Miracle-dz/UniFAR-FTUs huggingface dataset:
Improvements to Image Processing in the DES-GW Pipeline

Gravitational wave (GW) events caused by binary neutron star (BNS) mergers are known to have observable electromagnetic counterparts. The DES-GW group, consisting of members of the Dark Energy Survey (DES), Laser Interferometer Gravitational Wave Observatory (LIGO), and the astronomical community, attempts to locate and observe these counterparts upon LIGO detection of a BNS event. DES employs a series of computer programs, known as the DES-GW pipeline, to capture and process Dark Energy Camera (DECam) images of the counterpart’s probability region with the goal of identifying the exact location and characteristics of the GW event counterpart. This paper describes improvements made to the image processing portion of the DES-GW pipeline before LIGO Observing Run 3 (O3) in 2019.
Decision letter for "Impact of COVID-19 crisis on stocking and impulse buying behaviour of consumers"

PurposeThe current study investigates how consumers are reacting to the COVID-19 pandemic. The study aims to explain consumers' stockpiling and impulse buying behaviour during the current crisis.Design/methodology/approachBased on the scope and focus of this study, our primary data collection tool was an online survey questionnaire that was sent to 1,000+ people and the results were computed from 417 responses received. The study employed Exploratory Factor Analysis to substantiate the construct validity of the constructs. Unidimensionality, validity and reliability of the model were assessed using confirmatory factor analysis. The effect of the COVID crisis on consumer stocking and impulse buying behaviour was investigated using structural equation modelling.FindingsThe findings show that the COVID pandemic did have a significant impact on consumer behavioural patterns indicated by the stocking and impulse buying behaviour of consumers.Practical implicationsThese results have consequences for policymakers and practitioners in terms of adjusting inventory and response policies, especially in terms of efficient supply chain management processes and actively reaching out to customers to reduce their fear and anxiety levels, which contribute to such panic activity.Originality/valueThis paper adds value to the literature on consumer behaviour during COVID-19 pandemic in case of Indian consumers. The findings of the paper will help in doing a comparison of the said behaviour of consumers in other parts of the world. The paper also helps in explaining the underlying theories elucidating such behaviour of consumers.
Factors Influencing E-Commerce Adoption: Evaluation Using Structural Equation Modelling (SEM)

Electronic commerce (e-commerce) has become a rapidly growing phenomenon to date. A peep into the exponential growth of the main players in this industry reveals a large reservoir of market potential for ecommerce. Nevertheless, the prevalence of e-commerce adoption has attracted attention from the government, retailers, and academicians to place specific focus on this area. As such, this study determined the correlation between Chief Executive Officer’s (CEO’s) technology knowledge, relative advantages, and competitive pressure through the lens of Tornatzky and Fleischer’s (1990) Organisational, Technological, and Environmental (OTE) model in order to probe into the adoption of e-commerce. CEOs and managers of Small and Medium Enterprises (SMEs) established in the Northern states of Malaysia were selected as the subject of analysis. A total of 283 out of 364 questionnaires distributed were valid for analysing and testing the hypotheses. Next, the gathered data were analysed using Statistical Package for the Social Sciences (SPSS) version 18.0 and Analysis of a Moment Structures (AMOS) version 16.0. The Structural Equation Modelling (SEM) was employed to assess model fit and to test hypotheses. As a conclusion, CEO’s technology knowledge and relative advantage displayed significantly positive influence upon adoption of ecommerce, whereas competitive pressure exhibited insignificant impact upon adoption of e-commerce. In precise, the insignificant influence of competitive pressure on e-commerce implementation appeared to be driven by other unseen variables worthy to be discovered. For future research, a comparison study can be conducted by selecting samples both from employers and employees, as well as other multiple variables associated with e-commerce adoption, so as to keep sampling bias at a minimum level.
Antioxidant potential of selected traditional plant-based beverages in Bosnia and Herzegovina

Oxidative stress is deemed to play important role in many acute and chronic diseases (Polimeni et al., 2015; Cobb and Cole, 2015). The burden of chronic diseases like cardiovascular, neurodegenerative diseases and cancer is constantly rising, and so does the research in the field of antioxidants (Pisoschi and Pop, 2015). Antioxidants and functional food containing antioxidants gain rising popularity among consumers (Lobo et al., 2010). Consequently, the market of the functional food with these compounds is rapidly growing. On the other hand, some traditional food is also high in antioxidants, but their use is deprived by the rising number of commercial products. This trend can affect the dietary habits since the consumers are oriented to processed instead of homemade food. The health professionals and authorities should be more devoted to the research of traditional, non-processed food, its functional properties and promotion of its consumption. The main aim of our work was to determine antioxidant capacity of some traditional non-alcoholic beverages in BiH.
Transformations and measurements of the complex degree of coherence

This thesis contains theoretical, numerical, and experimental studies on the coherence properties of scalar light fields. An analytical model is introduced, which describes a simple way to generate a class of Bessel-correlated fields, in a time-averaged sense. We use a rotating plane-parallel glass plate to produce the Bessel-correlated fields, and we experimentally verify the spatial coherence properties of those beams using a wavefront folding interferometer (WFI). A theoretical model for the generation of a class of correlation-invariant fields is also introduced. The mentioned model fields are synthesized by using a rotating wedge in the path of a spatially fully coherent Gaussian beam, and their spatial coherence properties are confirmed by experiments. A digital micro-mirror device (DMD) is used for this experiment. A significant modification to the WFI system is illustrated. The new mirror-based WFI can measure the four-dimensional spatial coherence function and the degree of temporal coherence rapidly, even in low light conditions. In the thesis, we further present an extensive study on the effects of spatial unitary transformation (SUT) on the visibility of the fringes and the complex degree of coherence. We find that the SUT may change the degree of coherence and the visibility of fringes in scalar two-beam interference. The complex degree of coherence of the beams exiting an SUT element, such as nonabsorbing beam splitter may become zero even though the input beams are partially coherent. We show that, in general, it is possible to isolate the fully correlated and fully uncorrelated parts of optical fields in two-beam interference and we verify it experimentally. Our findings constitute foundational results on optical two-beam interferometry. A numerical framework to study the coherence properties of supercontinuum (SC) light, generated in bulk medium, is developed. The classical second-order coherence theory is applied to analyze the temporal and the spectral coherence properties of SC pulses, from a 5 mm thick sapphire plate, generated in the negative, zero, and positive dispersion regimes. We find that the SC pulses produced from bulk medium are almost fully coherent in both low and high pumping conditions, which is completely different from the case of fiber generated SC pulses. In the spacial domain, we observe a dip in the measure of the overall degree of temporal coherence whereas in the angular domain the coherence is low at high spatial frequencies. Universal Decimal Classification: 535.1, 535.3, 535.4, 681.7 OCIS codes: 030.0030, 080.0080, 230.0230, 140.0140, 190.0190, 320.0320
New form of parallel trading within economics relations between Russia and China

This paper investigates the phenomenon of ‘daigou’. Daigou are perceived as harmful in China as they do not pay any import taxes. However, daigou have established well-organised supply-chain channels on the borders between Russia and China and have helped to boost sales for Russian regional businesses. With the help of in-depth interviews, this study provides three core findings. Firstly, it describes the entire supply-chain structure of daigou activity in Russia-China trade relations and the methods used by daigou to bypass border customs controls. Secondly, it explores the key benefits for Russian manufacturers and retailers and shows how they cooperate with Chinese daigou. Finally, it proposes that daigou are not just purchasing representatives but that they also act as consultants to Russian manufacturers and retailers and may therefore have a significant impact on the marketing costs, product development, and internationalisation strategies of those manufactures and retailers.
Visualizing Semantic Metadata from Biological Publications

The biomedical domain has several large-sized, conveniently searchable document stores, such as Medline or PMC . These collections count up to several millions of publications, with manually supplied, value-adding index terms. Increasingly, these repositories undergo computational text analysis which yields additional, automatically generated semantic metadata. Due to the volume and complexity of these data and their interrelations, standard textual modes for displaying search re-sults become more and more inappropriate. Therefore, we propose an interactive graphical front-end, embedded in the semantic search engine Semedico , for the visualization of complex semantic annotations, namely semantic relations among named entities (such as protein-protein interactions) automatically extracted from biomedical publications.
A New Trend for Controlling Tomato Leaf-Miner, Tuta absoluta (Meyrick)

The tomato leafminer, Tuta absoluta causing a huge economic problem in Egypt. The effects of Agree 50% WG, Avaunt 15% EC, Excellent 1.9% EC, Titan, Castor aqueous extract, K.Z oil, and Alboleum oil against the tomato leaf- miner, T. absoluta (Meyrick) were evaluated. Avaunt 15% EC is succeeded in T. absoluta management since it is initially reduced of the infestation were 80.42 and 78.29, respectively. Meanwhile, the total mean of reduction after 1, 3, 10, and 15 days were 79.20, and 79.26 respectively, for the 1st and 2nd spray. While the initial reduction of Excellent 1.9% EC, Agree 50% WG, Castor aqueous extract, Titan, K.Z oil, and Alboleum oil were 80.68, 80.38, 79.70, 71.62, 72.44, and 70.68, respectively for 1st spray. Furthermore, the initial reduction of Excellent 1.9% EC, Agree 50% WG, Castor aqueous extract, Titan, K.Z oil, and Alboleum oil were 80.76, 77.23, 77.30, 72.58, 70.00, and 69.98 for 2nd spray, respectively. The total mean of reduction for Avaunt 15% EC, Excellent 1.9% EC, Agree 50% WG, Castor aqueous extract, Titan, K.Z oil, and Alboleum oil were 79.20, 74.71, 74.59, 72.72, 70.35, 69.15, and 64.96 for 1st spray, respectively. Although, the total mean of reduction for Avaunt 15% EC, Excellent 1.9% EC, Agree 50% WG, Castor aqueous extract, Titan, K.Z oil, and Alboleum oil was 79.26, 74.73, 73.88, 73.40, 68.49, 67.47, and 62.27 for 2nd spray, respectively
Amazônia , Brasil Distribution extension and ecological aspects of one Trichomycteridae species in a tropical river , Amazon , Brazil

1 1 21 Disponível em http://periodicos.unifap. br/index.php/biota Submetido em 05 de Maio de 2020 / Aceito em 22 de Julho de 2020 Biota Amazônia ISSN 2179-5746 Fishes of the family Trichomycteridae are widely distributed in South America, but there are knowledge gaps in the distribution range of some species, mainly in the western of the Brazilian Amazon. Here, we present new records of Pseudostegophilus nemurus in the Acre State, Brazil, and provide information on growth and diet. Specimens were collected from August to September 2017 in 12 beaches along the Acre River. Twenty individuals were analyzed, with total length and total weight of 105.28 ± 27.82 mm and 5.89 ± 1.01 g, respectively. Five food items were identified, with fish scales (60%) being the most representative and sand (65%) the accessory item. The specie showed negative allometric growth (b = 2.56). Knowledge about the diversity of many areas of the Amazon is still incipient, and information about the distribution extension and natural history of the species are important for future studies in this biome.
Semantic Parallelism in Traditional

In the present article, I propose some initial topics for the typological-comparative study of semantic parallelism, which also serve as an analytical axis to study semantic parallelism in traditional kakataibo chants. These basic topics are the structure of the cotext, lexical and grammatical type of parallel units, type of semantic relations between parallel units, number of parallel units per pair of lines, and associated phenomena such as recurrent or fixed pairing and diphrasism. Following this initial proposal, I postulate that the cotext in Kakataibo semantic parallelism is a repeated morphosyntactic structure that does not exhibit ellipsis or increasing, the number of parallel units can be one to three slots and one pair is more productive, parallel units are related by semantic fields such as kinship terms and colors. Furthermore, I analyze the interaction of semantic parallelism in the continuous creation of lines with two other poetic forms, enjambment and repetition, and I postulate that semantic parallelism is a compositional strategy due to its high productivity for line composing.
A close monitoring of Variations in Fatty acid profile of Isochrysis galbana under conditions of limited Nutrition

The current study was aimed at investigating the possible deviations in the degree of unsaturation of fatty acid components in the marine microalga Isochrysis galbana, under conditions of low nitrogen as well as low phosphorus concentrations. Standard f/2 medium in filtered and sterilized sea water of salinity 33ppt was used as control/N 100 . The other treatments used were f/2 medium with 25% nitrogen source (N 25 ) and f/2 medium with 25% phosphorus source (P 25 ). For control cultures, saturated fatty acids (SFAs) accounted for over 70.66% of the total fatty acids, whereas it was only 62.96% in nitrogen limited cultures and 60.17% in phosphorus limited ones. The present study reveals that nutrient stress provided a remarkable elevation in the degree of unsaturation. The value of monounsaturated fatty acids (MUFAs) was maximum for N 25 cultures (22.20%) followed by P 25 (19.62%) whereas it was 16.81% for control. Among the three treatments, the highest value of polyunsaturated fatty acids (PUFAs) observed in the P 25 cultures (20.21%) followed by 14.84% (N 25 ) while it was only 12.52% for control cultures. One way analysis of data brought to light that nutrient stress can influence fatty acid pattern of the microalga significantly (p<0.05). The present observations suggest that low availability of macronutrients such as nitrogen or phosphorus can shift the fatty acid profile from saturated to unsaturated.
Psychological status of lung cancer patients and the effects of online intervention during the coronavirus disease 2019 pandemic

The aim of the present study was to evaluate the anxiety and depression status of lung cancer patients during the coronavirus disease 2019 (COVID‐19) pandemic and the effects of psychological counseling online. For this purpose, following enrollment. patients were divided into an interven‐ tion group (group I) and a control group (group C). Participants in the two groups were scored using the Self‐Rating Anxiety Scale (SAS) and Self‐Rating Depression Scale (SDS) before and one week after the intervention. The depression and anxiety status of the lung cancer patients during the COVID‐19 pandemic was evaluated based on SAS and SDS, and the effects of intervention online were also evaluated. The results revealed that the rate of anxiety in patients with lung cancer reached 35.71%, while the rate of depression reached 51.43%. After one week of intervention, the standard total score of SAS (S‐SAS) and the raw sum score of the SDS (R‐SDS) in group I were lower than those in group C (P<0.05). The S‐SAS and R‐SDS in group I after one week of intervention were lower than those before intervention (P<0.05). However, the SAS and SDS scores in group C after one week of intervention did not differ significantly from those before intervention (P>0.05). On the whole, the present study demonstrates that psycho‐ logical counseling online for lung cancer patients during the COVID‐19 pandemic can effectively reduce their anxiety and depression scores. In addition, this type of counseling may be an effective psychological counseling method that is worthy of promotion during the pandemic.
Evaluation of early-age cracking risk in mass concrete footings under different placement conditions

This article presents the assessment of early-age cracking risk in a mass concrete footing which is cast under different construction conditions. A finite element (FE) model was developed for predicting temperature, thermal stress, and cracking potential in a concrete footing at early age. Different scenarios of concrete placement were considered to investigate the effect of construction stages on thermal cracking potential in the concrete. The analysis method in this study can help engineers optimize construction schedules to control temperature and reduce cracking risk in mass concrete structures.
Simulated carbon and nitrogen dynamics in turfgrass systems using the DAYCENT model

ii ACKNOWLEDGMENTS . iv TABLE OF CONTENTS . v LIST OF TABLES . vii LIST OF FIGURES . viii CHAPER 1. DEVELOPMENT OF BEST TURFGRASS MANAGEMENT PRACTICES USING THE DAYCENT MODEL . 1 1.1 SUMMARY . 1 1.2 INTRODUCTION . 1 1.2.1 CENTURY and DAYCENT Models . 2 1.3 MATERIALS AND METHODS . 4 1.3. 1 Field Experiment . 4 1.3. 2 Simulation of the Field Study . 6 1.3. 3 Long-term Simulations . 7 1.3. 4 Developing BMPs . 8 1.4 RESULTS AND DISCUSSION . 9 1.4. 1 Measured and Simulated Results . 9 1.4. 2 The Influence of Different Management Regimes in Long–term Simulations . 12 1.4. 3 Best Management Practices Generated by DAYCENT Model . 13 1.5 CONCLUSIONS. 16 REFERENCES . 30 CHAPTER 2. SIMULATION OF N2O EMISSIONS AND ESTIMATION OF GLOBAL WARMING POTENTIAL IN TURFGRASSES USING THE DAYCENT MODEL . 34 2.1 SUMMARY . 34
Palestinian Patients with Cancer at King Hussein Cancer Center

Background The Palestinian Ministry of Health (MoH) routinely refers Palestinian patients with cancer to King Hussein Cancer Center (KHCC), the largest cancer center in the Middle East. Aims We aimed to describe the characteristics of Palestinian patients with cancer. Methods We performed a retrospective chart review of all Palestinian patients with cancer who were treated at KHCC during 2018 and 2019, of which demographic and clinical characteristics were presented. Results We initially started with 521 cases, out of which 41 (7.9%) cases were excluded due to misdiagnosis as malignant on pathology review. We included 480 patients with a confirmed diagnosed of cancer. Most patients were adults (88.8%) with a mean age of 50.0 ± 15.0 years ranging from 19 to 87 years. The most common cancer sites in adult men, who comprised 46.9% of the cohort were the hematolymphoid system (23.5%), followed by the digestive system (17.5%), and lung and pleura (11.5%). In women (53.1%), the most common cancer sites were the breast (46.0%), followed by the digestive system (15.0%), and the hematolymphoid system (10.2%). Children and adolescents accounted for 11.3% of the total cases, among which the hematolymphoid system was the most common cancer site (50%), followed by the brain (14.8%). About 36.0% of all patients presented with advanced-stage disease (i.e., distant metastasis). Conclusion The most common cancer sites in our cohort are generally similar to data from the Palestinian territories. Many patients presented with advanced-stage disease, which signals the need for awareness campaigns and screening programs. Benign tumors are misdiagnosed in many patients as cancer. The limited resources and facilities including human resources remain important challenges to the proper and timely diagnosis and management of cancer among Palestinians living in the Palestinian Territories.
Extraction and Analysis of Jasmine Tea Aroma Constituents of Three Different Grades

The volatile aroma compounds of three different species of jasmine tea were studied and the whole quantities of volatilecompounds, which are the foundation of aroma consistency, have been determined. The low boiling point components were theimportant affection to the freshness and lively degree of aroma. The relationship between aroma constituents and aroma qualitywas studied. And the main components of jasmine tea were: linalool, benzyl acetate, cis-3-hexenol, methyl salicylate and benzylalcohol. In addition, the higher the quantity of the former four compounds, the better the quality of jasmine tea aroma.
Learning curves of generic features maps for realistic datasets with a teacher-student model

Teacher-student models provide a framework in which the typical-case performance of high-dimensional supervised learning can be described in closed form. The assumptions of Gaussian i.i. d. input data underlying the canonical teacher-student model may, however, be perceived as too restrictive to capture the behaviour of realistic data sets. In this paper, we introduce a Gaussian covariate generalisation of the model where the teacher and student can act on different spaces, generated with fixed, but generic feature maps. While still solvable in a closed form, this generalization is able to capture the learning curves for a broad range of realistic data sets, thus redeeming the potential of the teacher-student framework. Our contribution is then two-fold: first, we prove a rigorous formula for the asymptotic training loss and generalisation error. Second, we present a number of situations where the learning curve of the model captures the one of a realistic data set learned with kernel regression and classification, with out-of-the-box feature maps such as random projections or scattering transforms, or with pre-learned ones—such as the features learned by training multi-layer neural networks. We discuss both the power and the limitations of the framework.
On the estimation of locally stationary functional time series

This study develops an asymptotic theory for estimating the time-varying characteristics of locally stationary functional time series (LSFTS). We investigate a kernel-based method to estimate the time-varying covariance operator and the time-varying mean function of an LSFTS. In particular, we derive the convergence rate of the kernel estimator of the covariance operator and associated eigenvalue and eigenfunctions and establish a central limit theorem for the kernel-based locally weighted sample mean. As applications of our results, we discuss methods for testing the equality of time-varying mean functions in two functional samples.