bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detecting aphid predation by earwigs in organic citrus orchards using molecular markers
Authors: Romeu-Dalmau C. , Piñol J. , Agustí N. 
Published: March 2012

AbstractAphids (Hemiptera: Aphidoidea) can damage citrus trees via direct damage to leaves and flowers or via the indirect transmission of viruses. Predators such as the European earwig,Forficula auriculariaLinnaeus (Dermaptera: Forficulidae), may assist in keeping aphid populations under control in citrus orchards. Group-specific primers were developed to detect aphid DNA in earwigs, in order to determine earwig predation rates in aphids in Mediterranean organic citrus trees. These primers were designed in accordance with the alignment of comparable sequences of aphids and earwigs, and they amplified a 224 bp fragment of the mitochondrial cytochromecoxidase subunit I (COI) region. Following the consumption of three to fiveAphis spiraecolaPatch, aphid DNA was still detectable in 50% of earwigs one day after the ingestion. When predation was evaluated in the field, aphid DNA was detected in earwigs in May, June and July but not in April and August. The most interesting result is that of May, when aphid abundance was very low but 30% of the earwigs tested positive for aphid DNA. This finding suggests that earwigs are important aphid predators in citrus orchards, as they probably alter aphid dynamics as a result of early seasonal pressure on this pest.
Drug delivery in the nasal cavity after functional endoscopic sinus surgery: a computational fluid dynamics study
Authors: Chen X B , Lee H P , Chong V F H , Wang D Y 
Published: March 2012

AbstractBackground:Intranasal medication is commonly used for nasal disease. However, there are no clear specifications for intranasal medication delivery after functional endoscopic sinus surgery.Methods:A three-dimensional model of the nasal cavity was constructed from computed tomography scans of an adult Chinese male who had previously undergone functional endoscopic sinus surgery in the right nasal cavity. Computational fluid dynamic simulations modelled airflow and particle deposition, based on discrete phase models.Results:In the right nasal cavity, more particles passed through the upper dorsal region, around the surgical area, and streamed into the right maxillary sinus region. In the left cavity, particles were distributed more regularly and uniformly in the ventral region around the inferior turbinate. A lower inspiratory airflow rate and smaller initial particle velocity assisted particle deposition within the right maxillary sinus cavity. In the right nasal cavity, the optimal particle diameter was approximately 10−5m for maxillary sinus cavity deposition and 3 × 10−6 m for bottom region deposition. In the right nasal cavity, altered back head tilt angles enhanced particle deposition in the top region of the surgical area, and altered right side head tilt angles helped enhance maxillary sinus cavity deposition.Conclusion:This model indicates that a moderate inspiratory airflow rate and a particle diameter of approximately 10−5 m should improve intranasal medication deposition into the maxillary sinus cavity following functional endoscopic sinus surgery.
Epistemic restraint and the vice of curiosity
Authors: Manson Neil C. 
Published: March 2012

AbstractIn recent years there has been wide-ranging discussion of epistemic virtues. Given the value and importance of acquiring knowledge this discussion has tended to focus upon those traits that are relevant to the acquisition of knowledge. This acquisitionist focus ignores or downplays the importance of epistemic restraint: refraining from seeking knowledge. In contrast, in many periods of history, curiosity was viewed as a vice. By drawing upon critiques ofcuriositasin Middle Platonism and Early Christian philosophy, we gain useful insights into the value and importance of epistemic restraint. The historical discussion paves the way for a clarification of epistemic restraint, one that distinguishes the morally relevant features of epistemicprocess, content, purpose, andcontext. Epistemic restraint is identified as an important virtue where our epistemic pursuits pose risks and burdens, where such pursuits have opportunity costs, where they are pursued for vicious purposes. But it is in the social realm where epistemic restraint has most purchase: epistemic restraint is important both becauseprivacyis important and becausebeing trustedare important. Finally, some suggestions are offered as to why epistemic restraint has not received the contemporary attention that it deserves.
Morphological awareness in Chinese: Unique associations of homophone awareness and lexical compounding to word reading and vocabulary knowledge in Chinese children
Authors: LIU PHIL D. , MCBRIDE-CHANG CATHERINE , WONG TERRY T.-Y. , SHU HUA , WONG ANITA M.-Y. 
Published: March 2012

ABSTRACTAn in-depth exploration of the associations of two aspects of morphological awareness in Chinese—homophone awareness and lexical compounding awareness—to Chinese word reading and vocabulary knowledge was the primary focus of the present study. Among 154 9-year-old Hong Kong Chinese children, both lexical compounding and homophone awareness were significantly associated with word reading (r = .54 for compounding, r = .38 for homophones) and vocabulary knowledge (r = .41 for compounding, r = .53 for homophones). However, with autoregressors additionally statistically controlled, homophone awareness remained uniquely associated with vocabulary but not word reading; lexical compounding was uniquely associated with both word reading and vocabulary. Path analyses best illustrated this pattern. Both morphological awareness constructs are likely bidirectionally associated with word reading and vocabulary knowledge. However, homophone awareness is more centrally associated with vocabulary knowledge because it taps specific, existing morpheme knowledge. In contrast, lexical compounding requires structural understanding of one's language, which seems to be helpful for both learning to read and vocabulary acquisition in Chinese.
Learning Political Science with Prediction Markets: An Experimental Study
Authors: Ellis Cali Mortenson , Sami Rahul 
Published: March 2012

AbstractPrediction markets are designed to aggregate the information of many individuals to forecast future events. These markets provide participants with an incentive to seek information and a forum for interaction, making markets a promising tool to motivate student learning. We carried out a quasi-experiment in an introductory political science class to study the effect of prediction markets on student engagement with the course topics. Although we found no significant improvement in students' enthusiasm or extent of topical reading, we did find that those students who were already reading broadly at the course start were more likely to trade actively in the markets. These findings indicate that prediction markets may be most successful as an education tool in settings, like graduate education, where individuals are already knowledgeable about the topics of the market, instead of an introductory learning context.
ERD-MedLDA: Entity relation detection using supervised topic models with maximum margin learning
Authors: LI DINGCHENG , SOMASUNDARAN SWAPNA , CHAKRABORTY AMIT 
Published: March 2012

AbstractThis paper proposes a novel application of topic models to do entity relation detection (ERD). In order to make use of the latent semantics of text, we formulate the task of relation detection as a topic modeling problem. The motivation is to find underlying topics that are indicative of relations between named entities (NEs). Our approach considers pairs of NEs and features associated with them as mini documents, and aims to utilize the underlying topic distributions as indicators for the types of relations that may exist between the NE pair. Our system, ERD-MedLDA, adapts Maximum Entropy Discriminant Latent Dirichlet Allocation (MedLDA) with mixed membership for relation detection. By using supervision, ERD-MedLDA is able to learn topic distributions indicative of relation types. Further, ERD-MedLDA is a topic model that combines the benefits of both, maximum likelihood estimation (MLE) and maximum margin estimation (MME), and the mixed-membership formulation enables the system to incorporate heterogeneous features. We incorporate different features into the system and perform experiments on the ACE 2005 corpus. Our approach achieves better overall performance for precision, recall, and F-measure metrics as compared to baseline SVM-based and LDA-based models. We also find that our system shows better and consistent improvements with the addition of complex informative features as compared to baseline systems.
Special issue on statistical learning of natural language structured input and output
Authors: MÀRQUEZ LLUÍS , MOSCHITTI ALESSANDRO 
Published: March 2012

AbstractDuring last decade, machine learning and, in particular, statistical approaches have become more and more important for research in Natural Language Processing (NLP) and Computational Linguistics. Nowadays, most stakeholders of the field use machine learning, as it can significantly enhance both system design and performance. However, machine learning requires careful parameter tuning and feature engineering for representing language phenomena. The latter becomes more complex when the system input/output data is structured, since the designer has both to (i) engineer features for representing structure and model interdependent layers of information, which is usually a non-trivial task; and (ii) generate a structured output using classifiers, which, in their original form, were developed only for classification or regression. Research in empirical NLP has been tackling this problem by constructing output structures as a combination of the predictions of independent local classifiers, eventually applying post-processing heuristics to correct incompatible outputs by enforcing global properties. More recently, some advances of the statistical learning theory, namely structured output spaces and kernel methods, have brought techniques for directly encoding dependencies between data items in a learning algorithm that performs global optimization. Within this framework, this special issue aims at studying, comparing, and reconciling the typical domain/task-specific NLP approaches to structured data with the most advanced machine learning methods. In particular, the selected papers analyze the use of diverse structured input/output approaches, ranging from re-ranking to joint constraint-based global models, for diverse natural language tasks, i.e., document ranking, syntactic parsing, sequence supertagging, and relation extraction between terms and entities. Overall, the experience with this special issue shows that, although a definitive unifying theory for encoding and generating structured information in NLP applications is still far from being shaped, some interesting and effective best practice can be defined to guide practitioners in modeling their own natural language application on complex data.
Oceanic response to midlatitude Rossby waves aloft and its feedback in the lower atmosphere in winter Northern Hemisphere
Authors: Kim Kwang‐Yul , Na Hanna , Jhun Jong‐Gap 
Published: March 2012

Midlatitude Rossby waves substantiated in the upper tropospheric (300–200 hPa) potential vorticity field exert significant influences on surface conditions. The physical changes associated with the propagation of Rossby waves are investigated from a climatological perspective, particularly over the oceans. Detailed analysis quantitatively shows that the passing of positive Rossby waves with cyclonic vortexes increases net shortwave and longwave radiation over an ocean's surface by promoting a clearer sky condition. Further, the reduced humidity and temperature above the sea surface increases latent and sensible heat fluxes. The increased latent and sensible heat fluxes, in turn, induce secondary atmospheric circulation, characterized by anticyclonic and divergent motion in the lower atmospheric layer above the sea surface. Although the increased latent and sensible heat fluxes may change sea surface temperatures, the complexity of ocean dynamics with complicated land–ocean configurations and the mismatch of the temporal and spatial scales of atmospheric and oceanic motions smears the footprint of Rossby waves.
Ammonia sources in the California South Coast Air Basin and their impact on ammonium nitrate formation
Authors: Nowak J. B. , Neuman J. A. , Bahreini R. , Middlebrook A. M. , Holloway J. S. , McKeen S. A. , Parrish D. D. , Ryerson T. B. , Trainer M. 
Published: March 2012

Observations from the NOAA WP‐3D aircraft during CalNex in May and June 2010 are used to quantify ammonia (NH3) emissions from automobiles and dairy facilities in the California South Coast Air Basin (SoCAB) and assess their impact on particulate ammonium nitrate (NH4NO3) formation. These airborne measurements in the SoCAB are used to estimate automobile NH3 emissions, 62 ± 24 metric tons day−1, and dairy facility NH3 emissions, 33 ± 16 to 176 ± 88 metric tons day−1. Emission inventories agree with the observed automobile NH3:CO emission ratio, but substantially underpredict dairy facility NH3 emissions. Conditions observed downwind of the dairy facilities were always thermodynamically favorable for NH4NO3 formation due to high NH3 mixing ratios from the concentrated sources. Although automobile emissions generated lower NH3 mixing ratios, they also can thermodynamically favor NH4NO3 formation. As an aerosol control strategy, addressing the dairy NH3 source would have the larger impact on reducing SoCAB NH4NO3 formation.
First observations of 4fce auroral roar emissions
Authors: Sato Y. , Ono T. , Sato N. , Ogawa Y. 
Published: March 2012

This is a report on the first observations of auroral roar emissions near 4 times the ionospheric electron cyclotron frequency (fce) with a passive receiver installed in Svalbard, Norway. 4fce roar emissions were detected from 5.27 to 5.70 MHz during moderate geomagnetic disturbances in 22 days between May and September 2011 only from noon to evening, while no event occurred during the winter season. An analysis of a typical event shows that the electron density profile measured from EISCAT Svalbard dynasonde satisfies the condition that the upper frequency of the 4fce roar is nearly equal to both upper hybrid resonance frequency (fUH) and 4fce at 238‐km altitude. These observations support the idea expanded from the most commonly‐accepted generation mechanism of 2fce and 3fce roar: the origin of 4fce roar is upper hybrid waves favorably generated under the condition of fUH ∼ 4fce in the auroral F‐region ionosphere.
Towards a Process Domain‐Sensitive Substrate Habitat Model for Sea Lampreys in Michigan Rivers
Authors: Neeson Thomas M. , Adlerstein Sara A. , Wiley Michael J. 
Published: March 2012

AbstractHabitat mapping is a common and often useful tool in the ecological management of rivers. The complex nature of fluvial processes, however, makes it difficult to predict the reach‐scale distribution of substrate habitat from landscape‐scale covariates. An option is to identify and partition a data set on boundaries of geomorphic process domains, within which the globally complex relationships between landscape, climate, and instream habitat may potentially be approximated by a simpler model. In this study, we used regression trees as a machine learning method for partitioning and identifying useful strata in a geographically extensive substrate habitat model for larvae of the sea lamprey Petromyzon marinus, an invasive and economically harmful species in the Laurentian Great Lakes. We used field survey data from over 5,000 substrate habitat transects collected in 43 watersheds of the Lower Peninsula of Michigan, and we created a geographic database of geographical information systems‐derived covariates that represent the principal geomorphic influences on substrate habitat. We created three trees in which tree splits delineated (1) spatially contiguous units, (2) noncontiguous units defined by values of the covariates, and (3) both contiguous and noncontiguous units. The adjusted R2 values of the three trees were 0.30, 0.30, and 0.32, respectively, and all three trees outperformed a single model fitted to the entire data set and a set of models fitted to each watershed individually. The trees identified useful stratifications of Michigan's Lower Peninsula, important geomorphic influences on substrate habitat, and variation in the influence of geomorphic processes on substrate habitat across our study region. Conservation and management applications of our model predictions and tree‐based stratifications include sea lamprey population modeling, habitat survey design, and evaluation of dam removal.
Exploring Latent Mortality of Juvenile Salmonids Related to Migration through the Columbia River Hydropower System
Authors: Sandford Benjamin P. , Zabel Richard W. , Gilbreath Lyle G. , Smith Steven G. 
Published: March 2012

AbstractThe ability to manage anthropogenic actions that affect the dynamics of animal populations requires the identification and understanding of life‐stage‐specific mortality. This understanding can be confounded when the expression of mortality is removed, in time or space, from its cause. For years, researchers studying endangered Snake River spring–summer Chinook salmon Oncorhynchus tshawytscha have debated the magnitude of mortality that is related to—but expressed after—passage through the Snake and Columbia River hydropower system (“latent” mortality). We conducted experiments with Chinook salmon to assess the magnitude of latent mortality from two sources: passage through juvenile bypass structures at dams, and transportation with larger juvenile steelhead O. mykiss present in the barge holds. Nearly 129,000 juvenile Chinook salmon (passive integrated transponder tagged) were exposed to different treatment conditions during downstream migration. Study fish were then held in seawater tanks for up to 223 d, and time to mortality was noted for each individual that died. We analyzed survival patterns by using statistical procedures for time‐to‐event data (i.e., survival analysis). Differential survival between treatment groups was taken to indicate latent mortality caused by the specific treatment. We used a nonparametric Kaplan–Meier analysis to visualize survival patterns and a parametric logistic regression analysis to model the effects of multiple factors. Chinook salmon that were transported with steelhead had significantly lower survival than those that were transported alone. However, there was little evidence for differential latent mortality between Chinook salmon that were not detected at the bypass systems of five dams along the migration route and those that were detected at two to five bypass systems. Our application of survival analyses to individuals subjected to various treatments and held for extended periods produced an effective combination that can be used to test for latent mortality; these results may serve as an initial assessment for further conservation investigations and as a guide to more‐targeted research.
Mentoring Rhetoric's Historians
Authors: Mountford Roxanne 
Published: March 2012

ABSTRACT
This response article focuses on the goals for research stated and implied in the contributors' work, comparing them with the goals of earlier generations of scholars in the history of rhetoric. Through mentoring, scholars pass on both the strengths and limitations of the field, which are then “embodied” by the next generation. One impulse remains constant: to enrich the field by identifying new sites for rhetorical investigation.
Audit and Feedback to Reduce Broad-Spectrum Antibiotic Use among Intensive Care Unit Patients A Controlled Interrupted Time Series Analysis
Authors: Elligsen Marion , Walker Sandra A. N. , Pinto Ruxandra , Simor Andrew , Mubareka Samira , Rachlis Anita , Allen Vanessa , Daneman Nick 
Published: March 2012

Objective.We aimed to rigorously evaluate the impact of prospective audit and feedback on broad-spectrum antimicrobial use among critical care patients.Design.Prospective, controlled interrupted time series.SettingSingle tertiary care center with 3 intensive care units.Patients and Interventions.A formal review of all critical care patients on their third or tenth day of broad-spectrum antibiotic therapy was conducted, and suggestions for antimicrobial optimization were communicated to the critical care team.Outcomes.The primary outcome was broad-spectrum antibiotic use (days of therapy per 1000 patient-days; secondary outcomes included overall antibiotic use, gram-negative bacterial susceptibility, nosocomial Clostridium difficile infections, length of stay, and mortality.Results.The mean monthly broad-spectrum antibiotic use decreased from 644 days of therapy per 1,000 patient-days in the preintervention period to 503 days of therapy per 1,000 patient-days in the postintervention period (P < .0001); time series modeling confirmed an immediate decrease (± standard error) of 119 ± 37.9 days of therapy per 1,000 patient-days (P = .0054). In contrast, no changes were identified in the use of broad-spectrum antibiotics in the control group (nonintervention medical and surgical wards) or in the use of control medications in critical care (stress ulcer prophylaxis). The incidence of nosocomial C. difficile infections decreased from 11 to 6 cases in the study intensive care units, whereas the incidence increased from 87 to 116 cases in the control wards (P = .04). Overall gram-negative susceptibility to meropenem increased in the critical care units. Intensive care unit length of stay and mortality did not change.Conclusions.Institution of a formal prospective audit and feedback program appears to be a safe and effective means to improve broad-spectrum antimicrobial use in critical care.
Synthesis and investigations on CO catalytic oxidation activity of nanostructured Ce0.5Zr0.5O2 prepared by combustion method using polyvinyl alcohol
Authors: Nhiem Dao Ngoc , Dai Luu Minh 
Published: March 2012

Abstract
Nanostructured Ce
0.5
Zr
0.5
O
2 samples were synthesized by the combustion of the gel obtained from a mixture of polyvinyl alcohol (PVA) and metal nitrates at a temperature as low as 600 °C. The prepared samples were investigated by x-ray diffraction (XRD) and field emission scanning electron microscopy (FE-SEM). Their specific surface areas were determined from N
2 adsorption measurement at 77 K by Brunauer–Emmet–Teller (BET) method and their CO catalytic oxidation activities were investigated using a Landcom II instrument. The XRD and FE-SEM results revealed that Ce
0.5
Zr
0.5
O
2 nanocrystallines began to grow isotropically at 600 °C with the nanostructure found in all prepared samples. Further thermal treatment at 600 °C for 2 h yields the single crystalline phase Ce
0.5
Zr
0.5
O
2 nanostructured samples with average crystalline size < 50 nm and specific surface area of about 73 m
2
g
−1. Besides, the effects of a number of factors such as calcination temperature and Ce/Zr molar ratio on the formation of prepared samples as well as the oxidative conversion of carbon monoxide over nanostructured Ce
0.5
Zr
0.5
O
2 catalyst were also studied.