Miracle-dz/UniFAR-FTUs huggingface dataset:
A Collaborative Framework Supporting Ontology Development Based on Agile and Scrum Model

SUMMARY Ontology describes concepts and relations in a speciﬁc domain-knowledge that are important for knowledge representation and knowledge sharing. In the past few years, several tools have been introduced for ontology modeling and editing. To design and develop an ontology is one of the challenge tasks and its challenges are quite similar to software development as it requires many collaborative activities from many stakeholders (e.g. domain experts, knowledge engineers, application users, etc.) through the development cycle. Most of the existing tools do not provide collaborative feature to support stakeholders to collaborate work more e ﬀ ectively. In addition, there are lacking of standard process adoption for ontology development task. Thus, in this work, we incorporated ontology development process into Scrum process as used for process standard in software engineering. Based on Scrum, we can perform standard agile development of ontology that can reduce the development cycle as well as it can be responding to any changes better and faster. To support this idea, we proposed a Scrum Ontology Development Framework, which is an online collaborative framework for agile ontology design and development. Each ontology development process based on Scrum model will be supported by di ﬀ erent services in our framework, aiming to promote collaborative activities among di ﬀ erent roles of stakeholders. In addition to services such as ontology visualized modeling and editing, we also provide three more important features such as 1) concept / relation misunderstanding diagnosis, 2) cross-domain concept detection and 3) concept classiﬁcation. All these features allow stakeholders to share their understanding and collaboratively discuss to improve quality of domain ontologies through a community consensus.
Multi-Layered DP Quantization Algorithm

SUMMARY Designing an optimum quantizer can be treated as the optimization problem of ﬁnding the quantization indices that minimize the quantization error. One solution to the optimization problem, DP quantization, is based on dynamic programming. Some applications, such as bit-depth scalable codec and tone mapping, require the construction of multiple quantizers with di ﬀ erent quantization levels, for example, from 12bit / channel to 10bit / channel and 8bit / channel. Unfortunately, the above mentioned DP quantization optimizes the quantizer for just one quantization level. That is, it is unable to simultaneously optimize multiple quantizers. Therefore, when DP quantization is used to design multiple quantizers, there are many redundant computations in the optimization process. This paper proposes an extended DP quantization with a complexity reduction algorithm for the optimal design of multiple quantizers. Experiments show that the proposed algorithm reduces complexity by 20.8%, on average, compared to conventional DP quantization.
Materials and Technologies for the Tertiary Treatment of Produced Water Contaminated by Oil Impurities through Nonfibrous Deep-Bed Media: A Review

This review covers various aspects of the treatment of emulsified oil/water mixtures and is particularly focused on tertiary treatment, which means the reduction of the oil content from 70–100 ppm to below 10 ppm, depending on national regulations for water discharge. Emulsified oil/water mixtures frequently occurs in water treatment processes because, in the petroleum industry, chemically enhanced oil recovery leads to the production of a vast amount of oil-emulsified wastewater. This review is focused on various aspects of tertiary treatment via granular deep-bed filtration. The importance of polymeric materials, as well as carbon nanostructures, which may be an alternative to the current media have been highlighting. The particular potential of polymers is based on their broad availability and low price (particularly for polyolefins), the simple treatment of their surfaces through a variety of chemical and physical methods to design surfaces with tailored surface free energy (wettability), and the porosity. Polymer technology offers a variety of well-established methods for designing foams with tailored porosity, which, together with appropriately tuned surface energy and controlled roughness, would open new avenues for the production of foamy media for efficient oil/water separation. Additionally, a crucial inventions in deep-bed filtration is discussed.
Utrecht-Management of Identity Commitments Scale (U-MICS): Greek adaptation and measurement invariance across time and ethnic groups

ABSTRACT The Utrecht-Management of Identity Commitments Scale (U-MICS) is one of the most-commonly used self-report scales to assess personal identity in studies of developmental processes. While it has been translated and validated in many countries around the world, evidence of its applicability in Greek is absent. The purpose of this study was to examine the factor structure of the Greek version of the U-MICS, and to test its measurement invariance across time and across ethnic groups living in Greece. Using data from 811 adolescents (M age = 12.57, SD age = 0.49 at Wave 1, 45.9% girls, 47.1% immigrant), Confirmatory Factor Analyses on the Greek U-MICS supported its well-established three-factor structure. Even though testing invariance of the educational U-MICS showed mixed results, the factor structure and the measurement properties of the interpersonal U-MICS were found to be comparable across ethnic groups, and across three years of junior high school. Finally, the bivariate associations of the three dimensions of the U-MICS with indices of adaptation (self-esteem, and emotional symptoms) partially supported the convergent validity of the scale. This study adds to the existing pool of studies supporting the applicability of the U-MICS in different languages and ethnic groups.
Major trauma centre Lead Clinicians: An evaluation of current practice in major trauma centres in England

Background NHS England requires there to be a clinical consultant with managerial responsibility for the Major Trauma Centre (MTC) service, who holds the title of MTC Lead Clinician. The objective of this study was to investigate the role of MTC Lead Clinician in England. Firstly, identifying the parent speciality of the current cohort and their background and training. Further aims were to ascertain what attracted clinicians to the position and to explore ideas about how to train the next generation of MTC Lead Clinicians. Methods Survey-based data collection was performed. Included were current MTC Lead Clinicians, or those with equivalent job descriptions, for adult major trauma. Paediatric MTCs and Trauma Units were excluded. Fixed choice questions were analysed using descriptive statistics. Open-ended questions were interpreted using thematic analysis. Results The response rate for the survey was 81.81%. The largest proportion of respondents were Emergency Medicine Physicians (38.9%). Previous senior leadership roles were identified as valuable previous experience. Regular attendance at conferences was deemed to be of more importance than specific training courses. Leadership, management, and financial skills were identified as key areas for further training. There was variance in both the job role and the time allocated for these duties between centres. Conclusion Currently there is variation in the parent specialty, role responsibilities and preparation for MTC Lead Clinicians in England. Our findings suggest that guidance on appropriate training, clarity in responsibilities and fostering leadership and managerial skills are important as the role develops for the future.
Do All Resistance Exercise Protocols Improve the Functional Parameters of the Elderly? A Review Study

Context: Aging has been associated with negative changes in the neuromuscular system, significantly impairing the performance of daily life activities. A number of studies have validated functional tests (e.g. timed-up-and-go, gait speed) for the assessment of daily activity performance in the elderly. Thus, it is critical to understand the role of exercise training in this context. The practice of resistance training (RT) has been found to promote muscle strength in the elderly; however, we cannot safely state that any of these resistance exercise protocols would lead to improved performance of functional parameters (e.g. timed-up-and-go, gait speed, getting out of a chair) of this population. To assess the effects of RT on functional parameters of the elderly and to undertake a detailed assessment of the exercise protocols surveyed. Methods: PubMed, Cochrane CENTRAL, and PEDro databases were used to search the literature. A total of 917 articles were initially selected, of which 10 peer-reviewed articles met the search criteria. Results: In the included studies, the positive effects of RT on the functional parameters of the elderly were observed. The training protocols presented the following characteristics: duration of 12 – 16 - 24 - 36 - 60 - 72 sec and 96 sessions; frequency of 1 - 3 sessions per week; training volume of 2 - 5 sets of 4 - 15 repetitions; 40 - 60 - 90 - 120 - 180 sec rest interval between sets; 40 - 60 - 90 - 120 - 180 sec rest interval between exercises; 24 - 48 - 72 hour rest interval between sessions; 40 - 85% intensity of one maximum repetition; isotonic contractions, contraction velocity (as fast as possible-1 - 2 - 3 seconds to concentric and 2 - 3 seconds to eccentric phases). Conclusions: Although the benefits of RT were observed, it was not possible to determine that any of these resistance exercise protocols would lead to improved performance of functional parameters (e.g. timed-up-and-go, gait speed, getting out of a chair) of this population, given the limitations we found in the research papers reviewed.
Rare Case Report of Closed Traumatic Dislocation of Second to Fifth Metatarsophalangeal Joints

Closed traumatic dislocation of multiple metatarsophalangeal joints is a rare injury. Until now only one case of simultaneous dislocation of all five metatarsophalangeal joints has been reported in peer-reviewed studies. The complex anatomy of the metatarsophalangeal joints prevents the relocation of the joints in a closed manner in maximum cases. We are reporting a case of dorsal dislocation of the second to fifth metatarsophalangeal joints in the left foot after road traffic accident. Bony prominence over the plantar aspect and increased web space between toes on presentation, then incongruity of metatarsophalangeal joints has to be thoroughly checked on radiograph. Since closed reduction attempts failed open reduction was done through dorsal approach using two incisions. Button holing of the capsule with interposition of capsule and plantar plate was noted. Dorsal approach avoids damage to the plantar plate and surrounding soft tissues.
Multiple-Antibiotic Resistance and Presence of CTX-M Genes among Enterobacteriaceae Isolates from Different Sources in Iwo, Osun State, Nigeria

Aims: Assessment of the antibiotic resistance pattern and detection of genes responsible for the βlactam resistance in enterobacteria isolated from different sources was carried out in the course of the study. Place and Duration of Study: Samples from different sources in Iwo, Osun State, Nigeria including Abattoir and Cow ranch. The study was done August 2015 to May 2016. Methodology: Isolation was done on nutrient agar, xylose lysine deoxycholate (XLD) and identified using standard procedures. Antibiotic multidisc containing the following ceftazidime (30 μg), cefruroxime (30 μg), gentamicin (10 μg), ciprofloxacin (5 μg), ofloxacin (5 μg), augmentin (30 μg), nitrofurantoin (300 μg), and ampicillin ( ) were used to study the resistance patterns of the bacteria. Polymerase chain reaction (PCR) method was carried out to screen for CTX-M gene in beta-lactam resistant isolates and statistical analyses were carried out using the analysis of variance test (ANOVA) and the PAST (paleontology statistics) software analytical package where applicable. Results: Fifty-two (52) entrobacteria consisting of nine genera (9) were isolated and identified, Serratia (13), Enterobacter (11), Klebsiella (6), E. coli (5), Proteus (5), Salmonella (3), Shigella (3), Original Research Article Adeleke and Owoseni; MRJI, 30(9): 30-38, 2020; Article no.MRJI. 62288 31 Citrobacter (3), and Yersinia (3). The highest resistance observed by the isolates was to ampicillin (80.7%) followed by augmentin (40%) and 33% resistance of the isolates to cefuroxime, while all the isolates were sensitive to ceftazidime, gentamicin, ofloxacin, ciprofloxacin and nitrofurantoin. Nineteen of the isolates were resistant to three or more of the tested antibiotics i.e. multiple resistance while five of the multidrug resistant isolates show the presence of CTX-M β-lactam resistance gene which seems to be responsible for their resistance to the β-lactam antibiotic tested. Conclusion: There are a number of organisms in the environment that have developed multiple resistances to several antibiotics and in view of this thwart treatment; of major concern are the Enterobacteriaceae family in which new resistance characteristics have been discovered leading to increasing resistance to standard available drug therapies.
Carbon Nanotubes Reinforced Nylon-6 Composite Prepared by Simple Melt-Compounding

The challengesfor developing high-performance CNTs/polymer nano-composites are (i) homogeneous dispersion of CNTs inthe polymeric matrix and (ii) strong interfacial interac-tions so as to effect efficient load transfer from thepolymeric matrix to the CNTs. Without chemicallybonding, load transfer between the CNTs and thematrix mainly comes from electrostatic and van derWaals interactions.
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis

Large-scale (large-area), fine spatial resolution satellite sensor images are valuable data sources for Earth observation while not yet fully exploited by research communities for practical applications. Often, such images exhibit highly complex geometrical structures and spatial patterns, and distinctive characteristics of multiple land-use categories may appear at the same region. Autonomous information extraction from these images is essential in the field of pattern recognition within remote sensing, but this task is extremely challenging due to the spectral and spatial complexity captured in satellite sensor imagery. In this research, a semi-supervised deep rule-based approach for satellite sensor image analysis (SeRBIA) is proposed, where large-scale satellite sensor images are analysed autonomously and classified into detailed land-use categories. Using an ensemble feature descriptor derived from pre-trained AlexNet and VGG-VD-16 models, SeRBIA is capable of learning continuously from both labelled and unlabelled images through self-adaptation without human involvement or intervention. Extensive numerical experiments were conducted on both benchmark datasets and real-world satellite sensor images to comprehensively test the validity and effectiveness of the proposed method. The novel information mining technique developed here can be applied to analyse large-scale satellite sensor images with high accuracy and interpretability, across a wide range of real-world applications.
Large winter falcons and their Rock Pigeon (Columba livia) prey at an urban grain terminal in Edmonton, Alberta: an update

In winter, Gyrfalcon (Falco rusticolus) and Prairie Falcon (Falco mexicanus) frequent a 96-year-old grain terminal, in Edmonton, Alberta, hunting Rock Pigeon (Columba livia). This phenomenon was reviewed shortly after it was first noticed by others in 1998 and, since then, we have observed hunting success and methods of Gyrfalcons and Prairie Falcons that were similar but not identical to earlier observations, with success rates of 21.0% and 10.6%, respectively, compared with 10.6% and 26.0% earlier. The most frequently observed hunting strategy for both species was a repeated upward attack on swirling Rock Pigeon flocks, resulting in success rates of 10.7% and 11.4%, respectively. Notably, 50% of downward dive hunts made by Gyrfalcon were successful, although only eight hunts using this method were recorded. The falcons were mildly selective with respect to pigeon colour morphs, with an apparent preference for pied colouration. Contrary to previous interpretations, Rock Pigeon do not appear to eat spilled grain on the building to any great extent; instead, the terminal may simply provide abundant roosting sites, which attain surface temperatures roughly 10°C warmer than ambient on sunny days and at temperatures below −20°C when the building is warmed internally.
Ultrasensitive electrochemiluminescence detection of thrombin based on aptamer and cystamine modified gold nanoparticle probe

Recently, our group showed that one can detect specific oligonucleotides at low femtomolar levels with the electrochemiluminescence (ECL) biobarcode approach based on tris-(2, 2'-bipyridyl) ruthenium (TBR)-labeled cysteamine. It would be a significant advance to use the cysteamine assisted ECL biobarcode assay to detect protein targets in addition to DNA targets. Taking advantage of sandwich binding of two affinity aptamers for increased specificity, TBR-cysteamine as biobarcode for signal amplification and magnetic beads based ECL technology for rapid detection, a promising assay for thrombin quantification is developed. The sandwich complex could be selectively captured by micromagnetic particles and then quantified by ECL signals. Current cysteamine-Gold nanoparticle (GNP) conjugates based ECL biobarcode assay is expected to become a powerful tool for protein analysis.
Large-Scale Synthesis of Berlin Green Fe[Fe(CN)6] Microcubic Crystals

Berlin green FeFe(CN)6 microcubic crystals have been successfully prepared by a simple hydrothermal process between K3[Fe(CN)6] with Na2S2O3 aqueous solution, free of any surfactant or template. The experimental results clearly show that the molar ratio of K3[Fe(CN)6] to Na2S2O3 and their concentrations are the dominant processing factors in controlling the size, morphology, and composition of the resulting products.
Nucleation and Growth during Al2O3 Atomic Layer Deposition on Polymers

Nucleation and growth during Al2O3 atomic layer deposition (ALD) were explored on a variety of polymer films at 85 °C. Al2O3 ALD was performed using sequential exposures of Al(CH3)3 [trimethylaluminum (TMA)] and H2O. The polymer films were polystyrene (PS), polypropylene (PP), poly(methyl methacrylate) (PMMA), polyethylene (PE), and poly(vinyl chloride) (PVC). These polymer films were prepared by spin-coating onto the surface of a quartz crystal microbalance (QCM) sensor or the surface of a Si(100) wafer. Al2O3 ALD during the sequential TMA and H2O exposures was monitored in situ on the various polymers using the QCM. The QCM measurements revealed distinct differences for each polymer in the initial nucleation period during Al2O3 ALD. Following the initial nucleation period, linear Al2O3 ALD growth was observed on all the polymers. The thickness of the Al2O3 ALD films was also characterized by ex situ surface profilometry. Based on the QCM measurements and recent FTIR measurements of Al2O3 ALD on low-dens.
PREDICTIVE CAPACITY OF FDTD METHOD EMBEDDING MTLN TECHNIQUE FOR LIGHTNING AND HIRF THREATS

In this paper, the effectiveness for inferring the responses to electromagnetic threats of the finite difference time domain method combined with a multi-conductor, multi-shield, and multi-branched cable harness transmission line solver is validated by comparing simulation results with measurements performed on an equipped cockpit partially made by carbon fiber composite. A complete lightning indirect effects and high-intensity radiated field testing campaign was carried out in this cockpit within the scope of the European research and technology project Clean Sky 2 whose main goal is to reduce the aviation environmental impact by, for instance, building low-weight aircrafts with the increasing use of carbon fiber. Simulations are performed with EMA3D and MHARNESS obtaining very good agreement with measurements for a variety of observables and in a wide frequency range, thus proving the predictive capacity of these numerical methods for estimating the electromagnetic behavior of complex structures.
SOIL FACTORS AFFECTING PLANT UPTAKE OF PHOSPHATE

Summary Short- and long-term uptake of phosphate by ryegrass grown in pots were both well correlated with combinations of the logarithm of the phosphate concentration in solution (log[P]), with a capacity factor (L-value). It is suggested that log[P] measures an intensity/kinetic complex that takes account of intensity, rate, and diffusion factors. The best correlation with a single parameter was with phosphate adsorbed by anion-exchange resin, which gives a good measure of the capacity factor and also some measure of the intensity/kinetic complex. On soils of normal phosphate status, the capacity factor tended to be more important, suggesting local exhaustion of labile phosphate. With enriched soils, the intensity/ kinetic complex measured by log [P] was dominant both for short- and long-term uptake.
A New Massive (omics) Analysis for Fruit Development and Other Important Traits in Prickly Pear (Opuntia spp)

Prickly pear (cactus fruit) is an important crop in Mexico, it helps to the establishment of Mexican antique civilization. As a ripening model, it has a unique character because include morphospecies with contrasting characteristics, making easier their interpretation. The main commercialization problems for prickly pear include the presence of seeds and spines (gloquids), it would be interesting to idenfied the genetic factors involve in their synthesis of these structures, through genetic expression in order to design some strategy for their control. In this study we have been used different molecular and bioinformatics strategies for the identification of the factors related to prickly pear development. In proteomics assays using three morphospecies with contrasting development and fruit ripening, it was possible to identified the minimal number of required peptides for fruit development and ripening delay, also were identified peptides associated to regulatory functions in transcendental metabolic functions. In the miRNA transcriptome, were identified 255 molecules associated to the fruit development and other important process, such as adaptation to extremal growth conditions, were cactus plants growth. Seven families of miRNAs were associated to fruit development and plant adaptation, and the pathway of miRNA participation was determined. The expression assays shown the effects of miRNAs on fruit development in prickly pear.