The problem of high-cycle fatigue (HCF) failures that has recently plagued the aircraft jet-engine industry is associated with the rapid growth of small defects under the action of high-frequency vibrational or resonant loading; such defects have been associated with regions of microstructural damage attributed to such processes as foreign object damage, surface fretting and low-cycle fatigue. Since the size of these defects is generally below characteristic inspection limits, traditional design and life-prediction procedures do not specifically address this problem. Moreover, from a fracture-mechanics perspective, small fatigue cracks, of dimensions less than ∼500 μm, often behave in an apparently anomalous fashion, compared to conventional results on through-thickness large cracks, of dimensions greater than ∼5 mm (e.g., in compact-tension specimens). Such “anomalous” small-crack behavior is not limited to metallic alloys but is also seen in ceramics and intermetallics. It is the intent of this paper to briefly review what a small crack is and how its behavior may differ from that of long cracks. Indeed, there are several definitions of small cracks which relate to their size in comparison to the dimensions of the microstructure, the local inelastic zones (e.g., plastic-zone size) ahead of the crack tip, and the zone of crack-tip shielding (e.g., from crack closure) behind the tip. The relevance of this to the HCF problem and more broadly to fatigue life prediction in general will also be discussed.
Six months into Joe Biden's presidency, a Google search for "Bidenomics" returns 256,000 hits.Unfortunately, such a search does not tell us the meaning of the term, or even whether a coherent concept exists.At root, President Biden and his team envisage a more expansive economic role for government.Biden was elected to the Senate in 1972, having come of political age in the era of Lyndon Johnson's "Great Society" of spending programs on education, healthcare, urban renewal and anti-poverty.Biden's infrastructure proposal envisaged $2.3 trillion of new spending on roads, bridges, broadband and climate change abatement.This was twinned with his $1.8 trillion American Families Plan for healthcare, childcare, eldercare and education programs.Over the summer, the infrastructure package was downsized to $600 billion of new spending.The revision was deemed necessary to bring Republican legislators on board and retain the support of moderate Democrats from heavily Republican states, such as Senator Joe Manchin of West Virginia.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
The Joint BioEnergy Institute (JBEI) is a U.S. Department of Energy (DOE) Bioenergy Research Center dedicated to developing advanced biofuels—liquid fuels derived from the solar energy stored in plant biomass that can replace gasoline, diesel and jet fuels.
Large Language Models (LLMs) require careful safety alignment to prevent malicious outputs. While significant research focuses on mitigating harmful content generation, the enhanced safety often come with the side effect of over-refusal, where LLMs may reject innocuous prompts and become less helpful. Although the issue of over-refusal has been empirically observed, a systematic measurement is challenging due to the difficulty of crafting prompts that can elicit the over-refusal behaviors of LLMs. This study proposes a novel method for automatically generating large-scale over-refusal datasets. Leveraging this technique, we introduce OR-Bench, the first large-scale over-refusal benchmark. OR-Bench comprises 80,000 over-refusal prompts across 10 common rejection categories, a subset of around 1,000 hard prompts that are challenging even for state-of-the-art LLMs, and an additional 600 toxic prompts to prevent indiscriminate responses. We then conduct a comprehensive study to measure the over-refusal of 32 popular LLMs across 8 model families. Our datasets are publicly available at https://huggingface.co/bench-llms and our codebase is open-sourced at https://github.com/justincui03/or-bench. We hope this benchmark can help the community develop better safety aligned models.
This is the FLUXNET2015 version of the carbon flux data for the site US-Myb Mayberry Wetland.