bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interactive effect of genotype and medium on microtuberization of potatoes (Solanum tuberosum L.) grown in vitro
Authors: Zahia Kadi , Malika Rached Kanouni , Sara Khammar , Abderrezeq Chebout , Hichem Khammar , Ramzi Hadjab , Lilia Redjaïmia , Zahira Bouziane 
Published: May 2020

Abstract
This work investigates the interactive effect of six culture media and three photoperiods (darkness, 16h/8h, 8h/16h) on the microtuberization of four potato varieties (Spunta, Désirée, Kondor and Bartina). The objective is to determine the best tuberization under these growing conditions. The measured parameters which are related to the suitability of the tuberization characteristics are: the morphological aspects (shape, position) and the biometric ones (number and diameter of tubers). The obtained results permit to valorize the meristems that constitute the starting explant, and their good organogenetic skills to provide the first generation of micropropagation with healthy vitroplants in a sufficient quantity. Thus, the grown vitroplants on the medium (MS/2+BAP+COU) presented the best values which are related to the percentage of tuberization, the number of microtubercles / vitroplants and weight of tubers. Moreover, the Bartina genotype showed a remarkable superiority over its media and under a 16h/8h photoperiod except for the diameter of the tubers, where this genotype had the best diameter over the medium (MS/2+KIN) under an 8h photoperiod.
In vitro investigation of the antioxidant and antimicrobial effects of hydro-alcoholic and aqueous extracts of Globularia alypum L.
Authors: Kraza Lamia , Mourad Senoussi Mohammed , Halis Youcef 
Published: May 2020

Abstract
The aim of this work was to establish the antioxidant and antimicrobial activity of hydro-alcoholic and aqueous extracts prepared from the leaves of Globularia alypum L. The quantitative estimation of total polyphenols (by the Folin-Ciocalteu method) and total flavonoids (by the method of aluminium trichloride) showed that the aqueous and ethyl acetate extracts had the highest content of phenolic and flavonoid compounds. Moreover, the results of antioxidant power assessed by both method DPPH and phosphomolybdenum indicated that leaves extracts of G. alypum expressed a considerable activity. The evaluation of the antimicrobial effects, using the disc diffusion method from antibacterial screening and the direct contact method from the antifungal activity, indicated strong antibacterial and antifungal activity.
Antimicrobial activity of aqueous methanolic extracts of Algerian cultivars of sorghum (Sorghum bicolor (L.) Moench)
Authors: Farida Kadri , Messaoud Boudjeniba , Bernard Wathelet , Salah Akkal 
Published: May 2020

Abstract
Certain phenolics have been recognized to possessing antibacterial and antifungal activities and high levels of flavonoids and tannins have been reported in several varieties of Sorghum bicolor (L.) Moench. Antimicrobial activity and phenolics contents were investigated in five Algerian sorghum seeds. AS20 sorghum extract showed the highest levels of: total phenolics (3214.46±263.64 mg/100 g), flavonoids (32.03±1.64 mg/100 g) and tannins (615.35±6.10 mg/g) contents; however, comparable flavonoids content was recorded in I27 extract. FZ40 and AS12 flavonoids contents were comparable. Screening for antimicrobial activity, carried out by the disc’s diffusion method revealed an antimicrobial potential of sorghum crude extracts against Gram-positive and Gram-negative bacteria and candida albicans yeast. Minimal inhibition concentration determined by microdilution method varied between 0.2 and 2 mg/ml. the lowest value was recorded with F11 and FZ40 extract against Streptococcus pneumoniae and F11 against Escherichia coli. Bacillus subtilis, Staphylococcus aureus ATTCC6538 and MRSA strains showed sensitivity to all extracts. The results show these sorghums as a potential source of natural anti-streptococcal, anti-staphylococcal and anti-candida substances.
Cellular Apoptosis, Mitochondrial Swelling, Permeability and Cytochrome-C Level After (Fe3o4)-Nps Nanoparticles Exposure and Protective Role of Diferuloylmethane in Rats Liver
Authors: Bouteraa Zina , Rouabhi Rachid , Menaceur Fouad , Gasmi Salim 
Published: May 2020

Abstract
During recent years the defensive role of diferuloylmethane against oxidative stress and apoptosis has been experimentally documented. Fe3O4-NPs can cause cellular death by inducing oxidative stress. Present study aimed to investigate whether diferuloylmethane could protect rats mitochondria against Fe3O4-NPs intoxication. Twenty adult male rats were randomly chosen and divided into four groups: control; treated with 10 mg/kg/d of Fe3O4-NPs; treated with diferuloylmethane at the dose 20 ml/kg/d; treated with Fe3O4-NPs (10 mg/kg/d) and diferuloylmethane (20 ml/kg/d) respectively for 28 days. The results showed that Fe3O4-NPs increased the Alanine aminotransferase (ALT), aspartate aminotransferase (AST), lipid peroxidation, mit-GSH (Glutathione), mit-CAT (Catalase), mit-GST (Glutathione S-transferase) and decreased mit-GPx (Glutathione peroxidase), with increased in mitochondrial swelling and permeability followed by the increasing level of plasmatic Cyt-c. The addition of diferuloylmethane (DFM) to these samples reduces or corrects the amount of the most of biomarkers. These findings have demonstrated that DFM can act as an antioxidant and antiapoptotic factor against damages induced by Fe3O4-NPs.
Numerical and Experimental Comparative Analysis of Ballistic Performance of Packages Made of Biaxial and Triaxial Kevlar 29 Fabrics
Authors: Pinkos Justyna , Stempien Zbigniew 
Published: May 2020

Abstract
The objective of this study is a comparative analysis of the ballistic effectiveness of packages made of biaxial and triaxial Kevlar 29 fabrics under the hitting of Parabellum 9×19 bullet. We conduct both numerical simulations using the LS-Dyna program and experimental research in a ballistic research laboratory. Based on the comparative analysis of the results from the numerical and experimental research, demonstrated differences exist in the ballistic effectiveness between the packages made of biaxial fabrics and the packages consisting of triaxial fabrics. For this purpose, the residual velocity of the bullet is analyzed in detail in terms of the maximum deformation cone, the shape of the deformation cone, and the distribution of stress for the textile ballistic packages. It is established that the packages made of triaxial fabric show a considerably smaller deformation cone compared with the packages made of biaxial fabric, a more favorable shape of the deformation cone from the perspective of ballistic trauma and distribution of stress similar to materials with isotropic properties. Poorer properties are recorded for these packages in the case of the minimum number of layers necessary for stopping the bullet, which arises from the open-work structure of the fabric.
The effects of an eight-week multi-model sport activity home programme on function of children with cerebral palsy
Authors: Polat Sema Özandaç , Yücel Ahmet Hilmi , İnce Gonca 
Published: May 2020

Summary

Study aim: This study was performed to investigate the effects of an eight-week multi-model sport activity home programme on function of children with cerebral palsy.

Material and methods: The study included 44 patients (11 girls, and 33 boys) aged between 4 and 11 years, having spastic diplegic and hemiplegic cerebral palsy, and receiving physical treatment from the rehabilitation centre. The 44 patients were divided into two groups each consisting of 22 children as the experimental group and control group. The mean age, height and weight were 8.27 ± 2.10 years, 123.36 ± 17.33 cm and 25.45 ± 8.87 kg in the experimental group, while the same parameters were 7.27 ± 2.80 years, 109.36 ± 16.99 cm and 20.20 ± 7.16 kg in the control group. Before taking measurements, the consent forms were signed by the families of patients with CP. The physical therapy programme based on the Bobath NDT method which took forty minutes was applied to both groups two days per week. Also, the multi-model sport activity home programme which took 50 minutes was applied regularly during eight weeks and five days a week in the Experimental Group. The Impact on Family Scale, the Gross Motor Function Classification System, the Gross Motor Function Measure, One Minute Walk Test, the time standing on the left and right foot, and Visual Pain Analog Scale were evaluated before and after the eight-week multi-model sport activity home programme.

Results: There were no significant differences in some measurements including the Gross Motor Function Classification System, the Gross Motor Function Measure, One Minute Walk Test, and the time standing on the left and right foot. A significant difference was found only in the Visual Pain Analog Scale (p = 0.003).

Conclusion: The effects of the eight-week multi-model sport activity home programme can contribute to a decrease in pain level of children with cerebral palsy.
Anaerobic endurance of dance sport athletes
Authors: Kuliś Szymon , Sienkiewicz-Dianzenza Edyta , Stupnicki Romuald 
Published: May 2020

Summary

Study aim: To assess the impact of an ordinary training week cycle lasting 6 months on the anaerobic endurance of dance sport athletes.

Material and methods: Two couples of standard style and six couples of ten dance style, aged 14–26 years, of diverse competitive categories (E, D, B, A, S), were subjected to maximum runs 8 × 50 m spaced by 15-s intermissions, before and after half-year training. Running time of every run and post-run heart rate (HR) were measured. The results were expressed as running velocities (m/s) and R-R intervals for heart rates.

Results: Velocities were significantly higher in the post-test (5.21 ± 0.21 m/s and 5.57 ± 0.34 m/s for women and men, respectively) than in the pre-test (5.13 ± 0.13 m/s and 5.39 ± 0.24 m/s, for women and men, respectively) (F1,14 = 14.70, p = 0.0018, η2 = 0.51) despite the fact that a significant decrease of speed in each successive run was noted (F7,98 = 82.19, p < 0.001, η2 = 0.85) for all of the participants in the pre-test and post-test.

Conclusions: The half-year training cycle of dance sport couples had no significant impact on their anaerobic endurance. It seems that individual training plans should include dancing interval exercises and interval training. The performance index is a useful tool in monitoring the training process and can be used as an accurate method for evaluating the anaerobic predispositions of athletes. It is recommended to develop specific, test-suitable dancing exercises.
A Structuralist Concept of the Rule of Law
Authors: Golanski Alani 
Published: May 2020

Abstract
The prevalent approach to the concept of the rule of law among legal theorists puts attributes first, assigning certain features of laws and sometimes legal systems as rule-of-law virtues. Inquiring at a more basic level, this paper advances a novel, structuralist view of the rule of law. While honoring theoretical constraints that guard against diluting the rule-of-law concept too thinly as a remedy for myriad societal ills, this approach shows that the concept implicates inequalities sustained by a society's social, economic, and political structures. This is accomplished by demonstrating that the rule-of-law project holds a structural position in the collective normative discourse as a vehicle by which people morally evaluate the interplay between the actual capabilities of individuals and groups to participate in law, and the legal system's treatment of those individuals and groups.
Law's procedural outputs may formally provide the public with access to the legal system, but the rule-of-law project goes to the actual capabilities of the people to access the system in reality, to have a fair opportunity to participate in the inputs into the system, and to have that participation impartially adjudicated. Conditions impacting a diversity of stakeholders – and particularly the most disadvantaged within the population – perturb the virtues typically associated with the rule-of-law ideal when those conditions, and the power exercised to maintain them, impair capabilities for fair, dignified, and equal access to legal processes.
Understanding the rule of law in structuralist terms, as an informal moral operator, (1) makes sense of the schism we normally accept between the concepts of law and the rule of law, (2) reorients the source of rule-of-law thinking from theorists bent on fixing a conceptual definition to communities engaged in first-order interactions with the legal system, (3) helps explain why citizens come not only to expect law to constrain official coercive powers but also to demand that law promote their actual capabilities to participate in the legal system on an egalitarian and dignitarian footing, and hence (4) implicates a critique of conditions of political and material inequalities that cannot but impair the healthy functioning of the rule-of-law project.
RETRACTED: A Smart Social Insurance Big Data Analytics Framework Based on Machine Learning Algorithms
Authors: Senousy Youssef , Shehab Abdulaziz , Hanna Wael K. , Riad Alaa M. , El-bakry Hazem A. , Elkhamisy Nashaat 
Published: May 2020

Abstract
Social insurance is an individual’s protection against risks such as retirement, death or disability. Big data mining and analytics are a way that could help the insurers and the actuaries to get the optimal decision for the insured individuals. Dependently, this paper proposes a novel analytic framework for Egyptian Social insurance big data. NOSI’s data contains data, which need some pre-processing methods after extraction like replacing missing values, standardization and outlier/extreme data. The paper also presents using some mining methods, such as clustering and classification algorithms on the Egyptian social insurance dataset through an experiment. In clustering, we used K-means clustering and the result showed a silhouette score 0.138 with two clusters in the dataset features. In classification, we used the Support Vector Machine (SVM) classifier and classification results showed a high accuracy percentage of 94%.
Effective strategies in new curricula development at Higher Education Institutions in South Africa
Authors: Fritz Wilfred , Stringer Toni , Staak Anthony 
Published: May 2020

Abstract
Re-curriculation is currently the most talked about topic in Higher Education in South Africa because of the new Higher Education Qualification Sub-Framework alignment process required by all Higher Education Institutions. However, the lecturer in the classroom, especially new lecturers, are also faced with the task of designing the actual curricula of a subject once the new qualification is to be implemented, in terms of achieving the aims and objectives of the subject area. In other words, ensuring that the outcomes of the subject are achieved by the student. Ideally all lecturers at institutions of higher learning should develop strategies for their “own” curricula. Developing the aforementioned strategies might be challenging to first time lecturers. The methodologies of developing a new qualification and strategies for building curricula is discussed in this paper are different curriculum planning methods and strategies. The aforementioned strategies are focusing on students, mentoring, supportive tools such as software programmes, feedback and assessments. The findings of this paper are proper curricula development to enhance the ability to understand, recall and apply information. The main objective is to use proper curricula development to empower students with a diversity of cultures to understand the material presented by the lecturer. This paper concludes that curricula planning should allow students to be given space to grow and interact and ultimately attain deep life-long learning.
Adaptation of the Engineering Curriculum in the Age of Industry 4.0
Authors: Reddy Serendra 
Published: May 2020

Abstract
With the rapid proliferation of Industry 4.0 across the globe there is an immediate need for institutes of higher learning to adapt their curriculums, especially in the fields of engineering and IT, in order to ensure relevance to both industry and society. Industry 4.0 is synonymous with cyber-physical systems, AI and the internet of things and requires a knowledgeable workforce that are both inter- and multi-disciplinary skilled. This paper proposes a framework for a three- or four-year electronic engineering degree that aligns itself with the needs of Industry 4.0. The framework is comprised of three core pillars and provides a roadmap for the adaptations required in the curriculum, practical work and competency components of the qualification. In addition to knowledge attributes we also discuss the notion of graduate attributes as well the assessment of these outcomes. A three-year bachelor’s degree in electronic engineering that applies this framework is currently being offered at the Durban University of Technology, South Africa.
Entrepreneurial Learning and AI Literacy to Support Digital Entrepreneurship
Authors: Hamburg Ileana , O’brien Emma , Vladut Gabriel 
Published: May 2020

Abstract
The formation of the entrepreneur as a person for digital transformation is important and considered, in a large part, to be due to learning. Entrepreneurship is “a process of new value creation” and digital entrepreneurship is understood as “a subcategory of entrepreneurship in which some or all of what would be physical in a traditional organization has been digitized”. The integration of artificial intelligence - AI into business world can automatize some tasks and make entrepreneurs more “creative” and fulfilled, which would obviously benefit the companies that they work for.” Entrepreneurial learning is a basis for education of entrepreneurs and should supports digital entrepreneurship within the process of designing, lunching and running a new business within digital transformation. It should include AI courses in the learning and teaching process to achieve AI Literacy competence.
The first part of the paper includes results of literature review and of interviews that the author has done with entrepreneurs within some European projects about different forms of entrepreneurship, particularly digital entrepreneurship and the use of AI. A review of literature about entrepreneurial learning and basis components, which characterizes it, is given in the next part including also experience of the author in teaching and training entrepreneurs
The last part of the paper presents some new approaches within education by using entrepreneurial learning including AI Literacy oriented to digital workplaces and digital entrepreneurship. Developments within European projects with the participation of the authors are also given.
Investigation on the Possibility of Designing an Educational Dynamic Light Scattering Device for Sizing Particles Suspended in Air
Authors: Chicea Dan , Leca Cristian 
Published: May 2020

Abstract
If a light beam meets a fluid that contains scattering centers randomly distributed in suspension, light is scattered by each of them. If the light source is coherent, the scattered waves will be also coherent, therefore they will interfere. The fluctuations of the far-field interference signal, once recorded and digitized, become a time series that can be later on analyzed to produce the average size of the suspended particles or the size distribution. The technique wears the name of Dynamic Light Scattering. We present the results of our investigation on the possibility of using an educational model, made of low-cost, conventional electronics, for recording the time signal of light scattered by particles suspended in the air as the carrier fluid. The device can be used in measuring the particle size in exhaust gases of conventional power plants or automobile engines.
Employability of New Immigrants’ Youth Studying in Technical Program in Taiwan
Authors: Chao Chih Yang , Lin Yong Shun , Chang Alvin , Chang Jocelyn 
Published: May 2020

Abstract
The purpose of the study is to understand the employability of new immigrants’ youth studying in technical program in Taiwan. A national survey was conducted to explore the employability of new immigrants’ youth from the perspectives of teachers and students. A total of 1,500 questionnaires were distributed to students and 1,171 questionnaires were retrieved. Valid questionnaires totaled 1,098 and accounted for 73.20%; a total of 750 questionnaires were distributed to teachers and 544 questionnaires were retrieved. Valid questionnaires totaled 524 and accounted for 69.87%. The study found that new immigrants’ youth performed best in emotion control ability, followed by personal management ability; new immigrants’ youth performed worst in basic listening, speaking, reading and writing skills, followed by native language proficiency.
Neural Networks in the Educational Sector: Challenges and Opportunities
Authors: Fiore Ugo 
Published: May 2020

Abstract
Given their increasing diffusion, deep learning networks have long been considered an important subject on which teaching efforts should be concentrated, to support a fast and effective training. In addition to that role, the availability of rich data coming from several sources underlines the potential of neural networks used as an analysis tool to identify critical aspects, plan upgrades and adjustments, and ultimately improve learning experience. Analysis and forecasting methods have been widely used in this context, allowing policy makers, managers and educators to make informed decisions. The capabilities of recurring neural networks—in particular Long Short-Term Memory networks—in the analysis of natural language have led to their use in measuring the similarity of educational materials. Massive Online Open Courses provide a rich variety of data about the learning behaviors of online learners. The analysis of learning paths provides insights related to the optimization of learning processes, as well as the prediction of outcomes and performance. Another active area of research concerns the recommendation of suitable personalized, adaptive, learning paths, based on varying sources, including even the tracing of eye-path movements. In this way, the transition from passive learning to active learning can be achieved. Challenges and opportunities in the application of neural networks in the educational sector are presented.
The Spatial and Temporal Properties of eLearning: an Exploratory Study Regarding the Students’ Perspective
Authors: Caramihai Mihai , Severin Irina 
Published: May 2020

Abstract
The paper aims to analyze and comment the current eLearning environments considering the space and time characteristics in order to better understanding of certain antecedents’ factors for eLearning system acceptance and effective use by students. The current paper illustrated the eLearning platforms – from the differences between online and traditional face to face learning to the spatial thinking and learning process – using as a case study the minds of students from a technical University of Romania.
Simulation-Based Learning, an Essential Tool for Control Process in Food Engineering Education
Authors: Şipoş Anca , Păcală Mariana Liliana 
Published: May 2020

Abstract
Simulation-based learning has become an essential tool for food engineers in education and industry. The students from food engineering higher education usually have difficulties to understand abstract concepts of the process control, to make links among microbiology, biochemistry and automation of the technological process from food industry. The present paper describes a methodology for teaching the process control by developing a control level process using simulation-based learning. The used of this metode highlighted that the students developed competence toward “thinking like a scientist”, developed argumentation and critical decision-making skills and reinforced research-planning and experimental design skills.