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This data visualization presents provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. Counts for the most recent final annual data are provided for comparison.

This work introduces first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1, which incorporates multi-stage training and cold-start data before RL and achieves performance comparable to OpenAI-o1-1217 on reasoning tasks.

O presente artigo aborda as mudanças propostas pela CAPES para o ciclo avaliativo 2025-2028, destacando a transição de um sistema baseado na reputação dos periódicos (Qualis) para uma abordagem que prioriza a qualidade intrínseca dos artigos científicos. A nova sistemática introduz três metodologias principais: indicadores bibliométricos do periódico, indicadores diretos do artigo e uma análise qualitativa detalhada. Essas alterações buscam corrigir distorções do sistema anterior, promovendo uma avaliação mais justa e equilibrada. Além de incentivar a inovação e a diversidade, o modelo híbrido...

Agent-based modeling (ABM) is a novel computational methodology for representing the behavior of individuals in order to study social phenomena. Its use is rapidly growing in many fields. We review ABM in economics and finance and highlight how it can be used to relax conventional assumptions in standard economic models. ABM has enriched our understanding of markets, industrial organization, labor, macro, development, public policy, and environmental economics. In financial markets, substantial accomplishments include understanding clustered volatility, market impact, systemic risk, and housin...

. This article is an edited transcription of two conversations at Birkbeck College, London, in February 1987. Its primary concern is a transdisciplinary consciousness that refuses to comply with the tendency toward reductionism and simplification. Some of the problems the dialogue explores are (1) the notion of order (with particular reference to Bohm’s recent reflections on the concept of the generative order), (2) the limits of knowledge and the concept of the Absolute, (3) the nature of perceptive or intuitive reason, (4) the relation between matter and mind

From the acclaimed designer and bestselling author of Reimagining Design, a nonlinear approach to navigating design's nuances in pursuit of meaningful innovation. In Nonlinear, Kevin Bethune shows us that we can reject trodden paths of digital or physical product creation by taking advantage of a nonlinear approach. To unlock meaningful innovation that breeds new and novel outcomes, he writes, teams need to embark on a journey into the proverbial forest of ambiguity, the result of a rapidly converging, dynamic, and exponentially changing landscape. The journey is less about getting it right o...

Penelitian ini bertujuan untuk menganalisis konsep distribusi kekayaan dalam Islam berdasarkan perspektif Alquran. Dengan menggunakan metode kualitatif deskriptif dan pendekatan studi kepustakaan, penelitian ini menyoroti pentingnya keadilan ekonomi dalam mengurangi kesenjangan sosial. Islam menawarkan berbagai instrumen distribusi kekayaan, seperti zakat, infak, sedekah, warisan, wakaf, ghanimah, dan fa’i, yang bertujuan untuk menciptakan keseimbangan ekonomi dan sosial. Larangan terhadap riba juga menjadi bagian penting untuk mencegah eksploitasi ekonomi dan monopoli kekayaan. Ayat-ayat Alqu...

La óptica es la parte de la Física que se encarga del estudio de la luz, lo que favorece al ojo humano a detecta diversos colores que se encuentran en la zona visible contemplado en un espectro electromagnética, la óptica se clasifica en geométrica, física y cuántica; la primera estudia los fenómenos relativos a la propagación de la luz, considerando las leyes de reflexión y las leyes de refracción, la segunda estudia la luz como una onda y no como un rayo y la tercera trata a la luz con características cuánticas de onda y partícula.

We present rStar-Math to demonstrate that small language models (SLMs) can rival or even surpass the math reasoning capability of OpenAI o1, without distillation from superior models. rStar-Math achieves this by exercising"deep thinking"through Monte Carlo Tree Search (MCTS), where a math policy SLM performs test-time search guided by an SLM-based process reward model. rStar-Math introduces three innovations to tackle the challenges in training the two SLMs: (1) a novel code-augmented CoT data sythesis method, which performs extensive MCTS rollouts to generate step-by-step verified reasoning t...

El estudio se enfoca cómo el peso de la mochila escolar es un elemento de riesgo potencial para el desarrollo de dolor de espalda y desórdenes posturales en estudiantes de sexto y séptimo año de básica. La investigación se centra en evaluar la eficacia de la implementación de medidas para la prevención y el control del peso de las mochilas escolares para mitigar y aliviar los efectos adversos. Sin embargo, se evidencia que los educandos tienen dificultad con el peso de las mochilas, afectado su columna vertebral, es por ello que se plantea la interrogante ¿Cómo influye el desarrollo de la colu...

After supervised finetuning the Qwen2.5-32B-Instruct language model on s1K and equipping it with budget forcing, the model s1-32B exceeds o1-preview on competition math questions by up to 27% (MATH and AIME24).

The cancer mortality rate continued to decline through 2022, averting nearly 4.5 million deaths since 1991 because of smoking reductions, earlier detection for some cancers, and improved treatment, but future gains are threatened by rampant racial inequalities and a growing burden of disease in middle‐aged and young adults, especially women.

This work reports on the training practice of Kimi k1.5, the latest multi-modal LLM trained with RL, including its RL training techniques, multi-modal data recipes, and infrastructure optimization, which establishes a simplistic, effective RL framework without relying on more complex techniques such as Monte Carlo tree search, value functions, and process reward models.

A consensus filtering mechanism is developed that effectively integrates MC estimation with LLM-as-a-judge and advocates a more comprehensive evaluation framework that combines response-level and step-level metrics and significantly improves both model performance and data efficiency in the BoN evaluation and the step-wise error identification task.

This article proposes a conceptual model to assess how consumers’ materialistic motivations impact social characteristics (prestige and conspicuity) that generate status for innovative technological products, which can lead to consumption intention. The study used a quantitative approach to test a conceptual model using structural equation modeling through PLS – SEM. The results indicate that product prestige and perception of product conspicuity mediate consumers’ materialistic motivations, which affects the social status provided to the individual by the product. Likewise, perception of inno...

Konsep hukum progresif mendorong adanya komunitas hukum yang bekerja berani membuat kemajuan dalam penegakan hukum di Indonesia dan di luar negeri dirantai oleh pemikiran analitis yang murni positivis dan yuridis. Pengungkapan Hukum yang bersifat hukum progresif berangkat dari pengertian hukum progresif menggarisbawahi bahwa hukum itu ditujukan kepada rakyat dan mengandung nilai-nilai nilai-nilai keadilan dan kebenaran

This paper investigates the integration of AI-driven predictive models in DevOps pipelines, focusing on their ability to forecast build failures, optimize resource allocation, and streamline testing and deployment cycles.

Bypassing the eternal and unsolved problems of the definition of culture in superficial technical discussions, this paper deliberates on culture and language with the view to showing that proficiency in a language and deep understanding of whatever phenomenon can be more helpful in matters of culture and especially in language teaching rather than technical terminology and statistics. It overviews two books on cultural practices from the nineteenth and twentieth centuries and refers to personal observations and recent teaching practice. In conclusion, it narrows cultural representation in lang...

Methods and Techniques in Nematology discovers the intricate world of nematodes, a comprehensive guide essential for researchers, academics, and enthusiasts alike. This book addresses the methods crucial for studying these unsegmented roundworms, covering everything from sampling techniques to advanced molecular diagnostics and biodiversity analysis. Key Features: - Detailed sampling methods for diverse habitats. - Extraction procedures for soil, root, and entomopathogenic nematodes. - Microscopic observation techniques including SEM and DIC. - Molecular diagnostic tools such as PCR and RFLP....

To circumvent the numerous deficiencies inherent to water-based fracturing fluids and the associated greenhouse effect, CO2 fracturing fluids are employed as a novel reservoir working fluid for reservoir reconstruction in unconventional oil fields. Herein, a mathematical model of CO2 fracturing crack propagation based on seepage–stress–damage coupling was constructed for analysing the effects of different drilling fluid components and reservoir parameters on the crack propagation behaviour of low permeability reservoirs. Additionally, the fracture expansion mechanism of CO2 fracturing fluid on...