Specimens from one build of laser powder bed fusion (PBF-L) titanium alloy (Ti-6Al-4V) were split equally into two heat treatment conditions. The first condition is a non-standard hot isostatic pressing (HIP) heat treatment (800 °C, 2 h, argon pressure of 200 MPa, approximately 12 °C/min cooling rate), which will be referred to as 800HIP. The second condition is the same heat treatment but in a vacuum furnace with a partial pressure of argon (75 mTorr), and will be referred to as 800VAC.

This challenge is a follow-on from AMB2022-01 laser powder bed fusion (PBF-LB) alloy Inconel 718 in the as-built condition (no heat treatment). Eight continuum-but-miniature tensile specimens were excised from the same size legs (2.5 mm width) of one original AMB2022-01 specimen (AMB2022-718-AMMT-B7-P4). Excised tensile specimens were quasi-static uniaxially tensile tested according to ASTM E8 (strain rate 1*10-3 sec-1, 3 mm gauge length custom contact extensometer).

The increasing amounts of discarded textiles represent a potentially valuable resource that could be reclaimed. This work underscores the significance of advancing chemical recycling techniques for multi-component fabrics under mild reaction conditions. We present a method for nondestructive recovery of cotton (C), elastane, and nylon from polyester (polyethylene terephthalate (P)) textile blends through alkaline hydrolysis, supported with a phase-transfer catalyst.

AgentDojo-Inspect is a codebase created by the U.S. AI Safety Institute to facilitate research into agent hijacking and defenses against said hijacking. Agent hijacking is a type of indirect prompt injection [1] in which an attacker inserts malicious instructions into data that may be ingested by an AI agent, causing it to take unintended, harmful actions.AgentDojo-Inspect is a fork of the original AgentDojo repository [2], which was created by researchers at ETH Zurich [3]. This fork extends the upstream AgentDojo in four key ways:1.

The NIST Excerpts Benchmark Data are a set of target data for deidentification algorithms. The data are configured to work with "SDNist: Synthetic Data Report Tool", a package for evaluating synthetic data generators: https://github.com/usnistgov/SDNist. An installation of SDNist will download the data resources automatically.

This repository contains data generated to support and ECTC 2025 conference manuscript titled "Advanced Metrology Suite for Linking Residual Stress to Fundamental Properties of Thermoset Packaging Materials". It contains differential scanning calorimetry (DSC), rheology, digital image correlation (DIC), vapor uptake, and stress bench data on and example commercially available encapsulant epoxy material.

This document is part of a series of reports describing experimental property measurements completed at the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma, in the 1980s and 1990s. Members of the Bartlesville Thermodynamics Group included William D. "Bill" Good, William V. "Bill" Steele, Bruce E. Gammon, Norris K. Smith, Stephen E. Knipmeyer, An "Andy" Nguyen, Timothy D. Klots, I. A. "Alex" Hossenlopp, Aaron P. Rau, William B. Collier, John F. Messerly, Ann G. Osborn, Susan Lee-Bechtold, Donald G. Archer, Ian R.

The 2.4 GHz ISM band is shared by Wi-Fi, Bluetooth, Wireless HART, ISA100.11a, and several other industrial wireless systems. Our dataset contains comprehensive electromagnetic interference (EMI) measurements from TIG welding processes conducted in the NIST fabrication shop. The measurements were taken using a typical arc welding power source and recorded at three distinct frequencies: 900 MHz, 2.4 GHz, and 5.3 GHz.

This document is part of a series of reports describing experimental property measurements completed at the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma, in the 1980s and 1990s. Members of the Bartlesville Thermodynamics Group included William D. "Bill" Good, William V. "Bill" Steele, Bruce E. Gammon, Norris K. Smith, Stephen E. Knipmeyer, An "Andy" Nguyen, Timothy D. Klots, I. A. "Alex" Hossenlopp, Aaron P. Rau, William B. Collier, John F. Messerly, Ann G. Osborn, Susan Lee-Bechtold, Donald G. Archer, Ian R.

This dataset contains short videos (ranging from 3 seconds to 10 seconds) from TRECVID VTT task from 2016 to 2024. There are 73,893 videos with captions. Each video has between 2 and 5 captions, which have been written by dedicated annotators hired by NIST.