Miracle-dz/UniFAR-FTUs huggingface dataset:
Micropattern of halophytic vegetation on technogenic soils affected by the soda industry

Abstract The properties of technogenic soils affected by the soda industry are significantly different from natural saline soils occurring in Poland. The long-term impact of post-production waste contributed to the formation of extremely saline soils rich both in sodium chloride (NaCl) and calcium chloride (CaCl2). Despite the strong degradation, these soils play a very important role in the urban ecosystem, because they can provide a habitat for very unique halophytic species. Therefore, in this study, we examined how environmental factors control the micropattern of halophytic vegetation in analyzed industrial soils in Poland. It was hypothesized that species distribution and vegetation variation can be affected by different environmental factors at the local scale. The current study was carried out on three test plots of different microelevation and vegetation cover. In general, Salicornia europaea L. was the most dominant species on each plot, but besides patches dominated only by this species, the other major and distinguished constituents were Puccinelia distans, (JACQ.) PARL. Aster tripolium L. and Triglochin maritima L. Finally, the general vegetation–environmental statistical model (direct ordination–redundancy analysis) was created. The results demonstrated that very diverse microtopography and soil conditions within very small areas were ecologically important. The driving factors for species distribution on each plot were slightly different because of the local differences in environmental conditions. The generalization of vegetation–environment relations performed for all plots together demonstrated that significant, and the most important, factors for plant species distribution in the investigated area were elevation and parameters determined in the saturation paste extracts such as reaction (pHe), chloride content (Cl-) and saturation percentage (SP). As a general rule, species preferred elevated parts of the lower salinity (ECe) and the lower concentration of chloride (Cl–) ions. S. europaea was present at relatively higher salinity compared to A. tripolium, T. maritima and P. distans. Moreover, the presence of P. distans was related to the relatively higher soil pH. The obtained results in the association context present the factors responsible for species variation within the Salicornia europaea plant community, which can be particularly important for restoration of its natural stands.
EFFECT OF SUBSTRATE MIXTURE AND BIO-STIMULANTS ON GROWTH, FRUITS QUALITY, YIELD AND NUTRIENTS CONCENTRATIONS OF STRAWBERRY PLANTS

Two field experiments were carried out at Modern Agricultural company farm, of PICO Company, Al-Tahrir Directorate, Badr Center, Behaira, during winter seasons of 2015/2016 and 2016/2017. The experiment was to study the effect of different substrate combinations and bio-stimulants on strawberry growth, fruits quality, yield and nutrients concentration under soilless culture system. The trail included 12 growing media in soilless culture system as follow: modern coco peat at ratio 100%, old coco peat + perlite at ratio 1:3 (v/v), old coco peat + sand at ratio 1:3, old coco peat + perlite + sand at ratio 2:2:1, rice straw + perlite at ratio 1:3, rice straw + sand at ratio 1:3, rice straw + perlite + sand at ratio 2:2:1, peat moss + perlite at ratio 1:3, peat moss + sand at ratio 1:3, peat moss + perlite + sand at ratio 2:2:1, old coco peat + sand at ratio 1:1 and rice straw + sand at ratio 1:2 for planting fresh seedling of strawberry. Strawberry foliar in each medium was sprayed three times using 3 biostimulants compared with control as follow: amino acids at rate 2ml/l water, seaweed extract at rate 5ml/l water and EM (Biogen: Azotopacter sp. + Azosperillium sp., Phosphoren: Bacillus megaterium and Potassiumag: Bacillus circulans, with total bacteria count 106:108) at rate 4ml/l water. A randomize complete block design with two factors was used for analysis all data with three replications for each parameter. The results indicated that the highest value of crown diameter, fruit weight and fruit length was recorded with using modern coco peat as growing medium, whereas the highest plant height and K% was noticed with using rice straw with perlite and sand or with using rice straw with sand only at ratio 1:2. Also, using old coco peat + perlite as growing medium gave a significant increment in marketable fruit yield. Regarding bio-stimulants application, using EM stimulator gave a significant improvement in crown diameter, marketable fruits yield, fruit quality, N% and P% in strawberry leaves followed by seaweed extract.
Model-Based Optimization of Particle Size Distribution in Batch-Cooling Crystallization of Paracetamol

The control objectives of batch crystallization processes are often defined in terms of particle size distribution (PSD), or properties related to the PSD, viz. average particle size, product filterability, dry solids flow properties, etc. To achieve these control objectives, a constrained nonlinear model-based optimization strategy has been adopted. This involves the detailed modeling of batch crystallization including model validation and parameter estimation, on-line monitoring of supersaturation and PSD, and the application of optimization strategies. A deterministic population balance model accounting for solution thermodynamics, crystal growth, and nucleation has been developed. State estimation is achieved by the on-line monitoring of temperature, concentrations in the liquid phase, particle density, and PSD. For this purpose, the focused beam reflectance measurement (FBRM) provides an on-line, in-situ information of crystal size and particle concentration in the form of a chord length distribution.
The Examination of Information Sharing Levels of Academicians Working in the Field of Sports Sciences

The aim of this study was to examine the information sharing levels of academicians working in the field of sports sciences in terms of various variables. A total of 279 academicians, 212 male (76%) and 67 female (24%), working in the field of sports sciences voluntarily participated in the study. The average age of the participants was determined as X̄year= 38.83 ± 8.85. The "Personal Information Form" created by the researcher and the "Information Sharing Scale" developed by Öneren, Çiftçi and Harman (2016) were used as data collection tools in the study. Before proceeding to the analysis Sportif Bakış: Spor ve Eğitim Bilimleri Dergisi, 7(2): 211-222, 2020 Araştırma Makalesi www.sportifbakis. com E-ISSN: 2148-905X doi: 10.33468/sbsebd.149 212 process, it was tested whether the data provided the assumption of normality or not and it was seen that it was suitable for parametric tests. In this context, independent samples t-test and one-way anova were used in data analysis. It was determined that there is a significant difference between the inter-employee, individual and institutional information sharing sub-dimensions of the information sharing scale in terms of gender and the departments they work in only the institutional information sharing sub-dimension (p <.05). As a result, although the level of information sharing in the research group produced institutionally meaningful results, it was seen that the overall study was not sufficient and meaningful. Therefore, with this study, it was emphasized the need to review and strengthen the information sharing patterns and practices that are thought to affect the organizational effectiveness and efficiency of higher education institutions that undertake the mission of producing and sharing information in the field of sports sciences.
Navigation and guidance strategy online planning and execution for autonomous UAV

Eﬃcient path planning for autonomous Unmanned Aerial Vehicles (UAVs) in cluttered environments is a challenging decision-making problem under uncertainty. Recently, Mixed-Observability Markov Decision Processes (MOMDPs) have been proposed to solve such navigation problems with the goal of reducing computational eﬀort. In this work, a Partially Observable Stochastic Shortest Path (PO-SSP) planning problem is modelled as a MOMDP. The resulting model enables the planner to deal with a priori probabilistic sensor availability and path execution error propagation, which depend on the navigation and guidance solution used. This approach results in a large and complex path planning problem to be solved. To address this issue, a goal-oriented variant of the Partially Observable Monte-Carlo Planning (POMCP), one of the fastest online state-of-the-art Monte-Carlo Tree Search algorithms for partially observable environments, is used. It relies on the Upper Conﬁdence Bounds (UCB1) as an action selection strategy, which depends on a coeﬃcient typically adjusted manually that requires an exhaustive search to ﬁnd the most suitable value. This exhaustive search applied to such a complex planning problem may be extremely time consuming. Therefore, dynamic coeﬃcients are proposed as a ﬁrst contribution of this dissertation. A second contribution is to incorporate this navigation and guidance strategy in a planning-while-executing framework. The resulting structure provides strictly anytime solutions, while exploiting action execution time to anticipate and plan future states, minimizing the overall duration of the mission. Simulations performed in Gazebo allow to evaluate the performance of this structure.
STUDIES ON EFFECT OF SELECTED FUNGICIDES, BOTANICALS AND ANTAGONISTS AGAINST TRICHODERMA HARZIANUM UNDER IN-VITRO CONDITION

Present investigation aimed at finding the best methods to bring Trichoderma harzianum, causes green mould disease in oyster mushroom (Pleurotus florida), under control by evaluating the efficacy of various chemicals, botanicals and antagonists under different concentrations. Chemicals namely Carbandazim and Hexaconzole at 3 different concentrations viz., 100, 150 and 200 ppm were used, in which Carbandazim demonstrated best efficacy against T. harzianum mycelium under in-vitro condition with maximum average mycelium inhibition of 95.27% with least suppression of P. florida mycelium at 33.652% mean inhibition. As for Botanical extracts, neem (Azadirachta indica) leaf extract and Lantana camara leaf extract were studied in vitro, whereby L. camara showed higher efficacy against T. harzianum mycelium with mean inhibition of 34.02%. Novel concept of utilizing antagonistic properties of Bacillus subtilis and Pseudomonas fluorescence were tested using dual culture technique. Both were statistically identical in their results with P. fluorescence showing relatively better In-vitro efficacy with mean mycelium inhibition of T. harzianum at 43.545% and much lower mean inhibition against P. florida at 7.95%.
Will You Come Back / Check-in Again?

Recent years have witnessed much work unraveling human mobility patterns through urban visitation and location check-in data. Traditionally, user visitation and check-in have been assumed as the same behavior, yet this fundamental assumption can be questionable and lacks supporting evidence. In this paper, we seek to understand the similarities and differences of visitation and check-in by presenting a large-scale systematic analysis under the specific setting of urban revisitation and re-check-in, which demonstrate people's periodic behaviors and regularities. Leveraging a localization dataset to model urban revisitation and a Foursqaure dataset to delineate re-check-in, we identify features concerning POI visitation patterns, POI background information, user visitation patterns, user preference and users' behavioral characteristics to understand their effects on urban revisitation and re-check-in. We examine the relationship between revisitation/re-check-in rate and the features we identify, highlighting the similarities and differences between urban revisitation and re-check-in. We demonstrate the prediction effectiveness of the identified characteristics utilizing machine learning models, with an overall ROC AUC of 0.92 for urban revisitation and 0.82 for re-check-in, respectively. This study has important research implications, including improved modeling of human mobility and better understanding of human behavior, and sheds light on designing novel ubiquitous computing applications.
From optimism to pessimism: The stability of the Euro FX market in the short and long run

Abstract. We review the EU’s actions over the euro’s lifetime; since its introduction thru to the populist uprising of the late 2010s. The euro was introduced on a wave of optimism throughout the EU, although based on a compromised monetary agreement. Essentially, underlining the crisis and movement from optimism to pessimism in the EU integration road. Thus, it is hard to analyse the euro without reviewing the theories influencing this road. Furthermore, we analyse the long and short-run market stability of the euro FX market using the variance bound model of (Fakhry & Richter, 2018). However, it is difficult to explain the market analysis without referencing behavioural finance. Thus we use key elements of behavioural finance, such as the opposite scale behaviours of greed and fear, to fully explain the timeline analysis of the euro FX market stability in both the long and short runs. At first glance, the result was unexpected due to the critical factor that the market was significantly volatile in the long run; despite conventional wisdom dictating that in the long-run, the financial markets are generally stable. One possible explanation is that the market participants are fearful of the long-run future of the Euro. Keywords. Behavioural Finance, EU Integration, Euro, Euro Crises, Long/Short Run, Market Stability. JEL. C58, D81, G01, G02, H77.
UNDERSTANDING THE GAMMA-VACUOLAR PROCESSING ENZYME GENE REGULATION BY PROMOTER-GUS FUSION APPROACH

Vacuolar processing enzymes (VPEs) are vacuole localizing cysteine proteinase, responsible for the maturation of seed storage proteins in plants and are also known to be involved in programmed cell death. In the present study, an attempt has made to understand the regulatory mechanism of AtγVPE gene expression by studying promoter region of AtγVPE. We isolated approximately 1.2 kb fragment upstream of the initiation codon of γVPE gene sequence and deletion mutations were made from 5’ end of promoter region, fused with GUS reporter gene to analyze the transient GUS activities in Nicotiana benthamiana leaves. The full-length promoter (1282 bp) was found to show lower GUS activity in comparison to the deletion fragments. However, P6 (-349 bp) promoter had the maximum activity and on further deletion the activity reduced, with little or no activity in P8 (-176 bp), signifying P6 having the maximal promoter activity. In-silico analysis revealed the presence of several putative cis-regulatory elements in the promoter region, including hormone-responsive elements for ABA, GA, SA and ethylene, elements involved in abiotic stress, development, and several repressor elements. Functional validation of putative γVPE promoter in tobacco leaves also proved the promoter activity was induced by abiotic stress and phytohormones.
Time Series Analysis of Price Indices October 2010

Abstract The International Price Program of the Bureau of Labor Statistics estimates monthly indices on the changes in import and export prices for merchandise and services. The data are collected through a complex sample of establishments using monthly reported data. Consequently, in time series analyses of IPP data, there is potential interest in the variances and autocorrelation functions of both sampling and measurement errors, as well as the underlying true price-index series. This paper presents several analytic methods that one may use to estimate the parameters of these terms.
Hybrid Tagger – An Industry-driven Solution for Extreme Multi-label Text Classiﬁcation

This paper presents an industry-driven solution for extreme multi-label classiﬁcation with a massive label collection. The proposed approach incorporates a large number of binary classiﬁcation models with label pre-ﬁltering and employs methods and technologies shown to be applicable in industrial scenarios where high-end computational hardware is limited. The system is evaluated on an Estonian newspaper article dataset which contains almost 2000 unique labels and has shown to perform over 80 times faster than applying all the binary models of the entire label set without negative impact on prediction scores
ON LEARNING READ-ONCE DNFS WITH NEURAL NETWORKS

Learning functions over Boolean variables is a fundamental problem in machine learning. But not much is known about learning such functions using neural networks. Because learning these functions in the distribution free setting is NPHard, they are unlikely to be efficiently learnable by networks in this case. However, assuming the inputs are sampled from the uniform distribution, an important subset of functions that are known to be efficiently learnable is read-once DNFs. Here we focus on this setting where the functions are learned by a convex neural network and gradient descent. We first observe empirically that the learned neurons are aligned with the terms of the DNF, despite the fact that there are many zero-error networks that do not have this property. Thus, the learning process has a clear inductive bias towards such logical formulas. To gain a better theoretical understanding of this phenomenon we focus on minimizing the population risk. We show that this risk can be minimized by multiple networks: from ones that memorize data to ones that compactly represent the DNF. We then set out to understand why gradient descent “chooses” the compact representation. We use a computer assisted proof to prove the inductive bias for relatively small DNFs, and use it to design a process for reconstructing the DNF from the learned network. We proceed to provide theoretical insights on the learning process and the optimization to better understand the resulting inductive bias. For example, we show that the network that minimizes the l2 norm of the weights subject to margin constraints is also aligned with the DNF terms. Finally, we empirically show that our results are validated in the empirical case for high dimensional DNFs, more general network architectures and tabular datasets.
Characterization of microbiologically influenced corrosion in pipelines by using metagenomics

4 DEDICATION . 7 ACKNOWLEDGEMENTS . 9 TABLE OF CONTENTS . 11 LIST OF ABBREVIATIONS . 14 LIST OF FIGURES . 15 CHAPTER 1 GENERAL INTRODUCTION . 18 MICROBIOLOGICALLY INFLUENCED CORROSION (MIC): AN OVERVIEW . 18 MECHANISM OF MICROBIOLOGICALLY INFLUENCED CORROSION (MIC) . 19 Biofilm formation . 19 MIC of metals . 20 MIC of concrete and stonework . 22 CONVENTIONAL METHOD FOR CORROSION INHIBITION AND PREVENTION IN THE OIL INDUSTRY TO CONTROL MIC . 23 Physical control . 24 Chemical control . 24 Biological control . 27 12 SUMMARY OF INTRODUCTION . 27 AIM AND OUTLINE OF THIS STUDY . 28 CHAPTER 2 METAGENOMICS OF SEAWATER AND OIL PIPELINES . 30 INTRODUCTION . 30 MATERIALS AND METHODS . 32 Sampling Sites . 32 Filtration . 34 DNA extraction and 16S rRNA amplicon library preparation. 35 Sample collection from oil pipelines . 36 Collection of 16S rRNA amplicon metagenomes from other oil plants. 36 Hierarchical clustering analysis . 38 Statistic comparison . 38 RESULT AND DISCUSSION . 39 Microbial community compositions in bio-corrosion causing pipelines . 39 Statistic comparison of metagenomes between bio-corrosion and noncorrosion samples . 41 Microbial community compositions in metagenomes from bio-corrosion sites in the oil-pipelines . 44 Comparison of microbial community in bio-corrosion sites between seawater pipelines and oil pipelines. 45 CONCLUSION . 48 13 CHAPTER 3 CHARACTERIZATION OF MIC IN GROUNDWATER: COMPREHENSIVE METAGENOMIC ANALYSIS ON THE INLAND OIL FIELD . 49 INTRODUCTION . 49 MATERIALS AND METHODS . 51 Sampling Sites . 51 Sample preparation, DNA extraction and library preparation . 52 RESULTS . 53 Pipeline system in oil field #4 . 53 Analysis of microbial community composition . 55 PCA analysis . 66 DISCUSSION . 67 CONCLUSION . 70 CHAPTER 4 GENERAL DISCUSSION . 71 BIBLIOGRAPHY . 75 14 LIST OF ABBREVIATIONS MIC Microbiologically Influenced Corrosion SRB Sulfate Reducing Bacteria APB Acid-Producing Bacteria SOB Sulfur-Oxidizing Bacteria IRB Iron-Reducing Bacteria MOB Manganese-Oxidizing Bacteria EPS Extracellular Polymeric Substance NGS Next Generation Sequencer/Sequencing Sample.5 Sample.2 FCC DNA samples obtained with 5.0 μm-diameter-pore filter DNA samples obtained with 0.2 μm-diameter-pore filter Field Control Center RIS Remote Infection Station WSW Water Supply Well IW Injection Well
CASPASE-DEPENDENT ACTIVATION OF CASCADE CYTOKINES IN YOUNG PATIENTS WITH AUTOIMMUNE THYROIDITIS IN COMBINATION WITH GASTROESOPHAGEAL REFLUX DISEASE

The aim of the study: to assess the role of caspase-1 and IL-18 in the implementation of the inflammatory response in young patients with autoimmune thyroiditis (AIT) associated with gastroesophageal reflux disease (GERD). Materials and methods. The study was conducted in two groups of patients homogeneous by gender and age. The first group included 42 patients with an isolated AIT and the second group – 120 patients with a comorbid course of AIT and GERD. The contingent of the surveyed was students. Median age was from 18 to 25 years: 23.1±1.2 years in group with isolated AIT and 21.9±2.7 years in group with combined pathology. The activity of caspase-1 was determined using “Elabscience” kits, USA (China) by immunoassay method. The content of IL-18 was investigated using commercial kits “Bender MedSystems GmbH” (Austria) according to the proposed methods by immunoassay method. Statistical data processing was carried out using the local universal software package Statistica Basic Academic 13 for Windows En Local. Methods of non-parametric statistics were used: Kruskal-Wallis test, median test, Mann-Whitney test. Results. It has been found that caspase-1 is activated in patients both in the isolated course of AIT and in its combination with GERD. At the same time, a significant increasing in the synthesis of IL-18 was established, which has pro-inflammatory and autoimmune effects. Re-examination after 2 months of caspase-1 and IL-18 in examined persons determined decreasing their levels, but control results were not achieved. Conclusion. In young patients, the combination of GERD and AIT, as well as an isolated AIT is accompanied by an increasing the levels of caspase-1 and IL-18 in blood serum related to inflammatory process in the thyroid gland and esophageal mucosa with autoimmune component. These biomarkers may reflect the severity of clinical course of diseases and serve as prognostic indicator of outcome in case of comorbidity.
MISUSER STORIES: AN EXTENDED AGILE FRAMEWORK FOR HANDLING SECURITY REQUIREMENTS IN AGILE SOFTWARE DEVELOPMENT

Agile teams are multidisciplinary and focus on delivering working and verifiable software within predefined periods in a continuous way. In order to satisfy users’ expectations, the agile team has to deal with functional and non-functional requirements. The functional requirements are directly linked to the business rules, being more noticeable than the nonfunctional ones, which may be subtle and might require a wider range of knowledge. Thus, in many situations, security requirements are classified as non-functional requirements. These can derive from a variety of sources, requiring expertise beyond business or even development techniques. Therefore, there are some critics about the way agile deals with nonfunctional requirements specially the security ones. This research aimed to put together agile software development and information security areas, by proposing a set of practices to cope with security requirements in agile development teams. The main contribution of the present work is introducing a new artifact named misuser story, composed of related rules and recommended practices. That new artifact intends to define an extended agile framework for promoting the consideration on security requirements, making these requirements more explicit.