Miracle-dz/UniFAR-FTUs huggingface dataset:
Studies on Depth-First Mining Algorithms for Maximal Flock Patterns from Large Trajectory Data

As the period of big data comes, researchers focus their eyes on novel types of data, such as streaming data and spatio-temporal data. GPS trajectory data as one of these kinds of novel data becomes more attractive than before. Since mining of trajectory data has different characteristics from traditional transaction data mining research, trajectory mining has attracted a great deal of attention for recent years. Flock pattern mining is one of the trajectory data mining topic introduced by Gudmundsson et al. in 2006. Flock patterns are a class of spatio-temporal patterns that represent a groups of moving objects which are close to each other in a given time segment. They are useful in detecting a group of highly correlated entities combining spatio-temporal features. In flock pattern mining, however, a huge number of redundant patterns with shorter lengths and fewer occurrences can be generated, which may degenerate the efficiency and comprehensiveness. One of the possible approach to this problem is to find only a subset of reprsentative patterns rather than all patterns. To overcome these difficulties, in this thesis, we introduce the classes of length-maximal and size-maximal flock patterns. Then, we devise efficient mining algorithms that find these classes of flock patterns from large trajectory data. Particularly, we present a variety of depth-first mining algorithms based on pattern-growth approach [66] for finding maximal flock patterns, which are efficient in terms of both time and space. In Chapter 3, we focus on mining of rightward length-maximal flock patterns. A
Power Management in Heterogeneous Multi-tier Web Clusters

Complex web applications are usually served by multi-tier web clusters. With the growing cost of energy, the importance of reducing power consumption in server systems is now well-known and has become a major research topic. However, most of previous works focused solely on homogeneous clusters. This paper addresses the challenge of power management in Heterogeneous Multi-tier Web Clusters. We apply Generalized Benders Decomposition (GBD) to decompose the global optimization problem into small sub-problems. This algorithm achieves the optimal solution in an iterative fashion. The simulation results show that our algorithm achieve more energy conservation than the previous works.
A circadian transcriptional sub-network and EARLY FLOWERING 3 control timing of senescence and grain nutrition in bread wheat

Circadian clocks control daily and seasonal timing of physiology and development. Because of their influence on photoperiodic flowering, variants in circadian clock genes have been selected for phenology during domestication of cereal crops. To explore the potential impact of this genetic variation on circadian-regulated traits, we investigated the relationship of the circadian clock and leaf senescence in hexaploid bread wheat. Phenotyping of a collection of elite wheat cultivars identified significant variation in circadian rhythms which was associated with timing of senescence and nutrient mobilisation efficiency. RNA sequencing revealed substantial reorganisation of the circadian-regulated transcriptome during senescence and a transcriptional sub-network representing a link between the circadian oscillator and regulators of leaf senescence. We used genotypes of multiple circadian clock genes to assign cultivars to ‘chronotypes’, which could be used to predict circadian-regulated phenotypes. This identified a deletion variant of EARLY FLOWERING 3-D1 (ELF3-D1) attributed to a phenology locus, Earliness per se (Eps-D1), and we used near-isogenic lines (NILs) to show that it affects timing of senescence and grain protein content (GPC). Thus, there are potential consequences of circadian clock genes selected for phenology on other valuable crop traits.
Evolving Impacts of Multiyear La Niña Events on Atmospheric Circulation and U.S. Drought

Wintertime precipitation over the southern U.S. is known to decrease with interannual cooling of the equatorial Pacific associated with La Niña, which often persists 2 years or longer. Composite analysis based on a suite of observational and reanalysis data sets covering the period 1901–2012 reveals distinct evolution of atmospheric teleconnections and U.S. precipitation anomalies during multiyear La Niña events. In particular, atmospheric circulation anomalies strengthen and become more zonally elongated over the North Pacific in the second winter compared to the first winter. U.S. precipitation deficits also remain large, while the region of reduced precipitation shifts northeastward in the second winter. This occurs despite a significant weakening of the equatorial Pacific cooling in the second winter and suggests that the large‐scale atmospheric circulation is more sensitive to tropical sea surface temperature anomalies of broader meridional extent. Given the extended climatic impacts, accurate prediction of La Niña duration is crucial.
Investigating the Conditions of Possibility for Environmental Health within Health and Physical Education

University of Wollongong Copyright Warning You may print or download ONE copy of this document for the purpose of your own research or study. The University does not authorise you to copy, communicate or otherwise make available electronically to any other person any copyright material contained on this site. You are reminded of the following: This work is copyright. Apart from any use permitted under the Copyright Act 1968, no part of this work may be reproduced by any process, nor may any other exclusive right be exercised, without the permission of the author. Copyright owners are entitled to take legal action against persons who infringe their copyright. A reproduction of material that is protected by copyright may be a copyright infringement. A court may impose penalties and award damages in relation to offences and infringements relating to copyright material. Higher penalties may apply, and higher damages may be awarded, for offences and infringements involving the conversion of material into digital or electronic form. Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.
Assessing the flow liquefaction susceptibility of cyclone underflow material

It has been recognised worldwide that the liquefaction risk of unconstrained tailings stacks or cyclone underflow embankments requires careful consideration. The stability of a tailings deposit where the perimeter embankments are made up of hydraulic fill is often governed by post-liquefaction stability. Apart from Australia, cyclones are frequently used in different parts of the world to classify tailings into a coarse underflow, for building a tailings impoundment wall, and a finer fraction that is disposed of into the basin. The shear strength of the tailings forming the outer embankment of a tailings storage facility and the location of the phreatic surface are the two most significant factors influencing the structural integrity of the facility. The coarse underflow is placed in such a way as to contain the overflow, which is finer, has low strength, and is often poorly consolidated. Golder Associates Pty Ltd undertook a cyclone field trial at a gold mine site in Western Australia to assess the feasibility of using the cyclone deposition method to optimise and increase the capacity of an existing tailings cell. The aim of the cyclone trial was to collect information to demonstrate to the client and the regulators that cyclone deposition was a feasible option for raising TSF embankments. The cyclone trial provided an opportunity to assess the cyclone under field conditions and to assess the quantity and quality of the underflow fraction produced on site. A variety of methods were used to assess the flow liquefaction susceptibility of the tailings underflow sample produced during the cyclone field trial. The field trial, laboratory testing and analysis will be discussed in this paper.
Dopamine and Alcohol Dependence: From Bench to Clinic

Alcohol dependence, a chronic relapsing psychiatric disorder, is a major cause of mortality and morbidity. The role of dopamine in alcohol‐induced reward as well in the development of alcohol dependence is reviewed herein. Both preclinical and clinical studies have suggested that alcohol activates the mesolimbic dopamine system (defined as a dopamine projection from the ventral tegmental area (VTA) to the nucleus accumbens (NAc, i.e. ventral striatum)) leading to a euphoric sensation. Alcohol dependence is characterized by a disruption in the reward‐related brain areas including fewer dopamine D2 receptors in ventral striatum. Investigations of the underlying dopaminergic mechanisms involved during the development and maintenance of alcohol dependence could identify novel targets. Human and rodent experimental studies show that dopamine receptor antagonists, agonists and partial agonists as well as dopamine stabilizers influencing dopamine transmission, alter alcohol‐mediated behaviours and thus may be potential treatment targets for alcohol dependence. Although there exists promising preclinical results, the majority of placebo‐controlled randomized clinical trials with traditional dopamine antagonists and agonists have so far have been discouraging. Furthermore, the severe side-effect profiles of many of these compounds may limit their clinical use. Newer dopamine agents, such as partial agonists and dopamine stabilizers, attenuate alcohol‐mediated behaviours in rodents as well as humans. Preclinical as well as clinical studies have shown that substances indirectly targeting the mesolimbic dopamine system may be potential targets for attenuation of alcohol reward. Collectively, the data reviewed herein may contribute to further understanding the complex mechanisms involved in development of alcohol dependence and we suggest that the newer dopamine agents as well as indirect modulators of dopamine signalling deserve to be further evaluated for treatment of alcohol dependence. © 2016 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
M ay 2 00 7 Sufficient conditions for convergence of the Sum-Product Algorithm

We derive novel conditions that guarantee convergence of th e Sum-Product algorithm (also known as Loopy Belief Propaga tion or simply Belief Propagation) to a unique fixed point, irresp ctive of the initial messages. The computational complexi ty of the conditions is polynomial in the number of variables. In cont ras with previously existing conditions, our results are d irectly applicable to arbitrary factor graphs (with discrete varia bles) and are shown to be valid also in the case of factors cont aini g zeros, under some additional conditions. We compare our bou nds with existing ones, numerically and, if possible, analy tically. For binary variables with pairwise interactions, we derive sufficient conditions that take into account local evidence (i. . single variable factors) and the type of pair interactions (attrac ive or repulsive). It is shown empirically that this bound o utperforms existing bounds.
Incorporation of Mg, Sr, Ba, U, and B in High‐Mg Calcite Benthic Foraminifers Cultured Under Controlled pCO2

Measurement of elemental ratios (E/Ca) has been performed in two symbiont‐bearing species of high‐Mg calcite benthic foraminifers (hyaline, Baculogypsina sphaerulata and porcelaneous, Amphisorus hemprichii), cultured under five pCO2 levels, representing preindustrial, modern, and three predicted future values. E/Ca ratios were analyzed by Laser Ablation coupled with Inductively Coupled Plasma Mass Spectrometer (LA‐ICP‐MS). We measured several E/Ca, such as Mg/Ca, Sr/Ca, Ba/Ca, U/Ca, and B/Ca simultaneously. We observed that high‐Mg calcite benthic foraminifers possess higher E/Ca than low‐Mg calcite foraminifers, irrespective of their calcification mode (hyaline or porcelaneous). In both modes of calcification, Mg, Sr, Ba, U, and B incorporation could be controlled by Rayleigh fractionation. However, more data are needed to validate and quantify the relative importance of this process and closely investigate the presence/absence of other mechanism. Therefore, it highlights the need for a multielemental approach when looking at trace element incorporation. Finally, no significant relationship was observed between the different ratios and the pCO2 of the water, suggesting that none of the Mg/Ca, Sr/Ca, Ba/Ca, U/Ca, and B/Ca is sensitive to bottom water pCO2 or pH for these species.
Enhancement of Vigour Status through Micronutrient Priming and Humid Invigouration in Sesame

Oilseeds shows quicker deterioration leading to loss of seed vigour and viability, which can be improved through priming and fortification techniques. This study was aimed to assess the effect of micronutrient priming and humid invigouration technique in sesame. The duration of soaking for priming treatment was fixed by soaking the seeds for durations viz., 8, 10, 12, 14 and 16 h. In this the best duration was subjected to humid invigouration for durations viz., 0, 3, 6, 9, 12 and 15 h. Then the durations standardized earlier were subjected to micronutrient (ZnSO4 and MnSO4) priming of concentrations viz., 0.25, 0.5 and 1 %. The results revealed that seeds soaking with MnSO4 0.5 % for 12 h and followed by humid invigouration of 9 h was effective in increasing germination (22.7 %), radical protrusion (54 %), shoot length (36.4 %), root length (78 %), dry matter production (63.5 %) and vigour index (92 %) over the control.
Impacts of pesticide use practices and gender on cowpea productivity of smallholder farmers in Benin

Cowpea has a considerable potential to contribute to the food security and livelihoods of African smallholder farmers. Yet, cowpea yields in Africa are among the lowest in the world and one possible explanation for the yield gap is cowpea’s high vulnerability to insect pest attacks. Pesticides have been widely acknowledged as the most effective method of controlling pests and cowpea farmers often apply them excessively and indiscriminately while continuing to incur drastic yield losses. This paper uses an IV model specification to quantify the impact of pesticide use practices and gender on cowpea productivity in Benin. To obtain true causal estimates for pesticide impacts on productivity, this paper uses the spatial autocorrelation in farmers’ pesticide use data to general spatial lag variables that along with pesticide cost per unit, meet the criteria of valid and relevant instruments in the IV model. Among the key findings of this thesis is that pesticide use has an unambiguous positive impact on cowpea productivity. Despite its positive impact on yield, combining pesticide use with other pesticide use practices leads to mixed results implying that some of farmers’ existing practices may not be appropriate in minimizing crop losses. It is therefore reasonable for policy-makers and other stakeholders to invest resources in educating farmers on appropriate pesticide use practices. Women farmers in Benin have a crucial role in cowpea production both as laborers and decision-makers. Yet, the overall findings appear to point to a gender-based productivity gap in cowpea production that can only partially be explained by women’s pesticide use practices and unequal access to production inputs.
BBN's Systems for the Chinese-English Sub-task of the NTCIR-9 PatentMT Evaluation

This paper describes the work we conducted for building a statistical machine translation (SMT) system for the ChineseEnglish sub-task of the NTCIR-9 patent machine translation (MT) evaluation [17]. We first applied the various techniques on patent data that we had developed for improving SMT performance on other types of data. Our results show that most of the techniques work on patent document translation as well. Second we made changes to our SMT system training in order to address special characteristics of patent documents. The changes produced additional improvements.
Detecting prominent objects for image retrieval

This paper presents a novel method for detecting objects in natural images in a non-restricted domain. Our purpose here is to capture meaningful information in terms of user semantics on the visual level for efficient image retrieval. The major obstacle in developing such methods is the difficulty of accurately segmenting the image into its prominent regions. To overcome this difficulty, we developed a vector-valued inhomogeneous diffusion model that uses multiple features. In this model, we define the gradient threshold and thus the conductance parameter as a function of the texture and/or color gradient varying by evolving diffusion. The method is evaluated for 20,000 natural images taken by both professionals and amateurs and it is proved to be very robust and effective for obtaining sufficient region-based image description and thus facilitating intelligent and user-friendly image retrieval applications.
Long term delivery of pulsed magnetic fields does not improve learning or alter dendritic spine density in the mouse hippocampus [version 1; peer review: 2 approved]

Repetitive transcranial magnetic stimulation (rTMS) is thought to facilitate brain plasticity. However, few studies address anatomical changes following rTMS in relation to behaviour. We delivered 5 weeks of daily pulsed rTMS stimulation to ephrin-A2 -/- and wildtype mice (n=10 per genotype) undergoing a visual learning task and analysed learning performance, as well as spine density, in the dentate gyrus molecular and CA1 pyramidal cell layers in Golgi-stained brain sections. We found that neither learning behaviour, nor hippocampal spine density was affected by long term rTMS. Our negative results highlight the lack of deleterious side effects in normal subjects and are consistent with previous studies suggesting that rTMS has a bigger effect on abnormal or injured brain substrates than on normal/control structures. This is a well written paper describing the effects (or lack thereof) of rTMS over 5 weeks in wildtype and ephrin-a2 knockout (KO) mice. The data are clearly presented in a usable format and are discussed appropriately. The initial referee Antoni Valero-Cabre, who is an expert in TMS and neuro-stimulation, has already extensively covered the key points, both positive and negative. I am therefore only going to make a few additional comments. abstract should ideally the findings of the precisely, for example: This is an outstandingly planned and well-executed study that shows that the rodent brain, after a daily 10 minute exposure to low field pulsed magnetic stimulation for 5 weeks (i.e. 35 sessions) exhibits null effects on learning behavior and hippocampus dendritic spine density in both Wild Type and Ephrine A2-/- mice. The effort of the authors deserves a lot of credit, as studies like this one are extremely hard, long and laborious to perform and the possibility of significant results always uncertain. In spite of the current null results, this kind of work is greatly needed in the field of non-invasive brain stimulation in order to
Persistent Environmental Stress Delayed the Recovery of Marine Communities in the Aftermath of the Latest Permian Mass Extinction

The aftermath of the latest Permian mass extinction is a key interval for the evolution of modern marine ecosystems. It has been hypothesized that the magnitude of the mass extinction delayed the subsequent recovery, and so to test this, we undertook the highest resolution study to date of the post‐extinction (Griesbachian) microbialite unit on the Great Bank of Guizhou, south China. The benthic community from the microbialite unit is taxonomically diverse when compared to other coeval deposits, recording both inarticulate and articulate brachiopods, crinoids, echinoids, bivalves, gastropods, microconchids, and ostracods. Here we recognize 49 taxa from 4,557 individuals, which raise the known diversity of the Great Bank of Guizhou basal microbialite unit to 84 invertebrate species, making it the most diverse Early Triassic community currently reported. About 89% of the genera are Permian holdovers, whilst only 13% of the species are Permian holdovers. These new data record no temporal trends in the species richness, Simpson diversity, Simpson effective diversity, taxonomic distinctness, functional diversity, or body size of the benthos during the post‐extinction microbialite unit. Nevertheless, the small body sizes of the benthic community, prevalence of opportunistic taxa (e.g., Claraia), and the large lophophoral cavity in the lingulid brachiopod, Sinolingularia huananensis, suggests that these animals lived in a highly stressed environment. We propose that the microbialite unit contains a survival fauna in an interval that represents persistent environmental stress from the latest Permian mass extinction event, associated with deoxygenation, high temperatures, elevated atmospheric carbon dioxide levels (pCO2), and elevated primary productivity.
A Forecast of the Adoption of Wearable Technology

s (LISA); MediaFinder; The Standard Periodical Directory; Ulrich’s Periodicals Directory Copyright The International Journal of Technology Diffusion (IJTD) (ISSN 1947-9301; eISSN 1947-931X), Copyright © 2015 IGI Global. All rights, including translation into other languages reserved by the publisher. No part of this journal may be reproduced or used in any form or by any means without written permission from the publisher, except for noncommercial, educational use including classroom teaching purposes. Product or company names used in this journal are for identifi cation purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. The views expressed in this journal are those of the authors but not necessarily of IGI Global. RESEARCH ARTICLES 1 On the Effi ciency of Grey Modeling in Early-Stage Technological Diffusion Forecasting Charisios Christodoulos, National and Kapodistrian University of Athens, Athens, Greece Christos Michalakelis, Harokopio University of Athens, Athens, Greece Thomas Sphicopoulos, National and Kapodistrian University of Athens, Athens, Greece 12 A Forecast of the Adoption of Wearable Technology Tom Page, Loughborough University, Loughborough, UK 30 Attributes for Executing Change in an Agile Information System Pankaj Chaudhary, Eberly College of Business and Information Technology, Indiana University of Pennsylvania, Indiana, PA, USA Micki Hyde, Eberly College of Business and Information Technology, Indiana University of Pennsylvania, Indiana, PA, USA James A Rodger, Eberly College of Business and Information Technology, Indiana University of Pennsylvania, Indiana, PA, USA 59 Building a Customer Inquiry Database System Shameem Akhter, Western Oregon University, Monmouth, OR, USA Nayem Rahman, Portland State University, Portland, OR, USA Table of