Miracle-dz/UniFAR-FTUs huggingface dataset:
biological control of olive fruit fly (Diptera: Tephritidae) by releases of Psyttalia cf. concolor (Hymenoptera: braconidae) in california, parasitoid longevity in presence of the Host, and Host status of Walnut Husk fly

The larval parasitoid, Psyttalia cf. concolor, collected from tephritids infesting coffee in Kenya and reared on Mediterranean fruit fly, Ceratitis capitata Weidemann, in Guatemala by USDA-APHIS, PPQ, was imported into California for biological control of olive fruit fly, Bactrocera oleae (Gmelin), in olives, Olea europaea. Free releases of the parasitoids were made in olive trees infested with olive fruit fly at a coastal and inland valley location during the fall and early winter of 2005. The relative humidity during the releases was significantly higher at the coastal location. Mean percentage parasitism ranged from 0.5 to 4 and 1.5 to 30 at the coastal and inland valley locations respectively, based on same season recovery of the F 1 generation. One parasitoid was found in infested olives in the next crop of the following year in San Jose. Survival of the parasitoid in the greenhouse in the presence of olive fruit fly infested olives was not significantly different than in the presence of non-infested olives. The greatest number of progeny was produced from female parasitoids that were 12-16 d old. In laboratory tests, a few individuals of the parasitoid successfully completed one life cycle in walnut husk fly, Rhagoletis completa Cresson, infested English walnuts, Juglans regia L.
An Examination of Asset Mispricing in a Simple One-Asset Market

A framework is developed that allows the use of various valuation methods and pricing schemes. The framework is then applied to two simple one-asset models. These models are analyzed to see how changing valuations and the existence of cognitive biases such as an endowment effect and an availability heuristic can affect future prices. Instead of searching for an equilibrium and proving its stability this paper examines what causes deviations from equilibrium. Additionally, a stochastic differential equation is developed to model how group populations change over time, such as noise trader populations, and to introduce evolution into a simple model. Graphs of the stochastic differential equation are presented and are used to examine whether arbitrageurs can eliminate noise traders from the market. The key features of this thesis are the application of ideas in new ways and the discussion of current and suggested methods in the literature. Document Type Thesis Distinguished Thesis Yes Degree Name Bachelor of Arts (BA) Department or Program Economics First Advisor Jeffrey Sundberg Second Advisor DeJuran Richardson Third Advisor Kent Grote
Optical band gap and thermal diffusivity of polypyrrole-nanoparticles decorated reduced graphene oxide nanocomposite layer

A polypyrrole-nanoparticles reduced graphene oxide nanocomposite layer was prepared using electrochemical method. The prepared samples were characterized using Fourier transform infrared spectroscopy, field emission scanning electron microscopy, and UV-visible spectroscopy. The band gap of nanocomposite layers was calculated from UV-visible spectra and the thermal diffusivity of layers was measured using a photoacoustic technique. As experimental results, the optical band gap was in the range between 3.580 eV and 3.853 eV, and thermal diffusivity was increased with increasing the layer thickness from 2.873 cm2/s to 12.446 cm2/s.
Potential anti-diabetic activity of Bombax ceiba

Bombax ceiba bark extract was evaluated for its hypoglycemic and hypolipide-mic potential through normal and streptozotocin-induced diabetic rats administered with graded oral doses (200, 400, 600 mg/kg/day) for 21 days. The results showed that a dose of 600 mg/kg of B. ceiba extract is the most effective to cause significant (p<0.001) hypoglycemic and/or hypolipidemic effects on streptozotocin-induced diabetic rats. This dose also significant-ly (p<0.001) lowered the total cholesterol and triglyceride level in severely diabetic rats. Phytochemical and GC-MS studies confirmed the presence of the triterpenoid compounds in the extract, which may account for its significant hypoglycemic activity. The present study thus provides a scientific rationale for the traditional use of this plant in the management diabetes.
Multiple Features Based Approach to Extract Bio-molecular Event Triggers Using Conditional Random Field

The purpose of Biomedical Natural Language Processing (BioNLP) is to capture biomedical phenomena from textual data by extracting relevant entities, information and relations between biomedical entities (i.e. proteins and genes). In general, in most of the published papers, only binary relations were extracted. In a recent past, the focus is shifted towards extracting more complex relations in the form of bio-molecular events that may include several entities or other relations. In this paper we propose an approach that enables event trigger extraction of relatively complex bio-molecular events. We approach this problem as a detection of bio-molecular event trigger using the well-known algorithm, namely Conditional Random Field (CRF). We apply our experiments on development set. It shows the overall average recall, precision and F-measure values of 64.27504%, 69.97559% and 67.00429%, respectively for the event detection.
Constituting Gender Roles through the Transitivity Choice in Commodity Advertising - A Critical Discourse Approach

Based on Fairclough’s three-dimensional model of Critical Discourse Analysis and guided by gender theories and focusing on an advertisement of Motorola’s cellular phone as a case study, this study explores the construction of gender roles through Transitivity choice in commodity advertising. After a detailed description, interpretation and explanation of the gender roles encoded in the advertising text, this study gets the following findings: 1) Ideological conceptions and social consciousness can be expressed in a text through verbal presentation and also revealed through the arrangement of linguistic devices or resources like Transitivity processes. 2) Influenced by current gender ideology, commodity advertisements tend to represent women with strong desires for self-fulfilment. 3) The advertising of a magic product which can help fulfil a woman’s self can stimulate women’s desire for its purchase and thus promote its sale. 5) The construction of gender roles through linguistic choice in commodity advertising can infuse or indoctrinates new concepts of gender roles into people’s mind. Hopefully, this essay can improve people’s awareness of how ideology is encoded in linguistic devices and how ideology controls the choice of linguistic resources.
Short-term processing of ice algal- and phytoplankton-derived carbon by Arctic benthic communities revealed through isotope labelling experiments

Benthic ecosystems play a significant role in the carbon (C) cycle through remineralization of organic matter reaching the seafloor. Ice algae and phytoplankton are major C sources for Arctic benthic consumers, but climate change-mediated loss of summer sea ice is predicted to change Arctic marine primary production by increasing phytoplankton and reducing ice algal contributions. To investigate the impact of changing algal C sources on benthic C processing, 2 isotope tracing experiments on 13C-labelled ice algae and phytoplankton were conducted in the North Water Polynya (NOW; 709 m depth) and Lancaster Sound (LS; 794 m) in the Canadian Arctic, during which the fate of ice algal (CIA) and phytoplankton (CPP) C added to sediment cores was traced over 4 d. No difference in sediment community oxygen consumption (SCOC, indicative of total C turnover) between the background measurements and ice algal or phytoplankton cores was found at either site. Most of the processed algal C was respired, with significantly more CPP than CIA being released as dissolved inorganic C at both sites. Macroinfaunal uptake of algal C was minor, but bacterial assimilation accounted for 33−44% of total algal C processing, with no differences in bacterial uptake of CPP and CIA found at either site. Overall, the total processing (i.e. assimilation and respiration) of CPP was 33 and 37% higher than processing of CIA in NOW and in LS, respectively, suggesting that the future changes in quality of organic matter sinking to the seafloor could impact the C residence time at the seafloor.
Preparation of InSe Thin Films by Thermal Evaporation Method and Their Characterization: Structural, Optical, and Thermoelectrical Properties

The indium selenium (InSe) bilayer thin films of various thickness ratios, InxSe(1-x) (x = 0.25, 0.50, 0.75), were deposited on a glass substrate keeping overall the same thickness of 2500 Ǻ using thermal evaporation method under high vacuum atmosphere. Electrical, optical, and structural properties of these bilayer thin films have been compared before and after thermal annealing at different temperatures. The structural and morphological characterization was done using XRD and SEM, respectively. The optical bandgap of these thin films has been calculated by Tauc’s relation that varies within the range of 1.99 to 2.05 eV. A simple low-cost thermoelectrical power measurement setup is designed which can measure the Seebeck coefficient “S” in the vacuum with temperature variation. The setup temperature variation is up to 70°C. This setup contains a Peltier device TEC1-12715 which is kept between two copper plates that act as a reference metal. Also, in the present work, the thermoelectric power of indium selenide (InSe) and aluminum selenide (AlSe) bilayer thin films prepared and annealed in the same way is calculated. The thermoelectric power has been measured by estimating the Seebeck coefficient for InSe and AlSe bilayer thin films. It was observed that the Seebeck coefficient is negative for InSe and AlSe thin films.
Probabilistic Segmentation of Folk Music Recordings

The paper presents a novel method for automatic segmentation of folk music field recordings. The method is based on a distance measure that uses dynamic time warping to cope with tempo variations and a dynamic programming approach to handle pitch drifting for finding similarities and estimating the length of repeating segment. A probabilistic framework based on HMM is used to find segment boundaries, searching for optimal match between the expected segment length, between-segment similarities, and likely locations of segment beginnings. Evaluation of several current state-of-the-art approaches for segmentation of commercial music is presented and their weaknesses when dealing with folk music are exposed, such as intolerance to pitch drift and variable tempo. The proposed method is evaluated and its performance analyzed on a collection of 206 folk songs of different ensemble types: solo, two- and three-voiced, choir, instrumental, and instrumental with singing. It outperforms current commercial music segmentation methods for noninstrumental music and is on a par with the best for instrumental recordings. The method is also comparable to a more specialized method for segmentation of solo singing folk music recordings.
Current status of DLR's new F-SAR sensor

The Microwaves and Radar Institute of the German Aerospace Center (DLR) is known for its consistent work on the field of airborne synthetic aperture radar and its application. Currently, the institute is developing a new advanced airborne SAR system, the F-SAR, which is planned to fully replace the older E-SAR system in the next years. The development of F-SAR was triggered by the demand for data being simultaneously acquired at different wavelengths and polarisations as well as by the demand for very high range resolution, which could not anymore be fulfilled in all cases by the E-SAR. Currently, even though the system is still under heavy development, parts of the instrument are reaching a pre-operational stage. This paper should give an overview over the current status and performance of the system, including results from various flight campaigns during the last couple of months. In particular, this paper focuses on the newly integrated realtime processing unit for SAR and GMTI modes and F-SAR? s real-time down-link capabilities over a laser transmission line. Additionally, new results of X-band step-frequency mode with 750MHz chirp bandwidth will be shown.
DESIGN TO UTILIZE SOCIAL MEDIA DATA TO IMPROVE E-COMMERCE BUSINESS

A tremendous increase in the involvement in online shopping of products by the people has been become noteworthy these recent years. So the count of e-commerce sites also increased noticeably. This has been resulted in competition between different e-commerce sites. One of the ways of improving any business is by providing appropriate advertisements to the appropriate customers. The proposed framework tries to improve the individualized product recommendation from e-commerce site to its very new users who does not have any account as well as previous product purchase records or product view records in e-commerce site. To achieve the purpose solution makes use of demographic information and friend’s network information available on social media site.
Pre-test Breathing Instructions Increase Perceptions of Respiratory Countermeasures

Thirteen experienced Texas Department of Public Safety examiners participated in a study of the potential effects of pre-test breathing instructions on examiners’ impressions of respiratory countermeasures and artifacts in the polygraph recordings. Data were obtained from 60 field examinations, where half included a pre-test breathing instruction. Judgments of both respiratory artifacts and countermeasures were found to have low reliability. Nevertheless, a significant and undesirable impact of instructions on the perceptions of both artifacts and countermeasures was observed. Breathing instructions resulted in a greater proportion of blind evaluator reports of artifacts and countermeasures. Field practices, assumptions, and policies pertaining to pre-test instructions about breathing during testing should be considered in light of these data. These results underscore the importance of evidence-based field practice policies, and the potential hazards associated with well-intended field practice policies derived in the absence of evidence.
The development of the regional coupled ocean-atmosphere model RCAO

A regional coupled ocean-atmosphere-ice general circulation model for northern Europe is introduced for climate study purposes. The Baltic Sea is interactively coupled. The coupled model is validated in a 5-year hind-cast experiment with a focus on surface quantities and atmosphere-ocean heat fluxes. The coupled sea surface temperature matches observations well. The system is free of drift, does not need flux corrections and is suitable for multi-year climate runs. With flux forcing from the atmospheric model the regional ocean model gives sea surface temperatures statistically equivalent to the uncoupled ocean model forced by observations. Other oceanic surface quantities do not reach this quality in combination with the current atmosphere model. A strong dependence of sea ice extent on details of the atmospheric radiation scheme is found. Our standard scheme leads to an overestimation of ice, most likely due to a negative bias of long-wave radiation. There is indication that a latent heat flux bias in fall contributes to the ice problem. Other atmosphere-ocean heat fluxes are generally realistic in the long term mean.
Web engineering in practice: a development case

The development of large scale web systems requires a systematic and well-defined process to ensure quality and measurability - both in the process and in the product-, maintainability and reusability. Hypermedia/web engineering methods should provide mechanisms to deal with all the system features in a progressive, flexible and integrated way so that they can be put in practice without disturbing the project goals nor comprising its success. In this paper we describe how we did apply the ADM web engineering method in the ARCE project, why we decided to go for a web engineering approach and the main benefits of this approach.
Cross-Country Spillovers from Fiscal Consolidations

In many OECD countries, government debt reached levels over recent years that call for reduction over the medium to longer term to ensure public finance sustainability. This paper investigates the international transmission of fiscal consolidation shocks via trade flows. Using a measure of exogenous fiscal shocks in export markets, fiscal consolidation spillovers are found to slow domestic growth and decrease employment. When fiscal consolidation efforts are synchronised across partner countries, fiscal policies have large spillover effects on output. Spillovers of fiscal consolidations on growth are found to be initially larger between countries belonging to currency unions, though this larger impact vanishes over the medium term. Larger spillovers of fiscal consolidation coincide with stronger shifts in bilateral trade flows in currency unions in the short term, despite smaller adjustments in relative exchange rates. Spillovers of fiscal consolidation are also found to be more detrimental to domestic growth during economic downturns in export markets.
An Improved Metric Learning Approach for Degraded Face Recognition

To solve the matching problem of the elements in different data collections, an improved coupled metric learning approach is proposed. First, we improved the supervised locality preserving projection algorithm and added the within-class and between-class information of the improved algorithm to coupled metric learning, so a novel coupled metric learning method is proposed. Furthermore, we extended this algorithm to nonlinear space, and the kernel coupled metric learning method based on supervised locality preserving projection is proposed. In kernel coupled metric learning approach, two elements of different collections are mapped to the unified high dimensional feature space by kernel function, and then generalized metric learning is performed in this space. Experiments based on Yale and CAS-PEAL-R1 face databases demonstrate that the proposed kernel coupled approach performs better in low-resolution and fuzzy face recognition and can reduce the computing time; it is an effective metric method.
The terrestrial carbon budget of South and Southeast Asia

Accomplishing the objective of the current climate policies will require establishing carbon budget and flux estimates in each region and county of the globe by comparing and reconciling multiple estimates including the observations and the results of top-down atmospheric carbon dioxide (CO2) inversions and bottom-up dynamic global vegetation models. With this in view, this study synthesizes the carbon source/sink due to net ecosystem productivity (NEP), land cover land use change (ELUC), fires and fossil burning (EFIRE) for the South Asia (SA), Southeast Asia (SEA) and South and Southeast Asia (SSEA = SA + SEA) and each country in these regions using the multiple top-down and bottom-up modeling results. The terrestrial net biome productivity (NBP = NEP – ELUC – EFIRE) calculated based on bottom-up models in combination with EFIRE based on GFED4s data show net carbon sinks of 217 ± 147, 10 ± 55, and 227 ± 279 TgC yr−1 for SA, SEA, and SSEA. The top-down models estimated NBP net carbon sinks were 20 ± 170, 4 ± 90 and 24 ± 180 TgC yr−1. In comparison, regional emissions from the combustion of fossil fuels were 495, 275, and 770 TgC yr−1, which are many times higher than the NBP sink estimates, suggesting that the contribution of the fossil fuel emissions to the carbon budget of SSEA results in a significant net carbon source during the 2000s. When considering both NBP and fossil fuel emissions for the individual countries within the regions, Bhutan and Laos were net carbon sinks and rest of the countries were net carbon source during the 2000s. The relative contributions of each of the fluxes (NBP, NEP, ELUC, and EFIRE, fossil fuel emissions) to a nation’s net carbon flux varied greatly from country to country, suggesting a heterogeneous dominant carbon fluxes on the country-level throughout SSEA.
GTS LÈVY MODEL ON TECHNOLOGY OF FINANCIAL ENGINEERING

Classic stable Lèvy models have intrinsic drawbacks when applied on datas from engineering or financial technology. The generalized tempered stable Lèvy (GTS) models overcome the drawbacks. The parameters in GTS capture many characteristics and features of financial datas (such as big or small, positive or negative jumps of financial assets). GTS models are flexible for different periods of financial markets. Then C-GMM estimation method is applicable to obtain the parameters. From the parameters, we can see the difference of many aspects between the datas from different market periods.
Knowledge and Beliefs Concerning Development and Income Inequality in China and the United States

This paper investigates the knowledge and beliefs of ordinary people in China and the United States about levels and trends in societal development and income inequality. We also investigate whether individual Chinese and Americans believe that development and inequality are positively or negatively interrelated. Our paper is guided by the hypothesis that people’s views about development and income inequality are affected by the international dissemination of information and ideas about these topics and by actual trends in development and inequality in a person’s country. Our data come from three surveys in the United States and two surveys in China conducted in 2006 and 2007. These data show that people in both countries perceive an international hierarchy of countries on development that is very similar to the development hierarchy of the United Nations Human Development Index. These data also show that in both countries there is little correspondence between respondent views of income inequality and the actual levels of inequality in countries. Our analyses also indicate that both Americans and Chinese perceive positive links between levels of development and income inequality, with the relationships more pronounced in China than in the U.S. The majority of people in both countries perceive development programs as increasing the levels of income inequality.
Production of lightning NOx and its vertical distribution calculated from three‐dimensional cloud‐scale chemical transport model simulations

[1] A three-dimensional (3-D) cloud-scale chemical transport model that includes a parameterized source of lightning NOx on the basis of observed flash rates has been used to simulate six midlatitude and subtropical thunderstorms observed during four field projects. Production per intracloud (PIC) and cloud-to-ground (PCG) flash is estimated by assuming various values of PIC and PCG for each storm and determining which production scenario yields NOx mixing ratios that compare most favorably with in-cloud aircraft observations. We obtain a mean PCG value of 500 moles NO (7 kg N) per flash. The results of this analysis also suggest that on average, PIC may be nearly equal to PCG, which is contrary to the common assumption that intracloud flashes are significantly less productive of NO than are cloud-to-ground flashes. This study also presents vertical profiles of the mass of lightning NOx after convection based on 3-D cloud-scale model simulations. The results suggest that following convection, a large percentage of lightning NOx remains in the middle and upper troposphere where it originated, while only a small percentage is found near the surface. The results of this work differ from profiles calculated from 2-D cloud-scale model simulations with a simpler lightning parameterization that were peaked near the surface and in the upper troposphere (referred to as a “C-shaped” profile). The new model results (a backward C-shaped profile) suggest that chemical transport models that assume a C-shaped vertical profile of lightning NOx mass may place too much mass near the surface and too little in the middle troposphere.