Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF USING DIFFERENT LEVELS OF SPIRULINA ALGAE (SPIRULINA PLATENSIS) IN DIET ON PRODUCTIVE PERFORMANCE AND CHARACTERISTICS OF THE CARCASS OF BROILER

This study was conducted at the Poultry Research Station of the Agricultural Research Department, Ministry of Agriculture in Abu Gharib, for the period from 25/2/2019 to 7/4/2019 (42 days) with the aim of using several levels of Spirulina platensis algae (SP) in broiler diets and its effect on productive performance and some physiological characteristics and their effect on the immune response. The microbial status of the gut, the specific characteristics of broiler carcass and the oxidation state of stored meat for 60 days by measuring the oxidation indicators of the meat. In this experiment, 400 broiler chicks, one day old, of broiler chickens (Ross 308), were not unsexed, with an average starting weight of 40 g / chick. The chicks were fed on the feed of the starter 1-14 days from the age of the birds, the growth diet (Grower) 14-28 days from the age of the birds and on the final diet (Finisher) 28-42 days from the age of the birds. The chicks were randomly distributed to five treatments by four replicates per treatment (20 birds / replicates). The treatments included the following: The first treatment (T1) is control coefficient (the main diet without additives) and the second treatment (T2) was used in the main diet algae SP by 1% and the third treatment (T3) was used in the diet algae SP algae at 2% and the fourth treatment (T4) was used in the diet algae SP by 3% and the fifth treatment (T5) was used in the diet SP algae by 4%. The results of the experiment showed a significant improvement (P<0.05) in body weight rates for all treatments using spirulina algae (T2, T3, T4, T5) and the weight increase of T2, T3, T4 treatments and feed consumed for T3 and T5 treatments as well as improved feed Conversion factor and Index Productivity and Economic index of experimental treatments (T2, T3, T4, and T5) compared to the control coefficients. The use of spirulina T2, T3, T4 and T5 showed significant superiority (P<0.05) compared to the control group in the Dressing percent, relative weight of the chest segment, and there is no significance differences in the relative weight of the thigh and the drumstick for all trial treatments. The T3 and T4 treatments showed significant difference in the characteristic of relative liver weight and the absence of significant differences (P<0.05) in the relative weight of the heart and abdominal fat.
Recycling of Fibre Materials

Fibres are used for a large variety of applications. Textiles, nonwovens as well as fibre reinforced composite materials are commonly used in daily life and in technical applications. The annual world fibre market amounts to about 60 million t including natural and man-made fibres. Due to increased ecological awareness and more severe legislations disposal of waste is increasingly avoided through the use of recycling technologies. This development also takes place in the field of fibre materials. However, proper processes for fibre recycling are not yet fully developed. Commonly end-of-life fibres are supplied for energetic utilization. This method is not favourable since the energy generated from burning is much lower than the energy required for fibre manufacturing. The paper presents the state-of-theart in recycling fibres. Available technologies for textiles, carpets, composites and end-oflife vehicles are reviewed. However, these technologies do not offer satisfying solutions in terms of economic and ecologic demands. Within this study product recycling of fibres obtained from tyres is investigated. It is demonstrated that fibres recycled from waste tyres can be converted from waste to a valuable raw material if processed properly. Characterization possibilities for recycled fibres are also presented. It is demonstrated that most methods cannot provide feasible results. In the course of this research project a system based on optical image processing has been adopted for the characterization of recycled fibres. Characterization is necessary for product and quality control. Lastly, an adequate application for the recycled fibre materials is evaluated in this study. By addition of fibres gained from waste tyres an improvement of bitumen properties was found. An economic benefit can be expected since recycled fibres can substitute expensive state-of-the-art solutions.
Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression

The envelope model allows efficient estimation in multivariate linear regression. In this paper, we propose the sparse envelope model, which is motivated by applications where some response variables are invariant with respect to changes of the predictors and have zero regression coefficients. The envelope estimator is consistent but not sparse, and in many situations it is important to identify the response variables for which the regression coefficients are zero. The sparse envelope model performs variable selection on the responses and preserves the efficiency gains offered by the envelope model. Response variable selection arises naturally in many applications, but has not been studied as thoroughly as predictor variable selection. In this paper, we discuss response variable selection in both the standard multivariate linear regression and the envelope contexts. In response variable selection, even if a response has zero coefficients, it should still be retained to improve the estimation efficiency of the nonzero coefficients. This is different from the practice in predictor variable selection. We establish consistency and the oracle property and obtain the asymptotic distribution of the sparse envelope estimator.
Differential Equations in Modelling Motion of Dislocations†

Most of the technologically important materials are crystals, where atoms are arranged in a periodic lattice of a defined symmetry (cubic, hexagonal, orthorhombic, etc.). It is known that a plastic deformation of body-centred cubic metals is governed by the thermally activated motion of screw dislocations. Dislocations are line defects in crystals, that are caused by the finite rate of solidification because the atoms do not have sufficient time to take perfect lattice positions. Each dislocation is characterized by the so-called Burgers vector b⃗ and the tangential vector u⃗. We distinguish two basic types of dislocation segments: edge segment (⃗b ⊥ u⃗) and screw segment (⃗b ∥ u⃗), see Figure 1.
From Knowledge Graphs to Knowledge Practices: On the Need for Transparency and Explainability in Enterprise Knowledge Graph Applications

Transparency and explainability are important concerns in building and implementing cognitive technologies, especially those intended to augment and transform domain knowledge practices. Knowledge graphs are powerful component technologies leveraged in a number of business applications, yet relevant information about their construction, re ﬁ nement, and maintenance are often not visible in resulting end-use applications. Information about a graph’s training set(s), for example, can be useful to understand how it may represent incomplete coverage of a domain area; information about the strength or con ﬁ dence of a given association, as another example, can also help signal the need for further action or investigation. In this position paper, we explore these issues and discuss an enterprise domain use case involving sales operations. Increasing transparency and explainability in knowledge graphs can help business users be tt er assess potential biases and appropriately integrate graph outputs into their workplace knowledge practices.
Self-Assembly of a Novel Organometallic−Inorganic Block Copolymer in Solution and the Solid State: Nonintrusive Observation of Novel Wormlike Poly(ferrocenyldimethylsilane)-b-Poly(dimethylsiloxane) Micelles

The novel organometallic−inorganic diblock copolymer, poly(ferrocenyldimethylsilane)-b-poly(dimethylsiloxane) (PFS-b-PDMS) (block ratio = 1.0:6.0) (Mn = 35 100 g/mol with a narrow molecular weight .
Adaptive Clustering-based Malicious Traffic Classification at the Network Edge

The rapid uptake of digital services and Internet of Things (IoT) technology gives rise to unprecedented numbers and diversification of cyber attacks, with which commonly-used rule-based Network Intrusion Detection Systems (NIDSs) are struggling to cope. Therefore, Artificial Intelligence (AI) is being exploited as second line of defense, since this methodology helps in extracting non-obvious patterns from network traffic and subsequently in detecting more confidently new types of threats. Cybersecurity is however an arms race and intelligent solutions face renewed challenges as attacks evolve while network traffic volumes surge. In this paper, we propose Adaptive Clustering-based Intrusion Detection (Acid), a novel approach to malicious traffic classification and a valid candidate for deployment at the network edge. Acid addresses the critical challenge of sensitivity to subtle changes in traffic features, which routinely leads to misclassification. We circumvent this problem by relying on low-dimensional embeddings learned with a lightweight neural model comprising multiple kernel networks that we introduce, which optimally separates samples of different classes. We empirically evaluate our approach with both synthetic and three intrusion detection datasets spanning 20 years, and demonstrate Acid consistently attains 100% accuracy and F1-score, and 0% false alarm rate, thereby significantly outperforming state-of-the-art clustering methods and NIDSs.
Review on: Its Potentials and Application of Potato Peel (Waste)

The increasing amount of food waste throughout the world is becoming a major problem for waste management plants. The food waste produced amounts to 1.3 million tons a year. This is a resource that could be used for production of new products. Bioeconomy is a method that can help achieve production of value-added products that use local resources and waste to manufacture products efficiently. This by-product causes environmental pollution due to decomposition. However, food byproducts like potato peel have essential organic matter. So this review introduces the potential use of potato peel as food preservative, pharmaceutical ingredient, renewable energy, and animal feed to promote ecofriendly food industries. In this review are looking at possibilities to use potatoes for production of new materials, such as bioplastics, antioxidants, proteins, instead of their conventional use for food production.
Entrepreneurial Intention Model: Empirical Results with Management Students in Serbia

Research Question: This paper analyses which elements influence the entrepreneurial intention in Serbian entrepreneurial practice. Motivation: With this research, we want to draw attention of the public, decision-makers and entrepreneurs to entrepreneurship as a huge potential for the nation’s long-term economic growth in Serbia. To enlarge the number of potential entrepreneurs and, therefore, the final number of entrepreneurs, a more detailed explanation of all the phases as well as the prediction of entrepreneurship is necessary. As far as the first phase is concerned, this research starts from the adoption of the theory of planned behaviour (Ajzen, 1991) and tests relative contributions of motivational antecedents to the entrepreneurial intention (EI). Mixed results from literature for model specifications, especially for the contribution of subjective norm (SN), lead to the general need for more empirical support. Idea: Considering findings that the influence of motivational antecedents on EI differs due to national cultures (Linan & Chen, 2009), we conducted the empirical investigation to test the model in the context of Serbian entrepreneurial practice. Data: Primary data were collected from 191 responses to the questionnaire distributed among the students of Master management studies and junior and senior students of undergraduate management studies at the Faculty of Management in the first semester of 2019/2020. Tools: To confirm the construct validity and to improve the quality of the measurement model and its application to new dataset, methods that validate the model were applied: Cronbach’s alpha, factor analysis, the Heterotrait–Monotrait ratio of correlations and the Fornell-Larcker criterion. To test the hypotheses, the structural equation modelling was used. Findings: The proposed EI model achieved statistically significant explanatory power of almost 50% of the variations in EI, due to personal attitude (PA) and perceived behaviour control (PBC). The study adds empirical evidence in the context of Serbian entrepreneurial practice about the role of SN as the antecedent of PA and PBC. Age, a role model and work experience showed statistically significant influence as control variables. Contribution: The study extends the literature by empirically testing Ajzen’s theory in the context of an emerging economy and offers an input for practical implementation of findings.
Fiscal decentralization and inclusive growth: A study focusing on income redistribution

The importance of inclusive growth, which includes both sustainable economic growth and the mitigation of class polarization, is being discussed in many countries. Notably, some studies have actively shown the relationship between fiscal decentralization and redistribution based on the decentralization theorem that fiscal decentralization affects the competitiveness of the economy and the performance of government. This paper empirically analyzed the effect of fiscal decentralization on inclusive growth focused on income redistribution by using linear regression with panel-corrected standard errors. The analysis showed that fiscal decentralization had a statistically significant impact on inclusive growth, particularly on redistribution indicators such as the Gini coefficient level and labor income share. As a result, fiscal decentralization, which transfers not only financial resources but decision-making authority to local governments, can contribute to reducing inequality by increasing the level of welfare for the people.
Cellulose Nanofibers as Carbon Source for Rechargeable Batteries

Carbon nanofibers have been studied as a promising electrode candidate for energy storage devices. However, expensive petroleum-based polyacrylonitrile (PAN) has been extensively used as carbon source in carbon fiber production. Here, cellulose acetate nanofibers were presented as low cost, environmentally friendly carbon source. Carbon nanofibers (CNFs) were produced by electrospinning of cellulose acetate followed by carbonization. In addition, TiO2 nanoparticles were incorporated in order to improve electrochemical performance of Li-ion and Naion cells. Electrospraying/electrospinning approach was utilized to fabricate nanocomposite electrodes. The cell containing TiO2/CNFs delivered the high specific capacities of 260 mAh/g and 150 mAh/g with high Coulombic efficiencies, respectively, in Li-ion and Na-ion batteries. These results prove that cellulose could be used as a cheap and green carbon source in rechargeable batteries and electrospraying/ electrospinning technique is a promising approach to develop nanostructured electrode materials with high capacity and good cycling performance.
EVALUATION OF THE EFFECT OF CAMEL MILK WITH OR WITHOUT THE AQUEOUS EXTRACT OF THE PEGANUM HARMALA PLANT IN THE TREATMENT OF ENTAMOEBA HISTOLYTICA

Camel milk contains antibacterial and viral properties. These properties may be attributed to certain substances such as proteins, fats and vitamins. The current study aimed An attempt to use camel milk with or without the aqueous extract of the plant Peganum harmala in the treatment of Entamoeba histolytica. Thirty Mus musculus mice of the Balb/c strain were divided into five groups each group consists of six mice. The first group was given of which 0.2 ml of the physiological solution was administered (negative control). The second groups were injected with Entamoeba histolytica with a concentration of 5×10 parasite/ml. The next day treated with 0.2 ml of the physiological solution for one week and Considered positive control. The third group also injected with Entamoeba histolytica with a concentration of 5×10 parasite / ml then treated with 0.2 ml of the aqueous extract of the plant and 0.1 mg/kg for one week. The fourth group treated with 0.2 ml of camel milk for one week after being injected with Entamoeba histolytica with a concentration of 5×10 parasite/ml. The fifth group also injected with Entamoeba histolytica with a concentration of 5×10 parasite/ml. and then treated with 0. 2 ml of camel milk with 0.2 of the aqueous extract of the plant. The results showed that the fifth group showed a significant decrease in E. histolytica infection. Infection rate was 11.1%. The third and fourth groups decreased the infection rate to 61.1% and 50% respectively when compared to the control group.
Determination of interfacial stress during thermal oxidation of silicon

We develop a theoretical model to obtain the stress in oxide films occurring during thermal oxidation of silicon. The model results in a prediction of 4.5×109 dyn/cm2 for the interfacial stress, in excellent agreement with laboratory measurements. Moreover, we establish generally that the interfacial stress is proportional to 1−γ, where γ is the molar volume ratio of reactant to product. For silicon oxidation, γ=4/9, and the resulting stress is compressive.
Exploring the credibility and self-presentation of Insta micro-celebrities in influencing the purchasing decisions of Bangladeshi users

Social media has and continues to provide ordinary people ubiquitous access to influence others and in the process, achieve online celebrity status. Not surprisingly, micro-celebrities on digital media have become the new promotional tool for product endorsements. Companies too are increasingly shifting from traditional celebrity endorsers to famous online influencers. However, concerns regarding the self-presentation and credibility of these insta-celebrities remain. This study combines the theoretical framework of the self-representation theory related to Goffman and Ohanian’s source credibility model which comprises the three facets of attractiveness, trustworthiness and expertise leading to purchase intention. This research attempts to examine the connections between online presentation and source credibility of micro-celebrities on Instagram to develop a modified source credibility model in the context of current digital media. Interpretive paradigm via in-depth interviews with 46 active Bangladeshi Instagram users were used to explore the dimensions of source credibility and self-presentations of micro-celebrities that influence the purchase decision of the users. The findings show that credibility can be achieved among the followers if the micro-celebrities follow certain criteria in terms of online behaviour presented in the modified framework of source credibility.
Graph Drawing Approaches for Petri Net Models

This work presents a theoretical perspective how to apply graph drawing approaches to Petri Net models. Section 1 is the introduction to the problem. Section 2 is the background and the motivation. This part explains why graph drawing approaches are useful for Petri net modelling. Section 3 is the problem definition. This part explains the main problem. Section 4 defines the proposed solutions and examples are given. Section 5 discusses results, findings and assumptions. Section 6 gives some conclusions.
Fostering Economic Growth in Frontier Markets: Perceptions in The Tunisian Post-Arab Spring

The need for economic reform is at the heart of the criticism for many frontier economies. Fostering entrepreneurship and identifying business opportunities generate paths for job creation and economic growth. Given the underlying tensions that led to the Arab Spring, our study focuses on the one country that is considered to be a post-Arab Spring success story and explores the Small-Medium Enterprise (SME) business environment in Tunisia. Perceived changes in the SME environment in Tunisia were examined qualitatively via in-depth personal interviews with 21 Tunisian economic experts. Analysis of the interview data followed the thematic analysis approach. Our findings indicate that social reforms and the development of financing alternatives should be paramount for the growth of SMEs and the economic success of frontier markets. Additionally, educational reform and communication to foster entrepreneurial behaviour and effective managerial practices are required to ensure that current and future generations are prepared to engage successfully in the formal economy. Although our research focused on a single frontier market economy, we believe these findings are generalizable to many emerging economies. The findings should hold considerable policy implications due to the nature of the reforms suggested. There are popular and business press articles about the post-Arab Spring and stories about Tunisia’s Jasmine Revolution; however, increased scholarly focus on entrepreneurial efforts post-Arab Spring in Tunisia will further solidify the intersection of economic gain and human development.
Zebrafish Heart as a Model to Elucidate the Mechanisms of Sudden Cardiac Death

The heart of zebrafish has been used as a simple, low-cost model to study development, structure and function of the heart from early to late stages of life. Also, it has been established as a model to study different cardiac pathologies generated through different methods. Cardiac pathologies include from functional disorders such as arrhythmia, to structural disorders such as hypertrophic heart disease; in many of them, genetic and molecular aspects have been associated. Noteworthy, some of these genetic and molecular factors have been invoked as causes of sudden cardiac death in humans. This adverse outcome is common in many cardiovascular pathologies and can occur at any age. Unfortunately, etiology and physiopathology of sudden cardiac death are unclear, so extensive research in this area is required. This mini-review highlight three related points: First, the relevance of sudden cardiac death in humans. Second, advances in knowledge of the development, function and pathologies in the zebrafish heart model. Finally, the possibility of using the zebrafish model for the study of sudden cardiac. For this review, a literature search was performed using the PubMed database and the search engine Google Scholar: the words sudden cardiac death, zebrafish, arrhythmias, cardiomyopathies were combined for this search.
KnowledgeZooClient: Constructing Knowledge Graph for Android

In this work, we describe the design and implementation of a reusable tool named KnowledgeZooClient targeting the construction, as a crowd-sourced effort, of a knowledge graph for Android apps. KnowledgeZooClient is made up of two modules: (1) the Metadata Extraction Module (MEM), which aims at extracting metadata from Android apps and (2) the Metadata Integration Module (MIM) for importing and integrating extracted metadata into a graph database. The usefulness of KnowledgeZooClient is demonstrated via an exclusive knowledge graph called KnowledgeZoo, which contains information on over 500,000 apps already and still keeps growing. Interested users can already benefit from KnowledgeZoo by writing advanced search queries so as to collect targeted app samples.