Michael A. Bender, William Kuszmaul, Elaine Shi
et al.
We give a (strongly) history-independent two-choice balls-and-bins algorithm on $n$ bins that supports both insertions and deletions on a set of up to $m$ balls, while guaranteeing a maximum load of $m / n + O(1)$ with high probability, and achieving an expected recourse of $O(\log \log (m/n))$ per operation. To the best of our knowledge, this is the first history-independent solution to achieve nontrivial guarantees of any sort for $m/n \ge ω(1)$ and is the first fully dynamic solution (history independent or not) to achieve $O(1)$ overload with $o(m/n)$ expected recourse.
BackgroundLocalized Scleroderma (LoS), particularly aggressive subtypes such as Deep Morphea (morphea profunda), is a rare chronic autoimmune fibrosing disorder that can extend into the subcutaneous tissue, fascia, and muscle. These deep forms carry a high risk of functional impairment. Tocilizumab (TCZ), an anti-interleukin-6 (IL-6) receptor antibody, has emerged as a promising therapy for severe, refractory cases. However, its reported use typically follows the failure of standard immunosuppressive agents like methotrexate (MTX).Case presentationWe report the case of a 19-year-old male with a rapidly progressive deep morphea of the left lower extremity, with only a two-month history from onset. Initial symptoms included skin hardening, hyperpigmentation, and mild restriction of foot motion. Skin biopsy confirmed deep morphea, showing lymphoplasmacytic inflammation and eosinophilic fibrosis extending into the subcutaneous septa and muscle interstitium. Pre-treatment magnetic resonance imaging (MRI) revealed prominent edema (high T2 signal) in the subcutaneous fat and blurred muscle fascial planes, consistent with active deep inflammation. Uniquely, the patient was seropositive for multiple antiphospholipid antibodies (aPLs), including Lupus Anticoagulant (dRVVT ratio 1.34), anti-phosphatidylserine/prothrombin IgM (143.72 U), β2-glycoprotein I IgM (30.9 CU), and anticardiolipin IgM (28.2 CU). Given the rapid progression and deep tissue involvement, an early intensified combination regimen of TCZ (640 mg IV every 4 weeks), MTX (12.5 mg weekly), high-dose corticosteroids (IV pulses followed by 30 mg/day oral prednisone taper), and prophylactic aspirin (100 mg daily) was initiated. Follow-up MRI at six months showed a marked reduction in the deep tissue edema, correlating with significant clinical improvement in skin induration and tightening by nine months post-treatment. No serious adverse events were observed during follow-up.ConclusionThis case demonstrates the successful outcome of early TCZ-based combination therapy in rapidly controlling the aggressive inflammatory process of an adult deep morphea. The objective radiological response validates this early intervention strategy, which deviates from the typical second-line use of TCZ. Furthermore, the case highlights a rare but clinically important overlap between severe localized scleroderma and multiple aPL seropositivity.
Time-delay embedding is a technique that uses snapshots of state history over time to build a linear state space model of a nonlinear smooth system. We demonstrate that periodic non-smooth or hybrid system can also be modeled as a linear state space system using this approach as long as its behavior is consistent in modes and timings. We extend time-delay embeddings to generate a linear model of two periodic hybrid systems: the bouncing pendulum and the simplest walker with control inputs. This leads to a state history augmented linear quadratic regulator (LQR) which uses current and past state history for feedback control. Example code can be found at https://github.com/Chun-MingYang/koopman-timeDelay-lqr.git
As artificial intelligence (AI) enters the agentic era, large language models (LLMs) are increasingly deployed as autonomous agents that interact with one another rather than operate in isolation. This shift raises a fundamental question: how do machine agents behave in interdependent environments where outcomes depend not only on their own choices but also on the coordinated expectations of peers? To address this question, we study LLM agents in a canonical network-effect game, where economic theory predicts convergence to a fulfilled expectation equilibrium (FEE). We design an experimental framework in which 50 heterogeneous GPT-5-based agents repeatedly interact under systematically varied network-effect strengths, price trajectories, and decision-history lengths. The results reveal that LLM agents systematically diverge from FEE: they underestimate participation at low prices, overestimate at high prices, and sustain persistent dispersion. Crucially, the way history is structured emerges as a design lever. Simple monotonic histories-where past outcomes follow a steady upward or downward trend-help stabilize coordination, whereas nonmonotonic histories amplify divergence and path dependence. Regression analyses at the individual level further show that price is the dominant driver of deviation, history moderates this effect, and network effects amplify contextual distortions. Together, these findings advance machine behavior research by providing the first systematic evidence on multi-agent AI systems under network effects and offer guidance for configuring such systems in practice.
Abstract This article analyzes the divergence between China’s Personal Information Protection Law (PIPL) and the EU’s General Data Protection Regulation (GDPR), despite their textual similarities. It argues that China’s approach to data protection is shaped by distinct domestic understandings of “risk,” rooted in past legislation, judicial practices, and social concerns. Using focal point theory, the authors identify three key dimensions of risk in China: large-scale participation, economic loss, and threats from third parties. These focal points explain why China’s risk-based approach prioritizes different enforcement goals than the GDPR. The article also shows how these differences manifest in several areas, including the definition of personal information, the regulation of automated decision-making, and the design of enforcement authorities. Ultimately, the article challenges the assumption that legal diffusion through the “Brussels Effect” leads to uniform global standards. Instead, it highlights how domestic cultural and institutional factors reshape transplanted laws, creating seemingly performative enforcement that reflects localized regulatory logics.
History of scholarship and learning. The humanities, Social Sciences
This article describes popular game titles used in history education in Poland. In the first part, games designed by the Institute of National Remembrance (IPN) are presented, along with examples of their use and feedback expressed after playing by students. The second part of the article discusses the global bestselling game Twilight Struggle along with a case study of its use with history students. The purpose of the article is to point out the possibilities of gamification of historical education and, above all, to indicate the applications of board games in the academic training of teachers who later create school reality with their work.
This study explored how lifestyle, personal background, and family history contribute to the risk of developing Alcohol Use Disorder (AUD). Survey data from the All of Us Program was utilized to extract information on AUD status, lifestyle, personal background, and family history for 6,016 participants. Key determinants of AUD were identified using decision trees including annual income, recreational drug use, length of residence, sex/gender, marital status, education level, and family history of AUD. Data visualization and Chi-Square Tests of Independence were then used to assess associations between identified factors and AUD. Afterwards, machine learning techniques including decision trees, random forests, and Naive Bayes were applied to predict an individual's likelihood of developing AUD. Random forests were found to achieve the highest accuracy (82%), compared to Decision Trees and Naive Bayes. Findings from this study can offer insights that help parents, healthcare professionals, and educators develop strategies to reduce AUD risk, enabling early intervention and targeted prevention efforts.
Conversational search facilitates complex information retrieval by enabling multi-turn interactions between users and the system. Supporting such interactions requires a comprehensive understanding of the conversational inputs to formulate a good search query based on historical information. In particular, the search query should include the relevant information from the previous conversation turns. However, current approaches for conversational dense retrieval primarily rely on fine-tuning a pre-trained ad-hoc retriever using the whole conversational search session, which can be lengthy and noisy. Moreover, existing approaches are limited by the amount of manual supervision signals in the existing datasets. To address the aforementioned issues, we propose a History-Aware Conversational Dense Retrieval (HAConvDR) system, which incorporates two ideas: context-denoised query reformulation and automatic mining of supervision signals based on the actual impact of historical turns. Experiments on two public conversational search datasets demonstrate the improved history modeling capability of HAConvDR, in particular for long conversations with topic shifts.
This paper aims to examine the literary strategies and political perspectives of Somnuek Chusil, a renowned Nora artist in the Southern Thai region. Contrast to recent international and Thai research on Nora dance that focused on the aspect of ritual, social function, and adaptation under the condition of global modernity, the authors’ analysis centers on the noted Nora artist’s lyrical composition, encompassing 40 of lyrics, to understand his political worldview and literary strategy as part of local experience to the changing of Thai society. The findings reveal four language strategies employed by Somnuek—simile, hyperbole, the use of idioms, and incorporation of the Southern Thai dialect. Of particular note is the dialect’s distinctive role in critiquing political figures and instilling a sense of awareness regarding rights, freedom, and democratic citizenship. Despite the diverse interpretations of political concepts in global academia, Somnuek skillfully harnesses various dialects and writing techniques making him being locally competent interlocutor, and ascending to the status of a famous folk artist in southern Thailand.
The metallicity enrichment history (MEH) of a galaxy is determined by its star formation history (SFH) and the gas cycling process. In this paper, we construct a chemical evolution model that is regulated by the SFH of the system. In this SFH-regulated model, the evolution of all other variables, including the MEH, can be determined by the SFH. We test this model on six locally isolated dwarf galaxies covering three dwarf types that were observed by the Local Cosmology from Isolated Dwarfs (LCID) project. The SFHs and MEHs of these LCID galaxies have been measured from the deep color-magnitude diagrams that are down to the main sequence turn-offs stars. With simple assumptions of the star formation law and the mass-dependent outflows, our SFH-regulated model successfully reproduces the MEHs of all six LCID galaxies from their SFHs, with only one free parameter, the wind efficiency $η\sim 1.0$, for all six galaxies. This model provides a physically motivated link that directly connects the SFH and MEH of a galaxy, which will be useful to accommodate into the state-of-the-art stellar population synthesis models to help relieve the nuisance of the heavy degeneracy between the ages and metallicities of the stellar populations.
Pre-training has been adopted in a few of recent works for Vision-and-Language Navigation (VLN). However, previous pre-training methods for VLN either lack the ability to predict future actions or ignore the trajectory contexts, which are essential for a greedy navigation process. In this work, to promote the learning of spatio-temporal visual-textual correspondence as well as the agent's capability of decision making, we propose a novel history-and-order aware pre-training paradigm (HOP) with VLN-specific objectives that exploit the past observations and support future action prediction. Specifically, in addition to the commonly used Masked Language Modeling (MLM) and Trajectory-Instruction Matching (TIM), we design two proxy tasks to model temporal order information: Trajectory Order Modeling (TOM) and Group Order Modeling (GOM). Moreover, our navigation action prediction is also enhanced by introducing the task of Action Prediction with History (APH), which takes into account the history visual perceptions. Extensive experimental results on four downstream VLN tasks (R2R, REVERIE, NDH, RxR) demonstrate the effectiveness of our proposed method compared against several state-of-the-art agents.
Robot navigation in dynamic environments shared with humans is an important but challenging task, which suffers from performance deterioration as the crowd grows. In this paper, multi-subgoal robot navigation approach based on deep reinforcement learning is proposed, which can reason about more comprehensive relationships among all agents (robot and humans). Specifically, the next position point is planned for the robot by introducing history information and interactions in our work. Firstly, based on subgraph network, the history information of all agents is aggregated before encoding interactions through a graph neural network, so as to improve the ability of the robot to anticipate the future scenarios implicitly. Further consideration, in order to reduce the probability of unreliable next position points, the selection module is designed after policy network in the reinforcement learning framework. In addition, the next position point generated from the selection module satisfied the task requirements better than that obtained directly from the policy network. The experiments demonstrate that our approach outperforms state-of-the-art approaches in terms of both success rate and collision rate, especially in crowded human environments.
Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia
et al.
In human environments, robots are expected to accomplish a variety of manipulation tasks given simple natural language instructions. Yet, robotic manipulation is extremely challenging as it requires fine-grained motor control, long-term memory as well as generalization to previously unseen tasks and environments. To address these challenges, we propose a unified transformer-based approach that takes into account multiple inputs. In particular, our transformer architecture integrates (i) natural language instructions and (ii) multi-view scene observations while (iii) keeping track of the full history of observations and actions. Such an approach enables learning dependencies between history and instructions and improves manipulation precision using multiple views. We evaluate our method on the challenging RLBench benchmark and on a real-world robot. Notably, our approach scales to 74 diverse RLBench tasks and outperforms the state of the art. We also address instruction-conditioned tasks and demonstrate excellent generalization to previously unseen variations.
Hanumanth Srikanth Cheruvu, Xin Liu, Jeffrey E Grice
et al.
The dataset represented in this article is referred to by the review article entitled “Topical drug delivery: history, percutaneous absorption, and product development” (MS Roberts et al., 2021) [1]. The dataset contains maximal flux (Jmax), and permeability coefficient (kp) values collated from In Vitro human skin Permeation Test (IVPT) reports published to date for various drugs, xenobiotics, and other solutes applied to human epidermis from aqueous solutions. Also included are each solute's physicochemical properties and the experimental conditions, such as temperature, skin thickness, and skin integrity, under which the data was generated. This database is limited to diluted or saturated aqueous solutions of solutes applied on human epidermal membranes or isolated stratum corneum in large volumes so that there was minimal change in the donor phase concentration. Included in this paper are univariate Quantitative Structure-epidermal Permeability Relationships (QSPR) in which the solute epidermal permeation parameters (kp, and Jmax) are related to potential individual solute physicochemical properties, such as molecular weight (MW), log octanol-water partition coefficient (log P), melting point (MP), hydrogen bonding (acceptor - Ha, donor – Hd), by scatter plots. This data was used in the associated review article to externally validate existing QSPR regression equations used to forecast the kp and Jmax for new therapeutic agents and chemicals. The data may also be useful in developing new QSPRs that may aid in: (1) drug choice and (2) product design for both topical and transdermal delivery, as well as (3) characterizing the potential skin exposure of hazardous substances.
Computer applications to medicine. Medical informatics, Science (General)
After World War II, a hyper-pragmatic paradigm was established in physics in most of the western countries, within which foundations of quantum mechanics were vastly dismissed as pointless speculations. In this paper, we show that in Italy, however, the interest toward quantum foundations was revived at the turn of the 1960s, mainly thanks to the initiative of Franco Selleri, who started criticising the contents and the practice of modern physics (in the context of capitalistic society), and thought that the solution was to be sought in a rethinking of the foundations of the discipline. In 1969, supported by Luis de Broglie himself, Selleri wrote a paper reviving the idea of hidden variables and he successfully proposed to the Italian Physical Society to devote the "Varenna School" of 1970 to quantum foundations. This school's historical pivotal importance is twofold: it gathered some of the most preeminent international physicists working on the foundations of quantum theory; and it provided a first platform for young physicists to express their dissatisfaction towards "scientism". In fact, Selleri's highly politicised views found the favour of a critical mass of young, left-wing physicists, who made of quantum foundations their main topic of research in the 1970s. Although these physicists understood very early the central importance of Bell's theorem, their (ideological) aim was to demonstrate that quantum theory could have limits of validity. Such a research program turned out to be unsuccessful, yet the Italian endeavour was worldwide one of the first and most significant revivals of the interest towards quantum foundations.
The article explores the different modalities of the notion of bond in Rousseau’s philosophy (social, civil, political) according to the main axes of his thinking. We begin with the criticism of the sociability of Enlightenment developed in the Discourse on the Origins and Basis of Inequality among Men in order to compare it with the political remedy that emerges in the Social Contract, as well as the analysis that is conducted in the Émile around “the abstract man” cultivating his capacity for attachment. Thus the genealogy of the links can emerge from the relationships of need. Alongside the condemnation of mutual dependence, mapping the notions of link, bond, relationship, node and spring offers full meaning to the positive definition of Man as a “relative being”.
History (General) and history of Europe, Philosophy (General)
This paper describes how the curriculum Reading like a historian, endorsed by the Stanford History Education Group, was used in the first two years of an Italian high school. It is an innovative study program, as it is based on an active approach to learning and aimed at developing some important skills that are typical of the work of the professional historian: in particular, the program focuses on the construction of answers to questions of investigation based on a critical analysis of the sources and their corroboration. Adopting this curriculum of studies in the Italian context necessarily stimulates the teacher to critically rethink the use of the history manual and the organization itself of its teaching.
Theory and practice of education, History (General) and history of Europe
Andrew S. Graus, James S. Bullock, Alex Fitts
et al.
We explore the radial variation of star formation histories in dwarf galaxies simulated with Feedback In Realistic Environments (FIRE) physics. The sample contains 9 low-mass field dwarfs with M_ star = 10^5 - 10^7 M_sun from previous FIRE results, and a new suite of 17 higher mass field dwarfs with M_star = 10^7 - 10^9 M_sun introduced here. We find that age gradients are common in our dwarfs, with older stars dominant at large radii. The strength of the gradient correlates with overall galaxy age such that earlier star formation produces a more pronounced gradient. The relation between formation time and strength of the gradient is driven by both mergers and star-formation feedback. Mergers can both steepen and flatten the age gradient depending on the timing of the merger and star formation history of the merging galaxy. In galaxies without significant mergers, early feedback pushes stars to the outskirts at early times. Interestingly, among galaxies without mergers, those with large dark matter cores have flatter age gradients because these galaxies have more late-time feedback. If real galaxies have age gradients as we predict, stellar population studies that rely on sampling a limited fraction of a galaxy can give a biased view of its global star formation history. We show that central fields can be biased young by a few Gyrs while outer fields are biased old. Fields positioned near the 2D half-light radius will provide the least biased measure of a dwarf galaxy's global star formation history.
The relationship of the Byzantine Empire and the Northern Black Sea region nomads in military sphere in 10th – 13th centuries are considered in present article on the basis of written and archaeological sources. The issues of interaction between the parties in military clashes, some aspects of sharing traditions in the military, weapons, methods and techniques of warfare are also concerned. An attempt is made to generalize the data of written sources and to correlate them with archaeological sources.