Miracle-dz/UniFAR-FTUs huggingface dataset:
Single crystal X-ray structure and optical properties of anthraquinone-based dyes

This study focuses on the preparation, single crystal X-ray diffraction, characterization, and optical properties of some anthraquinone-based dyes. The anthraquinone-based antimicrobial dye N-{2-[(9,10-dioxo-9,10-dihydroanthracen-1-yl)amino]-2-oxoethyl}-N,N-dimethylbutan-1-aminium chloride monohydrate (III) was obtained from 1-aminoanthraquinone (I) via 2-chloro-N-(9,10-dioxo-9,10-dihydroanthracen-1-yl)acetamide (II) using known preparation and characterization methods. Single crystal X-ray diffraction analysis of III revealed a monoclinic system, space group P21/n, Z = 4. Photoluminescence properties of anthraquinone dyes I–III were also investigated. These dyes gave an intense emission (λmax = 341 nm) upon the irradiation by UV light and showed photoluminescence quantum yields of 73 %, 66 %, and 61 % with long excited-state lifetimes of 6.87 ns, 6.14 ns, and 5.69 ns, respectively. These anthraquinone dyes are of interest as an organic light emitting material for electroluminescent devices.
Raman spectroscopy of covalently functionalized single‐wall carbon nanotubes

Raman spectroscopy is one of the most extensively employed methods for the characterization of carbon nanotubes. In this review article, an overview about Raman spectroscopy as a tool for the characterization of functionalized single-walled carbon nanotubes (SWCNTs) is given. First, the relevant Raman modes in SWCNTs are introduced. Then, in a phenomenological approach, the effects that are observed for the individual modes in the Raman spectra are compiled and discussed. It is shown that special care has to be taken in order to separate the effects of functionalization, which are specific to a subset of the SWCNTs (metallic/semiconducting or diameter dependent), from changes in sample morphology or doping effects. Copyright © 2007 John Wiley & Sons, Ltd.
Brexit: a vote driven by deprivation?

Why did the British electorate vote to leave the European Union? Using an extensive data set on deprivation at the local authority level, we explore the factors that shaped the leave decision. We find that the sharp rise in deprivation during 2010-15 was closely associated with an increased likelihood of the leave vote, lending support to the arguments that austerity from 2010 onwards played a key role in the Brexit decision. Our results also reveal that deterioration in educational opportunities; rise in crime; and barriers to housing had been particularly influential in the leave vote. Citation: Gulcin Ozkan and Grace Stamate, (2020) ''Brexit: a vote driven by deprivation? '', Economics Bulletin, Volume 40, Issue 4, pages 3010-3019 Contact: Gulcin Ozkan gulcin.ozkan@kcl.ac. uk, Grace Stamate gracestamate@yahoo.co.uk. Submitted: September 22, 2018. Published: November 14, 2020. Submission Number: EB-18-00764 Brexit: a vote driven by deprivation? Gulcin Ozkan Grace Stamate University of York University of York
Comparing the groundwater quality of region 10 of Tehran to the Iranian and EPA drinking water standards

1 Department of Environmental Planning, Management and Education, Faculty of Environment, University of Tehran, Tehran, Iran 2 Department of Environmental Pollutants Research, Environmental Sciences Research Institute, Shahid Beheshti University, G.C. , Tehran, Iran 3 Department of Environment, Natural Resources Faculty, Isfahan University of Technology, Isfahan, Iran 4 Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
Development of smart sustainable recyclable system termed for waste composite material under SBAI scheme

Introduction The formwork is supporting structure which is used in construction. There are several types of formwork systems used in construction industry. The selection of the formwork mainly depends on needs of a particular project. In conventional formwork system steel, aluminum, fiber materials are used for as formwork materials [1] Nowadays with rapidly growth of construction industry the requirement of industry is also change. As all these needs cannot be completed by traditional formwork system. So, the WCM formwork is alternative system and best option for the construction industry [3]. The environmental effects of construction of formwork are also revealed through this system. The WCM formwork system is the best alternative solution of traditional formwork system. this form work system is famous for quality, durability, economy Andre quired optimum time. Nowadays with rapidly growth of construction in dustry the requirement of industry is also change [5]. As all these needs cannot be completed by traditional formwork system. So, the WCM formwork is alternative system and best option for the construction industry. The environmental effects of construction of formwork are also revealed through this system [7-10].
Classification of Intrapartum Fetal Heart Rate Signals

Continuous monitoring of the fetal heart rate (FHR) signal has been widely used to allow obstetricians to obtain detailed physiological information about newborns. The objective of this thesis is to briefly study fetal heart characteristics and investigate machine learning and data mining techniques to gain vital information regarding the fetal health during labor and whether or not an intervention would be required. The thesis focuses on using machine learning techniques for FHR classification. A comprehensive set of 41 features is extracted from a large intrapartum CTG database, collected at Brno University Hospital (Czech Republic). The dataset contains 4462 subjects, from which 86 are positive cases with pH <= 7.05 and 4376 as negative cases with pH > 7.05. First, we examine the importance of individual features and measure their area under the ROC curve (AUC). The most relevant feature is energy_tot which ranked at the top with an AUC score of 0.61, followed by energy_VLF and mad, both with an AUC score of 0.60. Due to the clear misproportion between the positive and negative classes, AUC metric was taken into consideration while assessing the model performance, while also carefully monitoring the sensitivity and specificity of the model. Three models are used to classify the data, logistic regression, SVM and kNN. Double-loop cross-validation is performed to provide unbiased performance estimation; the highest AUC was obtained using logistic regression with AUC of 0.62. Further, we propose multiple hypotheses and discuss their contribution to the performance of the model (logistic regression) which include the use of feature extraction algorithm (PCA is used) to reduce the feature subspace, SMOTE analysis to oversample the minority class, as well as, measuring the performance after adding more features or more segments.
Investigation into the Phytochemical profile, Antioxidant and Antibacterial potentials of Combretum Molle and Acacia Mearnsii leaf parts

1Department of Chemistry, Vaal University of Technology, Private Bag X021, Vanderbijlpark, 1911, South Africa. 2Department of Chemical Sciences, Anchor University, P.M. B. 001, Ipaja, Lagos, Nigeria. 3Department of Chemistry, College of Science, Engineering and Technology, University of South Africa, Private Bag X6, Florida, 1710, South Africa. 4Institute of Chemical and Biotechnology, Vaal University of Technology Southern Gauteng Science and Technology Park, Sebokeng, 1983, South Africa. 5School of Chemistry, University of the Witwatersrand, Private Bag 3, Wits, 2050, South Africa. *Corresponding Author E-mail: iejidike@aul.edu. ng
INFORMATIONAL PHASE OF THE DEVELOPMENT OF EQUIPMENT FOR ANALYSIS OF DIRECT SHEAR AND PRE-COMPACTION OF THE SOIL

Given the real need for advances in studies such as the relationship of soil-machine dynamics, it is clear that there are almost no innovative systems developed to attend this demand. The design of agricultural machinery and equipment can be facilitated by having information and mechanisms that allow the prediction of the mechanized-set behavior in real work situation, especially regarding the traction effort demanded by the tractor, due to the energy demand of the equipment that interact directly with the soil. Obtaining this information usually requires high-cost imported laboratory equipment. Thus, the objective of this work was to obtain the design specifications for the development of a direct shear and soil pre-compaction analysis equipment with low manufacturing cost. The Phases Methodology was used to obtain the necessary parameters, in the informational phase of the desirable aspects for each design requirement. Through a step-by-step analysis, it was possible to obtain customers’ needs, together with the establishment of the desired criteria, and the design requirements for the new product development was generated. The use of the Phases Model allowed the transformation of customers’ requirements into the design requirements, enabling hierarchization by degree of importance and thus enabling the execution of future steps.
Pharmacological analysis of the novel, rapid and potent inactivation of the human 5-HT 7 receptor by risperidone, 9-OH-risperidone and other “inactivating antagonists”

: In a previous publication, using h5-HT 7 receptor-expressing HEK293 cells, we reported the rapid, potent inactivation of the h5-HT 7 receptor stimulation of cAMP production by three antagonists: risperidone, 9-OH-risperidone, and methiothepin (Smith et al., 2006). In order to better understand the drug-receptor interaction producing the inactivation we a) expanded the list of inactivating drugs; b) determined the inactivating potencies and efficacies by performing concentration-response experiments and c) determined the potencies and efficacies of the inactivators as irreversible binding site inhibitors. Three new drugs were found to fully inactivate the h5-HT 7 receptor: lisuride, bromocryptine, and metergoline. As inactivators these drugs diplayed potencies of 1, 80, and 321nM, respectively. Pre-treatment of 5-HT 7 expressing HEK cells with increasing concentrations of the inactivating drugs risperidone, 9-OH-risperidone, methiothepin, lisuride, bromocryptine, and metergoline potently inhibited radiolabeling of the h5-HT 7 receptor, with IC 50 values of 9, 5.5, 152, 3, 73, and 10nM, respectively. Surprisingly, maximal concentrations of risperidone and 9-OH-risperidone inhibited only 50% of the radiolabeling of h5-HT 7 receptors. These results indicate that risperidone and 9-OH risperidone may be producing 5-HT 7 receptor inactivation by different mechanisms than lisuride, bromocryptine, metergoline, and methiothepin. These results are not interpretable using the conventional model of GPCR function. The complex appears capable of assuming a stable inactive conformation due to the interaction of certain antagonists. The rapid, potent inactivation of the receptor-G-protein complex by antagonists implies a constitutive, pre-existing complex between the h5-HT 7 receptor and a G-protein.
Using a Bayesian framework to account for advection in seven years of snowpack CO2 fluxes in a mortality

In subalpine forests where snowpacks can persist for 50% of the year or longer, wintertime subnivean soil respiration constitutes a significant, but poorly understood, portion of the carbon (C) cycle. The temporal and seasonal dynamics of this flux are difficult to measure compared to snow-free respiration. This makes it challenging to fully address key knowledge gaps in high-elevation forests, including effects of tree mortality on ecosystem C fluxes. Our paper attempts to overcome these challenges by developing a new method for estimating wintertime CO2 flux from soil underneath winter snowpack based on CO2 profiles in the snow and using this to examine potential effects of a tree mortality event on wintertime respiration. The chief problem for estimates based on snow CO2 measurements is that during strong winds, vertical CO2 profiles can depart significantly from linearity, resulting in CO2 fluxes that are not steady-state diffusive fluxes. Consequently, these fluxes include an advective component induced by wind and atmospheric pressure, resulting in above-snowpack fluxes that may be temporally decoupled from biological flux production in the soil. These advective fluxes lead to errors in estimates of the total amount of CO2 produced from the soil surface during the winter, and may complicate the detection of significant seasonal and interannual trends in snowpack CO2 fluxes. Our goal was twofold: first, to improve methods for estimating wintertime subnivean soil respiration; and second, to use this new method to examine potential effects of forest mortality on respiration. We develop a Bayesian-based model of CO2 snowpack profiles and accounts for CO2 storage flux within the snowpack to calculate diffusive and advective fluxes from both the bottom and the top of the snowpack. We apply this model to hourly snowpack CO2 profile data collected over 7 years at an AmeriFlux eddy covariance (EC) site in a Wyoming subalpine forest that had recently experienced a mass tree mortality event. Hourly advective fluxes from the snowpack surface are less variable over time than hourly EC fluxes. Nonetheless, on a daily time scale, the two methods agree well with each other. We found that soil biological CO2 production entering the bottom of snowpack peaked 3 years after the onset of the bark beetle outbreak and 1-year after dead trees dropped their needles, presenting the first evidence of a short-term increase in respiration following bark beetle mortality. Our findings emphasize the importance of accounting for the role of wind-driven advection in wintertime respiration and suggest that tree mortality may nearly double wintertime respiration in the first few years.
Towards � estion-based Recommender Systems

Conversational and question-based recommender systems have gained increasing attention in recent years, with users enabled to converse with the system and better control recommendations. Nevertheless, research in the � eld is still limited, compared to traditional recommender systems. In this work, we propose a novel Q uestion-based rec ommendation method, Qrec, to assist users to � nd items interactively, by answering automatically constructed and algorithmically chosen questions. Previous conversational recommender systems ask users to express their preferences over items or item facets. Our model, instead, asks users to express their preferences over descriptive item features. The model is � rst trained o � ine by a novel matrix factorization algorithm, and then iteratively updates the user and item latent factors online by a closed-form solution based on the user answers. Meanwhile, our model infers the underlying user belief and preferences over items to learn an optimal question-asking strategy by using Generalized Binary Search, so as to ask a sequence of questions to the user. Our experimental results demonstrate that our proposed matrix factorization model outperforms the traditional Probabilistic Matrix Factorization model. Further, our proposed Qrec model can greatly improve the performance of state-of-the-art baselines, and it is also e � ective in the case of cold-start user and item recommendations.
Comparison of Native and Regenerated Antheraea Pernyi Silk Fibroin

The regenerated Antheraea pernyi silk fibroin (RASF) was harvested by dissolving the silk fibers in a calcium nitrate solution. XRD result demonstrated that both native and regenerated Antheraea pernyi silk fibroin involved the α-helix conformation, and DTG curves showed that their thermal decompositions were quite similar and proceeded three steps. However, rheological measurements figured out that the molecule weight of RASF decreased from 246 kDa to 199 kDa, comparing with native Antheraea pernyi silk fibroin. Also, the tensile properties of the RASF film, which were the same to those of regenerated Bombyx mori silk fibroin film, were observed.
Mobile Based Coronavirus Report and Response System for Academic Institutions of Developing Countries

— In recent days, the medical reporting and response system in Egypt has subjected to great strains, due to the rapid growth of the new Coronavirus epidemic, which has led to a decrease in the efficiency of communications services in the medical sector and a significant increase in response time to emergency calls. To increase the throughput of the medical emergency communication in the educational sector, this paper has been presented. In this paper, a new Coronavirus Report and Response System (CRRS) for academic institutions of developing countries has been proposed. The aim of the proposed (CRRS) is to save lives in educational institutions by improving the emergency communications between the patient member of academic institution and the concerned health agency on the one hand, and making the process of emergency response more efficient on the other hand. The proposed (CRRS) integrates a set of major tools to report and respond to any suspected case of Coronavirus in educational institutions, such as Internet protocols, GPS, WhatsApp platform, Facebook platform, . etc. The proposed (CRRS) has been evaluated on two levels. In first evaluation level, the system application on various Android smartphones has been evaluated by a number of smartphone owners. In second evaluation level, the system efficiency has been evaluated from different aspects by a number of Android App developers. The evaluation outcomes confirmed the efficiency of the proposed (CRRS), where the proposed (CRRS) worked efficiently on various Android smartphone devices and gained the satisfaction of Android app developers by 97.77%.
An Analysis of the Re-solving Issue in Network Revenue Management

This extended abstract illustrates the application of the re-solving theory developed by Secomandi (2004) to the airline network revenue management problem (see Talluri and van Ryzin 2004 for an introduction to revenue management). Secomandi (2004) applies this theory to problems of freight-railcar distribution (Powell 2003) and multiproduct make-toorder production (Zipkin 2000). Airlines sell products, consisting of origin-destination-itinerary-fare-class combinations, by taking advance reservations for future departure dates. For a given such date, they manage product reservations during its booking period. Bookings are operationally satisfied at departure time. The objective is to devise a booking control policy that maximizes the expected revenue collected during the booking period.
The Influence of Service Marketing Mix on Customer Loyalty towards Islamic Banks: Evidence from Jordan

This study aimed to conduct an analysis of the influence of service marketing mix on customer loyalty, with customer satisfaction as the mediating variable in the context of Islamic banks in Jordan. Banks generally require catering to distinct needs and preferences of customers in order to sustain their long-term relationship. The study collected the required data from 344 respondents using a structured questionnaire, with the sample obtained through convenience sampling approach. Based on the research results, all the elements of service marketing mix, namely price, product, place, promotion, process, people and physical evidence significantly and positively affected customer satisfaction and customer loyalty. This study contributes to the Jordanian Islamic banks knowledge and information concerning the marketing mix strategies that they can adopt in order to sustain and maintain long-term customer relationships. The study supported the importance of customer satisfaction for the creation of customer loyalty. The study findings have implications to literature and practice when it comes to understanding the marketing mix pattern, customer satisfaction and customer loyalty relationship.
Variational vibrational calculations using high-order anharmonic force fields

A simple variational procedure, termed DOPI for discrete variable representation—Hamiltonian in orthogonal coordinates—direct product basis–iterative diagonalization, is described and applied to compute low-lying vibrational band origins (VBOs) of the triatomic systems H2O, CO2, and N2O, employing published empirical and theoretical sextic force fields. While in these cases no difficulties arise when quartic potentials are used, the limited range of applicability of 6th-order potentials presents difficulties for the variational determination of VBOs, in particular for the higher-lying bending states. For H2O, transformation of quadratic and quartic force fields from simple bond stretching to Simons–Parr–Finlan (SPF) coordinates results in computed VBOs deviating less from experiment. This, however, does not hold for the VBOs computed from the transformed sextic force fields where the two representations provide highly similar results. While use of empirical quartic and sextic force fields result in a much better reproduction of experimental VBOs than that of ab initio force fields, especially at higher (fifth- and sixth-) order the empirical force constants, obtained through different refinement procedures, do not correspond to the associated derivatives of the potential energy surface (PES). Rotational constants characterizing low-lying vibrational states have been evaluated as expectation values using inertia tensor formulas in the Eckart and principal axis frames. Only the Eckart axes should be used for these computations and they yield accurate vibrationally averaged rotational constants.
Optimisation study of large‐scale enzymatic synthesis of oleyl oleate, a liquid wax ester, by response surface methodology

An optimisation study of the large-scale enzymatic synthesis of a liquid wax ester from oleic acid and oleyl alcohol using Novozym 435 was carried out. Investigations were performed in batch mode with a stirred tank reactor (STR) with one multi-bladed impeller. Response surface methodology (RSM) based on a five-level, three-variable central composite rotatable design (CCRD) was used to evaluate the interactive effects of various parameters. The parameters are amount of enzyme (A) (90–120 g), impeller speed (B) (100–400 rpm) and temperature (C) (40–60 °C). The optimum conditions derived via RSM at a fixed reaction time of 1 h were successfully optimised as A = 104 g, B = 388.0 rpm and C = 49.7 °C. The actual experimental yield was 96.7% under the optimum conditions, which compared well with the maximum predicted value of 97.6%.
Assessment of Inflammation, Comorbidity and Demographic Factors in Patients with Kidney Disease in Baghdad

Inflammation markers are significantly higher among hemodialysis (HD) patients, which have been associated with chronic activation of the immune system. Hemodialysis centers in Baghdad appear to be taking measures with low adequacy and frequency of dialysis sessions, which can be a reason for decreased kidney functions. Therefore, the objective of this study focuses on the assessment of different aspects of hemodialysis for regular HD patients in Baghdad, including inflammatory markers (serum C-reactive protein, CRP, and erythrocyte sedimentation rate, ESR), dialysis dose, comorbidities, and demographic factors for a period of one year (2018), the assessment covered four major hospitals in Baghdad namely (Al-Kindi, Baghdad Educational, Al-Imamain Al-Jwadian, and AlYarmouk). The study involved 320 adult (chronic kidney disease; non hepatitis virus) patients (55% male and 45% female) treated with regular hemodialysis. When compared with the normal values specified by manufacturers for the number of measurement of these indicators. Inflammation markers were high in HD patients were 66.2% of patients recorded elevated of CRP and 87.7% for ESR with no significant difference between males and females, but the origin of chronic inflammation in the patient's remains unclear. Moreover, the majority of HD patients were non-educated; illustring that higher education is possibly associated with lower disease incidence as compared to those who never finished high school. Finally, most of these hospitals, average hemodialysis treatment lasts about three hours and is done two times per week.