Miracle-dz/UniFAR-FTUs huggingface dataset:
Changes in phytochemical compounds and antioxidant potential of fresh, frozen, and processed figs (Ficus carica L.)

The aim of the present work was to evaluate some phytochemical compounds in fresh, frozen, and processed yellow-coloured figs (Ficus carica L.). The moisture content, ash, titrable acidity, total chlorophylls, total carotenoids, total phenols, total flavonoids, total anthocyanins, as well as carbohydrates (fructose, glucose, and sucrose) were evaluated. In addition, the antioxidant capacities of fresh, frozen, and processed figs (jam) were determined by DPPH and FRAP assays. The highest values of bioactive compounds and antioxidant activity were found in fresh fruits, while in frozen fruits their levels decreased significantly. The preparation of fig jam was a better approach for preserving some bioactive compounds, especially carotenoids and phenolic compounds. After four months of storage at -18°C, it was observed that there were significant losses in the antioxidant potential, decrease in sucrose content, as well as total phenols, total flavonoids, and total anthocyanins values. In spite of the reduction in some valuable compounds, jam processing retained good amount of them during storage in comparison with freezing storage.
Pro-trade effects of MENA immigrants in France: does governance matter?

This paper investigates the role of governance in explaining the effects of immigrants of ten MENA countries on fostering trade in France from 1995 to 2015. Based on a maximum likelihood Tobit and PPML estimators, our results reveal that immigration has a positive and significant effect on trade, with a higher impact for differentiated products. Therefore, trade and migration are complementary. Results also show, on the one hand, that governance strengthens the effects of immigrants on MENA exports to France, especially for reference priced and differentiated goods. On the other hand, it has no impact on MENA imports. We thank the anonymous reviewer and the editor for their helpful comments and Umair Shams for his careful reading of the paper. Citation: Albert Millogo and Ines Trojette, (2020) ''Pro-trade effects of MENA immigrants in France: does governance matter? '', Economics Bulletin, Volume 40, Issue 4, pages 3219-3230 Contact: Albert Millogo albertmillogo@yahoo.fr, Ines Trojette i.trojette@groupe-espi.fr. Submitted: July 11, 2019. Published: December 14, 2020.
Chelating-Agent-Enhanced Heavy Metal Extraction from a Contaminated Acidic Soil

An acidic soil was deliberately contaminated with lead (Pb), cadmium (Cd), and chromium (Cr). The heavy metal speciation in the aged soil sample was analyzed using a sequential extraction procedure. A single-step extraction procedure was then employed to remove the heavy metals from the soil using sodium ethylenediaminetetraacetic acid, sodium nitrilotriacetic acid, and calcium trisodium diethylenetriaminepentaacetic acid. The extraction parameters were the type and concentration of chelating agent and the duration of extraction time. All the extractions that involved chelating agents were carried out at pH 7.0. The heavy metal extraction efficiencies of chelating agents were compared to those of HNO\d3, CaCl\d2, and deionized water. The extraction results showed that the chelating agents were more efficient in extracting Pb and Cd from the acidic soil than HNO\d3. The extractable Pb and Cd were removed from the soil within 15 min of extraction time with the chelating agents. However, the chelating agents demonstrated a poor Cr extraction. The extraction efficiency seemed to be dependent on the heavy metal speciation in the solid phase. The extraction with a low chelating agent: metal molar ratio and short extraction time was proven to be optimal for Pb and Cd extractions. In contrast, an effective Cr extraction would require a high dosage of chelating agent and a long extraction time.
Social Science, Serving Bowls and the Question of Ethnicity: Deconstructing Material Culture Correlates of Ethnic Identification

v Introduction.2 Chapter I. Historical Archaeologists: “Scientists” or “Aimless Balladeers”? 4 Chapter H. The Promise of the “Social Scientific” Approach. 10 Chapter HL Ethnicity a la Carte.27 Chapter IV. Patterns Progress: Ethnicity, Patterns, Process and Problems.40 Chapter V. African-American Ethnicity: The Methodology of Essentialism Versus Context . 50 Chapter VI. Ethnicity, Economics and Where to Go Next.72 Bibliography. 78
Effect of Emotive Cognition Strategies on Enhancing Meaningful Learning among B.Ed. Student-Teachers

The meaningful learning process of an individual is understood separately with his emotional aspect or cognitive aspect. Cognition and emotions are interrelated, and hence in the learning process it requires functions of both the domains. Cognition can be a basis for emotion and the emotional process can have cognitive outcome. Therefore the aim of the study is to examine the effect of emotive cognition strategies on enhancing meaningful learning. The investigator has employed experimental research with a pre-test-post-test-control group design. The size of the sample of the study is 90 first year B.Ed. Student-teachers, 45 in the experimental group and 45 in the control group. The researcher has implemented emotive cognition strategies application in teaching to the experimental group for enhancing their meaningful learning. The data have been collected before and after the intervention through the administration of the toolsA Scale for Assessing the Application of Emotive Cognition Strategies in Teaching and A Scale on Measuring Meaningful Learning of the Learners. The data have been analyzed through statistical techniques. The descriptive analysis shows that there is a significant mean difference between pre-test and posttest scores of the experimental group in emotive cognition application and meaningful learning. The experimental group which had intervention scored higher in the post-test in their meaningful learning. In contrast, the control group had the traditional method of teaching received a low score in the post-test. Correlation analysis shows that there is a significant relationship between emotive cognition application and meaningful learning.
Effect of Auditor Quality, Good Corporate Governance and Organization Culture on Auditor Performance

:- This study aimed to investigate the effects of audit quality, good corporate governance and organization culture on auditor performance in Public Accounting Firms in Indonesia. Data were collected from 100 auditor in public accounting firms in East Java through a questionaire survey. Structural Equation Modelling is conducted to examine the relationships. The finding indicate that audit quality, good corporate governance positively influence on auditor performance. The results also indicate a positive relationship between organization culture and auditor performance. To increase the generalisability of this study, future research needs to collect data from a different set of population or country. This will help to expand on the database of the public accounting firm businesses.
Evaluation of Biological Inoculants against Leaf Blight of Asalio Caused by Alternaria alternata

Lepidium sativum L. is commonly known as Asalio and Chandrasur. It is belongs to the family brassicaceae, in english it is known as “Garden Cress’’. Its posses Seeds, leaves and roots are economically and medicinally important and it is mainly grown for seeds all over India. Asalio is under commercial cultivation in Madhya Pradesh having more than 25000 ha. Due to increase in demand the area under Chandrasur production is being increased year after year. The whole plant is used for secondary syphilis and tenesmus [15] anti-diarrheal and anti-spasmodic[16] hypoglycemic [7] laxative [23] anti-bacterial [4] antioxidant, contraceptive effects[24] and in inflammatory bowel disease [21]. Among them A. alternata causes severe leaf spot in the northern Indian plains. Alternaria leaf spot disease symptoms in L. sativum are characterized by the appearance of brown necrotic spots on the leaf margin. The necrosis spreads towards the midrib and as a result the leaf curls up and dries, affecting the herb yield. Host Selective Toxins (HST) function as essential determinants of pathogenicity or virulence; Alternaria producing the most important and well known HSTs [12].
Identifying Music Interventions to Support Students with ADHD in the Classroom

Educators across the country are struggling to effectively manage disruptive behaviors associated with students with Attention Deficit Hyperactivity Disorder (ADHD) while creating a productive learning environment. When classroom and music teachers work with special education teachers to understand the behaviors associated with ADHD and incorporate facets of music education and therapy proven beneficial to students with ADHD into their lesson plans, they should see a decrease in undesired behaviors as well as an increase in student engagement. The goal of this research is to determine how ADHD affects students’ learning and the classroom environment, examine studies which demonstrate the benefits of music in its various forms for those who experience symptoms of ADHD and/or related to the comorbidities associated with AHDH , and to provide music and classroom teachers tools they can use in their classrooms to support students with ADHD while effectively managing the classroom environment. A meta-analysis of recent research and data will be conducted in order to identify challenges existing for students with ADHD, their peers and their teachers, and the benefits of music in a variety of forms on ADHD and its comorbidities. Through careful examination of research on these topics, both needs and possible solutions will be identified which will provide the foundation for further research. Identifying Music Interventions to Support Students with ADHD in the Classroom Table of
Factors Influencing Households’ Choice for Higher Education Institution in Malaysia

Globalization has demanded for more competitive higher education institutions. Like other services sector , it is important that higher learning institutions understand the perceptions and expectations of head of households because they are the decision influencers for their children’ education. This paper examines households’ view on the important criteria’s in selecting higher education institutions. Personal interview with 4000 households from 11 states of Peninsular Malaysia were carried out. Data were analyzed using Factor Analysis. Based on comparison of means, rankings of variables influencing higher education institutions choice decision by important are as follows: financial aid, safety of the campus, academic reputation, university image and accommodation. Further, through factor analysis, three dimensions were revealed in explaining the decision criteria’s of Malaysian households, i.e., (1) personal factors, (2) socialization and (3) campus, program and cost.
IMAGE DISPENSATION TO CAPTURE THE USER INVESTIGATION ON INTENT SEARCH TECHNIQUE

The particular data search is identified from the images with the use of image search technique. In this observing and verifying the images for the purpose of a user may give some query terms related image such as keywords or passwords in the image files or click on the image finally the system will generates the similar image based results to the related query statements. The similarities are performed to identify the one process like Meta tags colour based generation images and region/shape images. Keywords are used for the queries to images to perform accurately with various industrial applications. The searching and identification applications like as (e.g. Bing Image Search and Google Image Search) primarily worked on surrounding text related description. It is not simple task for them to distinguish user’s search objective only by query keywords implementation algorithm and this generates to indecisive and noisy involved search results. It is essential to use visual graphic information in order to complete the uncertainty in text-based image repossession. In this suggested paper, we implemented a novel Internet image search process, The user requirements to select and click on one required query image with the minimum permissions and images from a pool collected the information by text-based search process and they are re-performed depended on both visual and textual content approachment procedures. To produce the users’ search intention from this one-click query image technique in four steps modulation process has been accessible in this paper.
Theoretical performance and structure optimization of 3.5–4.5 μm InGaSb/InGaAlSb multiple-quantum-well lasers

We present a comprehensive theoretical investigation to optimize 3.5–4.5 μm InGaSb/InGaAlSb quantum-well (QW) lasers grown on ternary InGaSb substrates. We use an eight-band k⋅P Hamiltonian to calculate the Auger recombination and optical absorption coefficients in the active region, as well as the gain and threshold characteristics. The dominant Auger process involves hole excitation from the QW to unbound valence states. For structure optimization we varied the Ga content in the substrate and QW barrier layers. The optimized structure was obtained by maximizing the strain in the QWs, despite the Auger coefficient also increasing with strain. It is, therefore, demonstrated that the main aim for midinfrared laser optimization can be minimization of the threshold carrier density rather than reduction of the Auger coefficient.
Role of High-Performance Work Systems in Employees’ Performance and Turnover Intentions in a Mediation Framework of Psychological Contract Breach

This study addresses the debate in the literature of strategic human resource management (SHRM) about the causality of highperformance work systems on employee outcomes, like performance and turnover intentions, and the potential dark side of high-performance work systems (HPWS). SHRM theories, including the resource-based view and social exchange theory, have explained the causality aspect but there appears to be lack of concrete empirical evidence. This study offers a more complex framework by investigating the role of HPWS in employees’ performance and turnover intentions with the mediation of a psychological contract breach (PCB). Data were collected via questionnaire using stratified sampling, and after developing the strata, simple random sampling was performed. Data were subsequently analysed in SPSS and AMOS. Findings of the study suggest that HPWS significantly predicted employees’ performance. There was significant negative relationship between HPWS and turnover intentions. Moreover, HPWS did not predict PCB as the relationship was insignificant. PCB had an insignificant relationship with employees’ performance. Moreover, PCB predicted significant negative relationship with turnover intentions. This study offers significant findings and suggestions for bankers and theorists regarding SHRM and HPWS.
In vitro Anticoagulant Effect of Grape Seed Extract (Vitis vinifera) on Human Normal Blood Sample

Background: Scientists have used herbs nowadays for curing many diseases because they are safer and to overcome the side effect of the chemical drugs. Grape is one of the ancient herbs that used for diseases of the heart and blood vessels, high blood pressure, high cholesterol, skin care and many other conditions. Grape seeds have significantly higher concentrations of polyphenols which has anticoagulant and antithrombotic effect. Materials and Methods: In this study 20 normal blood samples from healthy individuals with age range (19-38) years were enrolled in this study]. Prothrombin time (PT) and activated partial thromboplastin time (APTT) tests were performed before adding grape seed extraction (GSE) (as control) and after adding GSE with different concentrations (25%, 50% and 75%). Original Research Article Hassan et al.;EJMP, 31(16): 40-45, 2020; Article no.EJMP. 62535 41 Results: The results revealed that grape seed extract has an anticoagulant effect as proven by the increase of Prothrombin time and Activated partial thromboplastin time results of the blood samples in different concentrations of the extract. The GSE showed a high statistical significant (P= 0.000) in all concentrations of both PT and APTT tests. Conclusion: This study suggests that GSE has a strong anticoagulant effect; so it can potentially be used as a supplementary anticoagulant agent to prevent thrombosis and cardiovascular diseases.
TOWARDS OPTIMIZATION OF THE GATED RECURRENT UNIT (GRU) FOR REGRESSION MODELING

: Deep Machine Learning takes place by adjusting the weights of deep neural networks – brain-like computational structures in order to optimize a given cost function. There exists a deep learning task where every neural model typically performs better. This paper explores optimization strategies for the GRU neural network such as dropout, gradient clipping and stacking ensembles of neural layers amongst others. The Recurrent Neural Networks (RNNs) are suited for classification and prediction problems based on time-series data. It has proven a challenging task for an ordinary RNN to learn long sequences leading to the invention of two other variants: Long Short Term Memory (LSTM) and the Gated Recurrent Unit (GRU). Whereas both of these compare well on most learning tasks, the structure of a LSTM is more complex with three gates and in effect has to compute and keep the cell state (C t ). This makes GRU simpler to implement and typically converges faster making it more appropriate for online learning. The results of experiments indicate an improved convergence rate and better performance guarantees of the GRU over LSTM for typical regression tasks.
Competitor-oriented Objectives: The Myth of Market Share

Competitor-oriented objectives, such as market-share targets, are promoted by academics and are commonly used by firms. A 1996 review of the evidence, summarized in this paper, found that competitor-oriented objectives reduced profitability. We describe new evidence from 12 studies, one of which is introduced in this paper. The new evidence supports the conclusion that competitor-oriented objectives are harmful, especially when managers receive information about competitors’ market shares. The evidence appears to have had little effect on managers’ decisions and on what is taught in business schools. JEL Classification: L2, M21, M31
IoT-enabled Smart Monitoring and Optimization for Industry 4.0

: In the last decades, forward-looking companies have introduced Internet of Things (IoT) concepts in several industrial application scenarios, leading to the so-called Industrial IoT (IIoT) and, restricting to the manufacturing scenario, to Industry 4.0. Their ambition is to enhance, through proper ﬁeld data collection and analysis, the productivity of their facilities and the creation of real-time digital twins of diﬀerent industrial scenarios, aiming to signiﬁcantly improve industrial management and business processes. Moreover, since modern companies should be as “smart” as possible and should adapt themselves to the varying nature of the digital supply chains, they need diﬀerent mechanisms in order to (i) enhance the control of the production plant and (ii) comply with high-layer data analysis and fusion tools that can foster the most appropriate evolution of the company itself (thus lowering the risk of machine failures) by adopting a predictive approach. Focusing on the overall company management, in this chapter we present an example of a “renovation” process, based on: (i) digitization of the control quality process on multiple production lines, aiming at digitally collecting and processing information already available in the company environment; (ii) monitoring and optimization of the production planning activity through innovative approaches, aiming at extending the quantity of collected data and providing a new perspective of the overall current status of a factory; and (iii) a predictive maintenance approach, based on a set of heterogeneous analytical mechanisms to be applied to on-ﬁeld data collected in diﬀerent production lines, together with the integration of sensor-based data, toward a paradigm that can be denoted as Maintenance-as-a-Service (MaaS). In particular, these data are related to the operational status of production machines and the currently available warehouse supplies. Our overall goal is to show that IoT-based Industry 4.0 strategies allow to continuously collect heterogeneous Human-to-Things (H2T) and Machine-to-Machine (M2M) data
Nonlinear optical properties of quantum‐confined GaAs nanocrystals in Vycor glass

Quantum‐confined nanocrystallites of GaAs are fabricated in porous Vycor glass and the bound electronic nonlinear refractive index, the two‐photon absorption coefficient, and the refraction from carriers generated by two‐photon absorption are simultaneously determined using the Z‐scan method and compared to those of bulk GaAs. The measured nonlinear refractive index is an order of magnitude larger than that of bulk GaAs at 1060 nm.
Study on the Dual Gate IGZO TFT Circuits with Threshold Voltage Compensation Function

Amorphous InGaZnO4 (IGZO) thin film transistor (TFT) has drawn great attention because it has several merits such as high mobility, high transparency, low processing temperature, and potentially good uniformity. However, the threshold voltage (Vth) instability IGZO TFT can limits its applications in the circuits. Recently, the dual-gate IGZO TFT with two gates on the bottom and the top was proposed to have better device performance and better stability of Vth after voltage stress. The threshold voltage of the TFT using the bottom-gate in its normal operation can be controlled by the top-gate. Based on this phenomenon, a new concept of using the top-gate to compensate threshold voltage variation is proposed. In this thesis, this new concept of Vth compensation is demonstrated experimentally in digital buffer and pixel circuits of active-matrix organic light-emitting diode (AMOLED).
Uncertainty Quantification of the Turbulent Flow and Heat Transfer of Film Cooling

In the present paper, Uncertainty Quantification (UQ) of the turbulent flow and heat transfer of film cooling is investigated. For this end, two stochastic flow and heat transfer parameters, namely Reynolds number (Re) and turbulent Prandtl number (Pr ) with the uniform Probability Distribution Functions (PDFs), along with six stochastic film cooling parameters, namely the blowing ratio ( ), the density ratio (DR), the turbulent intensity and the length scales of mainstream and coolant flow ( , , , ) all with the Beta PDF are considered. To quantify the effects of uncertainty in different conditions, UQ analysis is investigated for low (i.e., = 0.5) and high (i.e., = 2) blowing ratios. The uncertainties are propagated using the NonIntrusive Polynomial Chaos Expansion (NIPCE) method with polynomial order = 3. The nondeterministic CFD results show that considering stochastic conditions causes a significant effect on the film cooling effectiveness. Among the considered random parameters, Re, DR and mostly influence the cooling effectiveness . The remaining random parameters (i.e. , , and ) show negligible effects.