Hasil untuk "History of Great Britain"

T. Piketty

I am most grateful to the editors of the British Journal of Sociology for putting together such an impressive set of review papers about my book. I am very honoured by the very thoughtful essays written by such a distinguished group of scholars coming from sociology, political science, anthropology, history, geography and economics. I warmly thank all participants for their time and attention to my work. I would like to view my book more as work of social science than one of economics or history. It seems to me that we often loose a lot of time in the social sciences because of little disputes about disciplinary boundaries. I could not dream of a better recognition for my work than the stimulating collection of interdisciplinary essays that the British Journal of Sociology is now publishing. I am very fortunate to have so many great readers. There is no way I can do justice to the richness of each review and address the many stimulating points that they raise. I would like however to take this opportunity to briefly clarify a number of issues.

A. Lovejoy

Mariana Teixeira Marques-Pujol

This paper examines the tension between ambition and failure in the trajectories of the female protagonists in three George Eliot novels—Hetty Sorrel in Adam Bede (1859), Dorothea Brooke in Middlemarch (1871-72), and Gwendolyn Harleth in Daniel Deronda (1876). Building on Franco Moretti’s notion of a ‘distinct female Bildungsroman’, I argue that these characters’ development follows a similar three-step structure as they navigate the constraints of gender, class, and socioeconomic status. The dialectical interplay between ambition and coercion sustains the narratives on the brink of possibility and impossibility, while Eliot’s narrative choices challenge traditional forms of the Bildungsroman, offering a critique of the genre as it applies to women.

Cheng'an Wei, Yue Zhao, Yujia Gong et al.

Large Language Models (LLMs) such as ChatGPT and Llama have become prevalent in real-world applications, exhibiting impressive text generation performance. LLMs are fundamentally developed from a scenario where the input data remains static and unstructured. To behave interactively, LLM-based chat systems must integrate prior chat history as context into their inputs, following a pre-defined structure. However, LLMs cannot separate user inputs from context, enabling chat history tampering. This paper introduces a systematic methodology to inject user-supplied history into LLM conversations without any prior knowledge of the target model. The key is to utilize prompt templates that can well organize the messages to be injected, leading the target LLM to interpret them as genuine chat history. To automatically search for effective templates in a WebUI black-box setting, we propose the LLM-Guided Genetic Algorithm (LLMGA) that leverages an LLM to generate and iteratively optimize the templates. We apply the proposed method to popular real-world LLMs including ChatGPT and Llama-2/3. The results show that chat history tampering can enhance the malleability of the model's behavior over time and greatly influence the model output. For example, it can improve the success rate of disallowed response elicitation up to 97% on ChatGPT. Our findings provide insights into the challenges associated with the real-world deployment of interactive LLMs.

Lars Hertel, Neil Daftary, Fedor Borisyuk et al.

We study user history modeling via Transformer encoders in deep learning recommendation models (DLRM). Such architectures can significantly improve recommendation quality, but usually incur high latency cost necessitating infrastructure upgrades or very small Transformer models. An important part of user history modeling is early fusion of the candidate item and various methods have been studied. We revisit early fusion and compare concatenation of the candidate to each history item against appending it to the end of the list as a separate item. Using the latter method, allows us to reformulate the recently proposed amortized history inference algorithm M-FALCON \cite{zhai2024actions} for the case of DLRM models. We show via experimental results that appending with cross-attention performs on par with concatenation and that amortization significantly reduces inference costs. We conclude with results from deploying this model on the LinkedIn Feed and Ads surfaces, where amortization reduces latency by 30\% compared to non-amortized inference.

Attila Lischka, Filip Rydin, Jiaming Wu et al.

In the last years, an increasing number of learning-based approaches have been proposed to tackle combinatorial optimization problems such as routing problems. Many of these approaches are based on graph neural networks (GNNs) or related transformers, operating on the Euclidean coordinates representing the routing problems. However, such models are ill-suited for a wide range of real-world problems that feature non-Euclidean and asymmetric edge costs. To overcome this limitation, we propose a novel GNN-based and edge-focused neural model called Graph Edge Attention Network (GREAT). Using GREAT as an encoder to capture the properties of a routing problem instance, we build a reinforcement learning framework which we apply to both Euclidean and non-Euclidean variants of vehicle routing problems such as Traveling Salesman Problem, Capacitated Vehicle Routing Problem and Orienteering Problem. Our framework is among the first to tackle non-Euclidean variants of these problems and achieves competitive results among learning-based benchmarks.

C. Smeaton, C. Ladd, Lucy C. Miller et al.

Coastal wetlands, such as saltmarshes, are globally widespread and highly effective at capturing and storing ‘blue carbon’ and have the potential to regulate climate over varying timescales. Yet only Australia and the United States of America have national inventories of organic carbon held within saltmarsh habitats, hindering the development of policies and management strategies to protect and preserve these organic carbon stores. Here we couple a new observational dataset with 4,797 samples from 26 saltmarshes across Great Britain to spatially model organic carbon stored in the soil and the above and belowground biomass of Great British saltmarshes. Using average values derived from the 26 marshes, we deliver first-order estimates of organic carbon stocks across Great Britain’s 448 saltmarshes (451.66 km2). The saltmarshes of Great Britain contain 5.20 ± 0.65 Mt of organic carbon, 93% of which is in the soil. On average, the saltmarshes store 11.55 ± 1.56 kg C m-2 with values ranging between 2.24 kg C m-2 and 40.51 kg C m-2 depending on interlinked factors such as geomorphology, organic carbon source, sediment type (mud vs sand), sediment supply, and relative sea level history. These findings affirm that saltmarshes represent the largest intertidal blue carbon store in Great Britain, yet remain an unaccounted for component of the United Kingdom’s natural carbon stores.

Harry Tattan-Birch, S. Jackson, M. Dockrell et al.

Abstract Introduction Tobacco-free nicotine pouches are products that are placed between the lip and gum, where they deliver nicotine to users. Little is known about nicotine pouch use in Great Britain since they entered the market in 2019. Methods Data came from a monthly representative survey of the adult (≥18 years) population in Great Britain (England, Scotland, and Wales) between November 2020 and October 2021 (n = 25 698). We estimated the weighted prevalence of pouch use, overall and stratified by demographics, smoking status, and other nicotine use. Results Nicotine pouch use was rare among adults, with a weighted prevalence of just 0.26% (95% compatibility interval [CI] = 0.19–0.35). Prevalence doubled from November 2020 to October 2021 (0.14%–0.32%; prevalence ratio [PR] = 2.22, 95% CI = 1.33–3.70). Pouch use was over four times more common among men than women (0.42% vs. 0.09%; PR = 4.55, 95% CI = 2.27–9.09) but less common in older age groups (p 1 year) former smokers (0.24%; PR = 3.71, 95% CI = 1.36–10.15), compared with never smokers (0.06%). Prevalence was also elevated among e-cigarette (1.64% vs. 0.15%; PR = 10.59, 95% CI = 5.74–19.52) and nicotine replacement therapy users (2.02% vs. 0.21%; PR = 9.75, 95% CI = 4.64–20.49). Conclusions One in 400 adults in Great Britain use nicotine pouches, but the prevalence increased from 2020 to 2021. Implications Tobacco-free nicotine pouches were introduced to the market in Great Britain in 2019. We found that while pouch use is currently rare in Great Britain, these products have become more popular over time. Pouch use is largely concentrated among younger and middle-aged men who use other nicotine products and have a history of smoking. Continued monitoring of nicotine pouch use is needed.

Róisín Quinn-Lautrefin

Relying on an unusual stitched text made by a young servant in the 1830s, this essay sets out to explore the Victorian sampler as a didactic tool designed to inculcate desirable behaviour as well as literacy and numeracy in young girls. Often viewed as repetitive exercises designed to enforce social norms of femininity, however, samplers could paradoxically prove to be spaces for girls to express their individualities and subjectivities.

Vijeth Hebbar, Cedric Langbort

In many online sequential decision-making scenarios, a learner's choices affect not just their current costs but also the future ones. In this work, we look at one particular case of such a situation where the costs depend on the time average of past decisions over a history horizon. We first recast this problem with history dependent costs as a problem of decision making under stage-wise constraints. To tackle this, we then propose the novel Follow-The-Adaptively-Regularized-Leader (FTARL) algorithm. Our innovative algorithm incorporates adaptive regularizers that depend explicitly on past decisions, allowing us to enforce stage-wise constraints while simultaneously enabling us to establish tight regret bounds. We also discuss the implications of the length of history horizon on design of no-regret algorithms for our problem and present impossibility results when it is the full learning horizon.

L. Klimek, N. Novak, E. Hamelmann et al.

Two employees of the National Health Service (NHS) in England developed severe allergic reactions following administration of BNT162b2 vaccine against COVID-19 (coronavirus disease 2019). The British SmPC for the BNT162b2 vaccine already includes reference to a contraindication for use in individuals who have had an allergic reaction to the vaccine or any of its components. As a precautionary measure, the Medicines and Healthcare products Regulatory Agency (MHRA) has issued interim guidance to the NHS not to vaccinate in principle in “patients with severe allergies”. Allergic reactions to vaccines are very rare, but vaccine components are known to cause allergic reactions. BNT162b2 is a vaccine based on an mRNA embedded in lipid nanoparticles and blended with other substances to enable its transport into the cells. In the pivotal phase III clinical trial, the BNT162b2 vaccine was generally well tolerated, but this large clinical trial, used to support vaccine approval by the MHRA and US Food and Drug Administration, excluded individuals with a “history of a severe adverse reaction related to the vaccine and/or a severe allergic reaction (e.g., anaphylaxis) to a component of the study medication”. Vaccines are recognized as one of the most effective public health interventions. This repeated administration of a foreign protein (antigen) necessitates a careful allergological history before each application and diagnostic clarification and a risk–benefit assessment before each injection. Severe allergic reactions to vaccines are rare but can be life-threatening, and it is prudent to raise awareness of this hazard among vaccination teams and to take adequate precautions while more experience is gained with this new vaccine.

I. I. Fedyukin, A. D. Novikova

The article examines the correspondence of the Hanoverian resident in Russia Friedrich Christian Weber over the period from January 1718 to the spring of 1720. The set of letters includes over two hundred reports written by the diplomate in French and currently deposited in the French Manuscripts collection of the Bodleian Library of the University of Oxford. The goal of this article is to present this source to the scholarly audience and to offer its preliminary analysis. Although Weber was formally a Hanoverian resident, he represented the interests of England, because the Elector of Hanover, since 1714, was also the monarch of Great Britain. The addressee of Weber’s letters was John Robethon, George I's diplomatic secretary. The article examines various aspects of Weber's diplomatic activities, including the methods he used to collect information in Russia and send it to England, such as bribing Russian officials, resorting to secret agents, ciphers, sending dispatches “under the cover, and others. The letters also reflect the tasks set before him by his government, first of all, investigating the nature of relations between the Russian court and the Jacobites and monitoring the progress of the Congress of Åland, including the views of the Russian and Swedish courts regarding the prospects of a separate peace treaty between them. The article also considers Weber’s approach to the analysis of the international situation and the political situation in Russia. He concluded that a separate treaty between Russia and Sweden was highly unlikely and sought to convey this to his addressee. In spite of this the British government continued to view the ongoing negotiations at Åland as a threat. Beginning in May 1718, the Court of St. James repeatedly instructed Weber to find ways to disrupt Congress. The set of letters shed light on the history of Russian foreign policy at the final stage of the Great Northern War on the eve of the conclusion of the Peace of Nystad.

Jatin Ganhotra, Samuel Thomas, Hong-Kwang J. Kuo et al.

End-to-end spoken language understanding (SLU) systems that process human-human or human-computer interactions are often context independent and process each turn of a conversation independently. Spoken conversations on the other hand, are very much context dependent, and dialog history contains useful information that can improve the processing of each conversational turn. In this paper, we investigate the importance of dialog history and how it can be effectively integrated into end-to-end SLU systems. While processing a spoken utterance, our proposed RNN transducer (RNN-T) based SLU model has access to its dialog history in the form of decoded transcripts and SLU labels of previous turns. We encode the dialog history as BERT embeddings, and use them as an additional input to the SLU model along with the speech features for the current utterance. We evaluate our approach on a recently released spoken dialog data set, the HarperValleyBank corpus. We observe significant improvements: 8% for dialog action and 30% for caller intent recognition tasks, in comparison to a competitive context independent end-to-end baseline system.

Tetsuya Hara, Anna Suzuki

We have investigated the possible evolutional history of the water ocean on Venus, adopting the one dimensional radiative-convective model,including the parameters as albedo and relative humidity. Under this model, it has the possibility that the habitable zone could include Venus. It could continue for $\sim 1$ Gy in faint young solar flux increasing, with modest parameters such as albedo = 0.3, relative humidity (RH=1), and $p_{n0}=10^5 $Pa. If we relax parameters considering the 3-Dimensional calculations, the ocean could exist there longer than $\sim$ 4.6 Gy. In such cases, we have to consider the cause of runaway other than just solar luminosity increasing. It is important to investigate Venus history for the coming future of Earth and observations of exoplanets for their historical habitable zones.

Nadejda Drenska, Jeff Calder

We study the problem of prediction of binary sequences with expert advice in the online setting, which is a classic example of online machine learning. We interpret the binary sequence as the price history of a stock, and view the predictor as an investor, which converts the problem into a stock prediction problem. In this framework, an investor, who predicts the daily movements of a stock, and an adversarial market, who controls the stock, play against each other over $N$ turns. The investor combines the predictions of $n\geq 2$ experts in order to make a decision about how much to invest at each turn, and aims to minimize their regret with respect to the best-performing expert at the end of the game. We consider the problem with history-dependent experts, in which each expert uses the previous $d$ days of history of the market in making their predictions. We prove that the value function for this game, rescaled appropriately, converges as $N\to \infty$ at a rate of $O(N^{-1/6})$ to the viscosity solution of a nonlinear degenerate elliptic PDE, which can be understood as the Hamilton-Jacobi-Issacs equation for the two-person game. As a result, we are able to deduce asymptotically optimal strategies for the investor. Our results extend those established by the first author and R.V.Kohn [13] for $n=2$ experts and $d\leq 4$ days of history. To appear in Communications on Pure and Applied Mathematics.

M. Celeste Artale, Susana E. Pedrosa, Patricia B. Tissera et al.

Aims: It is well known that the presence of baryons affects the dark matter host haloes. Exploring the galaxy assembly history together with the dark matter haloes properties through time can provide a way to measure these effects. Methods: We study the properties of four Milky Way mass dark matter haloes from the Aquarius project during their assembly history, between $z = 0 - 4$. In this work, we use the SPH run from Scannapieco et al. (2009) and the dark matter only counterpart as case studies. To asses the robustness of our findings, we compare them with one of the haloes run using a moving-mesh technique and different sub-grid scheme. Results: Our results show that the cosmic evolution of the dark matter halo profiles depends on the assembly history of the baryons. We find that the dark matter profiles do not significantly change with time, hence they become stable, when the fraction of baryons accumulated in the central regions reaches 80 percent of its present mass within the virial radius. Furthermore, the mass accretion history shows that the haloes that assembled earlier are those that contain a larger amount of baryonic mass aforetime, which in turn allows the dark matter halo profiles to reach a stable configuration earlier. For the SPH haloes, we find that the specific angular momentum of the dark matter particles within the five percent of the virial radius at z = 0, remains approximately constant from the time at which 60 percent of the stellar mass is gathered. We explore different theoretical and empirical models for the contraction of the haloes through redshift. A model to better describe the contraction of the haloes through redshift evolution must depend on the stellar mass content in the inner regions.

Yiheng Zhou, Yulia Tsvetkov, Alan W Black et al.

We study non-collaborative dialogs, where two agents have a conflict of interest but must strategically communicate to reach an agreement (e.g., negotiation). This setting poses new challenges for modeling dialog history because the dialog's outcome relies not only on the semantic intent, but also on tactics that convey the intent. We propose to model both semantic and tactic history using finite state transducers (FSTs). Unlike RNN, FSTs can explicitly represent dialog history through all the states traversed, facilitating interpretability of dialog structure. We train FSTs on a set of strategies and tactics used in negotiation dialogs. The trained FSTs show plausible tactic structure and can be generalized to other non-collaborative domains (e.g., persuasion). We evaluate the FSTs by incorporating them in an automated negotiating system that attempts to sell products and a persuasion system that persuades people to donate to a charity. Experiments show that explicitly modeling both semantic and tactic history is an effective way to improve both dialog policy planning and generation performance.

M. Hurst, D. Rood, M. Ellis et al.

Szaniawska Lucyna

The paper discusses selected maps of rock strata which exemplify the evolution stages of presentation methods of cartographic data concerning the geological structure of selected countries (France, Great Britain and Germany) which in the first half of the nineteenth century constituted the leaders of the field. The results of geologists’ work are used to present the content of maps, provide explanations and showcase the methods and techniques chosen by the maps’ creators. The analysed maps are accompanied by geological writings which contain descriptions of the chronological order within rock formations and strata defined on the basis of fossils, methods of recreating the geological history of individual regions, and attempts of compiling the acquired knowledge and using it to describe larger areas. The author discusses also two maps of Europe published in the mid-nineteenth century, which are the result of cooperation and research achievements of geologists from different countries.

A. McMunn, R. Lacey, Diana Worts et al.

This study addresses the question of de-standardized life courses from a gender perspective. Multi-channel sequence analysis is used to characterise the domains of work, partnership and parenthood in combination across the adult life courses of three birth cohorts of British men and women between the ages of 16 and 42. Three research questions are addressed. First, we examine whether there is evidence of increasing between-person de-standardization (diversity) and within-person differentiation (complexity) in work and family life courses across cohorts during the main childrearing years. Second, we investigate whether men's and women's work–family life courses are converging over time. Finally, we assess the link between educational attainment and work–family life courses across cohorts. Data are from the MRC National Survey of Health and Development 1946 birth cohort (n = 3012), the National Child Development Study 1958 birth cohort (n = 9616), and the British Cohort Study 1970 birth cohort (n = 8158). We apply multi-channel sequence analysis to group individuals into twelve conceptually-based work–family life course types. We find evidence of growing between-person diversity, across cohorts, for both women and men. In addition, partnership trajectories are growing more complex for both genders, while parental biographies and women's work histories are becoming less so. Women's and men's work–family life courses are becoming increasingly similar as more women engage in continuous full-time employment; however, life courses involving part-time employment or a career break remain common for women in the most recent cohort. Continuous, full-time employment combined with minimal family ties up to age 42 emerged as the most common pattern for women and the second most common for men in the 1970 cohort.