Miracle-dz/UniFAR-FTUs huggingface dataset:
Soil Properties, Growth and Yield of Maize as Affected by Organic Manure (Teak Fresh Leave) in Makurdi, North Central, Nigeria

-An experiment entitled “Soil properties, growth and yield of maize as affected by organic manure (teak fresh leave) in Makurdi, North Central, Nigeria” was carried out at Teaching and Research Farm of Federal University of Agriculture, Makurdi, Benue State, Nigeria during the year 2011 and 2012. The experiment was laid out in Randomized Complete Block Design with six treatments replicated three times. Organic manure (teak fresh leaves) was subjected to all plots except control. Data were recorded on different parameters such as soil chemical properties, plant height, number of leaves and grain yield. The statistical analysis of the data showed that organic manure significantly affected some chemical properties and all growth and yield studied attributes. The highest plant height, number of leave and grain yield was recorded in plants received 7.5 t haorganic manure. It was concluded that 7.50 t haof organic manure among the different rates performed best and hence recommended for the soil sustainability and maize
TrimBot2020 Deliverable D2.4 Manipulator and tools V2, Closed-Loop Motion Planning

This deliverable describes the revised design of the endeffectors for bush trimming and rose cutting, as well as the vision modules and control components for closed-loop bush trimming and rose cutting. The motor that drives the revised bush trimmer tool is mounted on the 4th axis of the robot arm and will be connected by a flexible shaft to the tool. This results in a much lighter and smaller device. The length of the rose cutter tool is reduced as well. For both end-effectors 3d printed housings have been designed that allow a rigid mounting of the tool cameras. Current accuracy issues in controlling the arm have been investigated and have revealed that no mechanical deformation occurs when applying a load to the arm. A difference between the commanded and actual poses of the arm was however observed. To increase the accuracy of the arm control calibration markers will be placed on the end-effectors that allow visual arm tracking and pose estimation. The vision module for bush trimming will use the tool-mounted stereo cameras for depth sensing and target shape fitting using multiple camera poses. The vision module rose cutting will use the toolmounted stereo cameras for CNN based branch segmentation and bud eye detection. From the full list of bud eye locations the desired cutting position are selected. The closed loop trajectory control for bush trimming will apply the concept of trajectory adaptation based on the observed trimming score. The trajectory control for closed loop rose cutting will apply a reinforcement learning algorithm as a visual servoing controller. This visual servo control algorithm will process real-time images with the goal to minimise the distance between the end-effector location and the target cutting location. Deliverable due: Month 30 Version 3.1; 2018–11–03 Page 1 of 29 c © TrimBot2020 Consortium, 2018 IST – 688007 – TrimBot2020 Deliverable D2.4
Reusable and Shareable Orchestration Packages

Orchestration of learning, a process that involves the real-time management of learning activities, is known to be challenging. While the orchestration processes and resources used during orchestration of learning activities can be reused, sharing them is a non trivial task. We propose an end-to-end Reusable Virtual Orchestration Appliances (rVOA) work-flow, based on organised orchestration of learning activities, for sharing and reusing these processes and resources as Open Education Resources (OERs). We show the feasibility of the rVOA workflow by implementing an offline authoring tool—used to create and playback the orchestration packages—and an online OER repository—used to store the packages and, additionally, to facilitate easy access. Studies conducted to assess the usability of the authoring tool and the repository yielded promising results, suggesting the potential usability of the workflow.
Pseudomonas et infections cutanées

Pseudomonas aeruginosa ou bacille pyocyanique est un bacille Gram négatif, opportuniste, ubiquitaire, qui résiste aux variations de température et qui affectionne particulièrement les milieux humides. On le retrouve dans la flore digestive de 10% des sujets normaux mais ce n’est pas un résident habituel du revêtement cutané. Il peut néanmoins faire partie de la flore cutanée « en transit », c’est à dire de germes doués d’un pouvoir pathogène mais qui restent transitoirement sur un secteur cutané ou muqueux sans donner lieu à des lésions cliniques, particulièrement dans les régions humides du corps qui sont la région ano-génitale, les aisselles et les conduits auditifs externes.
Loop-mediated isothermal amplification-based rapid detection for Shigella dysenteriae in food samples

[Objective] To study and optimize loop-mediated isothermal amplification method for rapid detection of Shigella that can cause infectious diarrhea in conventional food consumption. [Methods] High conservative and specific target gene sequence of Shigella gene was aligned and obtained from NCBI (National Center for Biotechnology Information) database. Three pairs of corresponding LAMP primers were designed, synthesized and used to establish the LAMP-based visualized detection method. The detection result of practical samples by using LAMP-based 2248 微生物学通报 Microbiol. China 2017, Vol.44, No.9 Tel: 010-64807511; E-mail: tongbao@im.ac.cn; http://journals.im.ac.cn/wswxtbcn detection method was compared with those obtained by conventional methods for statistical analysis. [Results] All 5 strains of Shigella standard strain samples were detected positive and 11 strains of non-Shigella standard samples were detected negative, which showed no cross reaction. The minimum test limit is 16 CFU per test or 3.2×10 CFU/mL, and by comparison, the sensitivity of LAMP detection was 10 times higher than PCR detection. All 161 sets of samples were detected by LAMP, and the results showed high consistency with conventional detection method. [Conclusion] The LAMP-based detection method is featured with advantages in convenience, rapidity and high reliability, which makes it applicable to meet the requirements of rapid detection for Shigella in different types of food samples.
Mean-periodic functions and irregular sampling

The theory of irregular sampling raises many mathematical problems. A. Olevskii and A. Ulanovskii proved that universal sampling sets exist. This remarkable discovery is given a new proof here. A problem raised sixty years ago by Jean-Pierre Kahane on mean-periodic functions is paving the way to our surprising approach. 1. LOST OPPORTUNITIES A few months ago I was preparing the 2018 Onsager lecture I had to deliver in Trondheim. I checked the bibliography. Most of the time I forget to do it. I used Google and entered the key words of my talk. Google pointed at a paper by Jean-Pierre Kahane entitled Sur les fonctions moyenne-périodiques bornées. It was published in 1957 in Annales de l’Institut Fourier [5]. To my great shame I had not read this paper until now. It is so surprising since Kahane was my colleague at the mathematical department of Université Paris-Sud (Orsay) from 1967 to 1981 and we had many mathematical discussions. We also had some painful political disputes. The issue discussed by Kahane in his remarkable 1957 paper is a particular instance of a broader problem: Can we infer the spectral properties of a discrete point set Λ ⊂ R from its arithmetical structure? More precisely Kahane proposed to investigate the structure of the discrete sets Λ ⊂ R which have the following property: Every mean-periodic function whose spectrum is contained in Λ is necessarily an almost-periodic function. This terminology will be defined in Sections 3 and 4. In 1968, eleven years after the publication of Kahane’s paper, I attacked exactly the same problem. It paved the way to the construction of model sets (model sets will be defined in Section 15). I described the spectral properties of these model sets. I wrote a book [11] on these issues. It was published by North-Holland in 1972. Today model sets are used to model quasi-crystals. In 1974 Roger Penrose constructed his famous pavings. De Bruijn (March 20, 1980) elucidated the arithmetical structure of the set V of vertices of a particular Penrose paving. Using today’s terminology V is a model set. Therefore this set V is a solution to the problem raised by Kahane. Date: May 29, 2018.
Burden of disease in psoriasis and psoriatic arthritis. Occurrence, healthcare use, costs and health outcomes.

Psoriasis (PSO) and psoriatic arthritis (PsA) are two related chronic inflammatory diseases. A proportion of people with PSO also develop PsA. PSO and PsA seem to have multiple impacts; from the health and well-being of the individual; to the need for healthcare resources for disease management; to the loss of productivity. Compared with other chronic diseases, such as heart disease and diabetes, population-based observational healthcare research on PSO and PsA is limited. The overall aim of this thesis was to study the impact of PSO and PsA in terms of occurrence, costs, healthcare use and patient-reported outcomes (PROs), from a population-based perspective. The included studies used data related to residents in the Skane region, and the study populations were identified in the Skane Healthcare register (SHR). Information was based mainly on population-based registers but also on surveys and medical records. The point prevalence of physician-diagnosed PSO with or without PsA in the Skane region by the end of 2010 was 1.2%, corresponding to 12,958 diagnosed individuals. The prevalence for PSO alone and PSO with PsA was 1.0% and 0.2% respectively. The ICD-10 diagnostic codes registered for PSO and PsA in the SHR showed overall good accuracy when compared to information in medical records. The annualized mean societal cost for PSO patients with PsA was 97% higher compared with PSO alone patients (€17,600 vs. €8,900). Only a minor fraction of the costs was identified as attributable to PSO and PsA specifically, indicating increased comorbidity in these patients.Analyses on healthcare use among PSO and PsA patients, and population-based matched referents, indicated remaining disparities in the socioeconomic pattern of healthcare use, especially related to income. The effect was less accentuated for PSO and PsA compared to referents. Regarding PROs, we showed that, in a cohort of PsA patients, continuous and never users of biological drugs, which were the majority of the patients, reported better PROs and lower societal costs compare to irregular users of biological drugs.This thesis contributes with knowledge on the impact of PSO and PsA from different perspectives, that can be useful both for researchers and policy makers. In addition, the work also adds information on data quality, and methods for prevalence and cost calculations using register-based data.
Lipoprotein(a), apolipoprotein(a) polymorphism and coronary artery disease severity in type 2 diabetic Tunisian population

Background: Lipoprotein (a) [Lp(a)] is an important genetic risk factor for coronary artery disease (CAD), but there is not enough data in the literature about the association between Lp(a) levels and the severity of CAD in diabetic patients. In addition to that, no studies considered to the role of apo(a) polymorphism. The aim of theis study was to investigate the association of the severity of coronary atherosclerosis with Lp(a) levels and apo(a) polymorphism in a type 2 diabetic Tunisian population. Methods: The study population consisted of 238 consecutive type 2 diabetic patients undergoing a routine coronary angiography. The patients were subdivided into four subgroups according to the number of coronary arteries diseased: normal arteries (n =30), single-vessels (n =75), two-vessels (n =55) and multi-vessels (n =78). Results: Lp(a) levels (normal arteries: 15.8 ± 20.1 mg/dl; mono-vessel disease: 20.1 ± 15.9 mg/dl; bi-vessel disease: 20.2 ± 15.4 mg/dl; multivessel disease: 28.3 ± 17.2 mg/dl; p <0.001) and the percentages of patients with at least one isoform of low molecular weight (normal arteries: 25.2%; mono-vessel disease: 39.0%; bi-vessel disease: 76.8%; multi-vessel disease: 85.3%; p <0.001) were significantly associated with increasing number of coronary vessels diseased. Multiple logistic regression analysis showed that both Lp(a) levels (OR: 1.30; 95% CI: 1.12–4.10) and apo(a) polymorphism (OR: 3.63; 95% CI: 1.78–6.45) were independent predictors of CAD severity. Conclusions: This study demonstrated that Lp(a) levels and apo(a) polymorphism are strong predictors of CAD severity in a type 2 diabetic Tunisian population. Correspondence to: Abid Kaouthar, Laboratory of biochemistry, UR 12ES08, Faculty of Medicine, Monastir, Tunisia, Tel: 00216 73 462 200, Fax: 00 216 73 460 737, E-mail: kaouthar_abid@yahoo.fr
Placebo-controlled trial for betametasone efficacy assessment by MRI in patients with herniated intravertebral discs

Poster: "ECR 2016 / C-0456 / Placebo-controlled trial for betametasone efficacy assessment by MRI in patients with herniated intravertebral discs" by: "A. Tkachev1, A. V. Smirnova1, N. Plakhotina2, D. Archakov1; 1Volgograd/RU, 2Saint-Petersburg/RU"
Statistical Analysis of Insecurity and Criminal Cases in Ibadan, Oyo State Nigeria

This research examines the state of insecurity and criminal cases within the Ibadan community and its environs. Despite several security measures put in place by the Government to curb criminal activities, the state of insecurity and criminal related activities is on the increase and becoming worrisome and embarrassing. This research uses two sets of data – data collected through the administration of questionnaires to the University of Ibadan students, residence within and outside the campus and data obtained from the Nigeria Prisons Service, Agodi Prison Division, P.M. B 5174 Ibadan, Oyo State. Descriptive statistics, inferential statistics and time series analyses were carried out, such as stationary test, model identification, estimation and evaluation, and forecast. The results show that there is a significant relationship between the causes and possible solutions to insecurity within the Ibadan community and their environs at 5% significance level (p=0.000) and the selected criminal cases examined using the unit root (ADF) test established appropriate dynamic models with the AIC values of 5.14, 5.18 and 4.43 respectively for the next four years’ prediction (2017 to 2020). The results therefore suggest that insecurity and criminal cases in Ibadan and its environment tend to increase over time which could be due to many factors from either government or individuals.
When the Journey is as Important as the Destination: Time-Averaged Retention as an Alternate Measure of Student Engagement and Program Impact

University retention and completion rates underestimate true levels of student participation because of their reliance on measurements taken at commencement (or census date) and end of a program. As a result, these statistical snapshots miss what happens in between, failing to capture the true reach of the teaching and learning process, as well as the effort and resources involved. This is problematic when these numbers drive debate over higher education policy or institutional decisions over resource allocation. Here we propose a way of turning retention statistics into a more meaningful measurement of student participation, that we term engagement. In the context of this article, engagement is a calculated quantity based on the time-averaged student retention of a program or course. We argue that it addresses the shortcomings of snapshot metrics and provides some much-needed insight into student participation. We motivate its adoption and illustrate its use with worked examples, as a guide to practitioners, researchers and policymakers in the field.
ACCSE 2018 Proceedings

An Optical Time Domain Reflectometer (OTDR) is the most widely used instrument to monitor problems in currently installed optical fiber. It evaluates the physical characteristics of optical fiber, such as transmission loss and connection loss. It is important to increase the spatial resolution to accurately detect optical path problems using an OTDR. When the pulse width is greater than twice the distance between the two reflectors, the two reflected pulses overlap, and it is not possible to distinguish the reflected signal. To overcome these limitations, this paper proposes a spatial resolution–enhancement method by applying a superresolution algorithm. As a result of digital signal processing implementation in TMS320C6455T DSP board, it is possible to analyze the event interval more precisely by improving the resolution when applying the super-resolution algorithm. Keywords—optical time domain reflectometer; spatial resolution; cross-correlation; super-resolution algorithm.
SECURITY PORTRAYAL AND EVALUATION IN INFORMATION DISTRIBUTING

: The growing ability to track and acquire huge amounts of records with the use of current hardware technology now has lead to an activity in the improvement of facts mining algorithms which keep consumer privacy. A recently proposed method addresses the difficulty of privateness upkeep by means of perturbing the records and reconstructing distributions at an aggregate stage in order to perform the mining. Perturbing data is capable to preserve privacy whilst gaining access to the information implicit in the authentic attributes, distribution reconstruction process naturally leads to some loss of information which is appropriate in many practical situations. To manage these concerns, numerous Privacy-Preserving Data Publishing (PPDP) methods have been proposed in literature but they, lack a proper security portrayal and estimation. It initially presents a novel multi-variable privacy, portrayal and evaluation model. In light of this model, by investigating the earlier and back adversarial belief about quality estimations of individuals. The analysis will break down the affectability of any identifier in security portrayal. At that point, the privacy should not be estimated depending on one measurement. It may lead to security misinterpretation . By the utilization of two different measurements for analysis of protection spillage, distribution spillage, and entropy spillage. Utilizing these measurements, the foremost notable PPDP systems are, for example, k-anonymity, l-diversity, and t-closeness. In view of the structure and the proposed measurements, the discovery of all the current PPDP plans has constraints in security portrayal. The proposed security portrayal and estimation structure adds to better understanding and assessment of those procedures. Thus, it provides an establishment to plan and investigation of PPDP plans
The Influence of Enterococcus faecalis as a Dental Root Canal Pathogen on Endodontic Treatment: A Systematic Review

Endodontic treatment failure may occur due to different causes such as persistence of bacteria, root canals that are poorly cleaned and obturated, improper coronal seal (leakage), and untreated canals (missed canals). The main reason for endodontic failure is the presence of some species of bacteria inside the root canal system such as Enterococcus (E.) faecalis. Those bacteria are more resistant to disinfection agents, causing a persistent intra-radicular or extra-radicular infection. The current review aims to compile all the current studies concerning Enterococcus faecalis as a dental root canal pathogen that causes endodontic failure. In this systemic review, two databases, PubMed and Google Scholar, were searched using specific inclusion and exclusion criteria. Among 2943 studies, only 11 met the inclusion criteria and were included in the review for further analysis. The 11 studies give prominence to the high distribution of Enterococcus faecalis within the root canal system. These studies investigated different aspects of Enterococcus faecalis, including its prevalence, resistance mechanisms, characteristics, express survival genes, and treatment. The compiled data observed that most of the studies highlight Enterococcus faecalis as the primary pathogen associated with endodontic treatment. It has characteristic proprieties that make it capable of escaping disinfection means. Furthermore, clinical trials are required to examine E. faecalis and may provide valuable information about novel microbial detection methods to decrease the number of E. faecalis within the root canal system.
Assessing OSM street semantics quality using context and user trustworthiness

OpenStreetMap (OSM) provides free tools that anybody can use to edit maps and upload spatial data. This led a strong interest in investigating the usability of this data in terms of its limitation and potential. The main concerns relate to OSM data quality. This paper focuses on analysing and evaluating the quality of the OSM street network tags based on specific features of streets, their context and the trustworthiness of users who have edited those tags. In our work, spatial data mining techniques are applied for extraction of OSM features. Machine learning techniques are used for automatically evaluating the data extracted and predict the street type. Advanced validation techniques are used to assess the OSM contributors’ trustworthiness.
Phantom study for quantitative measurement of tissue perfusion using perflubutane dynamic contrast-enhanced ultrasonography with low mechanical-index

Poster: "ECR 2011 / C-0173 / Phantom study for quantitative measurement of tissue perfusion using perflubutane dynamic contrast-enhanced ultrasonography with low mechanical-index" by: "M. Ibuki1, T. Miyati2, N. Tajima1, M. Narikawa1, K. Sawada1, K. Kakuta1; 1Tonami/JP, 2Kanazawa/JP"
Effect of Amiodarone on Serum Triiodothyronine

A B S T R A C T 2-n-Butyl-3- (4'-diethylaminoethoxy-3',5'diiodobenzoyl) -benzofurane (amiodarone), a drug used in arrythmias and angina pectoris, contains 75 mg of organic iodine/200 mg active substance. Four studies were performed to test its effect on thyroid hormone metabolism: (a) nine male subjects were treated with 400 mg of amiodarone for 28 days; (b) five male subjects received, for the same period of time, 150 mg of iodine in the form of Lugol's solution; (c) five subjects received 300 Ag L-thyroxine (T4) for 16 days; from the 10th to the 16th day, 400 mg of amiodarone was added; and (d) five euthyroid subjects received 300 Ag L-T4 for 16 days. The changes in serum thyroid-stimulating hormone (TSH), serum total T4, 3,5,3'-triiodothyronine (T3), free T3, and 3,5',3'-triiodothyronine (reverse Ta, rT3) were measured, and the pituitary reserve in TSH was evaluated by a thyrotropin-releasing hormone (TRH) test.
Shape and Texture Features based Human Action Recognition Using Collaborative Representation Classification

This paper presents human action recognition by using shape and texture based DMM-Haar features where collaborative representation classifier is adopted for action classification. In this study, we have introduced effective feature extraction technique based on Depth Motion Maps (DMMs) and Haar wavelet transformation, where different actions can be represented with a range of features. Firstly, we have calculated three DMMs such as DMM front view, top view and side view from 3D action video sequences as the shape features. After that, we have utilized Haar wavelet on the DMMs generated images to extract texture information and concatenated all features as a feature matrix. We have utilized principal component analysis for reducing the feature dimensions of the feature matrix. Finally, 2 l normed based collaborative representative classification technique is adopted to classify different actions. For this research, we have analyzed the effects of the DMM-Haar features on experimental basis with DMM features based results. The performance study of the proposed method is comparable with the state-of-the-art methods to recognize human action on the publicly available Microsoft Research Action 3D dataset.