Hasil untuk "History (General)"

L. A. Pratt, D. Ford, R. Crum et al.

Richard de Grijs

In the nineteenth century, the Dutch established time signals in their Atlantic colonies to synchronise maritime navigation with European standards. In Paramaribo (Suriname), a sophisticated sequence of apparatus -- including time balls, noon guns, discs and flags -- operated from 1851 until World War I. Naval officers aboard guard ships used sextants equipped with artificial horizons to determine local noon, thus integrating the colony into the global Greenwich-based cartographic system. This infrastructure was not merely technical; it became a civic ritual, with the daily noon gun structuring urban life and becoming a point of political negotiation between naval commanders and the colonial governor. In contrast, the Dutch Caribbean islands employed simpler, pragmatic systems. Curaçao used a daily time flag, a cost-effective solution suited to its climate and harbour scale, while smaller islands like Aruba and St. Eustatius relied on occasional noon guns. This diversity reflected a decentralised colonial administration that adapted technologies to local conditions and budgets. The history of these time signals reveals a process of hybrid adaptation, not simply replication of European models. They were shaped by environmental challenges, fiscal constraints and local politics, functioning simultaneously as navigational aids and civic landmarks. Their eventual decline, owing to budgetary pressures and new technologies like wireless telegraphy, underscores the fragile and negotiated nature of colonial scientific infrastructures.

Banafsheh Karimian, Alexis Guichemerre, Soufiane Belharbi et al.

Breast cancer remains a leading cause of cancer-related mortality worldwide. Longitudinal mammography risk prediction models improve multi-year breast cancer risk prediction based on prior screening exams. However, in real-world clinical practice, longitudinal histories are often incomplete, irregular, or unavailable due to missed screenings, first-time examinations, heterogeneous acquisition schedules, or archival constraints. The absence of prior exams degrades the performance of longitudinal risk models and limits their practical applicability. While substantial longitudinal history is available during training, prior exams are commonly absent at test time. In this paper, we address missing history at inference time and propose a longitudinal risk prediction method that uses mammography history as privileged information during training and distills its prognostic value into a student model that only requires the current exam at inference time. The key idea is a privileged multi-teacher distillation scheme with horizon-specific teachers: each teacher is trained on the full longitudinal history to specialize in one prediction horizon, while the student receives only a reconstructed history derived from the current exam. This allows the student to inherit horizon-dependent longitudinal risk cues without requiring prior screening exams at deployment. Our new Privileged History Distillation (PHD) method is validated on a large longitudinal mammography dataset with multi-year cancer outcomes, CSAW-CC, comparing full-history and no-history baselines to their distilled counterparts. Using time-dependent AUC across horizons, our privileged history distillation method markedly improves the performance of long-horizon prediction over no-history models and is comparable to that of full-history models, while using only the current exam at inference time.

Haochen Zhang, Animesh Sinha, Felix Juefei-Xu et al.

Conversational image generation requires a model to follow user instructions across multiple rounds of interaction, grounded in interleaved text and images that accumulate as chat history. While recent multimodal large language models (MLLMs) can generate and edit images, most existing multi-turn benchmarks and training recipes are effectively Markov: the next output depends primarily on the most recent image, enabling shortcut solutions that ignore long-range history. In this work we formalize and target the more challenging non-Markov setting, where a user may refer back to earlier states, undo changes, or reference entities introduced several rounds ago. We present (i) non-Markov multi-round data construction strategies, including rollback-style editing that forces retrieval of earlier visual states and name-based multi-round personalization that binds names to appearances across rounds; (ii) a history-conditioned training and inference framework with token-level caching to prevent multi-round identity drift; and (iii) enabling improvements for high-fidelity image reconstruction and editable personalization, including a reconstruction-based DiT detokenizer and a multi-stage fine-tuning curriculum. We demonstrate that explicitly training for non-Markov interactions yields substantial improvements in multi-round consistency and instruction compliance, while maintaining strong single-round editing and personalization.

Hong Zheng, Zhouyang Ye, Xinyi Bai et al.

Abstract In the digital education era, artificial intelligence has developed rapidly in education in China, and hybrid teaching models have become popular. This study aims to explore whether college students’ enjoyment in online classes influences their learning interest and achievement of learning goals, and to examine the moderating role of teacher-student interaction in the realization of learning goals. We conducted an online questionnaire survey of 1736 college students in China to explore the relationships among enjoyment, learning interest, teacher-student interaction, and the achievement of learning goals of online classes. All statistical analyses were performed using SPSS 25.0 and Mplus 8.0. These findings show that college students’ enjoyment influences the achievement of learning goals through the mediating role of learning interest in online classes. The high level of teacher–student interaction is conducive to the transformation of students’ enjoyment into learning interest and the achievement of learning goals. Our study is expected to serve as an important reference for increasing students’ learning interest and achieving their learning goals in online classes.

Yu Shi, Hao Li, Bram Adams et al.

Automated program repair (APR) has recently shifted toward large language models and agent-based systems, yet most systems rely on local snapshot context, overlooking repository history. Prior work shows that repository history helps repair single-line bugs, since the last commit touching the buggy line is often the bug-introducing one. In this paper, we investigate whether repository history can also improve agentic APR systems at scale, especially for complex multi-hunk bugs. We present HAFixAgent, a History-Aware Bug-Fixing Agent that injects blame-derived repository heuristics into its repair loop. A preliminary study on 854 Defects4J (Java) and 501 BugsInPy (Python) bugs motivates our design, showing that bug-relevant history is widely available across both benchmarks. Using the same LLM (DeepSeek-V3.2-Exp) for all experiments, including replicated baselines, we show: (1) Effectiveness: HAFixAgent outperforms RepairAgent (+56.6\%) and BIRCH-feedback (+47.1\%) on Defects4J. Historical context further improves repair by +4.4\% on Defects4J and +38.6\% on BugsInPy, especially on single-file multi-hunk (SFMH) bugs. (2) Robustness: under noisy fault localization (+1/+3/+5 line shifts), history provides increasing resilience, maintaining 40 to 56\% success on SFMH bugs where the non-history baseline collapses to 0\%. (3) Efficiency: history does not significantly increase agent steps or token costs on either benchmark.

Lvmin Zhang, Shengqu Cai, Muyang Li et al.

Autoregressive video generation relies on history context for content consistency and storytelling. As video histories grow longer, efficiently encoding them remains an open problem - particularly for personal users and local workflows where compute and memory budgets are limited. We present a lightweight history encoder that maps long video histories into short-length embeddings, pretrained with a frame query objective that learns to attend to content features at arbitrary temporal positions. The pretraining stage provides the encoder with dense history coverage on large-scale video data; the subsequent finetuning stage adapts the pretrained encoder under an autoregressive video generation objective to establish content-level consistency. In this way, the lightweight embeddings achieve comparable performance to heavier alternatives. We evaluate the framework with ablative settings and discuss the architecture designs.

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.

Sarah Louise Cowan

Modernist propositions long have been understood as atemporal—somehow outside of time—or insistently hailing the future. This temporal framework suppresses the contributions of those excluded from modernist canons, particularly Black women. In this article, visual and material analysis of sculptural works produced in the 1970s and 1980s by U.S. Black women artists Beverly Buchanan, Senga Nengudi, and Betye Saar reveal how Black feminists have engaged with modernist protocols in order to redress cultural erasures of Black women. These practices exemplify <i>Black feminist modernisms</i>, or creative practices that unsettle the racist and sexist logics of dominant cultural institutions. Each of these artists utilizes haptic surfaces as a method for defying institutional modernism’s obfuscation of the past. The analysis focuses on Buchanan’s defiance of memorial erasures, Nengudi’s reenactment of labor, including in its historical forms, and Saar’s adaptation of generational memory-making processes. Ultimately, these artists’ rejection of a “timeless” modernism demands that viewers understand the present moment in relationship to a still-evolving past. In this way, Buchanan, Nengudi, and Saar position the present as an accumulation, rather than transcendence, of historical occurrences.

Dimitrios Psaltis

The Kerr-Newman metric is the unique vacuum solution of the General Relativistic field equations, in which any singularities or spacetime pathologies are hidden behind horizons. They are believed to describe the spacetimes of massive astrophysical objects with no surfaces, which we call black holes. This spacetime, which is defined entirely by the mass, spin, and charge of the black hole, gives rise to a variety of phenomena in the motion of particles and photons outside the horizons that have no Newtonian counterparts. Moreover, the Kerr-Newman spacetime remains remarkably resilient to many attempts in modifying the underlying theory of gravity. The monitoring of stellar orbits around supermassive black holes, the detection of gravitational waves from the coalescence of stellar-mass black holes, and the observation of black-hole shadows in images with horizon-scale resolution, all of which have become possible during the last decade, are offering valuable tools in testing quantitatively the predictions of this remarkable solution to Einstein's equations.

Sylvia Wenmackers

Problems with uniform probabilities on an infinite support show up in contemporary cosmology. This paper focuses on the context of inflation theory, where it complicates the assignment of a probability measure over pocket universes. The measure problem in cosmology, whereby it seems impossible to pick out a uniquely well-motivated measure, is associated with a paradox that occurs in standard probability theory and crucially involves uniformity on an infinite sample space. This problem has been discussed by physicists, albeit without reference to earlier work on this topic. The aim of this article is both to introduce philosophers of probability to these recent discussions in cosmology and to familiarize physicists and philosophers working on cosmology with relevant foundational work by Kolmogorov, de Finetti, Jaynes, and other probabilists. As such, the main goal is not to solve the measure problem, but to clarify the exact origin of some of the current obstacles. The analysis of the assumptions going into the paradox indicates that there exist multiple ways of dealing consistently with uniform probabilities on infinite sample spaces. Taking a pluralist stance towards the mathematical methods used in cosmology shows there is some room for progress with assigning probabilities in cosmological theories.

Jacobo Lopez Felipe

El presente artículo plantea un recorrido sobre cómo se ha abordado e investigado el auge y consolidación de vox, la formación de extrema derecha que desde 2018 ha penetrado en las instituciones del Estado jugando un papel destacado en la agenda política de los distintos niveles de gobierno. En este sentido, se ponen de relieve las publicaciones más importantes tanto de académicos como de personajes públicos que se han aproximado a este fenómeno, con dispares niveles de rigurosidad, contribuyendo al conocimiento colectivo sobre las causas y la naturaleza del éxito relámpago de la formación de Santiago Abascal.

Yurii Fihurnyi

Sina Yarmoradian, Mehrdad Shahraki, Sadra Amirpour Haradasht

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D. Costantini

Lauren Greenspan

Based on string theory's framework, the gauge/gravity duality, also known as holography, has the ability to solve practical problems in low energy physical systems like metals and fluids. Holographic applications open a path for conversation and collaboration between the theory-driven, high energy culture of string theory and fields like nuclear and condensed matter physics, which in contrast place great emphasis on the empirical evidence that experiment provides. This paper takes a look at holography's history, from its roots in string theory to its present-day applications that are challenging the cultural identity of the field. I will focus on two of these applications: holographic QCD and holographic superconductivity, highlighting some of the (often incompatible) historical influences, motives, and epistemic values at play, as well as the subcultural shifts that help the collaborations work. The extent to which holographic research -- arguably string theory's most successful and prolific area -- must change its subcultural identity in order to function in fields outside of string theory reflects its changing nature and the field's uncertain future. Does string theory lose its identity in the low-energy applications that holography provides? Does holography still belong under string theory's umbrella, or is it destined to form new subcultures with each of its fields of application? I find that the answers to these questions are dynamic, interconnected, and highly dependent on string theory's relationship with its field of application. In some cases, holography can maintain the goals and values it inherited from string theory. In others, it instead adopts the goals and values of the field in which it is applied. These examples highlight a need for the STS community to expand its treatment of string theory beyond its relationship with empiricism and role as a theory of quantum gravity.

John Chisholm General

E. Charnov, W. M. Schaffer

John E. Semonche, L. Friedman

This book is a general history of the legal system of the United States, beginning in the colonial period, and continuing up to the present. The work was originally published in 1973; this is the fourth edition, which brings the material up to date and incorporates recent research. The book covers the changing configurations of commercial law, criminal law, and family law, and the law of property; lays great stress on race relations, especially black-white relations; it deals also with the legal profession and legal education. The approach throughout is geared toward an intelligent lay audience. Legal jargon is avoided. The underlying theory of the book is that law is the product of society, so that what is attempted, in essence, is a more or less sociological history of the legal system, as it evolved over the years.