Miracle-dz/UniFAR-FTUs huggingface dataset:
LIST OF APPENDICES Appendix A : Main Regressions Considering Experience Exporting in Sector

With a wide dataset of Peruvian firms that exported to the United States between 2006 and 2013, this paper attempts to measure the impact of the Free Trade Agreement signed by Peru and the United States on the dynamics of Peruvian exporters, by reorienting the analysis on sequential exporting, focusing now on product diversification, and incorporating the issue of trade liberalisation. This research tests whether new Peruvian exporters to the US are more likely to intensify their participation in that market, and whether trade liberalisation boosts even more such behaviour. Firms with one-year experience in the US market grow more at the intensive and extensive margin than more experienced firms; but absolute beginners are more likely to stop exporting a product to the US, and have a disadvantage in the intensive margin. Trade liberalisation, expressed as a tariff reduction by USA through a bilateral Free Trade Agreement, intensifies many of these dynamics. That boost in the intensive margin is more evident in small and medium firms. However, trade liberalisation seems to hamper new firms' growth in the extensive margin, except for large firms.
Compressive Visual Question Answering by Li-chi Huang A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved August 2017 by the Graduate Supervisory Committee: Pavan Turaga, Chair

Compressive sensing theory allows to sense and reconstruct signals/images with lower sampling rate than Nyquist rate. Applications in resource constrained environment stand to benefit from this theory, opening up many possibilities for new applications at the same time. The traditional inference pipeline for computer vision sequence reconstructing the image from compressive measurements. However,the reconstruction process is a computationally expensive step that also provides poor results at high compression rate. There have been several successful attempts to perform inference tasks directly on compressive measurements such as activity recognition. In this thesis, I am interested to tackle a more challenging vision problem Visual question answering (VQA) without reconstructing the compressive images. I investigate the feasibility of this problem with a series of experiments, and I evaluate proposed methods on a VQA dataset and discuss promising results and direction for future work.
Synchrotron nano-diffraction study of thermally 2 treated asbestos tremolite 3

Nowadays, due to the adverse health effects associated with exposure to asbestos, its 15 removal and thermal inertization has become one of the most promising ways for reducing waste 16 risk management. Despite all the advances in structure analysis of fibers and characterization, some 17 problems still remain that are very hard to solve. One challenge is the structure analysis of natural 18 microand nanocrystalline samples, which do not form crystals large enough for single-crystal X-ray 19 diffraction (SC-XRD), and their analysis is often hampered by reflection overlap and the coexistence 20 of multiple fibres linked together. 21 In this paper, we have used nano-focused synchrotron X-rays to refine the crystal structure of a 22 micrometric tremolite fibres from Val d’Ala, Turin (Italy) after various heat treatment. The structure 23 of the original fibre and after heating to 800 °C show minor differences while the fibre that was heated 24 at 1000 °C is recrystallized into pyroxene phases and cristobalite. 25
Determination of crude saponin and total flavonoids content in guar meal

Saponins and flavonoids have received considerable attention due to their beneficial effects on animal and human health. In the present study, the crude saponin was extracted from guar [Cyamopsis tetragonoloba (L.) Taub] meal and the total flavonoid content in guar meal was determined by two different spectroscopic methods; oxidation of flavonoids by ceric sulfate [Ce (IV)] and complexed by aluminum chloride using quercetin as flavonoid standard. Results obtained from this study showed that the average concentration of crude saponin (saponin rich guar meal extract) was 6.2 ± 0.7% dry matter of guar meal. However, the average total flavonoid contents determined in guar meal were 0.28 ± 0.01 mg and 0.21 ± 0.01 mg/g for Ce (IV) method and aluminum chloride method, respectively. Results obtained in this study can be useful to nutraceutical, pharmaceutical utilization and can provide additional information about crude saponin and flavonoid concentration in guar meal especially for populations consuming guar bean.
ANATOMY OF A POST-STARBURST MINOR MERGER: A MULTI-WAVELENGTH WFC3 STUDY OF NGC 4150

We present a spatially resolved near-UV/optical study, using the Wide Field Camera 3 (WFC3) on board the Hubble Space Telescope, of NGC 4150, a sub-L*, early-type galaxy (ETG) of around 6 × 109 M☉, which has been observed as part of the WFC3 Early-Release Science Programme. Previous work indicates that this galaxy has a large reservoir of molecular hydrogen gas, exhibits a kinematically decoupled core (a likely indication of recent merging) and strong, central Hβ absorption (indicative of young stars). While relatively uninspiring in its optical image, the core of NGC 4150 shows ubiquitous near-UV emission and remarkable dusty substructure. Our analysis shows this galaxy to lie in the near-UV green valley, and its pixel-by-pixel photometry exhibits a narrow range of near-UV/optical colors that are similar to those of nearby E+A (post-starburst) galaxies and lie between those of M83 (an actively star-forming spiral) and the local quiescent ETG population. We parameterize the properties of the recent star formation (RSF; age, mass fraction, metallicity, and internal dust content) in the NGC 4150 pixels by comparing the observed near-UV/optical photometry to stellar models. The typical age of the RSF is around 0.9 Gyr, consistent with the similarity of the near-UV colors to post-starburst systems, while the morphological structure of the young component supports the proposed merger scenario. The typical RSF metallicity, representative of the metallicity of the gas fuelling star formation, is ∼0.3–0.5 Z☉. Assuming that this galaxy is a merger and that the gas is sourced mainly from the infalling companion, these metallicities plausibly indicate the gas-phase metallicity (GPM) of the accreted satellite. Comparison to the local mass–GPM relation suggests (crudely) that the mass of the accreted system is ∼3 × 108 M☉, making NGC 4150 a 1:20 minor merger. A summation of the pixel RSF mass fractions indicates that the RSF contributes ∼2%–3% of the stellar mass. This work reaffirms our hypothesis that minor mergers play a significant role in the evolution of ETGs at late epochs.
Genetic variability and population structure in loci related to milk production traits in native Argentine Creole and commercial Argentine Holstein cattle

Many cattle breeds have been subjected to high selection pressure for production traits. Consequently, population genetic structure and allelic distribution could differ in breeds under high selection pressure compared to unselected breeds. Analysis of k-casein, aS1-casein and prolactin gene frequencies was made for Argentine Creole (AC) and Argentine Holstein (AH) cattle herds. The calculated FST values measured the degree of genetic differentiation of subpopulations, depending on the variances of gene frequencies.The AC breed had considerably more variation among herds at the aS1-casein and k-casein loci. Conservation strategies should consider the entire AC population in order to maintain the genetic variability found in this native breed.
Inferring Stop-Locations from WiFi Wind

Human mobility patterns are inherently complex. In terms of understanding these patterns, the process of converting raw data into series of stop-locations and transitions is an important first step which greatly reduces the volume of data, thus simplifying the subsequent analyses. Previous research into the mobility of individuals has focused on inferring ‘stop locations’ (places of stationarity) from GPS or CDR data, or on detection of state (static/ active). In this paper we bridge the gap between the two approaches: we introduce methods for detecting both mobility state and stop-locations. In addition, our methods are based exclusively on WiFi data. We study two months of WiFi data collected every two minutes by a smartphone, and infer stop-locations in the form of labelled time-intervals. For this purpose, we investigate two algorithms, both of which scale to large datasets: a greedy approach to select the most important routers and one which uses a density-based clustering algorithm to detect router fingerprints. We validate our results using participants’GPS data as well as ground truth data collected during a two month period.
The infl uence of dietary soyabean and linseed on the chemical composition and fatty acid profi le of the Longissimus muscle of feedlot-fi nished bulls

This work was carried out to evaluate the effect of soya and linseed on the chemical composition and fatty acid profi le of the Longissimus muscle of crossbred bulls fi nished in feedlot. Twenty-one crossbred bulls (1/2 Nelore vs 1/2 Simmenthal), at an average age of 18 months were used in a completely randomized design, with three treatments and seven repetitions. The dietary treatments were: control (CON), linseed and soyabean (SOYA), and soyabean and linseed added after the 60th day of the experiment (LIN). No difference (P>0.05) was observed among the treatments on the chemical composition of the Longissimus muscle. The values of conjugated linoleic acid (18:2-c-9, t-11) were higher (P<0.05) in the LIN (0.39%) and SOYA (0.46%) treatment, as compared with the CON treatment (0.26%). n-3 PUFA values were higher (P<0.05) in the LIN treatment (1.58%) as compared with the CON treatment (0.83%).
Having a child: a penalty or bonus for mother's and father's employment in Europe

In this paper, we aim to study the impact of the presence of young children in the home on mother's and father's employment patterns. The results show that motherhood has an important and negative impact on labour market participation both in terms of part-time and inactivity and the child effect decreases with the age of the youngest child. As far as men are concerned, regression results show that the link between fatherhood and men's hours worked tends to be reversed in comparison with women (fathers work more hours than their childless counterparts) and suggest that men assume their good-provider role.
Adapting elements of market value coverage in adoption and diffusion of innovations - fast food industries (preliminary study)

Intensive completion in fast food industry force the companies to develop new recopies as well as implement the innovative marketing and business strategies to capture the higher market share in industry. However, the large numbers of innovative ideas and products have been failure in market because they could not find the right channel to approach the customers. To get the better perspective regarding this issue, this study develops the model, which can explain the reasons why sometime customers are not keen to purchase from particular brand or location. The proposed model explains that how the four product/service characteristics 4As (affordability, awareness, acceptability,accessibility) can influence various groups of consumers by different level of innovativeness. In particular, this model aim to explain how innovators, early adaptor, early majority, late majority and laggards as five categories of customers based on Diffusion of Innovations theory react toward 4As.
Running head: Characterizing hydrogeologic heterogeneity using lithologic data CHARACTERIZING HYDROGEOLOGIC HETEROGENEITY USING LITHOLOGIC DATA GREGORY

Large-scale (> 1 m) variability in hydraulic conductivity is usually the main influence on field-scale groundwater flow patterns and dispersive transport. Incorporating realistic hydraulic conductivity heterogeneity into flow and transport models is paramount to accurate simulations, particularly for contaminant migration. Sediment lithologic descriptions and geophysical logs typically offer finer spatial resolution, and therefore more potential information about site-scale heterogeneity, than other site characterization data. In this study, a technique for generating a heterogeneous, three-dimensional hydraulic conductivity field from sediment lithologic descriptions is presented. The approach involves creating a three-dimensional, fine-scale representation of mud (silt+clay) percentage using a "stratified* interpolation algorithm. Mud percentage is then translated into horizontal and vertical cohductivity using direct correlations derived from measured data and inverse groundwater flow modeling. Lastly, the finescale conductivity fields are averaged to create a coarser grid for use in groundwater flow and transport modeling. ' The approach is demonstrated using a finite-element groundwater flow model of a Savannah River Site solid radioactive and hazardous waste burial ground. Hydrostratigraphic units in the area consist of fluvial, deltaic, and shallow marine sand, mud and calcareous sediment that exhibit abrupt facies changes over short distances. For this application, the technique improves estimates of large-scale flow patterns and dispersive transport. The conductivity fields mimic actual lithologic data providing a more realistic picture of subsurface heterogeneity. Field-observed, preferential pathways for contaminant migration are replicated in the simulations without the need to artificially create zones of high conductivity.
Health‐enhancing effects of engaging in productive occupation: Experiences of young people with mental illness

Background/aim: This paper investigates the relationship between productive occupation and mental well-being for young people with a mental illness. In doing so, it aims to increase the understanding of applying occupation therapeutically. Methods: Four young people who experienced mental illness were interviewed about their engagement in productive occupations. Interviews were audiotaped and transcribed. Transcripts were analysed and categorised into four themes. Findings: The participants found that the obligatory nature of productive occupations encouraged engagement in occupation; responsibility gained from work or study helped develop a positive sense of self; accomplishments achieved through engaging in productive occupations enhanced self-worth; and engaging in productive occupations helped foster hope. Conclusion: Engaging in productive occupations is found to enhance the mental health and well-being of participants and thus accentuates that meaningful productive occupations can be a valuable aspect to occupational therapy practice.
Estimates of historic changes in total mortality and selectivity for Eastern Atlantic skipjack (Katsuwonus pelamis) from length composition data

Catch-at-size data of the eastern Atlantic skipjack were used to estimate changes in total mortality from 1969 to 2007. We used a transitional model of mean length that generalized the Beverton-Holt mortality estimator to allow change in mortality rate under nonequilibrium conditions. Then, from homogeneous periods of time, length- converted catch curves were used to access qualitative changes in selectivity patterns for two surface fisheries (the baitboat fishery operating from Dakar, Senegal, and the European and associated purse seine fisheries). To explore the impact of catch on the mortality rate, a Bayesian change-point analysis was conducted on the catch time series to detect concomitant variation between mortality rates and catch. Finally, potential causes of these changes are discussed in relation to the implementation of new fishing technology, such fish aggregating devices (FAD). The general pattern depicted by total mortality is in agreement with previous knowledge on this fishery: a state of complete or practically complete exploitation during the nineties followed by the decrease in nominal purse seine fishing effort in the last decade, combined with the effect of a seasonal moratorium on FAD fishing operations. There was no evidence of a change in selectivity between the two contrasted periods of time considered: 1969-1979 and 1986-1999; the second period being characterized by the introduction of new technology onboard vessels. In contrast, the covariation over time between total catch and mortality rate three years later highlights the effect of the fishing pressure on the stock of eastern Atlantic skipjack.
Telford procedure by mixed-effect regression Relationships between calibrated ages and depth in stratigraphical sequences : an estimation

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The Efficiency of Russian Higher Education Institutions and Its Determinants

In Russia, resources available for higher education institutions (HEIs) have been reduced while the expectations of their results have grown. This raises questions about the efficiency of Russian HEIs and the factors influencing it. In this paper, estimations of the efficiency of Russian HEIs for the 2012/13-2014/15 academic years and its determinants are presented. Ratios of weighted outputs and weighted inputs constructed with data envelopment analysis (DEA) are used as the HEIs efficiency measure. Total financial resources of HEIs are used as the input and measures of education and research results are used as the outputs. For the analysis of changes in efficiency the Malmquist index is used. The relation between efficiency scores and the characteristics of HEIs are investigated using a Tobit regression. This research is based on data about 120 public HEIs collected from various sources. The results show that the potential for an increase in the efficiency still remains. An outward shift of the efficiency frontier, i.e. a technological improvement, was found. According to estimations, most institutions operate at decreasing returns to scale and reducing their size will increase their efficiency. However, the substantial growth of the number of HEIs with increasing returns to scale implies that the policy of resource consolidation could be a reasonable response to current challenges. A positive relationship between HEIs efficiency and the diversification of fields of study was revealed.
Control of Strawberry Black Root Rot with Compost Socks

Abstract Black root rot (BRR) can severely limit productivity in perennial, matted-row strawberry systems. In annual production systems, fumigation temporarily controls soilborne diseases. This report describes for the first time a novel, raised-bed growing method that uses 100% mature compost as an alternative to fumigation. Compost is pneumatically blown into flexible mesh tubes ("compost socks") that lie directly on top of nonfumigated BRR-infested soil. Root health, plant growth, and yield of two cultivars, Chandler and Allstar, were evaluated after growth in compost socks, matted rows, and black plastic mulch at three locations in Maryland. Effects of a pre-plant soil drench with 20% vinegar were also examined. Results show that BRR symptoms were significantly reduced in all compost sock treatments, with or without vinegar, and that yields increased 16 to 32-times those observed in black plastic mulch or matted rows. In general, growth and yield of ‘Chandler’ surpassed that of ‘Allstar’ regardless of pre-plant vinegar and compost treatments. Vinegar alone was ineffective in preventing significant plant disease. Cotton-mesh compost socks readily decompose in soil eliminating the need for plastic removal. The compost sock system requires minimal equipment/supplies for startup, no fumigants, and is compatible with standard methods of weed management used in strawberry fields.
Investigating Interdisciplinary Collaboration: Case Studies in Art and Technology

In order to understand how collaboration between people from different disciplines takes place, research is being undertaken in the area of art and technology. The paper describes two studies of collaboration between artists and technologists drawn from the COSTART (COmputer SupporT for ARTists) project, an artist-inresidency programme that provided a platform for studying the creative process. The paper describes how the research was carried out and, in particular, how the data analysis was conducted using a coding scheme developed specifically for this context. Finally, the preliminary findings are discussed and future work is proposed.
III-1 MANGANESE PARTITIONING DURING HYDROUS MELTING OF PERIDOTITE By

Manganese contents and the iron/manganese ratio of igneous rocks have been used as a method of probing the heterogeneity in the Earth’s mantle during melting of peridotite and pyroxenite lithologies. Most previous work has assumed that changes in these parameters require changes in either source lithology or composition based on experiments that suggest manganese is slightly incompatible during melting and that the iron/manganese ratio is fixed by the presence of olivine. However, the presence of volatiles in the mantle drives melting at lower temperatures and with different compositions than is seen in volatile-free systems, and thus the partitioning behavior of Fe and Mn may in fact vary. We have produced silicate liquids in equilibrium with a peridotite assemblage under hydrous conditions at 3 GPa pressure which show that manganese can also be unexpectedly compatible in garnet at 1375 °C and Mn partitioning between solids and liquids can be strongly affected by temperature and liquid composition. The compatibility of Mn in garnet provides a mechanism for large variations of Mn contents and the Fe/Mn ratio in silicate melts solely involving melting of mantle peridotite with fairly small compositional changes. Correlations between Mn variations and other indices indicative of melting in the presence of garnet may provide a means of more completely understanding the role of garnet at high pressures in peridotite melting.
Combining alternating Lagrangian decomposition, column Generation, and dynamic constraint aggregation for integrated crew pairing and personalized assignment problems for pilots and copilots simultaneously

: The airline crew scheduling problem involves determining schedules for airline crew members such that all the scheduled ﬂights over a planning horizon (usually a month) are covered and the constraints are satisﬁed. Because of its complexity, this problem is usually solved sequentially in two main steps: the crew pairing followed by the crew assignment. However, ﬁnding a globally optimal solution via the sequential approach may be impossible because the decision domain of the crew assignment problem is reduced by decisions made in the pairing problem. This study considers the crew scheduling problem in a personalized context where each pilot and copilot requests a set of preferred ﬂights and vacations each month. We pro-pose a model that completely integrates the crew pairing and personalized assignment problems to generate personalized monthly schedules for a given set of pilots and copilots simultaneously in a single optimization step. The model keeps the pairings in the two problems as similar as possible so that the propagation of perturbations arising during the operation is reduced. We develop an integrated algorithm that combines alternating Lagrangian decomposition, column generation, and dynamic constraint aggregation. We investigate conditions for the convergence of the algorithm, and we conduct computational experiments on a set of real instances from a major US carrier. Our integrated approach produces signiﬁcant cost savings and better satisfaction of crew preferences compared with the traditional sequential approach.