Miracle-dz/UniFAR-FTUs huggingface dataset:
Alternative Approaches To Knowledge Discovery in Official Statistics

Statistical agencies accumulate a large amount of data from recurring surveys and administrative records over a number of years. The data is analysed periodically and results are provided to the general public. With the amount of data produced on a regular basis, historical data become more difficult to analyse using standard systems designed for the statistical publications. Users both internal and external to the statistical agencies usually have requests for historical data that is not published. Making information more broadly and easily available to more users throughout the agency and beyond the agency to stakeholders is becoming of a more strategic importance. There are techniques that are available and are considered by Statistics South Africa in an effort to enhance analytical capability for both technical and non-technical users. The techniques considered include online analytical processing (OLAP), dimensionally aware relational schemas, geographic data mining and knowledge discovery. These approaches will help the agency to make the most out of the available data. In order to achieve the best results, development of the statistical indicators for decision support aimed at policy decisions or quality management decisions as well as creation of data marts become essential.
Identification and characterization of a novel abiotic stress responsive sulphotransferase gene (OsSOT9) from rice

ABSTRACT Abiotic stresses may seriously affect plant growth and development. In order to explore new stress tolerance genes in rice (Oryza sativa L.), expression profiles were obtained for leaf and panicle tissues. They were taken at seedling, booting, heading and flowering stages of indica cultivar Pei'ai 64S plants under cold, drought and heat stresses by using the GeneChip Rice Genome Array (Affymetrix), which includes 51,279 transcripts from japonica and indica rice. O. sativa L. cytosolic sulphotransferase-like gene (OsSOT9) was highly induced in leafs and panicles during different developmental stages, in response to all stresses, especially at booting stage under cold stress. The quantitative real-time polymerase chain reaction analysis showed that this result was almost consensus with GeneChip Rice Genome Array. cDNA of OsSOT9 was cloned to study its function in stress tolerance through reverse transcription PCR. Sequence analysis showed that the cDNA encoded a protein with molecular weight of about 37.78 kDa and pl of about 6.6, which was composed of 343 amino acid residues. Bioinformatics data showed that the protein contained a conservative domain of the sulphotransferase (SOT) family gene. OsSOT9 was found to be closely related to the cytosolic sulphotransferase after comparison of the protein sequences. Analysis of the putative promoter region found 12 kinds of cis-elements related to stress response. On the basis of the above analyses, we suggested that OsSOT9 is a novel candidate gene involved in stress tolerance in rice.
Brain drain – current conditions and perspectives

It can be safely confirmed that there may be no other problem in modern living, which with its multidimensional determination and conditionality no longer shakes, disturbs social, institutional and personal perspectives. It is a brain drain as a specific form of migration that implicitly refers to the outflow of the most highly educated, gifted, talented, creative potential possessing professional and personal competencies. The study focuses on the analysis of the situation and the perspectives related to the brain drain which, because of its far-reaching unpredictable, uncontrolled and uncertain implications and repercussions, acquires the legitimacy of a planetary phenomenon. The subject of research in the study is an analysis of the situation and the perspectives that refer to the brain drain from the aspect of the young population based on the examination of the opinion of the examined people regarding the psychological factors for the brain drain. The main goal of the study is to identify and actualize the implicit and explicit factors and assumptions that determine this phenomenon. In the research we start from the general hypothesis that the brain drain is not determined only by material-existential, social and other reasons. The sample in the survey consists of 300 examined people who are part of the student population from 3 universities in the Republic of North Macedonia.
Volatility of High-Frequency Returns on Foreign Exchange and Stable Innovations

Many models in finance are often based on the assumption that the random variables follow a Gaussian distribution. It is now well known that empirical data have frequently occurring extreme values and cannot be modeled with the Gaussian distribution. The stable distributions, a class of probability distributions that allow skewness and heavy tails, have received great interest in the last decade because of their success in modeling financial data that depart from the Gaussian distribution. This study examines the statistical distributions of intra-daily TRY/USD foreign exchange changes. The volatility of the return series are calculated using the Stable GARCH models. It is found that the GARCH model with stable innovations fits returns better than the Normal distribution.
Mushrooms: Natural factory of anti-oxidant, anti- inflammatory, analgesic and nutrition

Mushrooms have been consumed as food items and medications since earliest history; old Greeks had a strong faith that mushrooms gave strength to warriors in fight and the Romans saw them as the "Food of the Gods". For hundreds of years, the Chinese culture has treasured mushrooms as a wellbeing nourishment, an "elixir of life. " They have been a piece of the human culture for thousands of years and had been the item of considerable interest for the most essential civic establishments in history on account of their sensory attributes. Likewise, they additionally incorporate numerous bioactive metabolites which make mushrooms and truffles regular parts in medication, particularly in Africa, the Middle East, China and Japan. It is accounted for and in some cases have demonstrated that mushrooms have numerous pharmacological and remedial activity including anti-oxidant, anti-cancer, antiinflammatory, analgesic, nutraceutical and numerous others. However, this attempt has been made to concentrate on the short reviews of anti-oxidant, anti-inflammatory, analgesic and food values of mostly used mushrooms all over the world.
Identification of betulinic acid in ethanol extract of Vitellaria paradoxa leaves using spectroscopy and high-performance liquid chromatography

Vitellaria paradoxa tree contains antioxidant and anti-inflammatory agents. Betulinic acid (BA) is an important phytochemical. This study analysed the presence of BA in ethanol leaf extract of V. paradoxa by ultraviolet (UV) infrared (IR) and High-performance liquid chromatography (HPLC) techniques. The UV spectrum of the extract shows five prominent frequencies at 402.20nm, 274.00nm, 479.00nm, 345.00nm and 257.20nm, while BA standard shows two frequencies. The IR analysis of the extract showed six prominent values, 3322.9 cm-1, 2929.7 cm-1, 2838.4 cm-1, 1654.9 cm-1, 1449.9 cm-1 and 1015.7 cm-1, comparable to the standard BA. The HPLC profile of the extract revealed seven peaks, whose retention times were 1.582 min, 2.046 min, 2.580 min, 3.124 min, 4.536 min, 5.085 min and 5.420 min, some of which are comparable to the standard BA. In conclusion, this study indicates the presence and possibility of extraction of BA from the leaves of V. paradoxa.
Dynamic Output Controller with Sample-Time Gain Adjustment for a Double Inverted Pendulum System Stabilization

In this paper, we propose a control method to stabilize the double inverted pendulum on car system (DIPCS). The DIPCS is a prismatic type inverted pendulum system that has a base-link and two interconnected pendulums with different lengths. The proposed control methodology does not require the knowledge of the dynamic model and under assumption that not all state variables are available to be measured. Stabilization around the upper unstable equilibrium is one of the most important control problems for the DIPCS. Then, in order to stabilize the DIPCS at its upright position, it is used an adaptive dynamic feedback controller. Moreover, the adaptive approach is based on full dynamics of the output feedback controller. Finally, our proposal is such that guarantees the boundedness of the obtained deviations of error state function by means of the concept of the UUB (Uniform-ultimately bounded) stability. Since any bounded dynamics can be imposed inside of a multidimensional ellipsoid, we suggest the gain tuning of the adaptive controller providing that all possible trajectories of the DIPCS arrive into a small size ellipsoid.
Molecular characterization of biocontrol isolates of Trichoderma aureoviride

Trichoderma has gained immense importance since last few decades due to its biological control ability against several plant pathogens. Twenty isolates of T. aureoviride were collected from different geographical locations of Chhattisgarh. Molecular characterization of isolates of T. aureoviride revealed homogeneity with ITS primer (internal transcribed spacer). In the present study the genetic relatedness among twenty isolates of Trichoderma aureoviride was analyzed by using sixteen gene specific markers. PCR amplification with ITS primers showed homogeneity of all T. aureoviride isolates indicating that they belong to the same species. Six different chitinase gene specific primers produced amplification of chitinase genes in almost all T. aureoviride isolates except one of the exochitinase encoding gene (Nacetyl-glucosaminidase), nag70 based primer Nag70F-R and two endochitinase encoding gene specific primers Ech42-2F-R and Ech42-3F-R that could not amplify any of the isolates of T. aureoviride. PCR amplification of fragments of cellulase gene using CBH1 primer amplified a nucleotide fragment of the expected size from some isolates while PR808-PRegl4 primer pair amplified 340, 140 & 100 bp bands in all the isolates. Primer pair fRPB2-5F2fRPB2-7cR2 generated major band above 1000 bp confirming the amplification of a 1.2-kb fragment of subunit 2 of the RNA polymerase B gene (RPB2) containing an ITS-like region. Almost all the isolates showed the presence of endochitinase and cellulose gene fragments which proves their ability to antagonize phytopathogens.
Noise kernels of stochastic gravity in conformally-flat spacetimes

Abstract The central object in the theory of semiclassical stochastic gravity is the noise kernel which is the symmetric two point correlation function of the stress-energy tensor. Using the corresponding Wightman functions in Minkowski, Einstein and open Einstein spaces, we construct the noise kernels of a conformally coupled scalar field in these spacetimes. From them we show that the noise kernels in conformally-flat spacetimes, including the Friedmann-Robertson-Walker universes, can be obtained in closed analytic forms by using a combination of conformal and coordindate transformations.
Optimal Stein Rule in Spherical Models

In this approach, we construct the necessary and sufficient conditions in order a JamesStein type estimator outperforms the minimax estimator of the mean. Particularly we consider a class of spherically symmetric distributions and derive the dominating conditions under the quartic loss function. Multivariate Student’s t and Slash distributions as two examples are also considered for checking the efficiency of the proposed model and specifying theoretical requirements.
Antifungal Activity of Methanolic of Centella asiatica and Andrographis panicuiata

The antifungal activity of methanolic extracts of Centella asiatica and Andrographis panicuiata leaves was observed against fourteen fungi, viz., Alternaría alternata, A. brassicae, A. brassicicola, A. solani, A. tenuissima, Cercospora blumae, Curvularia lunata, C. penniseti, and Drechslern monoceras, D. oryzae, D. turifica, Fusarium albizziae and F udum. Different concentrations of the methanolic extract (1000, 2000, 3000, 5000, 7000, 10000ppm) were used. The effect of mixed leaf extract (1500 ppm of C. asiatica + 1500 ppm of A. panicuiata) and its 1:2 ad 1:4 dilutions were also studied. The individual extracts of both the plants showed significant inhibitory effect on spore germination of all the fungi tested. F udum, F. albizzae, D. oryzae, D. natica, and D. monoceras were particularly sensitive to these extracts. In general, the extract of C. asiatica showed a higher inhibitory effect in all concentrations against all the fungi as compared to A. panicuiata, except for A. brassicae A. solani, D. oryzae, D. penniseti and Curvularia sp. The inhibitory effect of extracts increased when they were used in combination with or without dilutions against A. brassicicola, A. solani A. brassicae, A. alternata, A. tenussima, C. blumae, C. lunata, C. penniseti and Curvularia species. Higher efficacy of active ingredient of these extracts under field condition is envisaged against plant pathogens.
Maps as Decision Support Tool in Political De- cision Processes

The research project “geoBudget” maps the expenditures of a local authority in order to show decision-makers the spatial impact of their actions. The question (departing from the cartographic action theory) is, if decision-makers at local level are interested in the spatial dimension and if yes, to which extent it plays a role in their decision making. Furthermore, the aim of the project is to compare different types of maps in order to show how local politicians can be supported best. The research methods are an online survey and an eye tracking study. The results are very heterogeneous. The participants can be divided into two groups: one group generally is interested in the use of maps, the other group shows no interest. The general interest has more influence on people's answer behavior than other factors (e.g. actor groups, age, experiences).
Limits to Dietary Nutrient Intake and Intestinal Nutrient Uptake in Lactating Mice

In a previous study of lactating mice we experimentally varied litter size up to 26 pups. We found that mothers' food intake at peak lactation increased with litter size up to a maximum weanable litter size (14pups). That intake corresponded to a sustained metabolic scope (ratio of sustained to basal metabolic rate) of 7.2. Did that food intake represent a ceiling on intake and sustained metabolic rate, or would intake have increased even further if lactation had been extended (so that the mother mouse was still providing all the nourishment for her growing pups) beyond 15 d? To answer this question, we prolonged lactation to 24 d, using a cage with food at the top of a ladder that only the mother could climb. Pup and litter mass increased 39%-44%, but the mother's intestinal mass and uptake capacities for glucose and proline did not increase beyond their values at day 15. Food intake for mothers of either eight or 14 pups at day 24 was the same as reported for mothers of 14 pups at day 15. Thus, the observed food intake appears to represent a ceiling for lactating mice (under our experimental conditions). It remains to be determined whether that ceiling is imposed by the intestine itself or something else (e.g., by milk production), and whether it applies to other types of demand.
Towards intelligent incident management: why we need it and how we make it

The management of cloud service incidents (unplanned interruptions or outages of a service/product) greatly affects customer satisfaction and business revenue. After years of efforts, cloud enterprises are able to solve most incidents automatically and timely. However, in practice, we still observe critical service incidents that occurred in an unexpected manner and orchestrated diagnosis workflow failed to mitigate them. In order to accelerate the understanding of unprecedented incidents and provide actionable recommendations, modern incident management system employs the strategy of AIOps (Artificial Intelligence for IT Operations). In this paper, to provide a broad view of industrial incident management and understand the modern incident management system, we conduct a comprehensive empirical study spanning over two years of incident management practices at Microsoft. Particularly, we identify two critical challenges (namely, incomplete service/resource dependencies and imprecise resource health assessment) and investigate the underlying reasons from the perspective of cloud system design and operations. We also present IcM BRAIN, our AIOps framework towards intelligent incident management, and show its practical benefits conveyed to the cloud services of Microsoft.
Development of Mung Dal based instant soup mix fortified with Moringa: A review

As the population increasing competition is also increasing and for maintaining this status people stay away from home for the purpose of study and employment, so the demand of Ready to Eat, Ready to Cook and Ready to serve foods is also rising day by day. Between all this, instant soup powders have gained the attraction of the consumers due to its ease in preparation. The present study was carried out with the objective to develop an instant soup mix from Mung Dal Powder, Moringa Leaves powder, Onion powder, Garlic powder, Ginger Powder, and Spice powder mix with other ingredients. The prepared product samples were evaluated for sensory evaluation quality and shelf life. Due to the dehydration and drying process it contains less moisture hence can be stored for more time than usually homemade soups. It gives us an idea about how much Mung Dal Powder, Moringa leaves powder and other ingredients can be incorporated to get the best soup mix of desired health benefits and without compromising on taste and odour. Preparation of the soup mix is so easy that it can be termed as comfort healthy soup mix.
Brief History of Agricultural Systems Modeling

Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the “next generation” models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of this history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods.
Using an Urban Snow Cover Composition-Based
Cluster Analysis to Zone Krasnoyarsk Town
(Russia) by Pollution Level

Pollution level and distribution are among key indicators of townspeople’s life quality and accurate pollution estimation and town pollution zoning proceeding from these estimates are, therefore, challenging problems to be solved for big cities with highly developed industries. We carried out an integrated assessment of some pollutants for Krasnoyarsk Town using the 2018 snow cover chemical composition data and zoned the town by pollutant accumulation by cluster analysis. The resulting zoning based on the simultaneous use of pollutant-specific data was visualized using GIS and quantitatively confirmed the general public view of most districts of the town as being extremely adverse ecologically. Unlike most studies, where decisions on pollution zone boundaries are either intuitive, or made out of so-called “general considerations”, the cluster analysis-based methodology applied in this study enabled to approach this problem algorithmically, i.e. to avoid a priori assumptions. The analysis we carried out based on the results of our original experimental research approach that involved a uniform methodology of snow sampling and analysis in the lab combined with state-of-the-art methods of data processing and result visualization, revealed snow cover to be an informative recorder and effective tool to obtain a picture of integrated pollution of urban areas.
A SURVEY ON GRAPH BASED APPROACHES IN SENTIMENT ANALYSIS

: Sentiment Analysis is a computation of opinions or sentiments and subjectivity of text or from the generic and specialized social media like Facebook, Twitter and LinkedIn respectively. Sentiment analysis helps in achieving various goals like observing public mood regarding political effort, market intelligence, the measurement of customer satisfaction, movie sales prediction and many more. Massive amount of information related to customer opinions or reviews is quite burdensome to be evaluated. Sentiment analysis systems allows companies to make sense of this sea of unstructured text by automating business processes, getting actionable insights, and to save hours of manual data processing, in other words, by making teams more efficient, scalable, real time analysis and consistent criteria. The sentimental analysis is done by using various algorithms like rule based, automatic systems and hybrid systems. The different approaches of graph based sentiment analysis are discussed for the improved performance, computation, and storage and accuracy prediction in the sentiment classification.
Study of genetic variability, heritability and path analysis for grain micronutrients concentration, yield and component traits in pearl millet (Pennisetum glaucum (L.) R. Br.)

Present study was undertaken among 48 diverse pearl millet genotypes in 2 replications in randomized complete block design (RCBD) for genetic variability, heritability, genetic advance as per cent of mean along with path analysis of grain micronutrients concentration, yield and its component traits. The analysis of variance showed highly significant differences among the genotypes for most of the characters studied, indicating the presence of adequate variability. The phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) signifying influence of environment on the expression of all the characters studied. Moderate to high PCV and GCV were recorded for most of the characters. High to moderate heritability coupled with moderate to high genetic advance as per cent of mean were observed for the plant height, panicle length, panicle girth, panicle weight, grain yield per plant, grain iron (Fe) and zinc (Zn) content revealed the characters are predominantly governed by additive gene action and phenotypic selection for these characters will be effective. Characters like dry fodder yield per plant, panicle weight, plant height and panicle length were shown high positive direct effect on grain yield per plant can be directly used for improvement of pearl millet.