Web Service Discovery in a Semantically Extended UDDI Registry: the Case of FUSION

Service-oriented computing is being adopted at an unprecedented rate, making the effectiveness of automated service discovery an increasingly important challenge. UDDI has emerged as a de facto industry standard and fundamental building block within SOA infrastructures. Nevertheless, conventional UDDI registries lack means to provide unambiguous, semantically rich representations of Web service capabilities, and the logic inference power required for facilitating automated service discovery. To overcome this important limitation, a number of approaches have been proposed towards augmenting Web service discovery with semantics. This paper discusses the benefits of semantically extending Web service descriptions and UDDI registries, and presents an overview of the approach put forward in project FUSION, towards semantically-enhanced publication and discovery of services based on SAWSDL

An Empirical Study of Factors Affecting Language-Independent Models

Scaling existing applications and solutions to multiple human languages has traditionally proven to be difficult, mainly due to the language-dependent nature of preprocessing and feature engineering techniques employed in traditional approaches. In this work, we empirically investigate the factors affecting language-independent models built with multilingual representations, including task type, language set and data resource. On two most representative Natural Language Processing tasks --- sentence classification and sequence labeling, we show that language-independent models can be comparable to or even outperforms the models trained using monolingual data, and they are generally more effective on sentence classification. We experiment language-independent models with many different languages and show that they are more suitable for typologically similar languages. We also explore the effects of different data sizes when training and testing language-independent models, and demonstrate that they are not only suitable for high-resource languages, but also very effective in low-resource languages

Assessment of Environmental Knowledge and Attitudes of Undergraduate Students at Malla Reddy University: A Study on Environmental Ethics

Educating University students at the initial levels can improve their knowledge of environmental issues. A relevant study was conducted at the School of Allied Healthcare Sciences, Malla Reddy University, Hyderabad, India, based on a cross-sectional design. A self-administered questionnaire focused on the socio-demographics, knowledge, and attitudes of 380 students toward environmental ethics was used to collect the data and analyzed by SPSS. The findings include about 50% (N=200) of the students were found to have low knowledge scores; on the other hand, 49.2% (N = 187) of students showed a pro attitude towards environmental issues. Chi2 analysis showed that place of birth and courses undergoing (clinical/nonclinical) resulted in a notable relationship with knowledge scores. Pearson's correlation analysis showed that the place of birth (POB) (r=0.143; p=0.05) and clinical/nonclinical courses (r=0.206; p=0.05) had weak relation to knowledge score; a negative, weak correlation was found between attitude score and education levels (r= -0.105; p=0.01) of the students. The present study showed that University students had a moderate level of knowledge of the environment, and about 20% showed a negative attitude toward environmental practices. The present study suggests the need to include environmental awareness programs in corresponding curricula to improve awareness of the environment

Floquet prethermalization with lifetime exceeding 90s in a bulk hyperpolarized solid

We report the observation of long-lived Floquet prethermal states in a bulk solid composed of dipolar-coupled $^{13}$C nuclei in diamond at room temperature. For precessing nuclear spins prepared in an initial transverse state, we demonstrate pulsed spin-lock Floquet control that prevents their decay over multiple-minute long periods. We observe Floquet prethermal lifetimes $T_2'\approx$90.9s, extended >60,000-fold over the nuclear free induction decay times. The spins themselves are continuously interrogated for $\sim$10min, corresponding to the application of $\approx$5.8M control pulses. The $^{13}$C nuclei are optically hyperpolarized by lattice Nitrogen Vacancy (NV) centers; the combination of hyperpolarization and continuous spin readout yields significant signal-to-noise in the measurements. This allows probing the Floquet thermalization dynamics with unprecedented clarity. We identify four characteristic regimes of the thermalization process, discerning short-time transient processes leading to the prethermal plateau, and long-time system heating towards infinite temperature. This work points to new opportunities possible via Floquet control in networks of dilute, randomly distributed, low-sensitivity nuclei. In particular, the combination of minutes-long prethermal lifetimes and continuous spin interrogation opens avenues for quantum sensors constructed from hyperpolarized Floquet prethermal nuclei.Comment: 5 pages, 5 figures. SI: 2 pages, 4 figure