

Business Knowledge Graphs (KGs) are important to many enterprises today, providing factual knowledge and structured data that steer many products and make them more intelligent. Despite their promising benefits, building business KG necessitates solving prohibitive issues of deficient structure and multiple modalities. In this paper, we advance the understanding of the practical challenges related to building KG in non-trivial real-world systems. We introduce the process of building an open business knowledge graph (OpenBG) derived from a well-known enterprise, Alibaba Group. Specifically, we define a core ontology to cover various abstract products and consumption demands, with fine-grained taxonomy and multimodal facts in deployed applications. OpenBG is an open business KG of unprecedented scale: 2.6 billion triples with more than 88 million entities covering over 1 million core classes/concepts and 2,681 types of relations. We release all the open resources (OpenBG benchmarks) derived from it for the community and report experimental results of KG-centric tasks. We also run up an online competition based on OpenBG benchmarks, and has attracted thousands of teams. We further pre-train OpenBG and apply it to many KG- enhanced downstream tasks in business scenarios, demonstrating the effectiveness of billion-scale multimodal knowledge for e-commerce. All the resources with codes have been released at \url{https://github.com/OpenBGBenchmark/OpenBG}.

Matyáš Skalický, Štěpán Šimsa, Michal Uřičář et al.

Information extraction from semi-structured documents is crucial for frictionless business-to-business (B2B) communication. While machine learning problems related to Document Information Extraction (IE) have been studied for decades, many common problem definitions and benchmarks do not reflect domain-specific aspects and practical needs for automating B2B document communication. We review the landscape of Document IE problems, datasets and benchmarks. We highlight the practical aspects missing in the common definitions and define the Key Information Localization and Extraction (KILE) and Line Item Recognition (LIR) problems. There is a lack of relevant datasets and benchmarks for Document IE on semi-structured business documents as their content is typically legally protected or sensitive. We discuss potential sources of available documents including synthetic data.

Emily Calvet, Rodrigo Falcão, Lucineia Thom

A farm generates a lot of data from various systems, which is then stored in a distributed manner, usually in non-standardized formats, which bears the risk of data inconsistencies. This work addresses this issue by using business process management (BPM) to demonstrate that the use of digital twins (DTs) can improve interoperability between services in the agriculture domain. Steps from the BPM lifecycle were applied to a farming use case in Germany. First, the as-is business process model was discovered and modeled without DTs, analyzed and then redesigned into the to-be model according to the DT integration. The to-be model showed a reduction in the number of tasks needed to be performed by the farmer as well as an improvement of process data quality, interoperability, and efficiency. Finally, a comparison of the' average processing times of both models with the help of process simulation revealed improvements in the to-be process.

Victoria Thoms

Qual foi o papel da figura da dançarina feminina na negociação das ansiedades culturais na era da Primeira Guerra Mundial? Eu exploro essa questão analisando a performer Maud Allan, famosa por suas interpretações dançadas de Salomé na Londres do pré-guerra e a causa de um extraordinário processo por difamação em 1918, que une sexualidade feminina desviante e espionagem em tempos de guerra. Justaponho Allan com a bailarina Anna Pavlova, sua contemporânea, modelo por excelência de uma feminilidade adequada. Esses dois exemplos oferecem uma rica comparação a partir da qual podemos discutir como a dança e a feminilidade foram as bases para incitar e atenuar o profundo trauma cultural da era da Primeira Guerra Mundial. Palavras-chave Dança. Feminilidade. Trauma cultural. Era da Primeira Guerra Mundial.

Mohammad Amin Edrisi

Establishing a new business may involve Knowledge acquisition in various areas, from personal to business and marketing sources. This task is challenging as it requires examining various data islands to uncover hidden patterns and unknown correlations such as purchasing behavior, consumer buying signals, and demographic and socioeconomic attributes of different locations. This paper introduces a novel framework for extracting and identifying important features from banking and non-banking data sources to address this challenge. We present an attention-based supervised feature selection approach to select important and relevant features which contribute most to the customer's query regarding establishing a new business. We report on the experiment conducted on an openly available dataset created from Kaggle and the UCI machine learning repositories.

Charlotta Ruth, Ellen Kress, Josiah Pearsall et al.

A collection of five video essays on embodiment and social distancing, with a focus on performances. ELLEN KRESS, “Rest is Resistance: Embodied Reflections of the Retraction Period in the Creative Process” (00:10): This video essay contemplates the role that rest performs in my own creativity, connecting the labor movement, technology and the radical act of restorative rest. LASSE MOURITZEN AND KRISTINE SAMSON, “Pandemic Encounters” (05:34): As social distance became a daily routine, urban lives changed into sites of strange encounters, negotiating proximity and presence anew. JOSIAH PEARSALL, “I All Occur Within Arm’s Reach” (10:24): This video performance from April and May 2020 explores my embodied position in an isolated and constrained world; my world exists within the frame of a desk and a computer. SHABARI RAO, “Nothing to Show” (15:45): We are constantly redrawing and rediscovering our sense of self through feedback (intended and unintended) that we receive through physically sharing space with different people in a variety of environments. With social distancing, that range of environments is severely and suddenly restricted. What happens to my sense of self in these circumstances? How do I know who I am? What do I have to show the world and my self to confirm my sense of self? CHARLOTTA RUTH, “What is liveness and what can it be?” (19:59): Rethinking Alfred Schütz’s essay “On multiple realities” for online to offline existence.

Matīss Rikters, Ryokan Ri, Tong Li et al.

While the progress of machine translation of written text has come far in the past several years thanks to the increasing availability of parallel corpora and corpora-based training technologies, automatic translation of spoken text and dialogues remains challenging even for modern systems. In this paper, we aim to boost the machine translation quality of conversational texts by introducing a newly constructed Japanese-English business conversation parallel corpus. A detailed analysis of the corpus is provided along with challenging examples for automatic translation. We also experiment with adding the corpus in a machine translation training scenario and show how the resulting system benefits from its use.

Ahmed E. Youssef

Security is considered one of the top ranked risks of Cloud Computing (CC) due to the outsourcing of sensitive data onto a third party. In addition, the complexity of the cloud model results in a large number of heterogeneous security controls that must be consistently managed. Hence, no matter how strongly the cloud model is secured, organizations continue suffering from lack of trust on CC and remain uncertain about its security risk consequences. Traditional risk management frameworks do not consider the impact of CC security risks on the business objectives of the organizations. In this paper, we propose a novel Cloud Security Risk Management Framework (CSRMF) that helps organizations adopting CC identify, analyze, evaluate, and mitigate security risks in their Cloud platforms. Unlike traditional risk management frameworks, CSRMF is driven by the business objectives of the organizations. It allows any organization adopting CC to be aware of cloud security risks and align their low-level management decisions according to high-level business objectives. In essence, it is designed to address impacts of cloud-specific security risks into business objectives in a given organization. Consequently, organizations are able to conduct a cost-value analysis regarding the adoption of CC technology and gain an adequate level of confidence in Cloud technology. On the other hand, Cloud Service Providers (CSP) are able to improve productivity and profitability by managing cloud-related risks. The proposed framework has been validated and evaluated through a use-case scenario.

Eloy de Lera Acedo, Hardie Pienaar, Nima Razavi Ghods et al.

This report was submitted as part of the SKA Low Frequency Aperture Array Critical Design Review describing the design of the SKA1-LOW station that took place between 2013 and 2018. The SKA1 LOW field station is inscribed in a circular area having an effective station diameter (centre to centre) of 38 meters and has 256 SKALA4 elements. This document describes the electromagnetic design of the field station. In particular it describes the layout design and the electromagnetic modelling and characteristics of the station. This document describes the effects associated with the layout and array such as mutual coupling effects, side lobe pattern and beam shape (eg. smoothness, calibration models) and presents the state of the art of our ability to measure the array performance and validate the simulation work. The current LFAA field node requirements, derived from the SKA L1 requirements, have evolved over the last years since the LFAA PDR and the System Baseline Design. The SKA1 LOW field station has been designed to meet those requirements and has therefore tracked their evolution (eg. sensitivity requirements, array diameter, etc.). The aforementioned requirements represent a very tight space with a desire for very high sensitivity over a large frequency range (7 to 1) and wide field of view (90 degrees cone around zenith) while keeping the station diameter to a minimum, so as the filling factor but at the same time allowing for sufficient space between antennas to allow for easy maintenances, amongst many others. This results in a complex design.

Ruixue Zhang, Wei Yang, Luyun Lin et al.

Techniques for automatically extracting important content elements from business documents such as contracts, statements, and filings have the potential to make business operations more efficient. This problem can be formulated as a sequence labeling task, and we demonstrate the adaption of BERT to two types of business documents: regulatory filings and property lease agreements. There are aspects of this problem that make it easier than "standard" information extraction tasks and other aspects that make it more difficult, but on balance we find that modest amounts of annotated data (less than 100 documents) are sufficient to achieve reasonable accuracy. We integrate our models into an end-to-end cloud platform that provides both an easy-to-use annotation interface as well as an inference interface that allows users to upload documents and inspect model outputs.

Pamela Brownell

El siguiente artículo presenta los avances de una investigación destinada a estudiar comparativamente distintas modalidades de teatro documental desarrolladas en la escena argentina contemporánea. En este caso, se pone en foco la experiencia de Archivo White, un proyecto documental desarrollado en el marco del Museo-Taller Ferrowhite (Ing. White, Bahía Blanca, Argentina) que trabajó con vecinos de la comunidad siguiendo el modelo desarrollado por Vivi Tellas en el marco de su proyecto Biodrama. El análisis de las distintas puestas en escena que integraron Archivo White –Marto concejal (2007), Archivo Caballero (2008), Con tormenta se duerme mejor (2009) y Flying Fish. La vuelta al mundo con Roberto Orzali (2010)– constituye un aporte para la historización detallada de esta experiencia y busca, a su vez, ofrecer una base para proyectar algunas reflexiones ligadas a los temas centrales de este dossier sobre Politicidad, memoria y experimentación escénica y documental en las realizaciones teatrales y performáticas argentinas de los 60 a la actualidad.

Javier Ignacio Ibarra Letelier

El presente artículo se centra en el campo de la dirección escénica contemporánea utilizando como estudio de caso la puesta en escena "Ricardo III" de Thomas Ostermeier, analizada desde la perspectiva teórica de los estudios realizados por Hans-Thies Lehmann y Erika Fischer-Lichte sobre el teatro posdramático y la estética de lo performativo. La teoría de estos autores se ha propuesto como soporte para considerar aspectos y definiciones estéticas contemporáneas que se puedan ajustar al trabajo de directores que combinan lo convencional con lo performativo.

Barbara McGillivray, Gard Jenset, Dominik Heil

Open-ended survey data constitute an important basis in research as well as for making business decisions. Collecting and manually analysing free-text survey data is generally more costly than collecting and analysing survey data consisting of answers to multiple-choice questions. Yet free-text data allow for new content to be expressed beyond predefined categories and are a very valuable source of new insights into people's opinions. At the same time, surveys always make ontological assumptions about the nature of the entities that are researched, and this has vital ethical consequences. Human interpretations and opinions can only be properly ascertained in their richness using textual data sources; if these sources are analyzed appropriately, the essential linguistic nature of humans and social entities is safeguarded. Natural Language Processing (NLP) offers possibilities for meeting this ethical business challenge by automating the analysis of natural language and thus allowing for insightful investigations of human judgements. We present a computational pipeline for analysing large amounts of responses to open-ended questions in surveys and extract keywords that appropriately represent people's opinions. This pipeline addresses the need to perform such tasks outside the scope of both commercial software and bespoke analysis, exceeds the performance to state-of-the-art systems, and performs this task in a transparent way that allows for scrutinising and exposing potential biases in the analysis. Following the principle of Open Data Science, our code is open-source and generalizable to other datasets.

Arkadiusz Rogoziński

A book review of the Polish translation of The Quality of Mercy: Reflections on Shakespeare by Peter Brook. The reviewer thoroughly, chapter after chapter, follows the director’s argument, analysing his reflexions. He emphasises the key questions and problems posed by Brook, who has grappled with Shakespeare’s work and confronted it with real life, the political and social reality, and most of all, with theatrical practice for the last seventy years. The conclusions reached by the author by the end of the book, as brilliant and amazing as they are in their profoundness and simplicity, serve Arkadiusz Rogoziński as a starting point for his own doubts and questions. The review ends with the questions that open up room for further discussion: Is it possible for the theatre of the Christian world to have some other meaning than that invented by the ancient Greeks? Will freedom, mercy, and quality—the Shakespearean terms analysed by Brook in detail—ever be able to replace pity and fear?

Patryk Kencki

Introduction to Franciszka Urszula Radziwiłłowa's translation of Molière's Le médecin malgré lui. Among the comic characters created by Molière, three are special: Scapin, Mascarille, and Sganarelle. The comedies that feature them found their way to Old Polish stages, being performed either in the original language or in Polish translation or adaptation. The oeuvre of Franciszka Urszula Radziwiłłowa contains Polish adaptations of three plays by the French playwright. Besides Les précieuses ridicules and Les amants magnifiques, there is also Le médecin malgré lui translated by the duchess into Polish as Gwałtem medyk. The comedy shows Sganarelle’s adventures as he is forced to play a doctor. Sganarelle appears in several plays by Molière. Inasmuch as in the first of them (Le médecin volant) we see a rather typical wily servant, he takes on more individual qualities in later comedies, becoming characteristically cowardly and imprudent. The edition of the Polish adaptation by Duchess Radziwiłłowa provides a chance to take a look at Sganarelle and other stock characters that can be regarded as Harlequin’s close relatives. Thus, the introduction to the edition focuses on these characters in Molière’s work, setting them side by side with some insights about Harlequin, who appears in the Duchess’s plays several times. Additionally, the introduction traces out the reception of Le médecin malgré lui in Poland in the first half of the 18th century and examines Radziwiłłowa’s translating techniques. The conclusion stresses the metatheatrical aspect of Sganarelle as an archetypal comedian.