Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy and Safety of Anthelmintics Tested against Taenia solium Cysticercosis in Pigs

Porcine cysticercosis, an infection caused by Taenia solium metacestodes, is continuously being reported in low-income countries of Latin America, Asia, and sub-Saharan Africa. The disease was declared eradicable by the International Task Force for Diseases Eradication (ITFDE) in 1993, and it is listed among the 17 WHO Neglected Tropical Diseases and Neglected Zoonoses that are potentially eradicable. In view of that, WHO has proposed a step-wise approach to its elimination, including chemotherapy of infected pigs. Different drugs have been tested on porcine cysticercosis with varying efficacies. These include flubendazole, fenbendazole, albendazole, albendazole sulphoxide, oxfendazole, praziquantel, and nitazoxanide. This review summarises available information on the efficacies and adverse effects shown by these drugs in pigs. Oxfendazole has shown to be effective for the control of porcine cysticercosis; however, it needs to be integrated with other control approaches. There is a need for standardised guidelines for evaluating the efficacy of anthelmintics against porcine cysticercosis, and more efficacy studies are needed since the conclusions so far are based on a limited number of studies using few infected pigs.
Political Climate, Optimism, and Investment Decisions

We show that people's optimism towards financial markets and the macroeconomy is dynamically influenced by their political affiliation and the existing political climate. Individuals become more optimistic and perceive the markets to be less risky and more undervalued when their own party is in power. These shifts in perceptions of risk and reward affect investors' portfolio decisions. Specifically, when the political climate is aligned with their political identity, investors increase allocations to risky assets and exhibit a stronger preference for high market beta, small-cap, and value stocks. Due to these portfolio reallocations, investors improve their raw portfolio performance when their own party is in power, but the improvement in risk-adjusted performance is economically small.
A QuikSCAT climatology of tropical cyclone size

QuikSCAT data of near‐surface wind vectors for the years 1999–2008 are used to create a climatology of tropical cyclone (TC) size, defined as the radius of vanishing winds. The azimuthally‐averaged radius of 12 ms−1 wind (r12) is calculated for a subset of TCs (N = 2154) whose centers of circulation were clearly identifiable via subjective analysis of the QuikSCAT‐analyzed wind field. The outer radius, r0, is determined from r12 using an outer wind structure model that assumes no deep convection beyond r12. The global median values of r12 and r0 are 197 km and 423 km, respectively, with statistically significant variation across ocean basins. The global distribution of r12 is found to be approximately log‐normal, the distribution of r0 is quantitatively much closer to log‐normal, and the improvement in fit between r12 and r0 is attributed to the combined effect of the nature of the model employed and the paired distributions of r12 and f. Moreover, the normalization employed by Dean et al. (2009) is found to weaken rather than improve the log‐normal fit. Finally, within a given storm, both r12 and r0 tend to expand very slowly with time early in the storm lifecycle and then becomes quasi‐constant, though significant variance exists across storms.
Why risk management matters in IT outsourcing - A systematic literature review and elements of a research agenda

Within information systems the design science research (DSR) paradigm aims at the development of useful artifacts, e.g. models or methods, with which relevant IS problems can be solved. In analogy to the engineering discipline construction processes have been proposed for DSR. Although different phases of such construction processes are explicated in several articles, contributions are missing that propose patterns/principles that support the constructor during the different phases of the construction process. Vaishnavi and Kuechler (2007) address this issue by proposing DSR patterns. Their contribution is a substantial one; however, it does not include comparable pattern approaches from the engineering discipline for the foundation of the proposed patterns. Bearing in mind that DSR has its roots in engineering, it is important to analyze so called problem solving patterns from engineering and to compare them to the DSR patterns. Using this as a basis, it is our research goal to examine whether it is possible to expand the existing DSR patterns to include patterns from engineering. As a result, 14 additional DSR patterns are proposed which originate from engineering, have not been discussed so far, but promise to be useful for DSR in information systems.
Functional grouping of genes using spectral clustering and Gene Ontology

With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data the need for a functional grouping of genes arises. In this paper, we propose a new method based on spectral clustering for the partitioning of genes according to their biological function. The functional information is based on Gene Ontology annotation, a mechanism to capture functional knowledge in a shareable and computer processable form. Our functional cluster method promises to automates, speed up and therefore improve biological data analysis.
Crystal Growth and Spectroscopic Investigations of Tm3+:Li3Ba2Gd3(MoO4)8 Crystal

Tm3+:Li3Ba2Gd3(MoO4)8 crystal has been grown by the top seeded solution growth (TSSG) method from a Li2MoO4 flux. The room temperature polarized absorption spectra, fluorescence spectra, and fluorescence decay curves of the crystal were measured. Based on the Judd-Ofelt (J-O) theory, the main spectroscopic parameters of the crystal, including the spontaneous emission probabilities, fluorescence branching ratios, and radiative lifetimes were calculated and analyzed. The broad and strong absorption bands of the crystal show that it can be efficiently pumped by the diode laser, while the large emission cross-sections of the 3F4 → 3H6 transition indicate that the crystal is a promising candidate for tunable and short pulse lasers.
Climatic Fluctuations , Drought , and Flow in the Colorado River Basin

precipitation with elevation. Cold frontal systems produce substantial amounts of snow above about 5,000 feet and rainfall at lower elevations in the Rocky, Uinta, and Wind River Mountains, which constitute the headwaters of the Colorado River and its principal tributary, the Green River. These storms build snowpacks that melt in the late spring, providing runoff to the Colorado River. Warm winter storms, which may tap moisture from the tropical Pacific Ocean, may produce rainfall on snowpacks, resulting in high runoff and floods on major rivers. The frequency and moisture content of frontal systems are strongly affected by atmospheric circulation patterns and sea-surface temperature (SST) of the tropical and North Pacific Oceans. Moisture delivered to the Colorado River basin during summer typically is a mixture of moist air from Introduction
Prediction of Prospective User Engagement with Intelligent Assistants

Intelligent assistants on mobile devices, such as Siri, have recently gained considerable attention as novel applications of dialogue technologies. A tremendous amount of real users of intelligent assistants provide us with an opportunity to explore a novel task of predicting whether users will continually use their intelligent assistants in the future. We developed prediction models of prospective user engagement by using large-scale user logs obtained from a commercial intelligent assistant. Experiments demonstrated that our models can predict prospective user engagement reasonably well, and outperforms a strong baseline that makes prediction based past utterance frequency.
The role of correlations in the collective behaviour of microswimmer suspensions

Joakim Stenhammar,1, ∗ Cesare Nardini,2, 3, 4, † Rupert W. Nash,5 Davide Marenduzzo,3 and Alexander Morozov3, ‡ Division of Physical Chemistry, Lund University, P.O. Box 124, S-221 00 Lund, Sweden DAMTP, Centre for Mathematical Sciences, Wilberforce Road, Cambridge, CB3 0WA, United Kingdom SUPA, School of Physics and Astronomy, The University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, United Kingdom Service de Physique de l’État Condensé, CNRS UMR 3680, CEA-Saclay, 91191 Gif-sur-Yvette, France EPCC, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, United Kingdom (Dated: September 1, 2018)
The AXES submissions at TRECVID 2013

The AXES project participated in the interactive instance search task (INS), the semantic indexing task (SIN) the multimedia event recounting task (MER), and the multimedia event detection task (MED) for TRECVid 2013. Our interactive INS focused this year on using classifiers trained at query time with positive examples collected from external search engines. Participants in our INS experiments were carried out by students and researchers at Dublin City University. Our best INS runs performed on par with the top ranked INS runs in terms of P@10 and P@30, and around the median in terms of mAP. For SIN, MED and MER, we use systems based on state-of-the-art local low-level descriptors for motion, image, and sound, as well as high-level features to capture speech and text and the visual and audio stream respectively. The low-level descriptors were aggregated by means of Fisher vectors into high-dimensional video-level signatures, the high-level features are aggregated into bag-of-word histograms. Using these features we train linear classifiers, and use early and late-fusion to combine the different features. Our MED system achieved the best score of all submitted runs in the main track, as well as in the ad-hoc track. This paper describes in detail our INS, MER, and MED systems and the results and findings of our experiments.
Rhetorical relations in multimodal documents

We present a corpus-based study of coherence in multimodal documents. We concern ourselves with the types of relationships between graphs and tables and the text of the document in which they appear. In order to understand and categorize the types of relations across modalities, we are making use of Rhetorical Structure Theory (Mann and Thompson, 1988), and propose that this can adequately describe these types of relations. We analyzed a corpus comprising three different genres, and consisting of about 1500 pages of material and almost 600 figures, tables and graphs. We show that figures stand in both presentational and subject matter relations to the text, and that the relationship between figures and text is one of a small set out of the larger possible rhetorical relations. We also discuss several issues that arise in the treatment of multimodal material, such as the potential for multiple connections between figure and text.
Conditional Neural Movement Primitives

Conditional Neural Movement Primitives (CNMPs) is a learning from demonstration framework that is designed as a robotic movement learning and generation system built on top of a recent deep neural architecture, namely Conditional Neural Processes (CNPs). Based on CNPs, CNMPs extract the prior knowledge directly from the training data by sampling observations from it, and uses it to predict a conditional distribution over any other target points. CNMPs specifically learns complex temporal multi-modal sensorimotor relations in connection with external parameters and goals; produces movement trajectories in joint or task space; and executes these trajectories through a high-level feedback control loop. Conditioned with an external goal that is encoded in the sensorimotor space of the robot, predicted sensorimotor trajectory that is expected to be observed during the successful execution of the task is generated by the CNMP, and the corresponding motor commands are executed. In order to detect and react to unexpected events during action execution, CNMP is further conditioned with the actual sensor readings in each time-step. Through simulations and real robot experiments, we showed that CNMPs can learn the nonlinear relations between low-dimensional parameter spaces and complex movement trajectories from few demonstrations; and they can also model the associations between high-dimensional sensorimotor spaces and complex motions using large number of demonstrations. The experiments further showed that even the task parameters were not explicitly provided to the system, the robot could learn their influence by associating the learned sensorimotor representations with the movement trajectories. The robot, for example, learned the influence of object weights and shapes through exploiting its sensorimotor space that includes proprioception and force measurements; and be able to change the movement trajectory on the fly when one of these factors were changed through external intervention.
Users' service quality satisfaction and performance improvement of ERP consultant selections

Recently, companies have developed Enterprise Resource Planning (ERP) systems. ERP systems will integrate business processes and provide information. However, successful ERP implementation is costly and requires a long time to complete. Companies usually use outside consultants to ensure a successful ERP project. ERP consultant selection is a difficult task for an ERP project implementation. This study examined the users' service quality satisfaction in the ERP consultant selection and investigated performance improvement of ERP systems. We illustrated how to apply the Analytical Hierarchy Process (AHP) to set priority weights for consultant alternatives in order to solve the ERP consultant selection problems.
European Identity and Redistributive Preferences

How important is spatial identity in shifting preferences for redistribution? This paper takes advantage of within-country variability in the adoption of a single currency as an instrument to examine the impact of the rescaling of spatial identity in Europe. We draw upon data from the last three decades of waves of the European Values Survey and we examine the impact of joining the single currency on preferences for redistribution. Our instrumentation strategy relies on using the exogenous effect of joining a common currency, alongside a battery of robustness checks and alternative instruments. Our findings suggest that joining the euro has a boosting effect on European identity; an opposite and comparable effect is found for national pride. We find that European identity increases preferences for redistribution, and that national pride exerts an equivalent reduction in preferences for redistribution.
AdS 3 solutions of IIB supergravity from D3-branes

We consider pure D3-brane configurations of IIB string theory which lead to supersymmetric solutions containing an AdS3 factor. They can provide new examples of AdS3/CFT2 duality pairs on D3-branes whose worldvolume is partially compactified. When the internal 7 dimensional space is non-compact, they can be identified as supersymmetric fluctuations of higher dimensional AdS solutions and are in general dual to 1/8-BPS operators thereof. We find that supersymmetry requires the 7 dimensional space take the form of a warped U(1) fibration over a 6 dimensional Kahler manifold.
A Myeloid Cell Population Induced by Freund Adjuvant Suppresses T-cell−mediated Antitumor Immunity

Although adjuvants are important components of vaccines, few studies have been conducted to establish the criteria on adjuvant selection and to investigate mechanisms of adjuvant actions during vaccination. Here we found that complete Freund adjuvant (CFA) induced a CD11b+ cell population in a B-cell independent manner. This cell population exhibited strong ability to inhibit T-cell−mediated rejection of tumor transplants. In vitro studies indicated that these cells induced T-cell apoptosis and down-regulated interferon-γ production. Nitric oxide (NO) played important roles to achieve these effects. Plenty of NO was produced by these CFA-induced CD11b+ cells. The addition of NG-nitro-L-arginine-methyl ester, an inhibitor of NO synthase, rescued T cells from apoptosis and partially abrogated the detrimental effects of CFA in cancer vaccines. Incomplete Freund adjuvant, one of the adjuvants still being used in clinical trials, also induced a similar cell population. Our results reveal a previously unknown mechanism in which the myeloid cell population induced by Freund adjuvant impairs antitumor immunity, and highlight the importance of adjuvant selection during tumor vaccination.
Entrepreneurship and Economic Freedom: Do Objective and Subjective Data Reflect the Same Tendencies?

Objective : The research question is whether the same tendencies on entrepreneurship, innovation and economic freedom can be captured by subjective (Global Entrepreneurship Monitor) and objective (Index of Economic Freedom) data â€“ and to which extent one can classify countries by different data sources in a theoretical framework based on the national competitiveness of each country. Research, Design & Methods : Main method used is the direct discriminant analysis. Since this approach has shortcomings, selected variables from an exhaustive CHAID analysis were used to predict the degree of economic freedom of the country based on the answers of experts. Findings: To determine the degree of economic freedom in a country, the effective enforcement of intellectual property rights legislation and quick access to utilities are the two variables with the most informational content. 86,8% of the original grouped cases was classified correctly â€“ this is above the widely accepted threshold of 75%. Implications & Recommendations: A new trend in entrepreneurial research is to build compound indices based on different data sources. It is important to understand whether parts of a compound index reflect the same tendencies. This paper gives formal empirical evidence supporting this hypothesis. Contribution & Value Added: Coduras and Autio (2013) define a research program on Global Entrepreneurship Monitor, where they suggest that GEM shall be tested against objective data sources such as Index of Economic Freedom. This was the main aim of the analysis, which closes a research gap defined in this research program.
Forage Trees and Shrubs in Australia

Forage Trees and Shrubs in Australia – their current use and future potential Publication No. 02/039 Project No. UWA 53A The views expressed and the conclusions reached in this publication are those of the author and not necessarily those of persons consulted. RIRDC shall not be responsible in any way whatsoever to any person who relies in whole or in part on the contents of this report. In submitting this report, the researcher has agreed to RIRDC publishing this material in its edited form. Foreword Trees and shrubs have long been considered an important source of nutrition for grazing animals in Australia, particularly in the arid and semi-arid areas with a pronounced dry season. Over the last two decades there has been increased interest in planting forage trees and shrubs in the agricultural regions for improved animal production and environmental protection. In 1999, RIRDC commissioned a study of the commercial prospects for planted woody species in the low rainfall zones of Australia (RIRDC Publication No 99/152). The study examined commercial prospects for wood products, energy, essential oils and fodder. Trees and shrubs for fodder emerged as having promising commercial prospects. This publication surveys the current extent and use of cultivated forage trees and shrubs in Australia, the state of research and development, and the potential for expansion. It also examines the desirability, feasibility, and scope of a national fodder tree selection R&D program This report, a new addition to RIRDC's diverse range of over 700 research publications, forms part of our Agroforestry and Farm Trees R&D program, which aims to integrate sustainable and productive agroforestry within Australian farming systems. Most of our publications are available for viewing, downloading or purchasing online through our website: This study found that there are currently some 200 000 ha of cultivated forage trees and shrubs in Australia. The vast majority of this area is planted to three species, Leucaena (Leucaena leucocephala), Tagasaste (Chamaecytisus proliferus) and Saltbush (Atriplex spp.). Of this total, an estimated 100 000 ha is planted to Tagasaste in south western and southern Australia, 50 000 ha to Leucaena in the subtropical north east, and 50 000 ha to various Atriplex species on salt affected land in Western Australia, South Australia, Victoria and New South Wales. In addition to this, the study identified a small area, estimated to be less than 10 000 ha, planted to other species, predominantly Acacia saligna. The …
Modelling Heterogeneity Using Complex Sparsity

This paper provides a framework for modelling common types of heterogeneity (e.g. temporally or spatially varying effects). It relies on a stylized view of the unobserved heterogeneity as being well-represented by distinct groups of units that share the same effect. To estimate those groups, it relies on prior knowledge to guide group formation and thus allows researchers to ensure that the estimated heterogeneity reflects their substantive knowledge. The key methodological innovation is modelling this heterogeneity using a novel Bayesian prior that facilitates tractable inference. Improving on existing approaches, this allows for easy quantification of uncertainty and estimation of non-linear models. I also derive a method for point inference that is markedly fasted than existing implementations. Simulations and re-examination of published research shows that it more effectively controls for unobserved heterogeneity than existing approaches and qualifies the substantive conclusions of existing research.
AGRICULTURAL TRADE REFORM AND POVERTY IN THE ASIA-PACIFIC REGION : A SURVEY AND SOME NEW RESULTS

We review the literature on the relationship between agricultural trade policy reform and poverty, and the results of recent detailed simulation studies applied to economies in the Asia-Pacific region. We then use the Global Trade Analysis Project model to evaluate the possible impacts of the most recently proposed modalities for agricultural trade reform under Doha on the economies of the Asia-Pacific region, which we compare to a benchmark of comprehensive agricultural trade reform. The current proposal does not result in significant cuts to applied tariffs, and has very modest overall effects on welfare. Average poverty in the region would decrease overall, but the distribution across countries is uneven. By contrast, comprehensive agricultural trade reform, with developing economies fully engaged, tends to benefit most economies in the region in the aggregate, and consistently lowers poverty.