Study on Using High Temperature Steam Preparation of Ultra Light Foam TPU Pellets Based Supercritical CO2

This paper mainly introduces the technology of supercritical CO2 pretreatment and high temperature steam preparation of super mild foaming TPU pellets. Mainly discusses the supercritical CO2 pretreatment preparation ultra mild foaming TPU pellets process in high temperature steam condition change of TPU micro foaming granule structure and properties of impact. Experimental results show that the high temperature steam temperature, processing time will influence TPU granules of microporous quantity, structure, resulting in pellets of different physical properties.

PSXII-16 Fertility affects in yearling beef heifers grazing triticale before artificial insemination

Our objective was to compare two systems of pre-breeding heifer development, drylot (D) or grazing winter triticale (T) on heifer fertility. In each of 4 years (yr), Black Angus heifers (n = 168, 86, 97 and 103, respectively) were allotted to treatment (trt) 32 to 50 days (d) prior to artificial insemination (AI). Each year a 14-d CIDR PG protocol was used to synchronize estrus (d-30 to d-16: 1.38 g progesterone intravaginal insert, CIDR; d 0: 25 mg dinoprost tromethamine injection; + 66 hours: 100 µg gonadorelin hydrochloride injection, and AI). Starting body weight and body condition were similar between treatments but differed by year (P < 0.01). After CIDR removal, 83% were in estrus by d -10 and did not differ with trt or yr. Weight at AI was greater (P < 0.01) for T (384 kg ± 2) than D (378 kg ± 2) with a trt by yr interaction. Body condition change between start of treatment and AI was greater (P < 0.01) for T (0.44 ± 0.03) than D (-0.02 ± 0.04) with a trt by yr interaction (P < 0.01) due to the magnitude of difference. A trt by yr interaction occurred for estrous response before AI (P < 0.01). Treatment means for AIPR were 59.1% (143/242) for D and 42.1% (101/240) for T (trt; P < 0.01). AIPR was similar between treatments in yr 1 and higher for D than T in subsequent yr (trt x yr, P < 0.05). Blood urea nitrogen was greater (P < 0.05) in T than D on d 0 and at AI. At the time of AI, triticale was more mature in yr 1 when there was no difference in AIPR. Grazing triticale during estrus synchronization and AI resulted in acceptable gains but decreased fertility in yearling beef heifers.

Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning

Industrial robots play an increasingly important role in a growing number of fields. Since the breakdown of a single robot may have a negative impact on the entire process, predictive maintenance systems have gained importance as an essential component of robotics service offerings. The main shortcoming of such systems is that features extracted from a task typically differ significantly from the learnt model of a different task, incurring false alarms. In this paper, we propose a novel solution based on transfer learning which addresses a well-known challenge in predictive maintenance algorithms by passing the knowledge of the trained model from one task to another in order to prevent the need for retraining and to eliminate such false alarms. The deployment of the proposed algorithm on real-world datasets demonstrates that the algorithm can not only distinguish between tasks and mechanical condition change, it further yields a sharper deviation from the trained model in case of a mechanical condition change and thus detects mechanical issues with higher confidence.

Extreme black hole anabasis

We study the SL(2) transformation properties of spherically symmetric perturbations of the Bertotti-Robinson universe and identify an invariant μ that characterizes the backreaction of these linear solutions. The only backreaction allowed by Birkhoff’s theorem is one that destroys the AdS2× S2 boundary and builds the exterior of an asymptotically flat Reissner-Nordström black hole with $$ Q=M\sqrt{1-\mu /4} $$ Q = M 1 − μ / 4 . We call such backreaction with boundary condition change an anabasis. We show that the addition of linear anabasis perturbations to Bertotti-Robinson may be thought of as a boundary condition that defines a connected AdS2×S2. The connected AdS2 is a nearly-AdS2 with its SL(2) broken appropriately for it to maintain connection to the asymptotically flat region of Reissner-Nordström. We perform a backreaction calculation with matter in the connected AdS2× S2 and show that it correctly captures the dynamics of the asymptotically flat black hole.