Miracle-dz/UniFAR-FTUs huggingface dataset:
Explaining EU’s Oil Dependency Through the Response of the Portuguese Sector Indexes to Brent Oil Prices Fluctuations

This paper looks at the extent to which the Portuguese stock market at a sector level is sensitive to Brent crude oil price changes over the period of 2000-2020, focusing particularly on endogenous structural breaks in the relationship between the two variables. The empirical results from this paper indicate that the sensitivity of Portuguese sectors to Brent crude oil price changes is rather limited, with only 4 statistically significant periods highlighted. The early 2000s period is one where a statistical significant sensitivity is not detected in any sector, however transitioning into the second decade, we see a slight increase in sensitivity. This sensitivity, interestingly, differs from that reported for Spain, as it was primarily negative, suggesting that for the Portuguese stock market aggregate demand-side oil price shocks induced by real economic activity, don’t play a major role. Thus suggesting and strengthening Catalão-Lopes et al. (2015) argument that neither global supply shocks, global demand shocks or precautionary demand shocks affect Portuguese stock market returns. Instead, it is Portugal’s import situation that is responsible for the statistically significant sensitivity reported. Therefore, highlighting that the path to minimizing oil exposure risk for the Portuguese economy is to address its importer status.
Accumulation of Soil Nickel in the Grains of Different Indica Rice

The accu mulation ability of various Indica rice cultivars was studied by using 163 samples of rice grains and corresponding surface soils collected from different regions of Fujian Province in order to provide scientific basis for cultivation planning of Indica rice in Ni-polluted soils. The results showed that the total soil Ni of the soils ranged from 3.52 ~72.38 mg/kg with an average of 17.86 mg/kg. The available(DTPA-extractable)soil Ni was between 0.01 mg/kg and 1.32 mg/kg with a mean of 0.30 mg/kg. The Ni concentration of rice grains(brown rice) was 0.04~1.82 mg/kg. The transfer factors(available soil Ni based) between soil and grain of different cultivars decreased with the increase in available soil Ni. A regression method was adopted to calculate the representative soil-to-grain transfer factors of each cultivar. The calculated soil-to-grain transfer factors at 0.1 mg/kg available soil Ni(TF0.1) of the rice cultivars decreased in the order of Yue-you 9113Jia-you 948 Shen-liang-you 5814Pei-za-tai-fengTian-you 998Yi-xiang 2292Yi-you 115Na-ke 1Quan-zhen 10Ⅱyou 673Feng-liang-you 1Yang-liang-you 6Yi-you 99Ⅱyou 3301Teyou 627Nei-II-you 6.The difference in Ni accumulation among the rice cultivars was mainly attributed to the difference in varieties. There was no apparent relationships found between conventional rice and hybrid rice, and two-line hybrid rice and three-line hybrid rice.
Micellar electrokinetic chromatography with laser-induced fluorescence detection applied to the analysis of biological samples

The research presented in this thesis is focused on the potential for using the combination of micellar electrokinetic chromatography with laser-induced fluorescence detection for the determination of compounds in biological samples. The topics that have been addressed are the development of separation electrolytes, the need for sample preparation procedures, the derivatization of the compounds of interest and the detection of these by laser-induced fluorescence. Two different classes of compounds have been studied. The greater part of the research concerns the enantiomeric determination of amino acids. A lesser portion of the thesis focuses on the determination of the lipid peroxidation products malondialdehyde and 4-hydroxynon-2-enal.
Geographical concentration of COVID-19 cases by social determinants of health in 16 large metropolitan areas in Canada - a cross-sectional study

Background: There is a growing recognition that strategies to reduce SARS-CoV-2 transmission should be responsive to local transmission dynamics. Studies have revealed inequalities along social determinants of health, but little investigation was conducted surrounding geographic concentration within cities. We quantified social determinants of geographic concentration of COVID-19 cases across sixteen census metropolitan areas (CMA) in four Canadian provinces. Methods: We used surveillance data on confirmed COVID-19 cases at the level of dissemination area. Gini (co-Gini) coefficients were calculated by CMA based on the proportion of the population in ranks of diagnosed cases and each social determinant using census data (income, education, visible minority, recent immigration, suitable housing, and essential workers) and the corresponding share of cases. Heterogeneity was visualized using Lorenz (concentration) curves. Results: Geographic concentration was observed in all CMAs (half of the cumulative cases were concentrated among 21-35% of each city's population): with the greatest geographic heterogeneity in Ontario CMAs (Gini coefficients, 0.32-0.47), followed by British Columbia (0.23-0.36), Manitoba (0.32), and Quebec (0.28-0.37). Cases were disproportionately concentrated in areas with lower income, education attainment, and suitable housing; and higher proportion of visible minorities, recent immigrants, and essential workers. Although a consistent feature across CMAs was concentration by proportion visible minorities, the magnitude of concentration by social determinants varied across CMAs. Interpretation: The feature of geographical concentration of COVID-19 cases was consistent across CMAs, but the pattern by social determinants varied. Geographically-prioritized allocation of resources and services should be tailored to the local drivers of inequalities in transmission in response to SARS-CoV-2's resurgence.
Solid rocket exhaust in the stratosphere - Plume diffusion and chemical reactions

A model has been developed to examine, on a local scale, the reactions of rocket exhaust from solid rocket motors with stratospheric ozone. The effects were examined at two different altitudes. Results of the modeling study indicate that afterburning chemistry of reactive exhaust products can cause local but transient (on the order of several minutes) loss of ozone. The modeling study included potential heterogeneous reactions at aluminum oxide surfaces. Results indicate that these potential heterogeneous reactions do not have a major impact on the local plume chemistry. Homogeneous reactions appear to be of more consequence during the early dispersion of the plume. It has also been found that the rate of plume dispersion has a very significant effect on local ozone loss.
Hierarchical Dendrite-Like Magnetic Materials of Fe3O4, γ-Fe2O3, and Fe with High Performance of Microwave Absorption

Iron-based microstructured or nanostructured materials, including Fe, γ-Fe2O3, and Fe3O4, are highly desirable for magnetic applications because of their high magnetization and a wide range of magnetic anisotropy. An important application of these materials is use as an electromagnetic wave absorber to absorb radar waves in the centimeter wave (2−18 GHz). Dendrite-like microstructures were achieved with the phase transformation from dendritic α-Fe2O3 to Fe3O4, Fe by partial and full reduction, and γ-Fe2O3 by a reduction−oxidation process, while still preserving the dendritic morphology. The investigation of the magnetic properties and microwave absorbability reveals that the three hierarchical microstructures are typical ferromagnets and exhibit excellent microwave absorbability. In addition, this also confirms that the microwave absorption properties are ascribed to the dielectric loss for Fe and the combination of dielectric loss and magnetic loss for Fe3O4 and γ-Fe2O3.
TEKNILLINEN KORKEAKOULU DIPLOMITYÖN TIIVISTELMÄ Tekijä : Pauli Murto Työn nimi : Sähkönkulutuksen lyhyen aikavälin ennustaminen neuroverkkomalleilla English title : Neural network models for short-term load forecasting Päivämäärä : 5 . 1

Neural network techniques have been recently suggested for short-term load forecasting by a large number of researchers. This work studies the applicability of this kind of models. The work is intended to be a basis for a real forecasting application. First, a literature survey was conducted on the subject. Most of the reported models are based on the so-called Multi-Layer Perceptron (MLP) network. There are numerous model suggestions, but the large variation and lack of comparisons make it difficult to directly apply proposed methods. It was concluded that a comparative study of different model types seems necessary. Several models were developed and tested on the real load data of a Finnish electric utility. Most of them use a MLP network to identify the assumed relation between the future load and the earlier loadand temperature data. The models were divided into two classes. First, forecasting the load for a whole day at once was studied. Then hourly models, which are able to update the forecasts as new data arrives, were considered. The test results showed, that the hourly models are more suitable for a forecasting application. The forecasting errors were smaller than with a SARIMAX model, which was tested for the comparative purpose. The work suggests that this kind of an hourly neural network model should be implemented for a thorough on-line testing in order to get a final opinion on its applicability.
Learning Patterns in the Game of Go MSc Thesis ( Afstudeerscriptie )

This thesis introduces concepts for learning expert human positional classifiers in the game of Go. While most studies in the field of Go focus on learning methods to find the best move, this thesis focuses on learning methods for evaluating the quality of Go stones in a position. A data set of 2,638 Go Tesuji problems has been created. For these problems expert human classifiers have been recorded using a first order logic annotation extension developed for the current standardized format SGF (Smart Go File). The learning of the human classifiers has been conducted with Support Vector Machines using low level features such as the Relative Subgraph Features (RSF) from the Common Fate Graph (CFG). Relative Subgraph Path Features (RSPF) have been developed for learning connectivity and proved to be an appropriate representation for the learning task.
Electromechanical Analysis by Means of Complex Capacitance of Bucky-Gel Actuators Based on Single-Walled Carbon Nanotubes and an Ionic Liquid

The displacement caused by an applied sinusoidal voltage and electrochemical impedance spectroscopy are used to analyze the electromechanical behavior of bucky-gel single-walled carbon nanotube actuators containing an ionic liquid. This behavior can be understood in terms of complex capacitance diagrams and the frequency dependence of the real and imaginary components of the capacitance. The complex power allows analyzing the relationship between energy storage and energy dissipation during the operation of the electrochemical actuator. Bucky-gel SWCNT actuators behave as supercapacitors. Accordingly, the energy−power plot or Ragone plot expresses the useable energy as a function of the power. In order to visualize the relationship between mechanical behavior and electrochemical properties, the strain−power plot is reported. The maximum power Pmax and specific energy densities Emax of the electrochemical actuator are calculated. The energy densities of bucky-gel SWCNT actuators containing an ionic liquid .
COMPLEMENTS OR SUBSTITUTES ? : THE EFFECTS OF ORGANIZATIONAL COMMUNICATION ROUTINES AND

This paper analyzes the effects of the organizational communication routines and project team management practices on the capability to mobilize and create knowledge for innovation. I argue that for organizations that have the organizational communication routines that support innovation project team management practices that facilitate communication on team and innovation are at most complements. However, for organizations that lack these routines, the practices are substitutes for them. The empirical analysis supports the arguments. [75]
This information is current as Autoimmune Encephalomyelitis Regulatory B Cell Control of Experimental Is Required for 4 α Cutting Edge : Integrin

Print ISSN: 0022-1767 Online ISSN: 1550-6606. Immunologists, Inc. All rights reserved. Copyright © 2016 by The American Association of 9650 Rockville Pike, Bethesda, MD 20814-3994. The American Association of Immunologists, Inc., is published twice each month by The Journal of Immunology at U iv of C alifnia-San D igo Seials/B om ed L ib 0699 on M arch 7, 2016 hp://w w w jim m unl.org/ D ow nladed from
Scanning Tunneling

Composite liners have been fabricated for the Los Alamos liner driven HEDP experiments using impactors formed by physical vapor depmition (PVD), electroplating machining and shrink fitting. Chemical vapor deposition (CVD) has been proposed for some ATLAS liner applications. This pap describes the processes used to fabricate machined and shrink fitted impactors which have been used for copper impactors in 1100 aluminum liners and 6061 T-6 aluminum impactors in 1100 ahuninum Iiners. The most successful processes have been largely empirically developed and rely upon a combination of shrink fitted and light press fitting. The processes used to date will be descrilxd along with some considerations for Mure composite liner requirements in the HEDP Program.
Equilibrium Study for the System Tri-n-butyl Phosphate, Normal Paraffin Hydrocarbon, and Nitric Acid

Tri-n-butyl phosphate (TBP) in diluent is generally used as a solvent for the extraction of fissile materials in the reprocessing of spent fuels by the PUREX process. The mutual solubility of TBP and water leads to the transfer of some finite amount of TBP into the aqueous phase. The distribution study of TBP between normal paraffin hydrocarbon (NPH) and nitric acid has been studied. Equilibrium curves have been generated for TBP in different concentrations of nitric acid and NPH. The distribution coefficient (Kd) is also calculated by measuring the concentration of associated TBP in the aqueous and organic phase. The effect of an inert diluent on the solubility of TBP in nitric acid is also studied. It has been found that the distribution coefficient value varies with the concentration of TBP, nitric acid, and NPH. Nitric acid partitioning between TBP and water has also been studied. The concentration of nitric acid in both phases was determined by the titration method. It has also been proven that the c.
Enterprise Resource Planning Systems and Knowledge Management: A Review of the Literature and Conceptual Framework

This article provides a comprehensive review of the literature published in various articles dated back to 1998 on the role of Knowledge Management (KM) in Enterprise Resource Planning (ERP) systems. This article follows the literature published in this context focusing on two basic themes: KM supporting the ERP systems and KM integration into the ERP system. All the articles published on the relationship between KM and ERP systems published since 1998 were searched. Articles were sorted out on the basic themes they addressed. Most of the work on the role of KM in ERP systems was grouped into two main categories depending on the research subject matter. Integration of ERP systems being one of these basic themes was further investigated, enlisting all possible research articles published so far. Literature review on the KM and ERP relationship can be concludes that despite different relationships explored in the literature, KM has a vital role to play in the success of the ERP system. It is one of the critical success factors which complements the ERP systems to the extent that its absence will diminish the very essence, that is the adaption of ERP systems for the companies signified by the competitive advantage, market agility, and organization efficiency.
Conversational Information Retrieval for Instructional Content – A Modeling Framework and an Implementation for Recipe Search

As commercial voice agents are becoming increasingly popular, conversational search is brought into focus. Being an emerging area of research, there are a lot of questions that remain unanswered. In this thesis, we aim to provide some insight into what a speech-based conversational search system might look like, focusing on its application in recipe search, as cooking is a typical hands-oﬀ situation where voice interactions and information retrieval with an agent aﬀord more convenience. Our contribution is two-fold: (1) a human-like conversational information retrieval model, and (2) a prototype of conversational recipe search.
a-Thalassemia Resulting From Deletion of Regulatory Sequences Far Upstream of the a-Globin Structural Genes

We describe an a-thalassemia determinant in which a-globin expression is silenced by a deletion located 27 kb 5’ to the transcription start site of the a2-globin gene. This a-thalassemic determinant, ( a ~ ) ” ’ ~ , is a member of a newly
Using the Theory of Planned Behavior to Understand Family Forest Owners’ Intended Responses to Invasive Forest Insects

Abstract Private landowner participation in management initiatives can be encouraged by interventions, which must resonate with the underlying subjective motivations of the landowners. In this study, we use the Theory of Planned Behavior to gauge the relative influences of (1) attitudes; (2) subjective norms; and (3) perceived behavioral control on landowner intentions to harvest trees threatened by invasive insects. We use a survey (n = 696) to estimate the effects of these latent factors among family forest owners in New England. Our results suggest that, overall, normative pressures are the dominant influence on landowners’ harvest intentions. However, for certain subgroups, such as those with especially high levels of knowledge and experience with forest insects, or those with forestry experience, attitudes are dominant. Perceived behavioral control was not revealed to be dominant among any of our subgroups. These findings can be used to inform landowner interventions that are differentiated by landowner type.
The Effects of Educational Levels on the Knowledge of Risk Factors and Awareness of Oral Cancer in a Turkish Population: A Cross-sectional Electronic Media Based Survey Study

METHODS In this cross-sectional study, a 17-item close-ended questionnaire was prepared that required 3-5 min to complete. The questions were prepared electronically through Survey Monkey, distributed by social media and the participants gave their answers on their electronic devices. Descriptive statistics of demographic variables and other data were reported as percentages and statistical analyses were performed using the Chi-square test.
The behaviour of forex market during the first and second wave of COVID-19: a wavelet analysis

ABSTRACT This study evaluates the behaviour of the forex market during the first and the second wave of COVID-19. We have analysed the behaviour of exchange rates of CNY, JPY, CHF, and GBP in response to daily cases of COVID-19 and daily deaths, using Continuous Wavelet Transform and Wavelet Transform Coherence. The results show that the second wave has been more aggressive. The relationship of new cases and deaths has been more significant and negative with the exchange rates during the second wave of COVID-19. The currencies that are considered safe havens are severely affected by COVID-19 during the second wave.
The Sovereign-Bank Nexus in the Face of the COVID-19 Pandemic Outbreak—Evidence from EU Member States

The major focus of this paper is on the sovereign–banks relationship following the COVID-19 pandemic crisis outbreak, with a view to gaining an insight into banks’ exposure to the sovereign. We rely on a series of complementary research approaches, such as desk research, comparative statistical analysis, exploratory learning algorithm, and a deterministic panel regression framework. The analysis reveals that most EU countries were not prepared for the pandemic crisis as they lacked a financial security buffer. The growing fiscal pressure and lockdown restrictions additionally resulted in an increase in banks’ exposure to the government debt market and higher government debt securities exposure on their balance sheets. One of the novelties of the research is the adoption of the gap method in order to measure the changes between banking assets major items (government securities vs. loans) and uncovering the preference for holding a specific type of asset. Additional insight is brought by the clustering solution, which shows increased cross-country heterogeneity in terms of the sovereign–banks relationship. Empirical research shows that banks’ involvement in the sovereign debt market is sensitive mainly to negative information related to pandemic occurrence and, to a lower extent, to positive information reflected by government’s reactions and economic stimulus measures. In addition, our results reveal there is no crowding-out effect triggered by the pandemic, in terms of lending to the sovereign against lending to the real economy. In the pandemic onset banks did not proceed to a sharp portfolio rebalancing in favor of the sovereign.
Evaluation of E-Learning Implementation During the Covid-19 with the DeLone and McLean Models

During the Covid pandemic the learning process was carried out using e-learning media. SMK TI Airlangga Samarinda is one of the schools that has used e-learning in its learning process both before the Covid pandemic. Furthermore, an evaluation of the success of e-learning implementation will be carried out using the DeLone and McLean information system success model (D&M IS Success Model). In this model, there are six measurement variables, namely system quality, information quality, service quality, usage, user satisfaction, and net benefits. The purpose of this study is to provide an overview of the use of e-learning at SMK TI Airlangga Samarinda to the school and to find out the factors that influence the successful implementation of e-learning at SMK TI Airlangga Samarinda. To achieve this goal, SEM-PLS analysis (structural equation model - partial least square) is used. The subjects used were 336 students of SMK TI Airlangga Samarinda. The sampling technique used in this study was purposive sampling, with consideration of the availability of data obtained a sample of 192. Data collection techniques in this study using questionnaires, interviews, and literature study. The results of this study indicate that the quality of information and system quality in e-learning has a positive effect on the satisfaction of using e-learning which in turn has an effect on the benefits felt by students while using e-learning. In addition, the quality of the e-learning system also has a positive effect on the intensity of e-learning use, which means that the better the quality of the system will increase the intensity of e-learning use.
The role of health beliefs in moderating the relationship between leisure participation and wellbeing among older Chinese adults

ABSTRACT Much research suggests that physical leisure activity contributes to wellbeing and that sedentary leisure activity diminishes wellbeing, but an increasing number of studies challenge this dominant discourse. To better understand the relationship and provide new insight to inconsistent findings, we examined how health beliefs concerning the benefits of leisure moderate the association between leisure participation and subjective wellbeing by drawing on data gathered in a self-administered survey conducted in southwest China with 329 older adults. The results suggest that health beliefs strengthen the association of greater participation in physical leisure activity with higher life satisfaction, and weaken the association of more participation in sedentary leisure activity to lower life satisfaction and increased negative affect. Thus, health beliefs impact the association between leisure participation and wellbeing in a Chinese context.