Miracle-dz/UniFAR-FTUs huggingface dataset:
Interaction Studies Between CDK and Epigallocatechin Gallate From Solanum nigrum

Epigallocatechin gallate is the most abundant catechin, it is present in plants, Solanum nigrum is a medicinal plant with many phytochemicals in them. The cell cycle is a normal process although if controlled can lead to cancer, the uncontrolled proliferation of the cells are controlled by the antioxidant compounds present in them. This present study is to done on the fact that antioxidants in plants act as anticancer agents.
Native bumble bee (Hymenoptera: Apidae) pollinators vary in floral resource use across an invasion gradient

Abstract Integration of pollinator-dependent invasive plants into native pollination networks can have direct and indirect effects on local plant and pollinator communities. Impacts on local plants are well documented; however effects on native pollinators have gained less attention. We examine these issues in habitat fragments of the endangered oak-savannah ecosystem in British Columbia, Canada. We measured pollen collection by native bumble bees (Bombus Latreille; Hymenoptera: Apidae) and the introduced honey bee (Apis mellifera Linnaeus; Hymenoptera: Apidae) foraging on two common native plants in habitat fragments with varying invasive (Cytisus scoparius (Linnaeus) Link; Fabaceae) density. The Bombus species with the largest workers had higher proportions of invasive pollen on their bodies and in their corbiculae than smaller workers. Honey bees rarely collected C. scoparius pollen. While some native bumble bees species collect an increasing proportion of C. scoparius pollen with increasing C. scoparius density, this did not translate into an increased potential for pollination. Rather, measures of effective pollination decline with C. scoparius density. Overall, our results suggest that some bee species may be better at finding resources at highly invaded sites. Apis mellifera is likely not playing a major role in facilitating the spread of C. scoparius in our region. Rather C. scoparius is visited by a complement of native bumble bees that are similar to pollinators in the native range of this plant.
COVID-19 and mental health

The novel Corona virus started spreading at the end of 2019 and has threatened the health, life style and lives of millions of people in the whole world. It is highly contagious leading to repiratory, renal and multiple has brought impact on the health system of many nations. Hence it has been declared as pandemic. As a result, all possible and extraordinary measures by the governments have been taken to prevent the spread, control the mobility and improve sanitization and hygienic practices. The aim of this article is to compile and analyse the articles published as a result of spread of virus and the impact it has caused on various aspects of human life. The analysis not only reveals the physical but also the individual, familial and interpersonal coping with this emergency situation. The articles on social isolation, psychological burden, anxiety, depression and behavioral and life style have been compiled in the paper. The author also has concluded suggesting interventions and researches on the impact of the disease.
Automated Bug Detection for High-level Synthesis of Multi-threaded Irregular Applications

Field Programmable Gate Arrays (FPGAs) are becoming an appealing technology in datacenters and High Performance Computing. High-Level Synthesis (HLS) of multi-threaded parallel programs is increasingly used to extract parallelism. Despite great leaps forward in HLS and related debugging methodologies, there is a lack of contributions in automated bug identification for HLS of multi-threaded programs. This work defines a methodology to automatically detect and isolate bugs in parallel circuits generated with HLS. The technique relies on hardware/software Discrepancy Analysis and exploits a pattern-matching algorithm based on Finite State Automata to compare multiple hardware and software threads. Overhead, advantages, and limitations are evaluated on designs generated with an open-source HLS compiler supporting OpenMP.
A REVIEW OF THE CRITERIA OF THE PREDICTION OF STUDENTS’ CREATIVE SKILLS IN THE VISUAL ARTS EDUCATION

This study aimed to predict the creativity in the painting area of students in visual arts education. This study reviews conducted on the publications. In this review, eight categories were classified related to the creativity by a hierarchical method as follows: definition, components, assessment, measurement, criteria, tests, scoring, and the art. According to the content analysis, the categories were originality, fluency, flexibility, boundary-breaking independent, unconventionality, and perspective which were determined as universal criteria for general content regarding creativity measurement. However, the aesthetic, technical skill, imagination, elaboration, closure, and idea generation were identified as specific criteria for the creativity measurement regarding the painting in the visual arts education. This review study indicated that the creative skills of students in the visual arts education can be predicted by the criteria in which a combination of the universal and specific criteria inclusively.
Livestock depredation by large carnivores in the South Gobi, Mongolia

Abstract Context. Livestock depredation is a major conservation challenge around the world, causing considerable economical losses to pastoral communities and often result in retaliatory killing. In Mongolia, livestock depredation rates are thought to be increasing due to changes in pastoral practices and the transformation of wild habitats into pasture lands. Few studies have examined the interactions between humans and carnivores and even fewer have considered how recent changes in pastoral practices may affect depredation rates. Aim. This study aimed to assess the influence of herding practices on self-reported livestock losses to snow leopards and wolves in two communities in South Gobi, Mongolia. Methods. In total, 144 herder households were interviewed and an information-theoretic approach was used to analyse the factors influencing self-reported livestock losses to snow leopards and wolves. Key results. The majority of self-reported losses to both snow leopards and wolves occurred when herds were left unattended in the pastures. The economic loss associated with livestock losses to snow leopards and wolves amounted to an average loss of US$825 per herder and year. The number of livestock owned by a household and the frequency of shifting campsite had the strongest influence on livestock losses to snow leopards and wolves. Other determinants of livestock losses included frequency of visiting the soum (county) centre. Implications. On the basis of the findings, we make recommendations for mitigating the conflict with large carnivores, with focus on guiding future herding practices.
Reducing cloud contamination in AOD measurements

Abstract. We propose a new cloud screening method for sun photometry that is designed to effectively filter thin clouds. Our method is based on a k-nearest neighbour algorithm instead of scanning timeseries of aerosol optical depth. Using ten years of data from a precision filter radiometer in Innsbruck, we compare our new method and the currently employed screening technique. We exemplify the performance of the two routines in different cloud conditions. While both algorithms agree on the classification of a datapoint as clear or cloudy in a majority of the cases, the new routine is found to be more effective in flagging thin clouds. We conclude that this simple method can serve as a valid alternative for cloud detection, and discuss the generalizability to other observation sites.
Analysis of the spatial variation in the abundance of lesser rheas using density surface models

Abstract Context. The study of the spatial variation in abundance of wild populations and the identification of factors explaining the observed patterns are key both to understand aspects of basic ecology and the effects of human activities. This is usually difficult to evaluate for low-density and widely distributed species, such as the lesser rhea (Rhea pennata pennata), an endemic bird from South America. Recent advances in spatial modelling such as the density surface models (DSM) combine distance-sampling procedures with modelling techniques to produce maps of spatial variation in abundance, and its relationship with predictive variables. Aims. We aimed to analyse the spatial distribution and abundance of lesser rhea, and the variables that affect its abundance in Península Valdés (PV) Argentine Patagonia. Methods. We conducted 338.4 km of ground surveys of lesser rheas in PV during the end of the Austral summer of 2015. Spatial models were constructed using DSM. Ecological and human-related variables were included in the models to account for variation in the abundance of animals at 4-km2 spatial resolution. Key results. We estimated an overall density of 0.44 birds km–2 (CV = 32%) for the prediction area of 3320 km2. High values of normalised difference vegetation index, a correlate of plant productivity, were associated with increased numbers of lesser rheas. The location of ranch buildings, indicators of human presence, had a strong negative effect on lesser rheas, although their abundance increased at high sheep stocking rates. Conclusions. As reported by previous studies in different sites, the abundance of lesser rheas in our study area was low. The use of DSM allowed a detailed examination of the spatial variation, as well as the variables involved and the uncertainty of the prediction. Implications. The use of DSM techniques can be a useful tool for conservation planning and monitoring. Spatial, high-resolution data combined with knowledge on the factors affecting the number of animals are crucial to target specific conservation actions and monitor their results, and should allow government agencies to make better decisions concerning conservation-oriented management.
Self-Efficacy of the University Students’ Toefl Performance: Differences in the Test Skill and English Skills in Toefl

This study aimed at reporting differences in terms of the university students’ TOEFL self-efficacy in the test skill and the English skills tested in TOEFL namely listening, structure, and reading. In conducting the study, the explanatory sequential mixed method was used as the study design, where the quantitative data from the survey was conducted first followed by the follow-up interview as the qualitative data. To collect the data in this study, a specifically designed self-efficacy questionnaire of TOEFL was distributed to the total sample of 200 university students across different disciplines from Syiah Kuala University and the University of Serambi Mekkah. The interview was then conducted with 3 selected students to have a deeper understanding of the study result. In terms of the data analysis, one-way ANOVA and t-test were used to describe the quantitative data, while the qualitative data was described and elaborated in words with detailed explanations. The result showed that there was a significant difference among the test skill and the English skills in TOEFL, where F= 13.61 (3, 796), p<0.05. The result also revealed that within the gender, only reading skill had a significant difference, where t198= -2.003, p <. 005, and within the language course participation, all the test skills and TOEFL skills were significantly different as the p-value of each skill was smaller than . 005 (p< .005).
Effect of Processing Methods on the Proximate Composition, Total Phenols and Antioxidant Properties of Two Mushroom Varieties

Mushrooms are traditionally consumed as food and are known to possess nutritional and medicinal properties. However, the choice of processing methods for mushrooms are often based on preference rather than the impact on nutritional or health benefits. The effect of solar drying, steaming and roasting on the proximate, phytochemicals and antioxidant activity of two mushroom varieties (Termitomyces schimperi and Volvariella volvacea) were investigated. Proximate analysis and phytochemical screening were carried out using standard protocols. The total phenols content and antioxidant activity were determined by means of Folin-Ciocalteu method and 1, 1-Diphenyl-2-picryl-hydrazyl (DPPH) assay, respectively. Results indicate that both processing methods and varietal differences had effects on nutrient composition of mushrooms. Solar drying retained most nutrients in both varieties. Dried T. schimperi had the highest protein content of 29.09 % whereas dried V. volvacea had the highest carbohydrate and ash contents of 60.71% and 5.56 %, respectively. Steamed mushrooms retained moisture and had the lowest carbohydrate content with steamed V. volvacea having the highest moisture and lowest carbohydrate values of 91.15% and 54.71%, respectively. Roasting also showed a high protein content of 28.65% in T. schimperi and a high carbohydrate of 58.65% in V. volvacea. None of the processing methods however had a significant effect on fat and fibre contents of both varieties used. The phytochemicals tested were present in both varieties in the processed and unprocessed forms. The steamed extract was the strongest scavenger of DPPH with 50 % inhibitory concentration (IC50) value of 3.03 ± 0.40 mg/mL whereas the unprocessed extract had the least effect with IC50 value of 9.35 ± 0.42 mg/ml. Similarly, the steamed extract recorded the highest total phenol content with value of 1644 ± 39 mg GAE/100 g whereas the unprocessed extract was the lowest with value of 1336 ± 93 mg GAE/100 g respectively. The present findings suggest that steamed mushrooms possess the highest antioxidant activity.
Three new species and new records of cuckoo bees of the genus Epeolus in Turkey (Hymenoptera: Apidae: Nomadinae)

Three new species of cuckoo bees of the genus Epeolus Latreille, 1802 are described: E. turcicus sp. nov., E. warnckei sp. nov., and E. productuloides sp. nov., all from the Eastern Anatolia Region of Turkey. Descriptions of E. turcicus and E. warnckei are based on both sexes whereas the description of E. productuloides is based on males only (females of this species are presently unknown). Additional records based on vouchered pinned material are reported for eight species, of which Epeolus alpinus Friese, 1893 was until now not known to occur in Turkey. Altogether, 14 species of Epeolus have been recorded from Turkey, of which E. cruciger (Panzer, 1799), E. productulus Bischoff, 1930, E. schummeli Schilling, 1849, E. transitorius Eversmann, 1852 and E. variegatus (Linnaeus, 1758) are widespread and common. Triepeolus tristis (Smith, 1854) is the only other member of the tribe Epeolini recorded from Turkey.
Computational Identification of Media Frames: Strengths, Weaknesses, and Opportunities

ABSTRACT With the availability of large volumes of electronic communications data and the increasing sophistication of computational techniques, the development of automated approaches for different kinds of framing analysis is an important goal of researchers. There is as yet no standard method for the “unsupervised” inductive identification of frames based upon the content of articles. Three groups of core approaches underlie a wide range of work in this area, and we compare three techniques based on these approaches against each other and against manual human analysts. The three techniques are a k-means clustering algorithm together with a sophisticated natural language processing (NLP)-based feature selection process; evolutionary factor analysis (EFA), a factor analysis approach; and the structural topic model (STM). We use two datasets – one very focused and one extremely broad – as examples of the kind of frame analysis problems readers may wish to attempt. Even in a highly targeted dataset, we find some distance between the frames generated by computational analysis and those manually produced by our human analysts. The details of each method have a substantial impact on frame quality and interpretation. We find that the STM approach is the most effective for our narrow-scope dataset, but that it returns definite topics, and not frames, when working on our very broad dataset. We also show that we can get results emphasizing different parts of the framing problem by combining parts of different methods as a multi-stage process, rather than viewing available methods as simple plug-and-play models.
Seq-to-NSeq model for multi-summary generation

Summaries of texts and documents written by people present a high variability, depending on the information they want to focus on and their writing style. Despite recent progress in generative models and controllable text generation, automatic summarization systems are still relatively limited in their capacity to both generate various types of summaries and capture this variability from a corpus. We propose to address this challenge with a multi-decoder model for abstractive sentence summa-rization that generates several summaries from a single input text. This model is an extension of a sequence-to-sequence model in which multiple concurrent decoders with shared attention and embeddings are trained to generate different summaries that capture the variability of styles present in the corpus. The full model is trained jointly with an Expectation-Maximization algorithm. A first qualitative analysis of the resulting de-coders reveals clusters that tend to be consistent with respect to a given style, e.g., passive vs. active voice. The code and experimental setup are released as open source.
Searching for eclipsing binaries in the area of RA: 02h21m36s, Dec: +57○11′32″

By analysing the data observed by the Comet Search Programme telescope at Xingming Observatory from 2018 October 11 to 2018 December 19, 24 eclipsing binaries were identified. By cross-matching with the VSX (AAVSO) website, we found that four binaries are newly discovered. By analysing the Transiting Exoplanet Survey Satellite (TESS) data, the light curves of 17 binaries were obtained. First photometric solutions of 23 binaries were obtained by simultaneously analysing all the light curves, except for NSVS 1908107 (first analysed by Pan et al.). Based on the photometric solutions, nine binaries belong to detached binary systems, ten binaries belong to semidetached binary systems, and five binaries belong to contact binary systems. Two W-subtype low-mass ratio contact binaries (the less massive components are hotter), with total eclipsing light curves, were identified: Mis V1395 is a deep contact binary (q = 0.150, $f=80{{\ \rm per\ cent}}$), while NSVS 1917038 is a low-mass ratio binary with an unexpectedly marginal contact degree (q = 1/6.839 = 0.146, $f=4{{\ \rm per\ cent}}$). The total eclipsing detached binary GSC 03698-00022 has an extremely low mass ratio of q = 0.085. The Algol-type binary NSVS 1908107 is also found to have an extremely low mass ratio of q = 0.081. The Algol-type binary DK Per exhibits a continuous period decrease at a rate of dP/dt = −1.26 × 10−7 d yr−1, which may result from the orbital angular momentum loss. Based on the light curves obtained from the TESS data, a pulsating binary candidate (NSVS 1913053) was found.
hMatcher: Matching Schemas Holistically

: Schema matching is critical for applications that manipulate data across heterogeneous, autonomous and scattered data sources. We pick the schema matching approach based on the total number of data sources we wish to integrate: holistic matching approaches are ideally used for a big to a huge total number of data sources, while pairwise matching approaches are ideally used for a small to a medium total number of data sources. Nonetheless, the state of the art matching approaches obtain a very moderate (sometimes poor) matching accuracy. Furthermore, the state of the art holistic schema matching approaches proceed in a series of two-way matching steps. In this paper, we present hMatcher, an effective approach to holistic schema matching. To perform collective schema matching, hMatcher generates frequent schema elements before proceeding with the matching. To reach high matching accuracy, hMatcher employs a context-based semantic similarity measure. Experimental results on a real-world domain dataset show that hMatcher performs holistic schema matching properly, reaches a high matching accuracy (Precision=0.89;Recall=0.66;Overall=0.57), and outperforms the state of the art matching approaches in terms of matching accuracy.
Using the fractional order calculus in the combination of the MIT and Lyapunov stability method

The main idea of the current paper consists in introducing the fractional order calculus in a control system. To control the system, an adaptive control technique with reference model is used. The fractional order models for the plant and reference model are obtained. To achieve the performances imposed by the fractional order reference model, a fractional order adaptive control law is proposed, which is a combination of two methods (MIT and Lyapunov stability). The original contribution in this paper is the use of fractional order calculus in the combined MIT and Lyapunov stability method and showing the dynamic behavior of the system. Several simulations are used to emphasize the effectiveness and benefits of the proposed method.
Fast Median Filter Image Processing Algorithm and Its FPGA Implementation

Aiming at the difficulty of real-time and high-speed processing of the filtering process using software methods in image preprocessing, a fast median filtering algorithm based on FPGA is designed using the parallel processing capability of field programmable gate array (FPGA). Compared with the traditional median filtering algorithm, it has a great improvement, reducing the number of data comparisons and improving the processing speed. From the results of the Matlab and Modelsim joint simulation experiments, it can be seen that the filtering algorithm has a good filtering effect and can be fast, Efficiently filter the image, which helps to improve the quality of image processing.
Effect of Landscape Elements and Structures on the Acoustic Environment on Wildlife Overpasses Located in Rural Areas

The constantly growing number of motor vehicles increases the biodiversity conservation awareness of the public. To this end, numerous compensation measures are implemented, primarily provision of wildlife crossing infrastructure to guide animals over and under transport routes. There are different design aspects that must be considered in the case of wildlife crossings located in rural areas and in forests. An interdisciplinary approach should be employed for the wildlife crossing design, involving specialists from different fields of science. This article deals with the effect of local landscape elements and structures on the acoustic environment on the wildlife overpasses located in rural areas. Several tests were carried out, covering the levels of traffic, improvements around the existing overpasses and the noise distribution on them. For the final analysis, seven overpasses were chosen, differing in terms of the landscape elements and structures present. Five of them included noise barriers of different shapes and lengths and had a flat approach area. Two crossings did not have noise barriers and the approach areas were located in varied terrain. The analysis of the derived sound maps allowed for the determination of the effect of the different landscape elements and structures on the noise distribution on the overpasses under analysis. Earthen berms aligned with the noise barriers and extending to the length defined by the approach area topography were found to be the most effective noise-reducing measure.