Abstract: The invention relates generally to welding and, more specifically, to welding wires for arc welding, such as Gas Metal Arc Welding (GMAW) or Flux Core Arc Welding (FCAW). In one embodiment, a tubular welding wire includes a sheath and a core. The tubular welding wire is configured to form a weld deposit on a structural steel workpiece, wherein the weld deposit includes less than approximately 2.5% manganese by weight.

Abstract: Described are techniques for quality analysis using thermographic imaging. In one example, a system including a test chamber for receiving an unpowered component. The system further includes an external heat source for heating the unpowered component for a predetermined period of time. The system further includes a thermographic imaging system for collecting thermographic images of the unpowered component during the predetermined period of time. The system further includes a computer communicatively coupled to the thermographic imaging system and configured to classify a quality of the unpowered component based on the thermographic images of the unpowered component.

Abstract: Systems and methods for low-manganese welding alloys are disclosed. An example arc welding consumable may comprise: between 0.4 and 1.0 wt % manganese; strengthening agents selected from the group consisting of nickel, cobalt, copper, carbon, molybdenum, chromium, vanadium, silicon, and boron; and grain control agents selected from the group consisting of niobium, tantalum, titanium, zirconium, and boron. The grain control agents may comprise greater than 0.06 wt % and less than 0.6 wt % of the welding consumable. The resulting weld deposit may comprise a tensile strength greater than or equal to 70 ksi, a yield strength greater than or equal to 58 ksi, a ductility (as measured by percent elongation) of at least 22%, and a Charpy V-notch toughness greater than or equal to 20 ft-lbs at ?20° F. The welding consumable may provide a manganese fume generation rate less than 0.01 grams per minute during the arc welding operation.

Abstract: Systems and methods for low-manganese welding alloys are disclosed. An example arc welding consumable may comprise: between 0.4 and 1.0 wt % manganese; strengthening agents selected from the group consisting of nickel, cobalt, copper, carbon, molybdenum, chromium, vanadium, silicon, and boron; and grain control agents selected from the group consisting of niobium, tantalum, titanium, zirconium, and boron. The grain control agents may comprise greater than 0.06 wt % and less than 0.6 wt % of the welding consumable. The resulting weld deposit may comprise a tensile strength greater than or equal to 70 ksi, a yield strength greater than or equal to 58 ksi, a ductility (as measured by percent elongation) of at least 22%, and a Charpy V-notch toughness greater than or equal to 20 ft-lbs at ?20° F. The welding consumable may provide a manganese fume generation rate less than 0.01 grams per minute during the arc welding operation.

Abstract: Provided herein are methods, systems, and devices for increasing heat shock protein expression and treating conditions for which increased heat shock protein expression is expected to be beneficial using thermal ablation.

Abstract: Provided herein are methods, devices, compositions, and kits for monitoring neuromodulation efficacy based on changes in the level or activity of one or more target biomarkers. One aspect includes a comparison of baseline and post-modulation levels of one or more biomarkers in bodily fluid that have each been collected from a human subject at a relevant time, and that may be used to assess the neuromodulation efficacy. The post-neuromodulation levels for the one or more biomarkers may be collected from the human subject within about 5 minutes to about 14 days post-neuromodulation.

Abstract: Provided herein are methods, systems, and devices for increasing heat shock protein expression and treating conditions for which increased heat shock protein expression is expected to be beneficial using thermal ablation.

Abstract: Provided herein are methods, systems, and devices for increasing heat shock protein expression and treating conditions for which increased heat shock protein expression is expected to be beneficial using thermal ablation.

Abstract: A computing device selects a feature set and hyperparameters for a machine learning model to predict a value for a characteristic in a scoring dataset. A number of training model iterations is determined. A unique evaluation pair is selected for each iteration that indicates a feature set selected from feature sets and a hyperparameter configuration selected from hyperparameter configurations. A machine learning model is trained using each unique evaluation pair. Each trained machine learning model is validated to compute a performance measure value. An estimation model is trained with the feature set, the hyperparameter configuration, and the performance measure value computed for unique evaluation pair. The trained estimation model is executed to compute the performance measure value for each unique evaluation pair. A final feature set and a final hyperparameter configuration are selected based on the computed performance measure value.

Abstract: A computing device selects a feature set and hyperparameters for a machine learning model to predict a value for a characteristic in a scoring dataset. A number of training model iterations is determined. A unique evaluation pair is selected for each iteration that indicates a feature set selected from feature sets and a hyperparameter configuration selected from hyperparameter configurations. A machine learning model is trained using each unique evaluation pair. Each trained machine learning model is validated to compute a performance measure value. An estimation model is trained with the feature set, the hyperparameter configuration, and the performance measure value computed for unique evaluation pair. The trained estimation model is executed to compute the performance measure value for each unique evaluation pair. A final feature set and a final hyperparameter configuration are selected based on the computed performance measure value.

Abstract: One or more embodiments may include techniques to computer generate one or more plots based on computational clustering performed by a system. Embodiments include performing clustering on a dataset to generate a number of clusters of data for the dataset. The clusters may be processed and used to generate the one or more plots. In some embodiments, the plots may include one or more variables plotted against a weighted average score associated with a cluster, the plot may visually indicate the effect that the one or more variables has on the predicted outcome. The one or more plots may be presented in a display on a display device. In some embodiments, the plots may be segmented and each segment may correspond with a number of individual curves. The segmented curves may be plotted and displayed on the display device.

Abstract: One or more embodiments may include techniques to computer generate one or more plots based on computational clustering performed by a system. Embodiments include performing clustering on a dataset to generate a number of clusters of data for the dataset. The clusters may be processed and used to generate the one or more plots. In some embodiments, the plots may include one or more variables plotted against a weighted average score associated with a cluster, the plot may visually indicate the effect that the one or more variables has on the predicted outcome. The one or more plots may be presented in a display on a display device. In some embodiments, the plots may be segmented and each segment may correspond with a number of individual curves. The segmented curves may be plotted and displayed on the display device.

Abstract: One or more embodiments may include techniques to computer generate one or more plots based on computational clustering performed by a system. Embodiments include performing clustering on a dataset to generate a number of clusters of data for the dataset. The clusters may be processed and used to generate the one or more plots. In some embodiments, the plots may include one or more variables plotted against a weighted average score associated with a cluster, the plot may visually indicate the effect that the one or more variables has on the predicted outcome. The one or more plots may be presented in a display on a display device. In some embodiments, the plots may be segmented and each segment may correspond with a number of individual curves. The segmented curves may be plotted and displayed on the display device.

Abstract: One or more embodiments may include techniques to computer generate one or more plots based on computational clustering performed by a system. Embodiments include performing clustering on a dataset to generate a number of clusters of data for the dataset. The clusters may be processed and used to generate the one or more plots. In some embodiments, the plots may include one or more variables plotted against a weighted average score associated with a cluster, the plot may visually indicate the effect that the one or more variables has on the predicted outcome. The one or more plots may be presented in a display on a display device. In some embodiments, the plots may be segmented and each segment may correspond with a number of individual curves. The segmented curves may be plotted and displayed on the display device.

Abstract: Provided herein are methods, systems, and devices for increasing heat shock protein expression and treating conditions for which increased heat shock protein expression is expected to be beneficial using thermal ablation.

Abstract: Provided herein are methods, devices, compositions, and kits for monitoring neuromodulation efficacy based on changes in the level or activity of one or more target biomarkers.

Abstract: Provided herein are methods, systems, and devices for increasing heat shock protein expression and treating conditions for which increased heat shock protein expression is expected to be beneficial using thermal ablation.

Abstract: Provided herein are methods, systems, and devices for increasing heat shock protein expression and treating conditions for which increased heat shock protein expression is expected to be beneficial using thermal ablation.

Abstract: Methods and intravascular treatment devices for treating atherosclerosis are provided.

Abstract: Methods and intravascular treatment devices for treating atherosclerosis are provided.