Miracle-dz/UniFAR-FTUs huggingface dataset:
Physico-Chemical Analyses and Status of Arbuscular Mycorrhizal Fungi from Rhizosphere Soils of Solanaceous Vegetables

Soil characters were studied for the ability of the soil to support Arbuscular Mycorrhizal Fungal (AMF) colonization and spore density. Results of three rhizosphere soil samples of Tomato, Chilli and Brinjal from six different study sites in the region showed variation in soil colour, pH, EC, Organic carbon, Nitrogen, Phosphorus, Potassium, Calcium, Magnesium, Sodium, Zinc, Ferrous, Manganese, Copper and Boron. Root colonization and spore density was correlated with all soil parameters studied except soil colour. In Tomato, correlation between colonization was positive with pH, Electrical Conductivity (EC), Organic carbon, N, P, K, Mg, Fe, Mn, Cu and Br whereas negative with soil Ca, Na and Zn. Spore population showed positive correlation with soil Organic carbon, N, K, Fe and B; and negatively with pH, EC, P, Ca, Mg, Na, Zn, Mn, and Cu. In Chilli root colonization showed positive correlation with all studied parameters except pH, EC, P and Br. Spore population revealed negative correlation with pH, N, Cu and Br and remaining parameters were positively correlated. Root colonization in Brinjal showed negative correlation with only pH and Mg whereas spore availability had negative relation with only pH, K and Mg. AMF inoculum may be in the form of spores or hyphae are the access point of symbiosis between AMF and crop plants. The results of number of spores per 100g of rhizosphere soil studied showed variation according to plant species. In the region highest inoculum density was in brinjal rhizosphere and lowest in chilli rhizosphere. Pearson’s correlation analysis showed that spore density was positively correlated with root length colonization in Tomato (r = 0.581), Chilli (r = 0.432) and Brinjal (r = 0.205) but when it was correlated with root colonization there was variation in correlation as Chilli (r = 0.799) and Brinjal (r = 0.900) emerge with strong positive correlation and Tomato (r = 0.092) with negative correlation.
The recognition and modelling of a backbone and its deformity

Ramūnas Markauskas, Algimantas Juozapavičius, Kęstutis Saniukas, Giedrius Bernotavičius Faculty of Mathematics and Informatics, Vilnius University Naugarduko str. 24, LT-03225 Vilnius, Lithuania ramunas.markauskas@mif.vu. lt; algimantas.juozapavicius@mif.vu. lt Vilnius University Hospital Santariškių Klinikos Santariškių str. 2, LT-08406 Vilnius, Lithuania saniukas@gmail.com; g.bernotavicius@gmail.com
KNOWLEDGE MANAGEMENT : SOURCE FOR SUSTAINABLE COMPETITIVE ADVANTAGE

The ongoing sophistication and escalating complexities of information and communication technologies has, in various aspects, led to extensive changes in society, science and business. During this fascinating transformation, which has been characterized by both rapidity of ascent and decentralization of purpose, knowledge has played a paramount role. Part of this vital role derives from two key facets of knowledge – not only does it generate value, but it is unique and inimitable as well. These facets are crucial, but not exclusive, in supporting the premise that a company’s only enduring source of competitive advantage is knowledge. Because researchers, marketers and pundits have come to recognize the importance of knowledge, they naturally look to acquire a knowledge advantage by specifically tending to focus on understanding and utilizing knowledge. McKinsey consultants agree, stating that knowledge has indeed become, “one of the trendiest topics in management circles. ” These factors have led forward-thinking businesses to focus their endeavours on developing knowledge intensive products (product intelligence) and processes (process intelligence), as well as better management of marketing knowledge. The purpose of this paper is to not only provide an introduction into the burgeoning field of knowledge management, but also to delve into how knowledge management particularly juxtaposes with marketing areas of business. This paper looks specifically at the marketing aspects of knowledge management by providing analysis of the abundance of quality research articles on knowledge management composed in either English or German. To begin, an observation of the importance of knowledge as basis for competitiveness is discussed. An important distinction between data, information, and knowledge is then made, followed by comprehensive typology of knowledge as it is to be found in business. Next, the terms “market knowledge” and “marketing knowledge,” along with its family of related terminology, are defined and their nuances clarified. A brief report on the development of the knowledge management research and its numerous facets is then made. The core of this paper, which follows, is structured around a comprehensive overview of the core concepts of knowledge management and their relevance for the marketing field. Key implications of knowledge management on marketing in profit and non-profit organisations are also briefly discussed within this core. To conclude, this paper proposes additional materials for further research.
Rhizoctonia Species and Anastomosis Groups Isolated from Tomato and Cucumber in Erzincan , Turkey

Rhizoctonia comprises both multinucleate and binucleate species which are further divided into anastomosis groups (AGs). Currently, the multi nucleate isolates R. solani Kühn (teleomorph: Thanatephorus cucumeris (Frank) Donk. ) are grouped by anastomosis between hyphae into AG-1 to AG-13 and a bridging isolate AG-BI (García et al., 2006). Binucleate Rhizoctonia (teleomorph: Ceratobasidium Rogers) isolates are also grouped into AG-A to S (Sneh et al., 1991; García et al., 2006; Sharon et al., 2008). The soilborne plant pathogen R. solani is a basidiomycete that occurs worldwide and causes economically important diseases to a large variety of vegetable and field crops, turf grasses, ornamentals and fruit and forest trees (Ogoshi, 1996). Rhizoctonia solani causes root rot, stem rot, fruit and seed decay, damping-off, foliar blight, stem canker and crown rot, in various crops (Tu et al., 1996).
Mindfulness-Based Cognitive Therapy and Emotion Focused Therapy as Treatments for Major Depression

The symptoms of MDD are identified in the Diagnostic and Statistical Manual (5 Edition) as a markedly depressed mood and/or a loss of interest or pleasure in life, nearly all day, every day, for at least two weeks (American Psychiatric Association 2013). In addition, patients will have at least four of the following seven symptoms: a significant change in appetite or weight; significant change in sleep pattern; observable psychomotor agitation or retardation; fatigue; feelings of worthlessness or inappropriate guilt; loss of ability to concentrate; and recurrent thoughts of death or suicide (American Psychiatric Association 2013).
Fully Convolutional Networks for Mammogram Segmentation

Segmentation of mammograms pertains to assigning a meaningful label to each pixel found in the image. The segmented mammogram facilitates both the function of Computer Aided Diagnosis Systems and the development of tools used by radiologists during examination. Over the years many approaches to this problem have been presented. A surge in the popularity of new methods to image processing involving Deep Neural Networks present new possibilities in this domain, and this thesis evaluates mammogram segmentation as an application of a specialized Neural Network architecture, U-net. Results are produced on publicly available datasets mini-MIAS and CBIS-DDSM. Using these two datasets together with mammograms from Hologic and FUJI, instances of U-net are trained and evaluated within and across the different datasets. A total of 10 experiments are conducted using 4 different models. Averaged over classes Pectoral, Breast and Background the best Dice scores are: 0.987 for Hologic, 0.978 for FUJI, 0.967 for mini-MIAS and 0.971 for CBIS-DDSM.
Comparing and Implementing Different Quantum Secret Sharing Schemes

In this project, we investigate the idea of quantum secret sharing, in which a secret (usually a quantum state) is encoded into multiple qubits or “shares” which are then distributed to relevant parties. We implement a (3, 5) scheme that has been around in literature for quite some time in pyQuil. We also contribute our own scheme that allows for any n and is a (n, n) scheme and implement it in pyQuil as well. Finally, we investigate the effects of noisy qubits on the fidelity of these designs.
EFFECT OF LEGUME-WHEAT CROPPING SEQUENCES ON SOIL MICROBIAL BIOMASS , SOIL MINERAL N AND PERCENT TOTAL N IN WHEAT AT RONGAI-NJORO , KENYA

The objective of this study was to evaluate the effect of cropping sequences on soil microbial biomass (SMB), soil mineral N (N) and its uptake by wheat at different stages of growth. A one year crop sequence study involving chickpea (Cicer arietinum) followed by wheat (C-W); beans (Phaseolus vulgaris) followed by wheat (B-W); and fallow followed by wheat (F-W) was conducted at Egerton University agronomy farm between 1995 and 1996. N levels were highest in F-W at planting compared to C-W and beans-wheat B-W but shot up in C-W and B-W after 30 DAS in the 0-30 cm depth. However, from 30 DAS till harvest, the 0-30 cm depth showed a gradual decline in levels of N while the 30-60 cm depth had a gradual increase in N levels throughout the study period. The % total N content in wheat declined from seedling to harvest (straw) for all the cropping sequences and had significant effect at P≤0.05 between seedling and heading stages for the F-W and C-W cropping sequences. SMB on the other hand varied across the cropping sequences and from one growth period to another, increasing from planting to seedling stage (30 days after planting [DAS]) and thereafter declining up to heading of wheat (70 DAS) followed by a steady increase up to wheat harvest (127 DAS). In the pre-wheat season therefore, the amounts of N fixed by the legumes were inadequate to offset the amount of N used for growth and that removed by seeds. Either mineralization of immobilized N in the legume rhizosphere, N contribution through the mineralization of leaf litter and the roots or the “Birch effect” restored the depressed N levels by wheat seedling stage in the C-W and B-W sequences. The variations in SMB during the wheat growing season imply that SMB may be regarded as a nutrient reservoir for the respective cropping sequences in the agro-ecosystem under study.
Non-Pathogenic Protozoa and Associated Enteric Symptom

| Non-pathogenic protozoa are single-celled parasites usually detected in the intestinal tract and with a worldwide distribution. Our aim in this study was to estimate the non-pathogenic intestinal parasites among primary schoolchildren in Sohag Governorate, Egypt and to correlate between these protozoa and the release of symptoms. Stool specimens of 200 child were investigated microscopically by iodine stained smear and formol-ether sedimentation. Non-pathogenic protozoa represented 9% of all studied children (3.5% for Entamoeba coli, 2.5% for Iodamoeba bütschlii and 1.5% for each Entamoeba hartmanni and Chilomastix mesnili). Iodamoeba bütschlii and Entamoeba coli infection showed a statistical significance regarding symptoms. Only Iodamoeba bütschlii infection was affected statistically by the child gender. Infection with these non-pathogenic parasites is a proof of fecal contamination and can also be disordered with the potentially pathogenic parasites. In addition, these parasites are also problematic in that they may be considered the cause of some symptoms after exclusion of other pathogens.
Analysis of the Determinants of Foreign Direct Investment in Rwanda ( Period of 1970-2010 ) : Econometric Approach

Rwanda, as many developing countries, has tried to attract FDI by different ways. And the Foreign Direct Investment in Rwanda has been increasing during the past decade even though with slight variations so that it reached $42,332,000 in 2010. In fact, over the past 40 years, the value for this indicator has fluctuated between $118,671,700 in 2009 and $1,000 in 1994 (NISR, 2010; IMF, 2010). In an attempt to attract FDI, Rwanda has become one of the Africa ́s countries with the highest degree of personal safety and lowest incidence of corruption. In this paper, we analyze the determinants of foreign direct investment in Rwanda. The results of the regression show that the inflation had a negative significant effect on FDI during the period of analysis (1970-2010). This is in accordance to a priori expectations that inflation has a negative effect on FDI which is depicted by the coefficient of LnCPI (-1.265). This coefficient implies that ten per cent (10%) increase in inflation led to 12.7 per cent decrease in inflow of FDI in Rwandan economy during the period of 1970-2010. This also has some reasons of being like it is. In fact, when the inflation is not stable and minimum, it constitutes an indicator of instability of the economy, fiscal and monetary policy that are not more competent, etc. It then increases the uncertainty in the eyes of foreign investors; and who are not eager to take risk, reduce their investment in the economy that seems instable. Finally, the results of the regression show that foreign exchange rate had a positive and non-significant effect on FDI during the period of analysis (1970-2010). It is depicted by the coefficient of LnEXR (0.889) and is contrary to the hypothesized negative effect. However, this positivity of the effect of foreign exchange rate on FDI is not contradicting the theory, because as we saw in the literature, many studies on this matter reached conflicting results. What matters here is how one can try to explain the direction (whether positive or negative) of the effect of foreign exchange rate on FDI.
Edge and Fog Computing: Vision and Research Challenges

—Recently, the wide adoption of Internet of Things (IoT) devices has introduced new challenges that the current cloud-centric approach must overcome. The high-latency obtained from sending daily massive volumes of generated data to the cloud, for further processing, is insufﬁcient to meet the stringent requirements of emerging IoT applications. As a consequence, researchers have introduced new paradigms, like edge and fog computing, with the purpose of extending cloud capabilities closer to the edge of the network. This extension of the cloud enables IoT applications to be deployed in the proximity of sensors, adding new beneﬁts like fast response time and better security and privacy. In this paper, we discuss in detail both paradigms based on their individual characteristics and use cases. Furthermore, we explain what future challenges, i.e., resource management, security and privacy, and network management, researches must solve to enable the adoption in society. Finally, we present our vision regarding a smart city scenario in which users have the possibility of customizing their environment as they desire, by seamlessly downloading applications on a personal edge network.
J un 2 01 9 On Low Complexity RLL Code for Visible Light Communication

Run length limited (RLL) codes are used in visible light communication (VLC) to avoid flicker and to support different dimming ranges such that communication is not affected by the variation in light intensity. In this paper, we propose a low complexity split phase code as RLL code in serial concatenation with the convolutional code as a forward error correcting code (FEC) for VLC. The split phase code can be represented by a twostate trellis-like code which can provide an iterative gain in FECRLL serial concatenation. We also use the extrinsic information transfer (EXIT) chart to explain the iterative decoding behavior of the proposed serial concatenated scheme. Furthermore, we use puncturing and compensation symbols to support various dimming range in VLC.
Attitudes towards wind power development in Denmark

The present paper analyses the attitudes towards existing and future land-based turbines and off-shore wind farms. The analysis is carried out using a probit model to elicit systematic characteristics determining the attitude of the population. The analyses show that off-shore development is preferred to land based development, which indicates that the wind power development should be taken off-shore. But, the results also point out that the land-based opportunities for wind power development are not exhausted. On a more detailed level, the results denote that the attitude towards both land based and off-shore wind power vary with age of the respondents and experience with wind turbines. Younger respondents are more positive towards wind power than older respondents, pointing towards an increase in acceptance in the future. The attitude was also found to covariate negatively with the experiences and level of expo-sure to the impacts of wind turbines.
Epistemological Databases and Human-Machine Cooperation for KB Construction

Large knowledge bases (KBs) support real-world decision making by providing access to information in a structured format that facilitates pattern analysis and semantic queries. However, this structured information must first be gathered from disparate sources, typically requiring both extraction and integration. Traditionally, an external system performs these tasks and injects its resulting entities and relations directly into the database; but this is undesirable because when new augmenting and correcting data arrives later, past integration decisions need to be reconsidered. In this paper we propose a new framework for knowledge base construction and maintenance that we term an epistemological database, so named because the database isn’t given the truth; it must infer the truth from available evidence. More specifically, the raw pieces of evidence (text and structured data to be integrated) are presented to the DB and are stored along with both the intermediate variables and final results of extraction and integration. Truth-discovering inference can then run inside the DB—allowing the system to efficiently revisit previous conclusions as new evidence becomes available. Full provenance is thus a natural by-product of this approach. Moreover this framework readily supports an advantageous representation of human-proposed “corrections” to the KB as simply additional pieces of evidence (e.g. mini-documents expressing that user X claimed that Y was true on date Z)—allowing our system to reason jointly and robustly about old and new textual evidence, old and new human edits, their provenance and reliability. We empirically validate the advantages of our approach including (1) the ability to jointly revisit previous inference decisions 33% error reduction, (2) better incorporation of human edits 43% error reduction, (3) robustness to incorrect human edits, and (4) performance, by disambiguating a database with nearly six million mentions in a few hours on a single CPU.
Impact of Biocontrol Agent Streptomyces fumanus on Bacterial Communities in the Rhizosphere of Wheat and Soybean in Newly Cultivated Soil

The quantity and diversity of a rhizosphere functional microbial community’s ammonificators, oligotrophs and diazotrophs after processing of wheat(Triticum aestivum) and soybean (Glycine max) seeds in Streptomyces fumanus gn-2 suspension (10 4 spores\ ml) were examined before planting into the soil. The rhizosphere microflora of wheat was investigated in shoot, till ring, heading and maturation phases by classical microbiological and molecular biology methods. The soybean rhizosphere microflora in three phases of vegetation, formation of the first trifoliate leaf, flowering and maturation, was investigated by the same methods. Treatment of wheat and soybean seeds with Streptomyces fumanus product promoted a population of the most useful microorganisms, including nitrogen-fixing bacteria in the rhizosphere of plants. A 16S ribosomal RNA analysis revealed a rich biodiversity of bacteria in the rhizosphere of the wheat’s maturation phase, which differs from the biodiversity of bacteria in the rhizosphere of soybean in the same phase. Bacteria of Microbacterium genus from Actinobacteria phylum dominated in the rhizosphere of wheat. The bacteria species of Chryseobacterium genus from Flavobacteriia phylum dominated in the rhizosphere of soybean, which proves the different chemical composition of these organic plant exudates that attracts the preferred species of microorganisms.
Phenomenology of theories with deformed Planck-scale symmetries in the neutral kaon system CANDIDATE : Dario Perricone

The efforts in building a physical theory that combines the basic tenets of quantum mechanics and general relativity have been confronting for more than 30 years with a cumbersome intellectual puzzle known under the name of information paradox. This, as initially proposed by Hawking in 1976 [1], suggests that physical information could permanently disappear in a black hole, allowing a pure initial state to evolve into a mixed state. The mixed nature of this state is ultimately due to the existence of an unobservable region inside the event horizon of the black hole and to the entangled nature of the vacuum state of the quantum field. In other words, this would imply that unitarity of quantum mechanics is lost when gravitational effects are taken into account, which would represent a truly fundamental modification of the laws of physics as we currently know them. However, soon after Hawking’s proposal many criticisms began to arise. It was noted that conservation laws become decoupled from symmetry principles, so that, for instance, rotation invariance would no longer imply conservation of angular momentum. Also, a study by Banks, Peskin, and Susskind (BPS) [2] argued that conservation of energy and momentum could not be preserved without losing locality. Since then, the possibility of a nonunitary evolution of density matrices has been somewhat abandoned. In this project I will reconsider this possibility in the context of theories with deformed relativistic symmetries, based on the model proposed by Arzano in [3]. Moreover, since it has been shown [4, 5] that the neutral kaon system K0 − K̄0 is suitable for testing experimentally the basic principles of quantum mechanics such as the possible breaking of CPT symmetry, which could manifest as a result of Lorentz symmetry violation, I will investigate the possible phenomenological output of the model and focus on constraints to impose to this model by the experimental results obtained by the KLOE experiment at the DAΦNE e+e− collider, the Frascati φ-factory.
2 Vasoactive Factors and Blood Pressure in Children

CONTENTS INTRODUCTION THE RENIN–ANGIOTENSIN SYSTEM ANGIOTENSINOGEN PRORENIN, RENIN, AND (PRO)RENIN RECEPTOR ANGIOTENSIN-CONVERTING ENZYME ANGIOTENSIN II RECEPTORS ANGIOTENSIN-CONVERTING ENZYME 2 DEVELOPMENTAL ASPECTS OF THE RAS ALDOSTERONE GLUCOCORTICOIDS KALLIKREIN–KININ SYSTEM ARGININE VASOPRESSIN ENDOTHELIUM-DERIVED VASOACTIVE FACTORS NATRIURETIC PEPTIDES VASOACTIVE FACTORS AND DEVELOPMENTAL PROGRAMMING OF HYPERTENSION SUMMARY REFERENCES