Understanding Class Representations : An Intrinsic Evaluation of Zero-Shot Text Classification

Frequently, Text Classification is limited by insufficient training data. This problem is addressed by Zero-Shot Classification through the inclusion of external class definitions and then exploiting the relations between classes seen during training and unseen classes (Zero-shot). However, it requires a class embedding space capable of accurately representing the semantic relatedness between classes. This work defines an intrinsic evaluation based on greater-than constraints to provide a better understanding of this relatedness. The results imply that textual embeddings are able to capture more semantics than Knowledge Graph embeddings, but combining both modalities yields the best performance

Agrivoltaics—The Perfect Fit for the Future of Organic Photovoltaics

Abstract This Essay presents a possible pathway for the advancement of organic photovoltaics toward broader commercial success and enlarged market size. This vision aims at broad scale applications in photovoltaic greenhouses and polytunnels, which harvest those portions of the solar spectrum that are not used or required by plants. Based on the assumptions of the Shockley–Queisser–Limit, respectively detailed balance, and the additional postulation of using no absorption in the visible part of the AM 1.5G solar spectrum a power conversion efficiency of ≈17% is theoretically predicted. The suggestion is supported by the existence of a number of organic compounds, which already exhibit a good spectral compatibility with the typical photosynthetic action spectrum of chloroplasts. It is hoped that more suitable materials development shall be triggered and fertilized as a result of this Essay.A promising path is suggested for upscaling of organic photovoltaics (OPV) toward true mass application in the form of semi‐transparent OPV embedded in polytunnels or green‐houses. Here their specific properties, that is, offering narrow band absorption in the infrared wavelength range can be used as game changer. imag

A novel multiple-trauma CT-scanning protocol using patient repositioning

Emergency CT examination is considered to be a trade-off between a short scan time and the acceptance of artifacts. This study evaluates the influence of patient repositioning on artifacts and scan time. Eighty-three consecutive multiple-trauma patients were included in this prospective study. Patients were examined without repositioning (group 1, n=39) or with patient rotation to feet-first with arms raised for scanning the chest and abdomen/pelvis (group 2, n=44). The mean scan time was 21min in group 1 and 25min in group 2 (P=0.01). The mean repositioning time in group 2 was 8min. Significantly, more artifacts were observed in group 1 (with a repeated scan in 7%) than in group 2 (P=0.0001). This novel multiple- trauma CT-scanning protocol with patient repositioning achieves a higher image quality with significantly fewer artifacts than without repositioning but increases scan time slightl

Response to Christopher P. Muzzillo's Comments on “Introduction of a Novel Figure of Merit for the Assessment of Transparent Conductive Electrodes in Photovoltaics: Exact and Approximate Form”

Similarities and differences between figure of merits (FOMs) for the assessment of transparent conductive electrodes (TCEs) are discussed. This article is a response to C. P. Muzzillo's comment on the introduction of the novel FOM (the so‐called exact FOM or Anand's FOM) and it deals with questions about how implicit and how exact the different approaches really are and whether specific application cases can be covered or not. While the exact FOM has been introduced to provide an upper limit of photovoltaic power conversion efficiency for the whole range of possible transmittance and sheet resistance values of transparent conductive oxides, Muzzillo's comment points out specific application cases, that have to be treated with more individual modeling. In this work, the authors adopt these application cases into the exact FOM to demonstrate its applicability. Furthermore, the FOM approximation given by Muzzillo is used and slightly refined, yielding an even better agreement with the exact FOM. In the end, it is concluded that both approaches are justified: Muzzillo's FOM for very practical applications and Anand's (exact) FOM for fundamental assessment. In this work, both approaches have been harmonized to yield an ultimate tool for the future development of TCEs for photovoltaics

Whole-body computed tomography for multiple traumas using a triphasic injection protocol

To evaluate a triphasic injection protocol for whole-body multidetector computed tomography (MDCT) in patients with multiple trauma. Fifty consecutive patients (41 men) were examined. Contrast medium (300mg/mL iodine) was injected starting with 70mL at 3mL/s, followed by 0.1mL/s for 8s, and by another bolus of 75mL at 4mL/s. CT data acquisition started 50s after the beginning of the first injection. Two experienced, blinded readers independently measured the density in all major arteries, veins, and parenchymatous organs. Image quality was assessed using a five-point ordinal rating scale and compared to standard injection protocols [n = 25 each for late arterial chest, portovenous abdomen, and MDCT angiography (CTA)]. With the exception of the infrarenal inferior caval vein, all blood vessels were depicted with diagnostic image quality using the multiple-trauma protocol. Arterial luminal density was slightly but significantly smaller compared to CTA (P < 0.01). Veins and parenchymatous organs were opacified significantly better compared to all other protocols (P < 0.01). Arm artifacts reduced the density of spleen and liver parenchyma significantly (P < 0.01). Similarly high image quality is achieved for arteries using the multiple-trauma protocol compared to CTA, and parenchymatous organs are depicted with better image quality compared to specialized protocols. Arm artifacts should be avoide

Automating the application data placement in hybrid memory systems

Multi-tiered memory systems, such as those based on Intel® Xeon Phi™processors, are equipped with several memory tiers with different characteristics including, among others, capacity, access latency, bandwidth, energy consumption, and volatility. The proper distribution of the application data objects into the available memory layers is key to shorten the time– to–solution, but the way developers and end-users determine the most appropriate memory tier to place the application data objects has not been properly addressed to date.In this paper we present a novel methodology to build an extensible framework to automatically identify and place the application’s most relevant memory objects into the Intel Xeon Phi fast on-package memory. Our proposal works on top of inproduction binaries by first exploring the application behavior and then substituting the dynamic memory allocations. This makes this proposal valuable even for end-users who do not have the possibility of modifying the application source code. We demonstrate the value of a framework based in our methodology for several relevant HPC applications using different allocation strategies to help end-users improve performance with minimal intervention. The results of our evaluation reveal that our proposal is able to identify the key objects to be promoted into fast on-package memory in order to optimize performance, leading to even surpassing hardware-based solutions.This work has been performed in the Intel-BSC Exascale Lab. Antonio J. Peña is cofinanced by the Spanish Ministry of Economy and Competitiveness under Juan de la Cierva fellowship number IJCI-2015-23266. We would like to thank the Intel’s DCG HEAT team for allowing us to access their computational resources. We also want to acknowledge this team, especially Larry Meadows and Jason Sewall, as well as Pardo Keppel for the productive discussions. We thank Raphaël Léger for allowing us to access the MAXW-DGTD application and its input.Peer ReviewedPostprint (author's final draft