Miracle-dz/UniFAR-FTUs huggingface dataset:
Cost Effective and Easily Configurable Indoor Navigation System

With the advent of Industry 4.0, the trend of its implementation in current factories has increased tremendously. Using autonomous mobile robots that are capable of navigating and handling material in a warehouse is one of the important pillars to convert the current warehouse inventory control to more automated and smart processes to be aligned with Industry 4.0 needs. Navigating a robot’s indoor positioning in addition to finding materials are examples of location-based services (LBS), and are some major aspects of Industry 4.0 implementation in warehouses that should be considered. Global positioning satellites (GPS) are accurate and reliable for outdoor navigation and positioning while they are not suitable for indoor use. Indoor positioning systems (IPS) have been proposed in order to overcome this shortcoming and extend this valuable service to indoor navigation and positioning. This paper proposes a simple, cost effective and easily configurable indoor navigation system with the help of an optical path following, unmanned ground vehicle (UGV) robot augmented by image processing and computer vision deep machine learning algorithms. The proposed system prototype is capable of navigating in a warehouse as an example of an indoor area, by tracking and following a predefined traced path that covers all inventory zones in a warehouse, through the usage of infrared reflective sensors that can detect black traced path lines on bright ground. As metionded before, this general navigation mechanism is augmented and enhanced by artificial intelligence (AI) computer vision tasks to be able to select the path to the required inventory zone as its destination, and locate the requested material within this inventory zone. The adopted AI computer vision tasks that are used in the proposed prototype are deep machine learning object recognition algorithms for path selection and quick response (QR) detection.
Chemical Composition and Biological Activities of Essential Oils from Fresh Vismia guianensis (Aubl.) Choisy and Vismia cayennensis (Jacq.) Pers. Leaves

The Vismia Vand. genus encompasses many species indigenous to the Amazon rain forest where they are popularly known as “Lacre” bark and leaves are widely employed by locals to treat dermatophytoses. The aim of this study was to investigate the chemical composition of essential oils (EOs) extracted from the aerial parts of the species Vismia guianensis (Aubl.) Choisy and Vismia cayennensis (Jacq.) Pers. and to assess their antimicrobial activity against the bacteria Staphylococcus aureus Rosenbach 1884 and Escherichia coli (Migula 1895) Castellani and Chalmers 1919 as well as the fungi Candida albicans (C.P. Robin) Berkhout 1923 and Candida parapsilosis (Ashford) Langeron & Talice 1932. The analysis of the chemical composition of the essential oil extracted from V. guianensis leaves (EOVg) indicated 46 components, of which three sesquiterpenes predominated, namely: (E)-caryophyllene (10.40%), α-copaene (29.45%), and (E)-nerolidol (24.06%). As to the essential oil from V. cayennensis leaves (EOVc), 61 components were identified, of which two oxygenated sesquiterpenes stood out as the main components, namely, germacrone (25.42%) and curzerene (25.29%). EOVg exhibited Minimum Inhibitory Concentration (MIC) of 1.56 µg/mL against the yeast C. parapsilosis whereas EOVc was active against the bacteria E. coli and S. aureus as well as the yeast C. parapsilosis. The results obtained in this study strongly recommend further research on the essential oils in question with a view to isolating and identifying the components responsible for their observed antimicrobial activities.
Single-shot wavefront characterization of high topological charge extreme-ultraviolet vortex

We present an experimental intensity and wavefront characterization of the infrared vortex driver as well as the extreme ultraviolet vortex obtained through high harmonic generation in an extended generation medium. In a loose focusing geometry, an intense vortex beam obtained through phase-matched absorption-limited high harmonic generation in a 15 mm long Argon filled gas-cell permits single-shot characterization of the vortex structure. Moreover, our study validates the multiplicative law of momentum conservation even for such an extended generation medium.
Impact of Knowledge, Attitude and Practice on Medication errors and Safety Improvement in Pharmacy Departments of King Saud University Medical City Riyadh Saudi Arabia

Background: The current study was premeditated to evaluate the attitude, knowledge and practice of the pharmacy employees (including interns and trainees) dealing with medical practice towards medical errors and adverse drug reaction reports. Methods:The study is a quantitative, descriptive, cross-sectional one with the influence of medication-error reporting, focused on pharmacy department of King Saud University Medical City, Riyadh, Saudi Arabia using the Likert-scale survey. The research population was 167 pharmacy employees, (including interns, and trainees) from King Saud University Medical City. The legalized items connected to knowledge, attitude and practices (KAP) survey was given to each member. Results:Majority of the total sample size (n=167) are pharmacists, managers, lead pharmacists, pharmacist-in-charge, or staff pharmacist by 74.3 %, where 15.6 % are pharmacy technicians, 7.8 % are pharmacy students interns/externs and 2.4 % other workers. Positive responses were highest in teamwork within the pharmacy employee (87.3% vs. 81.6%), staff training and skills within the pharmacy employee (86.35% vs. 79.25%), physical space and environment in the pharmacy (83.8% vs. 73.6%). Lower responses were found in response to mistakes (79.75% vs. 74.4%) compared to community pharmacy database report (AHRQ, 2019). Conclusion:The findings indicate that ratings on documenting mistakes (reporting)as perceived by pharmacy employee are at par with the community pharmacy elsewhere. The weakest dimension identified was mistakes (reporting) having the lowest positive response with a mean score of 3. This denotes a low level of agreement according to Likert scale confirming that is the dimension needing improvement.
Comparative Analysis of Derivatization Reagents for Catecholamines and Amino Acids

We compared four derivatization reagents to analyze catecholamines and amino acids by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. 2,4,6-Trimethylpyrylium tetrafluoroborate (TMPy), 2,4-diphenyl-pyranylium tetrafluoroborate (DPP-TFB), 4-(anthracen-9-yl)-2-fluoro-1-methylpyridin-1-ium iodide (FMP-10), and triphenyl pyrilium (TPP) were used as derivatization reagents that can specifically modify primary amines or hydroxy groups in target molecules. Three derivatization reagents, not including TPP, reacted with all target molecules. The derived catecholamines dopamine and L-DOPA, and the amino acids GABA and glycine, were efficiently ionized in comparison with non-derivatized targets. Comparative analysis indicated that TMPy and FMP-10 produced general increases in signal-to-noise ratios (S/N), whereas DPP and TPP produced specific increases in the S/N of GABA and DA. Notably, TMPy is a small molecule that efficiently reacts with target molecules due to the absence of high bulk and steric hinderance.
Assessment of traffic congestion with high-resolution remote sensing data and deep convolution neural network

Abstract In this study, high resolution (HR) images, GIS and deep convolution neural network (DCNN) are used for assessment of traffic congestion. A DCNN architecture comprises one convolution layer, two pooling layers and a five-layer fully connected neural network (FCNN) evaluated for identifying vehicles in a movable window in HR images. A simple mathematical method is followed for changing the scale and orientation of the movable window to optimally mask and measure the area of vehicles. A formula is appraised to compute the traffic density using the estimated vehicles and road areas. A threshold is used to estimate traffic congestion from the measured traffic density. The method is validated by applying on World View-2 pan-sharpened multispectral images having spatial resolution 0.46 m. In comparison to CNN and ResNet-18, the proposed approach achieves a quite promising accuracy (99%) and needs less training and processing time for measuring traffic congestion in HR images.
Effects of parasites and predators on nociception: decreases analgesia reduces overwinter survival in root voles (Rodentia: Cricetidae)

Growing evidence suggests that parasite-infected prey is more vulnerable to predation. However, the mechanism underlying this phenomenon is obscure. In small mammals, analgesia induced by environmental stressors is a fundamental component of the defensive repertoire, promoting defensive responses. Thus, the reduced analgesia may impair the defensive ability of prey and increase their predation risk. This study aimed to determine whether coccidia infection increases the vulnerability to predation in root voles, Microtus oeconomus (Pallas, 1776), by decreased analgesia. Herein, a predator stimulus and parasitic infection were simulated in the laboratory via a two-level factorial experiment, then, the vole nociceptive responses to an aversive thermal stimulus were evaluated. Further, a field experiment was performed to determine the overwinter survival of voles with different nociceptive responses via repeated live trapping. The coccidia-infected voles demonstrated reduced predator-induced analgesia following exposure to predator odor. Meanwhile, pain-sensitive voles had lower overwinter survival than pain-inhibited voles in enclosed populations throughout the duration of the experiment. Our findings suggest that coccidia infection attenuates predator-induced analgesia, resulting in an increased vulnerability to predation.
Modelling the Influence of Evaporation on Residual Chlorine in Water Storage Tanks Using CFD

Water storage tanks are usually utilized in water distribution systems (WDS) to meet the water demand fluctuations. Chlorine is the most common disinfectant used to disinfect water supplies. However, variations in the rate of chlorine decay in these storage tanks are one of the greatest limiting factors in ensuring adequate water treatment process and giving guarantee to its efficiency. These variations could be due to some inadequately tested mechanisms of chlorine reactions in bulk fluid, chlorine reactions with storage tank walls, and natural evaporation. This study presents Computational Fluid Dynamics (CFD) modelling approach to assess the influence of evaporation on residual chlorine in water storage tanks. Findings indicate that an increase in the evaporation rate accelerates the rate at which residual chlorine is lost. It is concluded that temperature is the main factor influencing evaporation, which in turn causes the disappearance of residual chlorine within the water storage tanks.
Are They Different in Their Relationship Perceptions? Cross-Cultural Comparison between U.S. and Turkish Preschoolers

ABSTRACT In this study, we worked with both Turkish and U.S. samples to reveal how cultural influences might manifest themselves in the context of child-teacher relationships from children’s perspectives. There were 243 preschoolers and 26 classrooms included in the U.S. sample. In the Turkish sample, 211 preschool children from 41 classrooms participated. Data were obtained via interviews and analyzed based on thematic analysis method. Three main categories were identified as positive, negative, and neutral relationship perception. In the Turkish sample, the frequency of the negative relationship perception of children toward their teachers was found to be much higher than positive and neutral relationship perceptions. In the U.S. sample, the positive relationship perception of children was found to be higher than negative and neutral relationship perceptions. Neutral relationship perception was found to be more frequently expressed by children in the U.S. sample. This is one of the leading studies giving an opportunity to hear children’s voices about their relationship perceptions with their teachers, specifically with a cross-cultural viewpoint.
SLSS Gamification as an E-Commerce Model in China

ABSTRACT Digital/virtual gift purchasing and giving (gifting thereafter) is a business model that has emerged in the context of the social live streaming service (SLSS). In this study, we argue that both SLSS and its gifting model are largely established upon the application of game and game-like design elements and principles in the non-game environment – a process known as gamification. The system and content qualities of SLSS gamification exercise activating effects on users’ intrinsic and extrinsic motivations for gifting behavior – a transactional process that can serve as a novel model for the electronic commerce (E-Commerce) industry to leverage customers’ transactional behaviors. Built upon the gamification literature, this study develops a research model to investigate SLSS gamification and its motivating effects on users’ gifting behaviors. The model is validated using a cross-sectional field survey of 697 SLSS users. The theoretical and practical implications as well as limitations and future research are discussed in the Chinese E-Commerce context.
Multiphasic Study of Fluid-Dynamics and the Thermal Behavior of a Steel Ladle during Bottom Gas Injection Using the Eulerian Model

In this work, the fluid dynamic and thermal behavior of steel was analyzed during argon gas stirring in a 140-t refining ladle. The Eulerian multiphase mathematical model was used in conjunction with the discrete ordinates (DO) thermal radiation model in a steel-slag-argon system. The model was validated by particle image velocimetry (PIV) and the analysis of the opening of the oil layer in a physical scale model. The effect of Al2O3 and Mg-C as a refractory in the walls was studied, and the Ranz-Marshall and Tomiyama models were compared to determine the heat exchange coefficient. The results indicated that there were no significant differences between these heat exchange models; likewise, the radiation heat transfer model adequately simulated the thermal behavior according to plant measurements, finding a thermal homogenization time of the steel of 2.5 min for a gas flow of 0.45 Nm3·min−1. Finally, both types of refractory kept the temperature of the steel within the ranges recommended in the plant; however, the use of Al2O3 had better heat retention, which would favor refining operations.
Influence of Freezing–Thawing Cycle on Water Dynamics of Turbot Flesh Assessed by Low-Field Nuclear Magnetic Resonance and Magnetic Resonance Imaging

Abstract Turbot is a valuable commercial species due to its high nutrient content. Moisture is an important indicator of meat spoilage. This study elucidated distinctive water dynamics in turbot flesh in the freezing–thawing process by nondestructive low-field nuclear magnetic resonance (LF-NMR) and magnetic resonance imaging (MRI) techniques. T2 relaxation spectra were utilized to describe the mobility and content of different types of water. Principal component analysis (PCA) revealed a clear discrimination of various freezing–thawing cycles. T1- and T2-weighted MRI provided further visualization of internal information for turbot flesh. Microscopic examination clearly identified protein denaturation and structural shrinkage. Furthermore, NMR parameters and conventional physicochemical parameters of color, shear force and thiobarbituric acid-reactive substances showed good correlations. To sum up, the study revealed that LF-NMR and MRI are promising techniques to portray the relationship between the water dynamics and changes of turbot quality properties during the freezing–thawing process.
Past and Future of Humanomics

Paolo Silvestri interviews Deirdre Nansen McCloskey on the occasion of her latest book, Bettering Humanomics: A New, and Old, Approach to Economic Science (2021). The interview covers her personal and intellectual life, the main turning points of her journey and her contributions. More specifically, the conversation focuses on McCloskey’s writings on the methodology and rhetoric of economics, her interdisciplinary ventures into the humanities, the Bourgeois Era trilogy with its history of the ‘Great Enrichment’, her liberal political commitments, and the value and meaning of liberty, equality, and solidarity. Finally, the conversation returns to McCloskey’s ‘humanomics’ approach: an economics with the humans left in.
New model for estimating geometric tortuosity of variably saturated porous media using 3D synchrotron microcomputed tomography imaging

Tortuosity has a significant impact on flow and transport characteristics of porous media and plays a major role in many applications such as enhanced oil recovery, contaminant transport in aquifers, and fuel cells. Most analytical and theoretical models for determining tortuosity have been developed for ideal systems with assumptions that might not be representative of natural porous media. In this paper, geometric tortuosity was directly determined from three-dimensional (3D) tomography images of natural unconsolidated sand packs with a wide range of porosity, saturation, grain size distribution, and morphology. One hundred and thirty natural unconsolidated sand packs were imaged using 3D monochromatic and pink-beam synchrotron micro-computed tomography imaging. Geometric tortuosity was directly determined from the 3D images using the centroids of the connected paths in the flow direction of the media, and multivariate nonlinear regression analysis was adopted to develop a simple practical model to predict tortuosity of variably saturated natural unconsoli-dated porous media. Wetting phase saturation was found to provide a good estimate of relative tortuosity with an 𝑅 2 value of .
Item Parameter Estimation in Multistage Designs: A Comparison of Different Estimation Approaches for the Rasch Model

There is some debate in the psychometric literature about item parameter estimation in multistage designs. It is occasionally argued that the conditional maximum likelihood (CML) method is superior to the marginal maximum likelihood method (MML) because no assumptions have to be made about the trait distribution. However, CML estimation in its original formulation leads to biased item parameter estimates. Zwitser and Maris (2015, Psychometrika) proposed a modified conditional maximum likelihood estimation method for multistage designs that provides practically unbiased item parameter estimates. In this article, the differences between different estimation approaches for multistage designs were investigated in a simulation study. Four different estimation conditions (CML, CML estimation with the consideration of the respective MST design, MML with the assumption of a normal distribution, and MML with log-linear smoothing) were examined using a simulation study, considering different multistage designs, number of items, sample size, and trait distributions. The results showed that in the case of the substantial violation of the normal distribution, the CML method seemed to be preferable to MML estimation employing a misspecified normal trait distribution, especially if the number of items and sample size increased. However, MML estimation using log-linear smoothing lea to results that were very similar to the CML method with the consideration of the respective MST design.
Investigation on amitraz, coumaphos and thymol concentrations in honey produced by Slovenian beekeepers in 2020

A survey on concentrations of veterinary drug residues amitraz, coumaphos and thymol in honey, produced in year 2020 by Slovenian beekeepers, was conducted. 100 samples were analysed: 22 from organic and 78 from conventional production, with two analytical methods. In method for determination of coumaphos and thymol samples were extracted with acetone, petroleumether and dichlorometane. In method for determination of amitraz and its degradation products, samples were hydrolisated with HCl and NaOH, extractied with n-hexane and derivatisated with heptafluorobutyric anhydride. Determination in both methods was performed with gas chromatograph coupled with mass spectrometer. Measured concentrations of amitraz, coumaphos and thymol were in the range of 0.01-0.12 mg kg-1, 0.02-0.06 mg kg-1 and 0.08-0.17 mg kg-1, respectively. In 61 % of samples analysed no residues of amitraz, thymol and coumaphos were found. Data obtained were compared with the data from literature. Chronic and acute exposure were calculated for consumers. Maximum chronic exposure for amitraz and thymol was 0.1 % and 0.05 % of acceptable daily intake, respectively. Maximum acute exposure for amitraz and thymol was 4 % and 0.8 % of acute reference dose, respectively
Simultaneous analysis of mycotoxins in corn flour using LC/MS-MS combined with a modified QuEChERS procedure

Abstract The present study was developed to simultaneously quantify different mycotoxins including zearalenone (ZEA), T2-toxin, aflatoxin B1 (AFB1), deoxynivalenol (DON), and ochratoxin A (OTA) in 30 and 10 corn flour samples collected from local gristmill corn in Ardabil province and local markets in Tehran, respectively. A modified method QuEChERS (quick, easy, cheap, effective, rugged, and safe) in combination with an LC-MS/MS technique was used for sample preparation and measuring the levels of mycotoxins, respectively. Spiked calibration curves based on external and internal standards were used to overcome matrix effects and were reported as linear between 2 and 50 ng g−1 for aflatoxin B1, T-2 toxin, ochratoxin A; 50 and 1250 ng g−1 for zearalenone; and 75 and 1800 ng g−1 for deoxynivalenol. With the aid of spike calibration curves and acidic condition, the absorption of OTA by primary, secondary amine was reduced, and consequently, the percentage of recoveries was improved (in the range of 92.98–103.8). AFB1, OTA, and ZEA were detected and quantified in 23 (76.6%), 6 (20%), and 14 (46%) of 30 samples, with average contamination of 154.1 ng g−1, 25 ng g−1, and 358.7 ng g−1, respectively. The co-occurrence of AFB1 + ZEA and AFB1 + OTA + ZEA was noted in 20% and 23% of corn samples, respectively. The measured level of contamination for DON and T-2 toxin of corn flour samples did not exceed the maximum tolerated level. Moreover, the estimation of dietary intake of AFB1, OTA, ZER, DON, and T2-toxin were 5.8, 1.1, 32.1, 5.58, and 0.06 ng per kg body weight per day, respectively.
An Analysis of Moodle Acceptance for Students in SMPK2 PENABUR Using Unified Theory of Acceptance and Use of Technology Model

The synergy of combining globalization with new technology has had dramatic learning impacts. Teachers and Students need to work together to successfully implement Moodle as one of learning technologies. Author needs to determine factors that are important to use Moodle. UTAUT was created based on the conceptual and empirical similarities across TAM, TAM2 and TAM3 models. UTAUT model attempts to explain how individual differences influence technology use. Structural Equation Modelling (SEM) is then used to assess the reliability and validity of the model measures. Exploratory Research is conducted in order to determine the nature of the problem and is not intended to provide conclusive evidence. With Uncontrolled Quota Sampling method, respondents filled Likert-scale questions. Analysis of a Moment Structures (AMOS) is used analyse the data using SEM. All hypotheses is verified through different set of experiments. UTAUT is acceptable of analysing respondents' acceptance in using Moodle. Each construct uniquely affects the output, therefore different strategies can be implemented based on respondents' characteristics. Performance Expectancy is important for Students.