Miracle-dz/UniFAR-FTUs huggingface dataset:
Adopting some statistical methods in studying Iraqis immigration behavior

This article dealt with the topic of adopting statistical methods in studying the behavior of the Iraqi immigration, especially the multiple regression method in determining the most important factors that affect this phenomenon. The results showed that statistical methods have a great ability to characterize the phenomenon of migration by defining a multiple regression model for the impact of some factors such as gross domestic product, gross domestic product per capita and the size of the population in Iraq on the migration. Parameters of the model have been estimated using the ordinary least squares method and two stage least squares method. As it was estimated the amount of the impact of each of the factors included in the model on the migration, as well as the direction of the impact of each factor, whether these effects are negative or positive. All tests and statistical criteria indicated the significance of the effects of the factors included in the model and the high quality of the estimated regression model. Therefore, the responsible authorities in Iraq must rely on statistical methods to develop plans and solutions to control the phenomenon of migration and the factors that affect it.
Armazenamento de mirtilo 'Bluegem' em atmosfera controlada e refrigerada com absorção e inibição do etileno

The aim of this work was to evaluate storage conditions on the maintenance of the physiochemical qualities in Bluegem blueberry. The experiment was arranged in a complete randomized design , with four replicates and the experimental unit consisted of approximately 400g of fruits. Six storage conditions were evaluated as follows: [ 1 ] Cold storage (CS); [2] CS with ethylene scrubbing; [3] Controlled atmosphere (CA) with 2.0 kPa O2 + 10.0 kPa CO2; [4] CA with 2.0 kPa O2 + 15.0 kPa CO2; [5] CA with 10.0 kPa O2 + 15.0 kPa CO2; [6] CA with 2.0 kPa O2 + 10.0 kPa CO2 with application of 900 ig kg-1 of 1-methilciclopropene. All treatments were stored at 0.5°C (± 0.1°C). Fruit quality was evaluated after seven weeks of storage plus three more days at 20°C (± 0.2°C). The best 'Bluegem' blueberry conservation was achieved in cold storage, which gave the highest titratable acidity, total soluble solids and percentage of firm fruit, lowest ethylene and CO 2 production as well as the highest anthocyanin and total polyphenolic contents. However, the removal of ethylene in the storage room can prolong fruit conservation.
Detection of desirable areas for urban growth through GIS and OWA: the case of Culiacan and Navolato

Due to an accelerated growth of artificial surfaces, an increasing interest in the changes on land use has been detected in the last decade, making it necessary to propose models able to create plans of optimal and sustainable development. The goal of this work is to identify the potentially most suitable spaces for urban growth, through geospatial simulations which integrate the Geographic Information Systems and OWA (Ordered Weighted Average). We propose a sensitivity analysis methodology to the results in order to assess their robustness with respect to the input values’ weights variability, based on histograms and distances classification. Finally, the selection proposal shows a considerable percentage according to the planned area.
Genetic and environmental variation in sorghum starch properties

Starch was isolated from eight local Zimbabwean landrace varieties, an improved cultivar (SV2) and a hybrid (DC-75) of sorghum grown in four environments. Amylose content, pasting (peak (PV), hotpaste (HPV), cool-paste (CPV) viscosity), textural and thermal (gelatinisation peak temperature (Tp) and gelatinisation energy (H)) properties of the starches were determined. The F-tests from analyses of variance detected significant (p<0·001) differences among genotypes and growing environments for the starch properties measured. The results indicate that a range of genetic and environmental variability exists for these traits in sorghum genotypes although the latter could be greater than varietal effects. Hybrid DC-75 largely differed in starch amylose content, pasting PV, and gel hardness from the local landrace varieties. Environments used for local landrace varieties caused significant differences in starch properties, hence selection and monitoring of growing conditions is essential if a particular genotype is to maintain minimum variation in the desired pasting, textural or thermal properties. Genotype×environment interactions indicate that in breeding programmes, selection for starch properties at a single location would be misleading.  2001 Academic Press
The Impact of Short-term Study Abroad on Global Citizenship Identity and Engagement

Higher education has increasingly begun to realize the importance of engaging students in global citizenship learning opportunities to be more globally informed, prepared, responsible, and competent. Study abroad in higher education is rapidly becoming recognized as an effective experiential learning platform for fostering intercultural exchanges. This article reports on research that examined study abroad as a learning platform for integrating classroom acquired knowledge with real world experience. The study explored the value of short-term study abroad in the facilitation of students' global awareness and knowledge, their identification as global citizens and endorsement of prosocial values associated with global citizenship, and their participation as globally engaged citizens. Participation in study abroad was found to significantly strengthen one’s affiliation with global citizenship, endorsement of prosocial values, and identify motivation to engage in global citizenship activities. Our findings have implications for the design and implementation of global citizenship education curricula in higher education.
DNA barcoding of coral reef fishes from Chuuk State, Micronesia

Abstract The fish diversity of Chuuk Micronesia is currently under threat due to rapid changes in the coral reef ecosystem. Thus, accurate fish identification using DNA barcodes is fundamental for exploring species biodiversity and resource protection. In this study, we analyzed 162 fish mitochondrial DNA cytochrome c oxidase I (COI) barcodes from Chuuk Micronesia. Consequently, we identified 95 species from 53 genera in 26 families and seven orders. The average Kimura 2-parameter genetic distances within species, genera, families, and orders were calculated as 0.17%, 11.78%, 15.63%, and 21.90%, respectively. Also, we have utilized DNA barcodes to perform genetic divergence and phylogenetic analysis of families recognized as dominant groups in Chuuk State. Our findings confirm that DNA barcodes using COI are an effective approach in identifying coral reef fish species. We anticipate that the results of this study will provide baseline data for the protection of coral reef fish biodiversity at Chuuk Micronesia.
Reductive Nitrile Coupling in Niobium−Acetonitrile Complexes Probed by Free Electron Laser IR Multiphoton Dissociation Spectroscopy

Experimental IR multiphoton dissociation spectra of cationic niobium−acetonitrile complexes with the formal stoichiometry [Nb,nCH3CN]+, n = 4, 5 (the notation [Nb,nCH3CN]+ was chosen in order to emphasize the formal stoichiometry of a cluster without implying any structural information), as provided by the Free Electron Laser at CLIO, Orsay, France, are compared to ab initio IR absorption spectra throughout the spectral “fingerprinting” range 780−2500 cm-1. For n = 4 the vibrational spectrum in combination with the performed ab initio calculations provides strong evidence for a square-planar high-spin quintet [NbI(NCCH3)4]+ complex. For n = 5, additional vibrational bands between 800 and 1550 cm-1 are interpreted in terms of covalent C−C coupling in [Nb,5CH3CN]+. Screening on the basis of ab initio calculations leads to the assignment of the recorded spectrum to the metallacyclic species [NbIII(NCCH3)3(NC(CH3)C(CH3)N)]+ with an electronic triplet state. The deduced processes upon 4-fold and 5-fold coordin.
A Speech Act Analysis of the First Speech of Imran Khan as Prime Minister

This paper aims to highlight the speech acts which have been working behind the first speech that has delivered by Imran Khan as Prime Minister of Pakistan at 26, July 2018. It is a political discourse that attracts the researcher's interest. The objective of this paper is to answer what type of speech acts have been used by Imran Khan, the overlapping of what speech acts occur in Imran Khan's speech and what direct and indirect speech acts have been used by Imran Khan. The findings revealed that his speech includes representative acts (27.083%), expressive acts (1.041%), declarative acts (7.291%), directive acts (25%), commissive acts (39.583%) out of the total 100% of data. This paper-based on both qualitative and quantitative analysis of discourse. The framework employed in this study is the Speech Act theory that has introduced by J.L Austin in 1962 and further developed by J.R Searle (1969).
Influence of Organizational Politics on University Teachers' Performance

The purpose of the study was to explore the relationship of organizational politics on the performance of teaching faculty of the universities of Pakistan. The nature of the study was descriptive. The public sector universities of Punjab were the population of the study. The researchers randomly selected the four universities, i.e. the University of the Punjab Lahore, Bahaud din Zakria University Multan, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi and The Islamia University of Bahawalpur. Two questionnaires, namely Organizational Politics by Vigoda (2007) and Teachers Performance Evaluation Scale (TPES) by Shehzad and Farooqi (2016), were adapted for the study. The statistical techniques t-test and Structural Equation Modelling (SEM) were applied to analyse the data. It was inferred that organizational politics had significant impact and relationship with the performance of university teachers. It is recommended that a qualitative approach may be adopted to get a further in-depth understanding of the phenomenon.
Data Mining Approach to Counterterrorism

Terrorism has long been a major threat to the world for many years and different governments have used different approaches to tackle it. This study reports on the use of available data about terrorist incidents all around the world in combating terrorism with the application of deep learning. There was a comprehensive literature review and the analysis of existing systems and ideas gathered were used to develop the system. This project is done in order to improve on the work carried out by Trisha J. (2018). To improve on the work, extra features were introduced in the dataset and a deep neural network (DNN) model for predicting the success of terrorist attacks was developed. Dataset from the Global Terrorism Database (GTD) were used to train the model. Our proposed model achieved performance accuracy of 91.371% as opposed to that of Trisha J. (2018) which achieved the performance accuracy of 91.18%. Keywords: Terrorism, deep neural network, global terrorism database, data mining
The Identification of Gelatin source in Toothpaste products using Combination of Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy and Chemometrics

Toothpaste products traded within Indonesia are produced locally and internationally. Some of the toothpaste products may contain gelatin, a protein derived from bovine or porcine skin and bones. There are only few researchers studying gelatin in the toothpaste. Therefore, this study aimed to examine the presence of gelatin in toothpaste using the Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy method combined with chemometrics. The presence of gelatin in the sample was identified from the similarity of the infrared spectrum profile between the sample and the standard gelatin of cow and pig origins. The spectra data sets from ATR-FTIR were subject to Principal Component Analysis (PCA) and subsequent Soft Independent Modeling of Class Analogy (SIMCA) method to precisely classify the origin of the gelatin. The study showed that the ATR-FTIR method can be used to identify the presence of gelatin in toothpaste products. Gelatin was detected in two out of 42 samples. However, the combination of the ATR-FTIR technique with chemometry could not provide excellent illustration of the origin of gelatin in the toothpaste products. We presumed that the gelatin was only added in small amounts in these samples to serve as a stabilising or emulsifying agent.
Electrical conductivity of YBa2Cu3O7-δ single crystals under conditions of anionic ordering in Cu(1)O1-δ layers

The influence of thermocycling annealing processes on the oxygen ordering degree (order parameter) in YBa2Cu3O7-δ single crystals has been studied. It has been shown that an increase in the critical onset temperature of the transition to the superconducting state during thermocycling annealing procedures is consistent with the decrease of the σс/σаb parameter. This fact indicates a redistribution of the electronic density between the structurally inhomogeneous Cu(2)O2 and Cu(1)O1-δ planes, due to the formation of oxygen long-range order in the O(4)–Cu(1)–O(4) linear groups along the (b) crystal structure axis of the unit cell, and elimination of oxygen defects in the square nets of the Cu(2)O2 planes. The existence of the critical value of the conductivity anisotropy σс/σаb, below which its behavior does not correlate with the change of Тс, has been confirmed. In this case an increase in Тс and orthorhombic distortion of the crystal structure during isothermal annealing are caused by the amplification of the “interlayer” interaction between the Cu(2)О2 and Cu(1)О1-δ planes. As a result, the contribution of the Cu(1)О1-δ chain layers to the electron state density at the Fermi level increases. These layers can acquire superconducting properties due to tunneling of Cooper pairs from the Cu(2)О2 planes resulting in the formation of the induced superconductivity in these planes.
Preparation and Characterization of Polyurethane Foams from Modified Rosin-Based Polyether Polyol

Rosin based polyether polyols were synthesized from rosin formaldehyde adduct, propylene epoxide and ethylene epoxide in the presence of catalyst. Rigid polyurethane foams (PUFs) were prepared with these rosin-based polyols and compared with foam made with an industrial polyether polyol (TC-4110) and rosin-based polyester polyols. The mechanical and thermal properties of foams were analyzed by some methods. The experimental results show that the foaming behavior for the foams prepared from such rosin based polyether polyols is similar to that of industrial products, but the reaction activities were higher, the viscosities are much lower. Furthermore, their 10% compression strength and thermal stability were higher and the dimensional stability is similar or somewhat better than that of TC-4110 system. All these unique properties of rigid PUFs made with rosin based polyether polyols were more suitable for as industrial production.
Neues über K2[MnF6], Rb2[MnF6] und Cs2[MnF6]

Cs2[MnF6] (a = 8,972 A) und Rb2[MnF6] (a = 9,531 A) sowie dieses mit K2[MnF6] (a = 8,221 A bzw. hexag. a = 5,722, c = 9,331 A) geben Mischkristalle vom K2PtCl6-Typ. Berechnungen des Madelunganteiles der Gitterenergie, MAPLE und Effektiver Koordinationszahlen, ECoN, fuhren im Gegensatz zu alteren Annahmen auf Abstande MnF um 1,85 A (Koordinationszahl 6). News on K2[MnF6], Rb2[MnF6], and Cs2[MnF6] Cs2[MnF6] (a = 8.972 A) and Rb2[MnF6] (a = 8.531 A) as well as this with K2[MnF6] (a = 8.221 A and hexagonal a = 5.722, c = 9.331 A) form mixed crystals of the K2PtCl6 type of structure. Calculations of the Madelung Part of Lattice Energy, MAPLE, and Effective Coordination Numbers, ECoN, lead contrary to former assumptions to distances MnF of about 1.86 A (CN 6).
Aphrodisiac activity of vanari gutika formulated using milk obtained from jersey cow (Bos taurus), indigenous cow (Bos indicus) and buffalo (Bubalus bubalis)

Erectile dysfunction (ED) is a condition characterized by the inability to develop or maintain erection of the penis . Ayurveda recommends vanari gutika, prepared from Mucuna pruriens as one of the products suggested for the management of sexual dysfunction. We were interested to validate and compare aphrodisiac potential of vanari gutika formulated, as per the principles of Ayurveda, using milk obtained from jersey cow ( Bos taurus) , indigenous cow ( Bos indicus ) and buffalo ( Bubalus bubalis ). In order to assess the aphrodisiac activity, Swiss Albino mice were used as experimental subjects (n = 6 animals per group) with oral administration of aforesaid three formulations of vanari gutika with different doses i.e., 8.56 mg/mL, 17.14 mg/mL and compared with standard sildenafil citrate (5 mg/kg) and vehicle (milk+ghee) for 7 consecutive days. Animals were observed for mating behavior. Hormonal analysis, sperm count and histopathological studies were carried out to confirm physiological changes. The study exhibit marked changes in sexual behavior. Vanari gutika formulated using milk from indigenous cow at higher dose (17.14 mg/mL) showed significant increase in mounting frequency, hormone levels, sperm count and histopathology which revealed the ruptured seminiferous tubules. These investigations confirmed significant intensification of sexual activities in experimental animals.
RFID-based Supply Chain Process Mining for Imported Beef

Through the development of efficient data collecting technologies like RFID, and inter-enterprise collaboration platforms such as web services, companies which participate in supply chains can acquire visibility over the whole supply chain, and can make decisions to optimize the overall supply chain networks and processes, based on the extracted knowledge from historical data collected by the visibility system. Although not currently active, the MeatWatch system has been developed, and is used in part for this purpose, in the imported beef distribution network in Korea. However, the imported beef distribution network is too complicated to analyze its various aspects using ordinary process analysis approaches. In this paper, we suggest a novel approach, called RFID-based supply chain process mining, to automatically discover and analyze the overall supply chain processes from the distributed RFID event data, without any prior knowledge. The proposed approach was implemented and validated, by using a case study of the imported beef distribution network in Korea. Specifically we demonstrated that the proposed approach can be successfully applied to discover supply chain networks from the distributed event data, to simplify the supply chain networks, and to analyze anomaly of the distribution networks. Such novel process mining functionalities can reinforce the capability of traceability services like MeatWatch in the future.
Relationship of Personal Resilience and Job Satisfaction Through The Lens of Employee Engagement

Aim of current study is to find the relationship of personal resilience, employee engagement and job satisfaction. This is quantitative research and date is collected from 220 employees. Simple random sampling technique is used for data collection for selecting the banks of Lahore Pakistan. Three of the hypotheses are about direct relationships and one is about the mediation effect of employee engagement for the for the relationship of personal resilience and job satisfaction. Results revealed that hypotheses about direct relations are accepted. Furthermore, employee engagement emerges as partial mediator for relationship of personal resilience with job satisfaction. In future, these types of studies may also conduct on other sectors like hotel industry, telecom, nursing sector and education sector. In future research, results of public and private banks will also compare this will provide the valuable insights. For generalizing the results data will be collected from banks of other cities like Islamabad, Karachi and Faisalabad.
Multi-Criteria Decision-Making Approach for Container-based Cloud Applications: The SWITCH and ENTICE Workbenches

: Many emerging smart applications rely on the Internet of Things (IoT) to provide solutions to time-critical problems. When building such applications, a software engineer must address multiple Non-Functional Requirements (NFRs), including requirements for fast response time, low communication latency, high throughput, high energy efficiency, low operational cost and similar. Existing modern container-based software engineering approaches promise to improve the software lifecycle; however, they fail short of tools and mechanisms for NFRs management and optimisation. Our work addresses this problem with a new decision-making approach based on a Pareto Multi-Criteria optimisation. By using different instance configurations on various geo-locations, we demonstrate the suitability of our method, which narrows the search space to only optimal instances for the deployment of the containerised microservice.This solution is included in two advanced software engineering environments, the SWITCH workbench, which includes an Interactive Development Environment (IDE) and the ENTICE Virtual Machine and container images portal. The developed approach is particularly useful when building, deploying and orchestrating IoT applications across multiple computing tiers, from Edge-Cloudlet to Fog-Cloud data centres.
Innovative Business Model Canvas for Foreign Entrepreneurship in Food Service Industry

Taiwan This study aims to utilize the business model canvas to explore foreign entrepreneurial strategies in Taiwan. The contribution of business model canvas is expected to assist entrepreneurs to build up more effective decisions and judgements as well as increase the probability of success. This study is divided into three major phases. First, the research framework and interview outline were established on the basis of relevant literatures review. Next, this paper used semi-structured interviews for six foreign entrepreneurs. Through the content analysis of interview results, a new 10 building blocks of business model canvas in the food service industry for foreign entrepreneurship was thereafter developed. The results of the analysis would enable foreign entrepreneurs who would like to establish business in Taiwan to review as potential strategies, as well as a further reference to attract foreigners who would like to start new business ventures in
Prediction of energy of interaction among tethered polymer chains confined between two parallel plates

A mean field continuum model has been used to predict the free energy of interaction between the layers of polymer chains grafted on two plane parallel plates. Four cases are considered: (a) a single plate with tethered chains, (b) two plates with equal amount of tethered chains on both plates, (c) tethering only on one plate, the other plate being bare, and (d) tethered loops on two plates. The predicted force−distance profiles are compared with the experimental data, reported in the literature, on interaction of polystyrene chains grafted on mica surface, with toluene as the solvent. The tethered amount is estimated from the regression of the experimental data. The predicted and the experimental profiles are in good agreement except for the case of short tethered loops. Moreover, in the experiment where the tethered amount is reported, the regression estimate closely matches with the actual value. In the cases where the tethered amount is not reported, the estimates of the same show the correct trend.