Miracle-dz/UniFAR-FTUs huggingface dataset:
Sequential removal of phenol and As(V) from contaminated water by ferrate (Fe(VI)) under neutral pH conditions

Sequential removal of phenol and As(V) from co-contaminated water by ferrate (Fe(VI)) was investigated. The results showed that a neutral pH condition favored the sequential of phenol and As(V) by Fe(VI). Around 70% of phenol was removed at neutral pHs with a Fe(VI): phenol molar ratio of 10:1. While about 50% of As(V) was finally removed under similar conditions. The presence of a high concentration of Cl– (up to 0.2 M) showed 6% inhibitory effect on the final removal percentage of phenol compared to that without Cl–. Fourier transform infrared spectroscopy, X-ray powder diffraction, and X-ray photoelectron spectroscopy analyses suggested that As(V) was removed through adsorption by the precipitates (amorphous iron (oxy)hydroxide), while phenol was removed via degradation (89%) and adsorption (11%), respectively. Removal of As(V) occurred immediately when phenol degradation was initiated, indicating a rapid generation of Fe(III)(oxy)hydroxide. Our study also revealed that an excessive amount of Fe(III) ions in the aqueous phase did not facilitate the degradation of phenol. On the other hand, improving the precipitation rate of Fe(III) could further improve the removal efficiency of phenol and As(V).
Ceramics application of Mgbom clay: Characterization and micro- structural studies

Mgbom clay obtained from Afikpo in Ebonyi state Nigeria was analyzed for its ceramics application. The physical, chemical and spectral characterization of the clay was carried out to obtain more information about this commercially available clay. The FTIR showed vibrational band at 864.7-1148 cm consistent with Si – O stretching and a band at 3448 cm which is due to OHstretching vibration. Bands consistent with Quartz, Kaolinite and Carbonates were observed. The XRD analysis confirms the presence of Quartz (SiO2), Kaolinite (Al2Si2O5 (OH)4) and Hematite (Fe2O3). The SEM studies shows finely distributed uniform surface with isolated patches of granulated texture. The physical characterization also shows values of modulus of plasticity (1.23) and water of plasticity (46%) which classifies the clay as strong, plastic and expansive. From the chemical composition, value obtained for SiO2 (51.21) is considered suitable for paper, paints, mid-temperature refractory, glazes and earthenware ceramics but low values of Al2O3 (24.33) and high value of Fe2O3 (11.42) has limited the application of this clay to earthenware ceramics and iron glazes. Ceramics application of Mgbom clay: Characterization and Micro-structural studies Mark Agaba ABUH, Ndubuisi Edennaya IDENYI, Arit Beka ETUKUDOH, Chijioke Gideon ITUMA, Chidubem Ignatus OBIOHA, Christian Oluchukwu ASADU 106
Domesticating Lebeckia ambigua: Solving the rhizobia issues.

Permanent dryland pastures are under-utilised in southern Australia (Angus and Peoples 2012), possibly due to the lack of well adapted perennial legume species that can fit into current farming systems. Lebeckia ambigua has been proposed as a candidate to fill this void with its adaptability to drought, acidic and infertile soils in low rainfall areas (Howieson et al. 2013). The research on L. ambigua has so far focussed on deep, sandy soils where cropping is problematic. Increasing the soil fertility in these previously low-profitable regions could provide mixed farming production with a comparative advantage over continuous cropping (Angus and Peoples 2012). However, the successful incorporation of L. ambigua into an agricultural system will require an understanding of its symbiont, Burkholderia species. Although L. ambigua and Burkholderia spp. have only recently been identified for domestication into agriculture (Howieson et al. 2013), researchers have had success with cultivating them throughout southern Western Australia (WA), except with inoculation. There is a challenge to keep the inoculant B. spp. alive, in a peat carrier, when coated onto L. ambigua seed for sowing in a drying environment. Clay granules, as an alternative carrier, have previously been shown to be unable to carry high numbers of cells of B. spp. (Howieson et al. 2013). Field experiments with amended clay granules carrying B. spp. produced nodules on L. ambigua, albeit not in large number. Attempts at quantifying the numbers of cells in the amended granules, by resuscitating B. spp. from them using antibiotic media and plant infection techniques, were unsuccessful. However, antibiotic profiling of B. spp. strains identified chloramphenicol (20μg/ml) in YMA as an excellent media to suppress contaminants in the clay to facilitate enumeration. Recently recovered strains of B. spp. were assessed alongside previous strains for tolerance to desiccation, which gave rise to a set of possible strains that could surpass the commonly used strain in this regard (WSM4204). Although clay granules were indicated to hold B. spp. cells sufficient for nodulation in the field, further studies must focus on the optimisation of a suitable inoculant technology for L. ambigua. The B. spp. and strain differences in tolerance to desiccation identified in this work may assist this target.
Health literacy and optimizing education materials in a surgical population

Objective: The aim is to examine and compare the level of health literacy (HL) amongst surgical vascular and abdominal patients and measuring the understandability and actionability of current and optimized education materials.Methods: A cross-sectional design was utilized. Patients undergoing abdominal or vascular surgery, were included for measuring HL with the Newest Vital Sign Dutch (NVS-d) tool. The Dutch version of the Patient Education Materials Assessment Tool (PEMAT) was used to measure the understandability and actionability of current and optimized patient education materials.Results: A total of 101 patients were included, of those 54 (53.5%) have limited HL. Patients with limited HL were significantly older (p < .001), lower educated (p < .001), and had a higher ASA status (p = .005) and Charlson Comorbidity Index score (p < .001). The occurrence of limited HL differed significantly (p = .046) between abdominal versus vascular patients. The understandability varied between 24%-59% and the actionability between 40%-67% of the current education materials. The optimized education materials had a understandability score of 86% and a actionability score of 100%. Conclusions: The high prevalence of inadequate HL emphasizes the importance of nursing and medical staff providing clear information to enable shared decision-making. Besides, it is necessary to evaluate current education materials and optimize these materials according to the level of health literacy to provide health information that is understandable.
Stable fire extinguishing installations with CO2 fire extinguishers

Stabile systems for fire protection present very important and powerful way for fire protection. The realization of these protection systems can be on different ways and with different fire extinguishers. Fire extinguishers that can be used in these protection systems are water, CO2, dust, foam, inergen, halon or some „new fire extinguishers“. The biggest meaning of these systems usage is in the fact that they can be used in cases of human or fire fighters absence, in cases when is important to „cover” large space or volume, in cases where problems and difficulties with fire mobile equipment exist, in cases when fire extinguishers quantity can be small etc. The way of realization of these systems depend from many different factors. This paper was written to present the stabile systems for fire protection with CO2 extinguishers and FDS computer simulation of extinguishing with this kind of stabile fire protection system.
Molecular study of human metapneumovirus among patients with respiratory tract infections in Diyala province

Human Metapneumovirus (HMPV) is a paramyxovirus that is a common cause of bronchiolitis and pneumonia in children, elderly and immunocompromised patients. HMPV is responsible for 5% 10% of children hospitalized for acute respiratory tract infections (RTIs). Molecular detection and genotyping of HMPV from patients with RTIs in Diyala province and exploring its association with the clinical picture. This cross-sectional study was conducted in the Diyala province, throughout two seasons; from January to May and from November to December/2018. A total of 323 patients suspected of having RTIs of different ages were enrolled. Data of participants including socio-demographic and clinical observations were collected by using a questionnaire specially designed for this purpose. Three types of respiratory samples were collected including throat, nasal and nasopharyngeal swabs. Real-Time PCR assay was used for molecular detection of HMPV, and two other sets of PCR primers for Attachment (G) and Fusion (F) Human Metapneumovirus genes have been used in the conventional PCR amplification in order to get PCR products used in the sequencing method for genotyping of the virus and phylogenetic tree analysis. Human privacy was respected by obtaining verbal consent. Statistical analysis of data was carried out using the statistical package (SPSSversion 25). Statistical significance was considered if the P-value was equal or less than 0.05. Molecularly, the results revealed that out of 323 specimens, 30 (9.3%) specimens were positive for HMPV, with significantly higher in season II versus season I (93.3% vs 6.7%, P= 0.0001), particularly during November (50%, P= 0.0001). Furthermore, a significantly highest HMPV positivity rate was detected among nasal sinus swabs (96.7%, P= 0.0001). Additionally, the positivity rate was insignificantly higher in up to 5 years old children (P= 0.060). Clinically, cough (73.3%) and Bronchiolitis/bronchitis (86.7%) were significantly associated with HMPV positivity rate (P= 0.006 and P= 0.001) respectively. Genotypically, 15 hMPV positive samples were showed good (G) gene sequences that were submitted to NCBI, and all the Iraqi strains were appeared to be clustered within the sub-lineage B2 only. In conclusion, human Metapneumovirus was the mostly detected respiratory viral pathogen among less than 5 years of Iraqi children complaining of respiratory tract infection with phylogenetically predominance of sub-lineage B2. The seasonal variation of HMPV can be observed in this study. Emerging HMPV strains are continually evolving.
POLISH ACADEMY OF SCIENCES- WROCLA W BRANCH WROCLAW UNIVERSITY OF TECHNOLOGY ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING

The aim of the monograph was to establish a frame work for automatic processplanning system, based on recognized features and u si g an expert system. The system will be designed for the planning of machining prismatic pa rts on the basis of 3D CAD data. In the first stage of the project includes the analysis of the i nput data from a CAD system is carried out. Then the algorithms of recognising functional const ruction and technological features from solid 3D CAD models are developed. The input models are stored in neutral data formants: IGES or STEP. In the next stage, recognized feature s a clssified. An expert system is used to plan manufacturing processes. The expert system inc ludes the following modules: inferences, technological knowledge database, machine tool data base and tool database. The final module of the designed CAPP system generates output data, i.e., CL data files necessary to create programs for NC machine tools. Information about PhDs and habilitations 96 Title: Monitoring of energy dissipation in hydraulic shock absorbers (in Polish) Monitorowanie rozpraszania energii w amortyzatorach hydraulicznych Author: Wojciech Poprawski Supervisor: Doctor Józef Krzy Ŝanowski, Wrocław University of Technology Promoting Council: Scientific Council of the Institute of Production Engineering and Automation of Wrocław University of Technology Reviewers: Professor Czesław Cempel, Pozna ń Univeristy of Technology Professor Stanisław Piesiak, Professor of Wrocław U niversity of Technology Date of PhD thesis presentation: March 24 , 2005 PhD is available in Main Library of Wrocław Univers ity of Technology The monograph contains: 89 pages, 62 figs, 7 tabs, bi liography: 40 items
Stochastic analysis of infinite particle systems—A new development in classical stochastic analysis and dynamical universality of random matrices

We examine the stochastic dynamics of infinite particle systems moving in R d \mathbb {R}^{d} . The classical stochastic analysis pursues the stochastic dynamics of a single particle. We explain how to extend the classical stochastic analysis when the object becomes an infinite particle system. The equilibrium states of a system of infinite number of particles resulting from random matrices have the logarithmic function as an interaction potential. Hence, we develop a theory that applies to interaction potentials having a dominating influence over long distances. As an application, we show that the universality of point processes related to random matrices holds for stochastic dynamics.
Dario Di Fina's PhD thesis

This dissertation presents a study on three different computer vision topics that have applications to smart environments. We first propose a solution to improve multi-target data association based on `1-regularized sparse basis expansions. The method aims to improve the data association process by addressing problems like occlusion and change of appearance. Experimental results show that, for the pure data association problem, our proposed approach achieves state-of-the-art results on standard benchmark datasets. Next, we extend our new data association approach with a novel technique based on a weighted version of sparse reconstruction that enforces long-term consistency in multi-target tracking. We introduce a two-phase approach that first performs local data association, and then periodically uses accumulated usage statistics in order to merge tracklets and enforce long-term, global consistency in tracks. The result is a complete, end-to-end tracking system that is able to reduce tracklet fragmentation and ID switches, and to improve the overall quality of tracking. Finally, we propose a method to jointly estimate face characteristics such as Gender, Age, Ethnicity and head pose. We develop a random forest based method based around a new splitting criterion for multi-objective estimation. Our system achieves results comparable to the state-of-the-art, and has the additional advantage of simultaneously estimating multiple facial characteristics using a single pool of image features rather than characteristic-specific ones.
Implementation of Fuzzy Logic for Introducing Security at Process Level in Agile Development

-Agile software development has had a huge impact on how software has evolved worldwide recently. The key aspect of the agile development is a flexible structure with faster development time that allows handling changes to new requirements easier than the older more rigid processes. Even though the agile approach is becoming popular, it is reported to have disadvantages related to secure software development. In order to build secure software, security enhanced processes and practices are needed. The growing trend towards the use of agile techniques for building software and the increase in security breaches over the past few years means that it is essential to integrate existing high-profile SE processes with agile processes. This paper addresses this major concern of security requirements of projects using agile approach. It provides a roadmap to introduce security at process level using fuzzy logic. It is implemented in Java language with graphical user interface. It uses a lightweight method to enhance the security features by integrating security activities from Security engineering processes without compromising the agility of agile process.
An Improved Domain Multiple Kernel Support Vector Machine

In support vector machine (SVM), it is critical to deﬁne the kernel function and a diﬀerent kernel would cause diﬀerent classiﬁcation accuracy. People have started pursuing how to make the most use of multiple kernels harmoniously to improve the SVM performance, hence, the multiple kernel learning (MKL). Recently, an eﬃcient generalized multiple kernel learning (GMKL) method was presented, which combines the advantages of L 1 -norm and L 2 -norm. However, the GMKL algorithm does not make the most use of the common information among the selected kernels. On the other hand, the MultiK-MHKS algorithm uses the canonical correlation analysis (CCA) to get the common information among the kernels while ignoring the selecting of kernels. So this paper tries to combine them and an improved domain multiple kernel support vector machine (IDMK-SVM) is presented. Simulation experiments demonstrate that the IDMK-SVM gets a higher classiﬁcation precision than the existing typical MKL algorithms.
Cognitive load and social planning decision-making

Recently, evidence has shown that feeling to have less than one needs impairs an individual’s cognitive resources and in turn, influences how we decide on others. Motivated by the breadth of the concept of scarcity, this experimental study assesses the effect of cognitive depletion on inequality preferences of social planners and how losses and gains affect our decisions on others. In their role as social planners, participants were asked to redistribute a previously incurred gain or loss between two parties. How subjects redistribute the gains or losses gives valuable insights into their inequality preferences. In two treatments, a cognitive depletion task preceded the allocation decision. The study finds no evidence for an effect of cognitive depletion on the inequality preferences of social planners. Moreover, it seems that social planners show an increased tendency toward inequality when they decide on losses, as compared to when they decide on gains. However, this effect is sensitive to cases of extreme reallocation.
Design, modelling and simulation of controlled sepic DC-DC converter-based genetic algorithm

This paper discusses various aspects of a single-ended primary inductance DC-DC converter (SEPIC). The focus is on design, modelling, and simulation results of a SEPIC converter. The study analyses the principle of SEPIC operation when operated in continuous conduction mode (CCM). Additionally, the mathematical equations for the design modules are calculated as per converter requirements. State-space equations are used to formulate the state-space model of the SEPIC converter. To satisfy the best-performance criterion of the system, the parameters for controller (K p , K i , K d ) should be tuned or optimized using the genetic algorithm (GA) optimization technique. Controller parameters are determined using an objective function that minimises the integral time absolute error (ITAE). Simulations performed on a closed-loop system reveal that the step response with a PID controlled based GA displayed superior performance. A closed-loop system has a substantially bigger stability region compared to an open-loop system. The simulation optimised performance metrics like maximum overshoot percentage (M p ), rise time (t r ), and settling time (t s ). MATLAB/Simulink R2018a® and m-file code are used for the system modelling, simulation, and optimization of the PID controller parameters based on the GA.
Phylogenetic and pathotypic characterization of newcastle disease virus in Tibetan chickens, China

Zhu H. , Zhang H. , Wang Y. , Ciren D. , Dong H. , Wu Q. , Rehman M. Ur, Nabi F. , Mehmood K. & Li J. 2018. Phylogenetic and pathotypic characterization of newcastle disease virus in Tibetan chickens, China. Pesquisa Veterinária Brasileira 38(1):37-40. XiZang Agriculture and Animal Husbandry College, Linzhi 860000 Tibet, China. E-mail: zh0561@sina.com Chickens are considered to be potential reservoirs of Newcastle disease virus (NDV). In this study, six Newcastle disease virus strains were isolated and characterized in Tibetan chickens. The HN gene was sequenced, and phylogenetic relationship to reference strains was studied. The phylogenetic analysis demonstrated that these six isolated strains were closely related to NDV isolates of the reference strains GQ245823, KT002186, KU527561, KJ563939, AY225110, EU305607, KM056357, Y18898, GQ245832, AF077761 and lasota strain. Among them, EU305607, KJ563939 and KM056357 were isolated from India, while lasota strain came from attenuated vaccine widely used in China. Then, mean death time (MDT) and intracerebral pathogenicity index (ICPI) were used to estimate the pathogenicity of the isolates. Pathogenicity experiment showed HNH1 and HN17 to be virulent. Our results indicated that genetically diverse viruses circulate in Tibetan chickens, and based upon the phlogeographic analysis, we estimated the origin of ancestral viruses of the isolates and its sister strains located in India and China (lasota strain). It indicates the importance of continuous surveillance to enhance current understanding of the genetic evolution of the NDV strains.
Two Dimensional Knapsack problem using industrial Robots

1. Abstract We have developed an automatic cutting system to resolve the two-dimensional non guillotine single knapsack problem (2D-SKP). The system is composed by four blocks: optimization stage, code-generator, manipulator and plasma cutter. This paper is the first of two companion papers that describe the system and its use. In this paper we concentrate on development and validation of the stages associated with the optimization and code-generator. At the optimization stage we use a Greedy-Randomized-Adaptive-Search-Procedure (GRASP); an iterative procedure that resolves the location of each piece in the container. At the code generation stage we use the forward kinematic model (FKM) of the manipulator; this model allows computing the position and orientation of the end-effector from specified values for the joint variables. The GRASP procedure was validated by using a benchmark and comparing: computation time, used area of the solution. The results allow concluding the correctness of the procedure and a superior performance in computation time. This superiority must be examined with new benchmarks before generalization. The FKM was validated through comparison of results with two references: (i) FKM implemented in the simulator provided by the Robot vendor: MotoSim, (ii) FKM model implemented in the controller provided by the Robot vendor: DX100. The comparison allows confirming that the computed model is correct for the first reference but differs for the second reference. Finally, we proposed a post-processing stage to improve the cutting performance. The post-processing stage increases the performance for the case-study with a reduction of 37.65% for cutting time and a reduction of 0.84 units in accuracy, in terms of relative error.