Hasil untuk "Modern history, 1453-"

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arXiv Open Access 2026
Brahe: A Modern Astrodynamics Library for Research and Engineering Applications

Duncan Eddy, Mykel J. Kochenderfer

Brahe is a modern satellite dynamics library for research and engineering applications. The representation and prediction of satellite motion is the fundamental problem of astrodynamics. Current research and applications in space situational awareness, satellite task planning, and space mission operations require accurate and efficient numerical tools to perform coordinate transformations, model perturbations, and propagate orbits. While the core algorithms for predicting and modeling satellite motion have been known for decades, there is a lack of modern, open-source software that implements these algorithms in a way that is accessible to researchers and engineers. brahe is designed to address these challenges by providing a modern, open-source astrodynamics library that is quick-to-deploy, composable, extensible, and easy-to-learn.

en astro-ph.IM
DOAJ Open Access 2025
Pode um menor delinquente ser uma vítima da guerra? Os especialistas da Justiça de Menores francesa frente aos impactos psíquicos da Segunda Guerra Mundial

Franciele Becher

Por meio de uma análise qualitativa de dossiês da Justiça de Menores francesa, este artigo propõe um estudo de caso sobre a maneira como especialistas dos centros de observação (principalmente psiquiatras, psicólogos e assistentes sociais) avaliaram adolescentes infratores com claros sinais de sofrimento psíquico decorrente dos bombardeios e da repressão racial da Shoah durante a Segunda Guerra Mundial e a ocupação nazista da França, que passaram por essas instituições entre 1945 e 1953. A análise dos dossiês de Angèle e Olivier, vítimas diretas dos ataques aéreos, assim como dos de Manès e Yann, dois adolescentes judeus fortemente afetados pelo genocídio, revelam uma profunda incompreensão dos especialistas em relação ao sofrimento desses jovens. Em alguns casos, o contexto da guerra foi completamente ignorado, ou então minimizado em favor de interpretações que reforçaram estereótipos ultrapassados sobre delinquência juvenil, preconceitos sociais ou arquétipos de gênero. Muitas vezes, os especialistas se declararam mesmo incompetentes para lidar com esses adolescentes, o que resultou na invisibilização de suas experiências juvenis da guerra, manifestadas na angústia registrada nas fontes analisadas. Conclui-se que, embora os centros de observação tenham sido idealizados como instituições modernas e científicas, voltadas a auxiliar o juiz a romper com o ciclo repressivo da Justiça de Menores francesa, que ingressou em uma nova era a partir de 1945, eles não estavam preparados para acolher esses adolescentes marcados pela guerra e pela repressão. Essas instituições acabaram, assim, por reforçar antigas nosografias psiquiátricas e os estereótipos da delinquência juvenil do período entreguerras.

History (General), Modern history, 1453-
arXiv Open Access 2025
The Impact of Modern AI in Metadata Management

Wenli Yang, Rui Fu, Muhammad Bilal Amin et al.

Metadata management plays a critical role in data governance, resource discovery, and decision-making in the data-driven era. While traditional metadata approaches have primarily focused on organization, classification, and resource reuse, the integration of modern artificial intelligence (AI) technologies has significantly transformed these processes. This paper investigates both traditional and AI-driven metadata approaches by examining open-source solutions, commercial tools, and research initiatives. A comparative analysis of traditional and AI-driven metadata management methods is provided, highlighting existing challenges and their impact on next-generation datasets. The paper also presents an innovative AI-assisted metadata management framework designed to address these challenges. This framework leverages more advanced modern AI technologies to automate metadata generation, enhance governance, and improve the accessibility and usability of modern datasets. Finally, the paper outlines future directions for research and development, proposing opportunities to further advance metadata management in the context of AI-driven innovation and complex datasets.

en cs.DB, cs.AI
arXiv Open Access 2025
Bridging Classical and Modern Approaches to Thales' Theorem

Piotr Błaszczyk, Anna Petiurenko

In this paper, we reconstruct Euclid's theory of similar triangles, as developed in Book VI of the \textit{Elements}, along with its 20th-century counterparts, formulated within the systems of Hilbert, Birkhoff, Borsuk and Szmielew, Millman and Parker, as well as Hartshorne. In the final sections, we present recent developments concerning non-Archimedean fields and mechanized proofs. Thales' theorem (VI.2) serves as the reference point in our comparisons. It forms the basis of Euclid's system and follows from VI.1 the only proposition within the theory of similar triangles that explicitly applies the definition of proportion. Instead of the ancient proportion, modern systems adopt the arithmetic of line segments or real numbers. Accordingly, they adopt other propositions from Euclid's Book VI, such as VI.4, VI.6, or VI.9, as a basis. In §\,10, we present a system that, while meeting modern criteria of rigor, reconstructs Euclid's theory and mimics its deductive structure, beginning with VI.1. This system extends to automated proofs of Euclid's propositions from Book VI. Systems relying on real numbers provide the foundation for trigonometry as applied in modern mathematics. In §\,9, we prove Thales' theorem in geometry over the hyperreal numbers. Just as Hilbert managed to prove Thales' theorem without referencing the Archimedean axiom, so do we by applying the arithmetic of the non-Archimedean field of hyperreal numbers.

en math.HO
arXiv Open Access 2024
Forecasting Live Chat Intent from Browsing History

Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi et al.

Customers reach out to online live chat agents with various intents, such as asking about product details or requesting a return. In this paper, we propose the problem of predicting user intent from browsing history and address it through a two-stage approach. The first stage classifies a user's browsing history into high-level intent categories. Here, we represent each browsing history as a text sequence of page attributes and use the ground-truth class labels to fine-tune pretrained Transformers. The second stage provides a large language model (LLM) with the browsing history and predicted intent class to generate fine-grained intents. For automatic evaluation, we use a separate LLM to judge the similarity between generated and ground-truth intents, which closely aligns with human judgments. Our two-stage approach yields significant performance gains compared to generating intents without the classification stage.

en cs.CL, cs.AI
arXiv Open Access 2023
Efficient OCR for Building a Diverse Digital History

Jacob Carlson, Tom Bryan, Melissa Dell

Thousands of users consult digital archives daily, but the information they can access is unrepresentative of the diversity of documentary history. The sequence-to-sequence architecture typically used for optical character recognition (OCR) - which jointly learns a vision and language model - is poorly extensible to low-resource document collections, as learning a language-vision model requires extensive labeled sequences and compute. This study models OCR as a character level image retrieval problem, using a contrastively trained vision encoder. Because the model only learns characters' visual features, it is more sample efficient and extensible than existing architectures, enabling accurate OCR in settings where existing solutions fail. Crucially, the model opens new avenues for community engagement in making digital history more representative of documentary history.

en cs.CV, cs.DL
arXiv Open Access 2023
History Filtering in Imperfect Information Games: Algorithms and Complexity

Christopher Solinas, Douglas Rebstock, Nathan R. Sturtevant et al.

Historically applied exclusively to perfect information games, depth-limited search with value functions has been key to recent advances in AI for imperfect information games. Most prominent approaches with strong theoretical guarantees require subgame decomposition - a process in which a subgame is computed from public information and player beliefs. However, subgame decomposition can itself require non-trivial computations, and its tractability depends on the existence of efficient algorithms for either full enumeration or generation of the histories that form the root of the subgame. Despite this, no formal analysis of the tractability of such computations has been established in prior work, and application domains have often consisted of games, such as poker, for which enumeration is trivial on modern hardware. Applying these ideas to more complex domains requires understanding their cost. In this work, we introduce and analyze the computational aspects and tractability of filtering histories for subgame decomposition. We show that constructing a single history from the root of the subgame is generally intractable, and then provide a necessary and sufficient condition for efficient enumeration. We also introduce a novel Markov Chain Monte Carlo-based generation algorithm for trick-taking card games - a domain where enumeration is often prohibitively expensive. Our experiments demonstrate its improved scalability in the trick-taking card game Oh Hell. These contributions clarify when and how depth-limited search via subgame decomposition can be an effective tool for sequential decision-making in imperfect information settings.

en cs.GT, cs.AI
arXiv Open Access 2023
Impact of the primordial fluctuation power spectrum on the reionization history

Teppei Minoda, Shintaro Yoshiura, Tomo Takahashi

We argue that observations of the reionization history can be used as a probe of primordial density fluctuations, particularly on small scales. Although the primordial curvature perturbations are well constrained from measurements of cosmic microwave background (CMB) anisotropies and large-scale structure, these observational data probe the curvature perturbations only on large scales, and hence its information on smaller scales will give us further insight on primordial fluctuations. Since the formation of early galaxies is sensitive to the amplitude of small-scale perturbations, and then, in turn, gives an impact on the reionization history, one can probe the primordial power spectrum on small scales through observations of reionization. In this work, we focus on the running spectral indices of the primordial power spectrum to characterize the small-scale perturbations, and investigate their impact on the reionization history using the numerical code \texttt{21cmFAST}, which adopts a simple but commonly used reionization model. We also derive the constraints on the running spectral indices from observations of the reionization history indicated by the luminosity function of the Lyman-$α$ emitters. We show that the reionization history, in combination with large-scale observations such as CMB, would be a useful tool to investigate primordial density fluctuations.

en astro-ph.CO, astro-ph.GA
arXiv Open Access 2022
CoHS-CQG: Context and History Selection for Conversational Question Generation

Xuan Long Do, Bowei Zou, Liangming Pan et al.

Conversational question generation (CQG) serves as a vital task for machines to assist humans, such as interactive reading comprehension, through conversations. Compared to traditional single-turn question generation (SQG), CQG is more challenging in the sense that the generated question is required not only to be meaningful, but also to align with the occurred conversation history. While previous studies mainly focus on how to model the flow and alignment of the conversation, there has been no thorough study to date on which parts of the context and history are necessary for the model. We argue that shortening the context and history is crucial as it can help the model to optimise more on the conversational alignment property. To this end, we propose CoHS-CQG, a two-stage CQG framework, which adopts a CoHS module to shorten the context and history of the input. In particular, CoHS selects contiguous sentences and history turns according to their relevance scores by a top-p strategy. Our model achieves state-of-the-art performances on CoQA in both the answer-aware and answer-unaware settings.

en cs.CL
arXiv Open Access 2022
Tunneling between multiple histories as a solution to the information loss paradox

Pisin Chen, Misao Sasaki, Dong-han Yeom et al.

The information loss paradox associated with black hole Hawking evaporation is an unresolved problem in modern theoretical physics. In a recent brief essay, we revisited the the evolution of the black hole entanglement entropy via the Euclidean path integral (EPI) of the quantum state and allow for the branching of semi-classical histories along the Lorentzian evolution. We posited that there exist at least two histories that contribute to EPI, where one is an information-losing history while the other is information-preserving. At early times, the former dominates EPI, while at late times the latter becomes dominant. By so doing we recovered the essence of the Page curve and thus the unitarity, albeit with the turning point, i.e., the Page time, much shifted toward the late time. In this full-length paper, we fill in the details of our arguments and calculations to strengthen our notion. One implication of this modified Page curve is that the entropy bound may thus be violated. We comment on the similarity and difference between our approach and that of the replica wormholes and the islands conjectures.

en gr-qc, astro-ph.HE
S2 Open Access 2021
The Afro-Asian Silk Road: Chinese Experiments in Postcolonial Premodernity

Tamara T. Chin

Abstract This essay approaches the Silk Road as a modern narrative of China's connected past, rather than as a historical fact. The Chinese term Silk Road (sichou zhi lu; 丝绸之路) first gained currency after the 1955 Afro-Asian Conference in Bandung as part of the lexicon of anticolonial solidarity. During the Cold War, China's Afro-Asian Silk Road, different from the West's Europe-Asia Silk Road, prompted new interest in the linguistic dimension of connected history. Language contact traditionally held limited significance in European and Chinese philology because linguistic divisions were understood in terms of nation or language family. For Afro-Asian scholars and writers, however, precolonial language contact became a portent of postcolonial exchange. They shifted attention from genetic word roots to historical routes (e.g., loanwords). Within a longer history of what I call “contact philology,” China's short-lived collaborations refashioned the Orient as Afro-Asia and presented an (unfinished) critique of the tropes with which we narrate the connected past.

arXiv Open Access 2021
The Use of Quantile Methods in Economic History

Damian Clarke, Manuel Llorca Jaña, Daniel Pailañir

Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution of continuous dependent variables. Measurement in many quantative settings in economic history have as a key input continuous outcome variables of interest. Among many other cases, human height and demographics, economic growth, earnings and wages, and crop production are generally recorded as continuous measures, and are collected and studied by economic historians. In this paper we describe and discuss the broad utility of quantile regression for use in research in economic history, review recent quantitive literature in the field, and provide an illustrative example of the use of these methods based on 20,000 records of human height measured across 50-plus years in the 19th and 20th centuries. We suggest that there is considerably more room in the literature on economic history to convincingly and productively apply quantile regression methods.

en econ.GN
arXiv Open Access 2020
SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm

Takumi Nakane, Xuequan Lu, Chao Zhang

In evolutionary algorithms, genetic operators iteratively generate new offspring which constitute a potentially valuable set of search history. To boost the performance of crossover in real-coded genetic algorithm (RCGA), in this paper we propose to exploit the search history cached so far in an online style during the iteration. Specifically, survivor individuals over past few generations are collected and stored in the archive to form the search history. We introduce a simple yet effective crossover model driven by the search history (abbreviated as SHX). In particular, the search history is clustered and each cluster is assigned a score for SHX. In essence, the proposed SHX is a data-driven method which exploits the search history to perform offspring selection after the offspring generation. Since no additional fitness evaluations are needed, SHX is favorable for the tasks with limited budget or expensive fitness evaluations. We experimentally verify the effectiveness of SHX over 4 benchmark functions. Quantitative results show that our SHX can significantly enhance the performance of RCGA, in terms of accuracy.

en cs.NE
arXiv Open Access 2020
Modernizing the HPC System Software Stack

Benjamin S. Allen, Matthew A. Ezell, Paul Peltz et al.

Through the 1990s, HPC centers at national laboratories, universities, and other large sites designed distributed system architectures and software stacks that enabled extreme-scale computing. By the 2010s, these centers were eclipsed by the scale of web-scale and cloud computing architectures, and today even upcoming exascale HPC systems are magnitudes of scale smaller than those of datacenters employed by large web companies. Meanwhile, the HPC community has allowed system software designs to stagnate, relying on incremental changes to tried-and-true designs to move between generations of systems. We contend that a modern system software stack that focuses on manageability, scalability, security, and modern methods will benefit the entire HPC community. In this paper, we break down the logical parts of a typical HPC system software stack, look at more modern ways to meet their needs, and make recommendations of future work that would help the community move in that direction.

arXiv Open Access 2020
Hardness of Modern Games

Diogo M. Costa, Alexandre P. Francisco, Luís M. S. Russo

We consider the complexity properties of modern puzzle games, Hexiom, Cut the Rope and Back to Bed. The complexity of games plays an important role in the type of experience they provide to players. Back to Bed is shown to be PSPACE-Hard and the first two are shown to be NP-Hard. These results give further insight into the structure of these games and the resulting constructions may be useful in further complexity studies.

en cs.CC, cs.GT
S2 Open Access 2019
Heroes of Their Own Life Stories: Narrating the Female Self in the Feminist Age

L. Abrams

ABSTRACT This article proposes a triple legacy of the expressive culture of the 1960s and 70s. Late twentieth century feminism, discourses of gender equality and the advent of modern confessional culture liberated women’s women’s voices, producing self-realising narratives and a shift in women’s facility to produce authentic ‘reflexive projects of the self’. Drawing on oral history interviews with women born in the 1940s in the United Kingdom, Australia and North America, a new concept for a distinct genre of women’s oral history narrative is advanced– the feminography – in which we hear women owning their voices and the stories those voices tell.

17 sitasi en Sociology

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