Miracle-dz/UniFAR-FTUs huggingface dataset:
Biosorption of cobalt (II) by Intact and Chemically Modified Brown Algae: Optimization Using Response Surface Methodology and Equilibrium, Dynamics and Thermodynamics Studies

By using response surface methodology, Batch shaking biosorption of cobalt (II) experiments were conducted in order to examine the combined effects of operating parameters. The results indicate that magnesium nitrate performed as an effective biosorbent surface modifier, which increases the rate of adsorption capacity. At optimal conditions (initial pH 7.0, temperature 45◦C, biosorbent concentration 0.1 g/100ml, and initial cobalt concentration 300mg/l for Mg-treated biomass) the biosorption capacity of the algae for cobalt was found to be 80.55 mg/g. The Langmuir and Freundlich isotherms were applied to the equilibrium data. The results are best fitted by the Freundlich model. Evaluation of the experimental data in terms of biosorption dynamics showed that the biosorption of cobalt (II) onto algal biomass followed the pseudo-second-order dynamics well. Using the thermodynamic equilibrium coefficients obtained at different temperatures, the thermodynamic parameters (ΔG◦, ΔH◦ and ΔS◦) were also evaluated.
Prototype Test Results of MAPNA Heavy-Duty Gas Turbine Upgrade MGT- 70(3)

MGT-70(3) gas turbine is the recent upgraded version of MGT-70 gas turbine family introduced by MAPNA Turbine Engineering & Manufacturing Co. (TUGA). Due to the vast upgrade regards to its predecessor engine, MGT-70(3) required to be tested extensively in order to examine the functionality of the engine as well as verification of the CFD calculations. Therefore, a detailed component test designed and implemented. A set of large number of sensors, both in quantity and type, utilized in almost all stages of turbine, compressor and combustion chamber. Testing both the static and dynamic behaviour of the engine was favourable. Thermocouples and pressure sensors have been used for static measurements while 5-Hole Probes and strain gauges for dynamic behaviors. A BTT/BTC measuring system is also installed on some stages for BTT/BTC measurements. The results demonstrated that all performance targets have been met and even exceeded in some indexes. NOMENCLATURE BTT Blade Tip Timing BTC Blade Tip Clearance CFD Computational Fluid Dynamics TIT Turbine Inlet Temperature INTRODUCTION MGT-70(3) gas turbine is the last upgrade version of MGT-70 gas turbine family introduced by MAPNA Turbine Engineering & Manufacturing Co. (TUGA) on 2017. The main improvements implemented on this newly upgraded machine include:  Profile optimization of IGV as well as the blades and vanes of the first four stages of the compressor leading to 4% increase in the compressor air mass flow rate, enhanced compression ratio and thereby isentropic efficiency of the compressor,  Re-design of journal-thrust bearing component at the compressor side, increasing mechanical strength of the machine,  Re-design of turbine blades and vanes at all four stages as well as using advanced materials and improved coatings leading to higher power output and efficiency of the gas turbine Obviously, experimental tests were needed to assess the overall performance of the newly upgraded MGT-70(3) gas turbine to guarantee the improvements in the design parameters were achieved and also to introduce careful adjustments to design models, if necessary. So, due to the nature and multiplicity of changes introduced, substantial in some cases, it was necessary to not rely just upon the ordinary performance tests occasionally carried out and focusing generally on the overall inputs and outputs. Instead, it was decided to perform extensive measurements on the parameters inside MGT-70(3) gas turbine prototype. Therefore, an extensive testing project was also defined and finely pursued along with the design project itself. Such experimental data are capable to verify the claimed design improvements or reject them altogether. The test project was decided to be implemented along with an
A REVIEW OF EUROPE’S TRANSITION FROM FOSSIL FUELS TO RENEWABLE ENERGY USING CIRCULAR ECONOMY PRINCIPLES

More and more public and private organizations are trying to integrate the concept of circular economy into their daily operations. Given the existing pressures related to climate change, there are various debates in the literature on how to reduce the impact, and one of these debates is the use of renewable energy to the detriment of fossil fuels. This paper aims to create an image of the link between circular economy and the transition from fossil fuels to renewable energy through specialized papers published between 2000 and 2020 and through statistics published by International Agencies such as Eurostat. In this way, this paper is based on the study and analysis of the updated databases regarding the mentioned indicators. Moreover, the paper also discusses different possibilities of circular economy use and how they can be integrated into the European body, with a positive effect on the society and environment. The study found that European Union energy supply is increasingly based on renewable resources, the use of fossil fuels being limited from one year to another. At the same time, even if in the last decades the European Union has been characterized by industrialization and urbanization, there can be seen a growing efficiency of the energy system in the conditions in which the GDP per capita had a fulminant growth of over 50%. Moving forward, one of the most interesting result of the paper is related to a massive concentration of works in the last two years of the period considered in the analysis. In other words, there is a great opportunity for more scientific research in the field. Despite this, researchers agree that the principles of the circular economy contribute to the conversion of the energy system, with positive effects on society, ensuring sustainability, productivity and efficient waste management. At the end, in order to support the energy transition, a number of institutions such as the European Investment Bank are supporting initiatives that aim to invest in objectives such as new technologies which could adopt circular economy. The paper also presents possible limits of the research, but also future directions of its development.
Frequency-Modulated Multiple-Tone Distortion Product Otoacoustic Emissions in Young Children with Normal Hearing

Distortion-product otoacoustic emissions (DPOAEs) are objective tests of the integrity of the outer hair cells of the cochlea in response to a single-tone pair stimulus. Despite advances in DPOAEs test protocols and technology, there is little research about the use of frequency modulated tones to improve response characteristics. This study evaluates the efficacy of a new frequency modulated stimulus with multiple-tone pair DPOAEs (mDPOAEs) compared to the standard stimulus protocol for mDPOAEs to determine whether frequency modulation (FM) will achieve more robust and faster results. Normative data for this novel test protocol were obtained in 11 healthy normal-hearing children aged 3-6. Amplitude, signal-to-noise ratio, and testing time of mDPOAEs with and without FM were measured and compared. Results of repeatedmeasures ANOVA indicate that mDPOAEs frequency modulated responses show no significant differences in amplitude or testing time from standard mDPOAEs without FM. The mean signalto-noise response (SNR) of mDPOAEs without FM is greater than the SNR of mDPOAEs with FM. However, results suggest that mDPOAEs with FM are less variable overall than standard mDPOAEs, which indicates that mDPOAE responses obtained with FM may be more reliable than standard mDPOAEs. This suggests that FM may reduce the influence of DPOAE fine structure variations on the detection of the presence of a DPOAE response, which may be beneficial in a clinical setting. Findings are affected by the small number of participants because of halting data collection due to COVID-19; more research is necessary to evaluate the application of frequency modulated mDPOAEs in children.
4.6 Medizinische Perspektiven der Stammzellforschung

4.6. 4 Transdifferenzierung somatischer Stammzellen . 692 4.6. 5 Embryonale Stammzellen: Eine universelle Spenderquelle für den Zellersatz . 693 4.6. 5.1 Einführung . 693 4.6. 5.2 Herausforderungen der ES-Zell-Technologie 694 4.6. 5.3 Gewinnung und Transplantation ES-Zell-abgeleiteter somatischer Zellpopulationen . 695 4.6. 5.4 Humane ES-Zellen . 700
Methanolic extract of Moringa oleifera leaves mediates anticancer activities through inhibiting NF-κB and enhancing ROS in Ehrlich ascites carcinoma cells in mice

Cancer is one of the vital causes of morbidity and mortality worldwide and recognized as the second most leading cause of death. Considering the side effects and high cost of synthetic anticancer drugs, plant might act as a source of novel anticancer agents with better host safety. In this investigation, Moringa oleifera leaves methanolic extract (MOLME) was subjected to evaluate its antiproliferative effect with molecular mechanism in Ehrlich ascites carcinoma (EAC) cells in Swiss albino mice. MOLME inhibited EAC cell growth approximately 64% at the dose of 200mg/kg body weight. DAPI stained cells had shown nuclear condensation and fragmentation in treated cells. Upregulation of pro-apoptotic gene, Bax and tumor suppressor gene, p53; and down-regulation of anti-apoptotic gene Bcl-2 confirm the induction of EAC cells followed by MOLME treatment. Moreover, MOLME inhibited NF-κB activity and enhanced ROS generation. Results suggest that the anticancer effect of MOLME is associated with the induction of apoptosis through activation of p53 and reciprocal expression of Bax and Bcl-2. The apoptosis might be triggered by the inactivation of NF-κB and generation of ROS. GC-MS analysis revealed that MOLME contains several bioactive compounds, thus it is assumed that the anticancer properties could be attributed by the active leads and could be potential resource of chemotherapeutics.
TRES: An R Package for Tensor Regression and Envelope Algorithms

Recently, there has been a growing interest in tensor data analysis, where tensor regression is the cornerstone of statistical modeling for tensor data. The R package TRES provides the standard least squares estimators and the more eﬃcient envelope estimators for the tensor response regression (TRR) and the tensor predictor regression (TPR) models. Envelope methodology provides a relatively new class of dimension reduction techniques that jointly models the regression mean and covariance parameters. Three types of widely applicable envelope estimation algorithms are implemented and applied to both TRR and TPR models.
Lifetime Studies on Magnesium Rydberg Atom

Rydberg atoms are a suitable candidate for realising qubits owing to their long lifetimes and coherent optical control near autoionisation states thanks to their strong atomic polarisability [1]. My work during the course of this internship involved designing a detection chamber to study autoionisation channel in a Magnesium atom in order to obtain the angular momentum profile and working towards obtaining the lifetime values by numerically integrating the radial Schrödinger equation using python. I used a model potential (namely the Klapisch potential [2]) and optimised its internal parameters for solving the Schrodinger equation. The results and roadblocks encountered in the implementation of the optimisation scheme constitute most of my findings and are therefore discussed in detail in this report.
REMOVAL OF CO2 FROM GAS STREAMS IN AIRLIFT REACTORS

Emissions of carbon dioxide (CO2) and other greenhouse gases have become a major environmental issue due to their intensive contribution on the global warming. In the last decades the removal of CO2 from gas mixtures has become an important industrial operation due to the necessity of different gases purification and from recovery reasons taking into accounts the large applications of CO2 in chemical and food industry. Various techniques have applied for CO2 removal. These technologies are based on different physical, chemical or biological processes. In addition several types of contactors have been reported for CO2 removal such as stirred tanks, packed columns, bubble columns and membrane contactors. This paper discusses the most recent application of airlift reactors in flue gas treatment, in particular the potential of application for the effective CO2 removal from contaminated flue gases taking into account the most important advantages of these devices: simple design and construction, no moving parts, high mass and heat transfer, intensive mixing, low shear stress to cells, low energy consumption, low operational costs. The most relevant characteristics and properties of CO2 as well as the most applied technologies for CO2 removal are reviewed in this paper, based on the information from literature data.
One CFG-Generator to Rule Them All

This paper introduces two independent yet synergistic contributions related to control-flow graphs in programming tools. Our first contribution is a language-modular design for the construction of CFG generators. In this paper, we use this technique to build a complete CFG-generator for a small language with 17 distinct node types in only 19 lines of language-specific code. Our full implementation creates complete control-flow graphs for 5 industrial languages in only 1100 SLOC (averaging 122 language-specific SLOC), compared to 2400 for combined competitors. Our second contribution is a new program transformation primitive, CFG-based insertion, which provides the operation “insert statement S such that it always executes before expression E. " This operation makes it possible to build 1-line program transformations that handle special cases across multiple languages. Both contributions have been implemented in Haskell in the Cubix framework, with support for C, Java, JavaScript, Lua, and Python. Together, the two contributions of this paper make it substantially easier to build high-fidelity CFG generators for many languages and use them in language-parametric program transformations.
Comparison between Hysteroscopy and Sonohysterography in the Assessment of Abnormal Uterine Cavity

Background: The root causes of infertility in about 15percent of infertile women are intrauterine pathologies. Several uterine defects, such as septum intrauterine adhesions, endometrial polyps or submucous myomas, may interfere with implantation and cause spontaneous abortion. The uterine cavity can be assessed by using variable diagnostic methods, such as hysterosalpingography, transvaginal ultrasound, sonohysterography and hysteroscopy. Objective:Our research aims at assessing the significance of the sonohysterography in vaginal hysteroscopic correlation in the assessment of uterine cavity disease. Methods:In 48 women suspected of having intrauterine abnormality, this prospective crosssectional analysis was carried out. Between days 7 and 10 of the menstrual cycle, sonohysterography was done. In the mid proliferative phase of the menstrual cycle for premenopausal women ,hysteroscopy was done. Histopathology was our gold standard reference. Results:The results of sonohysterography and hysteroscopy have been compared with histopathology. We have seen 26.7% of cases with a normal sonohysterography, and 73.3% with an irregular endometrial polyp 30.3%, increased endometrial thickness 30.3%, submucous leiomyoma 24.3% and intra-uterine septum 15.1%, while hysteroscopic findings showed 13.3 percent of cases as normal and 86.7% had abnormal finding in form of endometrial polyp 26.7%, increased endometrial thickness 17.8%, submucous leiomyoma 20.0%,intra-uterine adhesion 13.3% and intra-uterine septum 8.9%. Conclusion:Assessment of the uterine cavity abnormalities could be examined via sonohysterography which is a very important technique; since, it can be provided as a first-line diagnostic modality for uterine abnormality assessment; considering its cost issue,use of hysteroscopy is more discomfort to women.
The Influence of Entrepreneurial Leadership on Business Performance with Innovative Human Resource Practices Mediation on Creative Economy Entrepreneurs in Malang Raya

A leader who has an entrepreneurial spirit will have implications for the progress of his business. This study aims to analyse and explain the influence of entrepreneurial leadership on business performance by mediating innovative human resource practices. This research was conducted on the creative economy actors in Malang Raya using a sample of 137 entrepreneurs. The sampling technique used in the study was convenience sampling. The analysis used SEM-PLS analysis. Based on the research results, it was found that entrepreneurial leadership had a positive and significant effect on Business Performance and Innovative Human Resource Practices, but what was interesting was that Innovative Human Resource Practices had an insignificant effect on Business Performance, and Innovative Human Resource Practices did not mediate the influence of Entrepreneurial Leadership on Business Performance.
THE INFLUENCE OF CORPORATE GOVERNANCE ON FIRM VALUE: EVIDENCE FROM QUOTED NIGERIAN PETROLEUM COMPANIES ABU, NORUWA IKPONMWOSA Department of Finance University of Lagos Lagos Nigeria

In this study, we investigated the relationship between corporate governance and firm value of Nigeria quoted petroleum companies. This study used seven quoted petroleum companies in Nigeria that have consistently published their audited annual financial reports between 2008 to 2013 and to ensure adequate observation for statistical testing, we adopted a panel multiple regression analysis to identify how the possible firm’s specific corporate governance attributes influence firms value in the selected Nigerian quoted petroleum companies. To this end, we conducted descriptive statistics, correlation matrix and panel regression analysis. In drawing our conclusion we used the random effect panel regression based on the hausman test, we observed that Directors shareholding had an insignificant and negative influence on the value of quoted petroleum companies in Nigeria. Board Size was had a positive and significant influence on the value of petroleum listed companies in Nigeria. In the case of Board gender, we discovered that large number of female in the board had a positive but insignificant impact on firm value of listed petroleum companies in Nigeria. Board Independence was also found to be positively impacting on firm value but its impact was statistically insignificant. We also observed that ownership concentration which a strong issue in corporate governance had a negative but insignificant influence on firm value of petroleum quoted companies in Nigeria. In the case of our control variables, The Log of total assets which proxies firm size had negative and significant impacts on firm value. This study therefore makes the following conclusions.
Genre Classification on Text-Internal Features: a Corpus Study

This paper is part of a greater study examining the features of the genre extracted from the text directly and suitable both for classification tasks and for adapting models of automatic morphological and syntactic tagging on data from various genres. The purpose of this work is to identify and describe the significant features of the genre, received from big data exclusively from the texts themselves (without the use of metadata, information about the author, date, literary style and method, etc.). Based on the selected features, it is explored how texts can be delimited according to one of the mostly used philological classifications with these features and the hypothesis whether with reliance solely on text-internal features texts can be grouped by genre quite successfully or not is being checked.
Evaluation of the Application of Genetic Algorithms to Relevance Feedback

: We evaluated the different genetic algorithms applied to relevance feedback that are to be found in the literature and which follow the vector space model (the most commonly used model in this type of application). They were compared with a traditional relevance feedback algorithm. the Ide dec-hi method -since this had given the best results in the study of Salton & Buckley (1990) on this subject. The experiment was perfonned on the Cranfield collection, and the different algorithms were evaluated using the residual collection method (one of the most suitable methods for evaluating relevance feedback techniques). The results varied greatly depending on the fitness function that was used, from no improvement in some of the genetic algorithms, to a more than 127% improvement with one algorithm, surpassing even the traditional Ide dec-hi method. One can therefore conclude that genetic algorithms show great promise as an aid to implementing a truly effective information retrieval system.
MP-BGAAD: Multi-Person Board Game Affect Analysis Dataset

—Board games are fertile grounds for the display of social signals, and they provide insights into psychological indicators. In this work, we introduce a new dataset collected from four-player board game sessions, recorded via multiple cameras. Recording four players at once provides a setting richer than dyadic interactions. Emotional moments are annotated for all game sessions. Additional data comes from personality and game experience questionnaires. We present a baseline for affect analysis and discuss some potential research questions for the analysis of social interactions and group dynamics during board games
Confident and "wrong"? Towards a mindful use of visuals in project portfolio

Portfolios exhibit a degree of complexity that easily exceeds the human ability to achieve optimal decisions through mere intuition. Making sense of this complexity involves a wise use of larger quantity of data. Visuals can help the analysis of more data through different perspectives. Yet, visuals can also aggravate the challenges involved in portfolio decisions. Inspired by Weick and Sufcliffe’s concept of mindfulness, we conducted an experiment with 204 participants to explore how to use visual mindfully in project portfolio context. The results suggest that use of purposeful and familiar visuals contributes to a more mindful engagement with visuals.
THE MIGRATION CRISIS: END OF EUROPEAN SOLIDARITY?

This thesis aims to answer the question why the EU has not agreed upon a multilateral crisis response regarding the distribution of incoming migrants across its Member States since the start of the Migration Crisis in 2015. Using the theoretical framework of Liberal Intergovernmentalism according to Andrew Moravcsik (1992, 1997, 1998) and the theoretical extension to crisis settings by Schimmelfennig (2018), Biermann et al. (2019) and Zaun (2018), this work employs a case study design to explain the unsuccessful attempts of the EU for joint crisis management in form of political reforms and burden-sharing. A qualitative content analysis was conducted using German newspaper articles from 2015 to 2018. In line with LI’s core assumptions, the institutional choice of the EU can be explained with national preference formation processes and intergovernmental bargaining dynamics although temporary disintegration and prevailing unilateralism greatly oppose the theory’s initial propositions. The applicability of LI to explain the EU’s institutional response to the Migration Crisis is reaffirmed while the influence of contextual factors is highlighted.