Miracle-dz/UniFAR-FTUs huggingface dataset:
The characterization of metal oxide - Mangifera indica L. matrix and its potential as scavenger of heavy metal pollutant

Abstract Widespread pollution by heavy metals requires an efficient, cheap and eco-friendly removal technique. This paper reports the use of discarded leaves of Mangifera indica L. modified to enhance their adsorption efficiency in the removal of heavy metal pollutant. The adsorbent was then characterized through X-ray diffraction study, Fourier transform infrared spectroscopy and application to mathematical models. The adsorption process was found to fit the Langmuir’s isotherm model and pseudo-first-order kinetic model. The intra-particle diffusion model was found to be the rate limiting step for the adsorption process. Its rapid kinetics, high hydrophilicity, and easy regenerability with mild mineral acid (like 0.005 M HCl) make this adsorbent suitable for the fixed bed column technique.
SoK: A Taxonomy for Layer-2 Scalability Related Protocols for Cryptocurrencies

Blockchain based systems, in particular cryptocurrencies, face a serious limitation: scalability. This holds, especially, in terms of number of transactions per second. Several alternatives are currently being pursued by both the research and practitioner communities. One venue for exploration is on protocols that do not constantly add transactions on the blockchain and therefore do not consume the blockchain’s resources. This is done using off-chain transactions, i.e., protocols that minimize the interaction with the blockchain, also commonly known as Layer-2 approaches. This work relates several existing off-chain channel methods, also known as payment and state channels, channel network constructions methods, and other components as channel and network management protocols, e.g., routing nodes. All these components are crucial to keep the usability of the channel, and are often overlooked. For the best of our knowledge, this work is the first to propose a taxonomy for all the components of the Layer-2. We provide an extensive coverage on the state-of-art protocols available. We also outline their respective approaches, and discuss their advantages and disadvantages.
MCTLS-Assisted Completed SINS/GPS Integrated and Applied to Low-Cost Attitude and Heading Reference System

In this paper, a robust heading determination method is proposed for low-cost attitude and heading reference system (AHRS) aided by the global positioning system (GPS). As compared with the traditional GPS/SINS-integrated navigation-based heading determination method, in the proposed method, the heading information obtained from the GPS velocity outputs is first incorporated into the observation vector, which constructs a novel completed GPS/SINS integration framework and greatly improves the observability of azimuthal misalignment in the Kalman filter. Moreover, a multivariate constrained total least square (MCTLS) method is proposed and integrated into the completed integration framework to deal with the measurement error in both input and output data of GPS velocity measurement model, which improves the accuracy of the observed heading information and yields a robust heading estimation at each time instant. Simulation and experiment results demonstrate that the proposed robust heading determination method can outperform the related state-of-the-art methods for the GPS-aided attitude and heading reference system.
Research on personalized recommendation method based on social impact theory

With the rapid development of computer technology, the personalized needs of users become more and more prominent. The complexity of online learning resources and social networks lead to sparse data sets and low recommendation efficiency. In this paper, the existing collaborative filtering recommendation algorithm does not distinguish the degree of user’s trust when integrating the social impact theory. Therefore, in order to establish more accurate characteristics of user’s social interaction, this paper integrates the trust mechanism in the social impact theory, brings the establishment, dissemination and socialization factors of trust into the research scope, and introduces them into personalized recommendation in the recommendation process of recommendation model, it is used to solve the problem of low recommendation effect and low quality of recommendation system on sparse data set. Experimental results show that the proposed personalized recommendation method can improve the recommendation effect and quality on sparse data sets.
The Design of Interprofessional Performance Assessments in Undergraduate
 Healthcare & Social Work Education: A Scoping Review

The increase in the number of people with multiple chronic conditions requires that future healthcare professionals learn to collaborate with professionals of various backgrounds. It is important that after graduation, students are ready to think from an interprofessional perspective. To make valid inferences about students’ interprofessional competencies, an interprofessional performance-oriented assessment approach is needed that yields evidence for the acquisition of interprofessional competencies. To date, little is known about the design of interprofessional assessments. The objective of this article is to examine the design quality of current interprofessional performance assessments in undergraduate healthcare and social work education. For this purpose, we did a scoping review and selected 28 studies. Based on a theoretical assessment design framework, we specifically analyzed the description of the purpose of the assessment, the assessment performances, the assessment exercises, and the assessment rating plan. Results show that in current interprofessional assessment practice, a rich variety of assessment exercises and assessment instruments is used. Much less is known about the role of the assessors and the performance criteria that are applied for the assessment of interprofessional competencies. We conclude that the design of interprofessional assessment performances and exercises that are aligned with the goals of interprofessional education needs further attention. We provide recommendations for future research regarding a more systematic design of well-aligned performance assessments in interprofessional education.
High performance liquid chromatographic determination of imazalil residue in agricultural products

A simple, rapid and reproducible residue analytical method for imazalil in fruits and vegetables has been developed. The method involved the use of an ion-exchange cartridge for sample clean up followed by high performance liquid chromatography with ultraviolet detector. Acetic ether was used for extraction. Bond Elut PRS and Bond Elut C18 were used for purification. The chromatography column used Inertsil ODS-3 and the mobile phase was created by acetonitrile-10 mM KH2PO3 solution (pH 2.5), in the ratio of 35:65. The detection limit is 0.01 ppm. Rape, cabbage, honeydew melon, cumquat, mango and corn were each spiked with 0.05-3.0 ppm imazalil to be compared with the recovery study. The yield was 88.7-97.9% for rape, 72.5-87.4% for cabbage, 81.4-90.5% for honeydew melon, 81.9-87.2% for cumquat, 75.0-85.3% for mango, and 86.8-99.0% for corn. When the method was applied in analyzing commercial fruits and vegetables, no imazalil residue was detected in 20 selected samples.
Expanding the boundaries of ligand–target modeling by exascale calculations

Molecular simulations and molecular docking are widely used tools to investigate ligand/target interactions and in drug design. High‐performance computing (HPC) is boosting both the accuracy and predictive power of these approaches. With the advent of exascale computing, HPC may become standardly applied in many drug design campaigns and pharmacological applications. This review discusses how innovative HPC algorithms and hardware are being exploited in current simulations and docking codes, pointing also at some of the limitations of these approaches. The focus is on technical aspects which might not be all that familiar to the computational pharmacologist.
Tracking silver, gold, and titanium dioxide nanoparticles through drinking water systems by single particle - inductively coupled plasma - mass spectrometry

Single particle (SP)-ICP-MS methods were developed to characterize and quantify Ti-containing, titanium dioxide, silver, and gold NP concentration, size, size distribution and dissolved metal element concentration in surface water and treated drinking water. The effectiveness of conventional drinking water treatments (including lime softening, alum coagulation, filtration, and disinfection) to remove NPs from surface water was evaluated using six-gang stirrer jar test simulations. Six-gang stirrers were used to simulate drinking water treatments including lime softening, alum coagulation, powdered activated carbon sorption, filtration, and disinfection by free chlorine. Lime softening effectively removed most nanoparticles added. Source and drinking waters from three large drinking water treatment facilities were collected and analyzed by the SP-ICP-MS methods. Ti-containing particles and dissolved Ti were present in the river water samples, but Ag and Au were not present. The facilities were able to effectively remove most of the Ti-containing particles found in the source water.
Spectral dependences of simultaneous photogenerated evolution of H2 and CO2 from a Pt/TiO2 suspension in a 1 N H2SO4 solution

Spectral dependences of the effective quantum yield of H 2 and CO 2 evolution from a Pt/TiO 2 suspension in a 1 N H 2 SO 4 solution were measured in the quantum energy range from 2.0 to 3.6 eV. It was found that the processes of H 2 and CO 2 evolution proceeded simultaneously, and yet they exhibited different spectra. It was shown that the differences in these spectra can be due to the presence of two phases in titanium dioxide : TiO 2 with the structure of anatase and that with the structure of rutile. The high-frequency border of the spectrum that is characteristic for the hydrogen evolution is near to 3.25 eV and corresponds to the edge of the absorption of TiO 2 itself with the structure of anatase. Carbon dioxide began to evolve from suspension upon illumination by photons with an energy of ∼3 eV, i.e., at the band of absorption of TiO 2 with the structure of rutile. Long-term illumination of the suspension resulted in some reduction of the titanium dioxide surface and coke deposition. It was supposed that the hydrogen evolution observed was due to the dehydrogenation of organic impurities and coke deposition on the titanium dioxide surface.
Cardiovascular risk assessment in Community Pharmacies in Warri, Nigeria

Many apparently healthy persons have multiple risk factors for cardiovascular disease without being aware. Assessing cardiovascular risks and initiating appropriate interventions and referrals at the community pharmacy level could be lifesaving. The objective of this study was to explore cardiovascular risk assessment on community pharmacy clientele and to determine the proportion of patients with high cardiovascular risk factors. Subjects (140) were recruited from 5 community pharmacies in Warri Metropolis. Cardiovascular risks assessment was done among subjects that met the inclusion criteria. Blood pressure, total cholesterol levels, Diabetes status, age and gender were documented in a data collection form. Risk stratification was done using World Health Organization/ International Society of Hypertension WHO/ISH risk assessment chart. Data were analyzed using SPSS version 20. Subjects (116) who met the inclusion criteria were screened. About half (50.9%) were moderate users of alcohol. Majority (81.9%) of patients were physically active. Few subjects (2.6%) were tobacco users. Total cholesterol values and fasting blood sugar levels were abnormal for 12.9% and 4.3% of subjects respectively. The proportion of subjects with high cardiovascular risk was 6%. Cardiovascular risk assessment is feasible in community pharmacy setting. Only 6% of subjects were at high cardiovascular risk.
Maximizing Student Learning Outcomes When Using Business Strategy Simulation Tools: The Role of Pedagogy, Participation, and Practice (A Multi-Year Study) - Web Appendix

The use of simulations is prevalent across business schools in colleges and universities. Research has shown that they can be useful in bridging theory with practice and preparing students for “real world” employment. However, there is limited research on determining the best pedagogical approaches for using these tools in a classroom setting. In this study, two approaches to using the Capsim “Capstone” online business strategy software are explored and measured for overall effectiveness and meeting learning outcomes. Results show that the pedagogical approach matters less in determining learning success as compared to other variables including average team logins, individual login behavior, experience of the instructor in using the simulation, and the
Preventing cyberbullying through ICT-centric education: a case study

ABSTRACT Numerous studies have examined the phenomenon of bullying. The development of information and communications technology (ICT) has enabled an emerging form of bullying known as cyberbullying. This article presents a case study of an Internet-focused bullying prevention programme in a Spanish secondary school with 627 students, from a non-experimental, qualitative perspective. The data collected show an ICT-centric institutional framework that supports bullying prevention programmes. The results also indicate an institutional culture highly adapted to ICT based on teleological, psycho-pedagogical, administrative and community dimensions. This culture has favoured the development of the cyberbullying prevention programme studied in this article.
The Knowledge, Attitudes, and Practices toward Food Additives in Personnel of Isfahan University of Medical Sciences in Iran

ORIGINAL ARTICLE Background: Use of additives in food industry is of specific importance. Currently, more than 2,500 additives are added to foods to achieve the desired goals or to extend the product‟s shelf life. However, application of these substances has raised concerns about the consumers‟ health. Since public information on these substances is inadequate, promoting people‟s knowledge can play a key role in this regard. Therefore, knowledge, attitude, and practices of the personnel of Isfahan University of Medical Sciences toward food additives were evaluated. Methods: This crosssectional descriptive study included 800 participants selected randomly among the personnel of Isfahan University of Medical Sciences in Iran. The participants‟ demographic information, knowledge, attitudes, and practices were measured via a self-administered questionnaire. The relationship of participants‟ educational level, age, and gender with their knowledge, attitudes, and practices were determined. Results: The participants‟ knowledge, attitudes, and practices average scores were calculated as 30.6±1.3, 32±0.9, and 15±1.5 for food additives, respectively. Conclusion: The participants‟ knowledge, attitude, and practices were at a poor level. So, people should receive the necessary education and training in terms of food additives as well as food labels in order to prevent misinterpretations regarding food additives.
Application of long short term memory algorithm in classification electroencephalogram

Human emotion plays an important role in communication without language, and it also supports research on human behavior. In addition, electroencephalogram signals have been highly confirmed by researchers for reliability as well as ease of storage and recognition. So, the use of electroencephalogram to identify emotion signals are currently a relatively new field. Many researchers are targeting the key ideas in this research field such as signal preprocessing, feature extraction and algorithm optimization. In this paper, we aim to recognize emotion signals using Long Short Term Memory (LSTM) algorithms. Emotional signals dataset was taken from DEAP database of koelstra authors and associates to serve this research. The research will focus on accuracy and training time, and it will test different architectural types as well as the initials of LSTM. The obtained results show the 3-dimensional cubes's structure has better performance than the 2-dimensional cubes's structure. In addition, our research is also compared with other authors' studies to prove the effectiveness of the classification algorithm.
1 Conditions for Production of Composite Material 2 based on Aluminum and Carbon Nanofibers and Its 3 Physic-mechanical Properties 4

Aluminum-based metallic matrix composites reinforced by carbon nanofibers (CNF) are 13 important precursors for development of new light and ultralight materials with enhanced properties 14 and high specific characteristics. In the present work, powder metallurgy technique was applied for 15 production of composites based on reinforcement of aluminum matrices by CNFs of different 16 concentrations (0~2.5 weight%). CNFs were produced by chemical vapor deposition (CVD) and 17 mechanical activation. We determined that in situ synthesis of carbon nanostructures with subsequent 18 mechanic activation provides satisfactory distribution of nanofibers and homogeneous composite 19 microstructure. Introduction of 1 vol% of flux (0.25 NaCl + 0.25 KCl + 0.5 CaF2) during mechanic 20 activation helps to reduce the strength of the contacts between the particles. Also, better reinforcement 21 of alumina particles and strengthening the bond between CNFs and aluminum are observed due to 22 alumina film removal. Introduction of pure aluminum into mechanically alloyed powder provides the 23 possibility to control composite durability, plasticity and thermal conductivity. 24
Annually resolved sediments in the classic Clarkia lacustrine deposits (Idaho, USA) during the middle Miocene Climate Optimum

The world-renowned Miocene Clarkia paleolake in northern Idaho (USA) is closely associated with Columbia River Basalt Group volcanism. The flood basalt dammed a local drainage system to form the paleolake, which preserved a plant fossil Lagerstätte in its deposits. However, the precise age and temporal duration of the lake remain unsettled. We present the first unequivocal U-Pb zircon ages from interbedded volcanic ashes at the P-33 type location, constraining the deposition to 15.78 ± 0.039 Ma. Using micro–X-ray fluorescence and petrographic and spectral analyses, we establish the annual characteristics of laminations throughout the stratigraphic profile using the distribution of elemental ratios, mineral assemblages, and grain-size structures, as well as organic and fossil contents. Consequently, the ~7.5-m-thick varved deposit at the type location P-33 represents ~840 yr of deposition, coincident with the end of the main phase of Columbia River Basalt Group eruptions during the Miocene Climate Optimum. The timing and temporal resolution of the deposit offer a unique opportunity to study climate change in unprecedented detail during global warming associated with carbon-cycle perturbations.
Microbial food web dynamics in the oceanic Gulf of Mexico

MICHAEL R. LANDRY1,*, KAREN E. SELPH2, MICHAEL R. STUKEL3, RASMUS SWALETHORP1, THOMAS B. KELLY3, JENNIFER L. BEATTY4 AND CAMERON R. QUACKENBUSH5 scripps institution of oceanography, university of california, dan dirgo, 9500 gilman dr., la jolla, ca 92093-0227, usa, department of oceanography, university of hawaii at manoa, 1000 pope road, honolulu, hi 96822, usa, earth, ocean and atmospheric science, florida state university, 0100 academic way, tallahassee, fl 32306-4520, usa, department of biological sciences, university of southern california, 3616 trousdale parkway, los angeles, ca 90089-0371, usa and moss landing marine laboratories, san josé state university, moss landing, ca 95039, usa
Algoritmo Híbrido para o Projeto de Controladores de Sistemas de Potência

Resumo— Esse artigo apresenta um algoritmo híbrido para a solução do problema do projeto coordenado de estabilizadores de sistemas de potência. É proposto um passo adicional no Algoritmo de Otimização baseado na Ecolocalização de Morcegos com o objetivo de se fazer uma busca local através do Método do Gradiente. O procedimento de ajuste é formulado como um problema de otimização que objetiva a otimizar o amortecimento do sistema considerando um conjunto pré especificado de condições operativas.
C-reactive Protein as a Quantitative Biomarker in Female Dogs Undergoing Laparoscopic and Open Elective Ovariectomy

Background: Injury or inflammation to the animal body resulted in the initiation of the acute-phase response (APR). Many plasma proteins increase in concentration in response to inflammatory stimuli, but C- reactive protein is considered as the most suitable markers due to their rapid and substantial increase in concentration and short half-lives. The CRP response varied according to the degree of surgical trauma on 3-standardized levels indicating CRP as an inflammatory activity indicator and monitoring markers. The aim of this study was to assess CRP concentrations in female dogs undergoing laparoscopic and open elective ovariectomy. Methods: The studies were conducted on twenty clinically healthy, adult, female dogs under elective spaying. Twenty healthy bitches were randomly assigned into four groups (A, B, C and D) consisting of five animals in each group. The studies were conducted in two phases (I and II). In phase I ovariectomy had been performed in animals of groups A and B with laparoscopy whereas, in phase II ovariectomy in animals of groups C and D were done by open laparotomy. Result: The pre-treatment CRP values did not show any significant change whereas post treatment values of group B were significantly lower as compared to groups D and C. On day 4th, group D values were significantly higher than groups C, B and A. Group C values were also significantly higher than group B. The highest value in group D might be due to more surgical manipulations and post-operative infection at surgical site in the animals under this group.
Construction and Application of Customer Satisfaction Model with theService Quality of Last-Mile Delivery in Rural Areas

The backward last-mile delivery infrastructures, the greater difficulties in last-mile delivery due to the scattered residences of rural customers and the lack of logistics professionals in rural areas have emerged as the important factors hindering the improvement of the service quality of last-mile delivery in rural areas. This study combines the classic satisfaction index model and transformation of the SERVQUAL standard scale to draw up the connotations and observation variables of customer expectations, quality perception, perceived value, customer satisfaction, customer complaints and customer loyalty with the service quality of last-mile delivery in rural areas, and takes 460 permanent residents in rural areas as the research objects, then constructs and tests the customer satisfaction model of the service quality of last-mile delivery in rural areas, and deeply analyzes the relationship between customer satisfaction and its influencing factors; by constructing a twodimensional combination potential of entropy weight-satisfaction average value, the in-depth application of the model is discussed, and at the same time, it provides policy suggestions for local governments, logistics companies and other entities to improve the customer satisfaction with the service quality of last-mile delivery in rural areas. Key-Words: Last-mile delivery in rural areas, Customer satisfaction, Structural equation model, Twodimensional combination potential Received: February 18, 2021. Revised: April 2, 2021. Accepted: April 6, 2021. Published: April 12, 2021.