An analysis of the importance of volunteers during events

Volunteers play an important role in events worldwide. This research examines the importance of volunteers’ motivation and satisfaction during events by using Sing China as a case study. This research focuses on events, volunteers, volunteer recruitment, volunteer rewards and volunteer retention. The research uses both quantitative and qualitative methods. 50 random strangers off the street were surveyed., Published journals were used as academic support for the theories. The results show that people are interested in cultural events and they come to volunteer for the reason of improving personal values and build self-esteem. For the part of volunteer motivation, most of the participants show themselves willing to receive small gifts after volunteering. Providing a chance for volunteers to choose jobs which suit them, and providing volunteer training are the main things that participants think should improve during the events

The accumulation of new carbon input and microbial residues in soil under long-term conservation agricultural management practices

A better understanding of the mechanisms of soil organic matter (SOM) stabilization is necessary for improving soil quality, especially in agroecosystems. This doctoral dissertation research studied the effects of long-term conservation agricultural management practices on the accumulation of newly added labile carbon (C) and microbially derived SOM. To study their accumulation in soil, newly added labile C was represented by carbon-13 (13C) labelled glucose and the microbially derived SOM was represented by amino sugars.Short-term drying-rewetting cycles are common in surface soils, especially in agroecosystems, which may have different effects on different C pool. Understanding the accumulation and mineralization of newly added labile C in soil during drying-rewetting cycles is important for predicting soil organic C (SOC) storage in long-term. A 24-day incubation in microcosms was conducted with an agricultural soil under 36 years of conservation management. I added 13C-labelled glucose and applied different frequencies of drying-rewetting cycles to the microcosms. At the end of the 24-day incubation, 0.08%-1% of the added glucose C was incorporated into the extractable organic C (EOC) pool, 4%-27% of the added glucose C was incorporated into the microbial biomass C (MBC) pool, and 0.7%-5% of the added glucose C was incorporated into the hydrogen peroxide (H2O2)-resistant C pool. The drying treatment induced higher recovery of the added glucose C in each C pool. The vetch cover crops are more favorable for the stabilization of newly added labile C under repeated drying-rewetting cycles. Structural equation model shows that chemical association and biochemical recalcitrance rather than physical protection are major controls of labile C sequestration in soil under drying-rewetting cycles.Understanding the physical, chemical, and microbial processes controlling the retention of microbial residues in soil is essential for predicting the accumulation of microbially derived SOM. I measured amino sugar concentration, C and nitrogen (N) concentrations microbial respiration rate, extracellular enzyme activity, and soil aggregate composition in an agricultural soil under 31-years of conservation management. Structural equation models show that physical protection plays a critical role in muramic acid stabilization, while microbial activity and substrate availability are more critical for glucosamine

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Target-based sentiment analysis involves opinion target extraction and target sentiment classification. However, most of the existing works usually studied one of these two sub-tasks alone, which hinders their practical use. This paper aims to solve the complete task of target-based sentiment analysis in an end-to-end fashion, and presents a novel unified model which applies a unified tagging scheme. Our framework involves two stacked recurrent neural networks: The upper one predicts the unified tags to produce the final output results of the primary target-based sentiment analysis; The lower one performs an auxiliary target boundary prediction aiming at guiding the upper network to improve the performance of the primary task. To explore the inter-task dependency, we propose to explicitly model the constrained transitions from target boundaries to target sentiment polarities. We also propose to maintain the sentiment consistency within an opinion target via a gate mechanism which models the relation between the features for the current word and the previous word. We conduct extensive experiments on three benchmark datasets and our framework achieves consistently superior results.Comment: AAAI 201

Deep Recurrent Generative Decoder for Abstractive Text Summarization

We propose a new framework for abstractive text summarization based on a sequence-to-sequence oriented encoder-decoder model equipped with a deep recurrent generative decoder (DRGN). Latent structure information implied in the target summaries is learned based on a recurrent latent random model for improving the summarization quality. Neural variational inference is employed to address the intractable posterior inference for the recurrent latent variables. Abstractive summaries are generated based on both the generative latent variables and the discriminative deterministic states. Extensive experiments on some benchmark datasets in different languages show that DRGN achieves improvements over the state-of-the-art methods.Comment: 10 pages, EMNLP 201

Cool transition region loops observed by the Interface Region Imaging Spectrograph

We report on the first Interface Region Imaging Spectrograph (IRIS) study of cool transition region loops. This class of loops has received little attention in the literature. A cluster of such loops was observed on the solar disk in active region NOAA11934, in the Si IV 1402.8 \AA\ spectral raster and 1400 \AA\ slit-jaw (SJ) images. We divide the loops into three groups and study their dynamics and interaction. The first group comprises relatively stable loops, with 382--626\,km cross-sections. Observed Doppler velocities are suggestive of siphon flows, gradually changing from -10 km/s at one end to 20 km/s at the other end of the loops. Nonthermal velocities from 15 to 25 km/s were determined. These physical properties suggest that these loops are impulsively heated by magnetic reconnection occurring at the blue-shifted footpoints where magnetic cancellation with a rate of $10^{15}$ Mx/s is found. The released magnetic energy is redistributed by the siphon flows. The second group corresponds to two footpoints rooted in mixed-magnetic-polarity regions, where magnetic cancellation occurred at a rate of $10^{15}$ Mx/s and line profiles with enhanced wings of up to 200 km/s were observed. These are suggestive of explosive-like events. The Doppler velocities combined with the SJ images suggest possible anti-parallel flows in finer loop strands. In the third group, interaction between two cool loop systems is observed. Evidence for magnetic reconnection between the two loop systems is reflected in the line profiles of explosive events, and a magnetic cancellation rate of $3\times10^{15}$ Mx/s observed in the corresponding area. The IRIS observations have thus opened a new window of opportunity for in-depth investigations of cool transition region loops. Further numerical experiments are crucial for understanding their physics and their role in the coronal heating processes.Comment: Accepted for publication in Ap