Miracle-dz/UniFAR-FTUs huggingface dataset:
MULTIAGR: A Technique for Aggregating Multivariate Networks

Data analysts and researchers in domains ranging from biology to electrical engineering are using multivariate networks (MVNs) to study the relationships and topology between individual data points and their associated attributes to develop new insights about the relationships and properties in their network data. To visually represent MVNs, two methods are commonly used: 1) Node-Link diagram representation 2) Adjacency Matrix representation. In order to visualize MVN data using these meth-ods, data analysts and researchers perform a series of network wrangling operations to reshape their data to visually analyze a particular question of interest. This process requires familiarity with data wrangling tools such as Python, R, or Excel which presents a barrier to those unfamiliar with these tools and the operations needed to visualize particular features of an MVN dataset. Currently, there are limited available tools that enable users to perform network wrangling operations concurrently with visualizations for multivariate network analysis. In this thesis, we explore a proof of concept technique for the aggregation data wrangling operation on the adjacency matrix representation of an MVN. We develop a new visual aggregation method inspired by PivotGraph [25], called MultiAggr, for aggregating an adjacency matrix representation of an MVN using categorical node attributes.
A (Mostly) Symbolic System for Monotonic Inference with Unscoped Episodic Logical Forms

We implement the formalization of natural logic-like monotonic inference using Unscoped Episodic Logical Forms (ULFs) by Kim et al. (2020). We demonstrate this system’s capacity to handle a variety of challenging semantic phenomena using the FraCaS dataset (Cooper et al., 1996). These results give empirical evidence for prior claims that ULF is an appropriate representation to mediate natural logic-like inferences.
The Wear Behavior of Various Monolithic Ceramics after Wear Simulation against Human Enamel.

Purpose: To evaluate and compare the surface roughness (SR), weight loss and volume loss of three monolithic ceramics; monolithic zirconia functional explore (f.explore), lithium disilicate glass ceramic (IPS.e. max CAD), and lithium silicate (Obsidian) and their wear effect on the natural enamel. Materials and Methods Twenty four ceramic discs and twenty four natural tooth antagonists were used. Samples were divided according to ceramic materials into 3 groups (n=8). Group I: f.explore, Group II: Obsidian, and Group III: IPS e.max CAD. SR, weight loss and volume loss of the discs and the enamel were verified before and after exposing the specimens to chewing simulator. Digital and Scanning electron microscopic evaluations were used. Results: statistical differences in the SR changes among all groups were non-significant. The Obsidian antagonist cusp recorded the highest roughness followed by f.explore, whereas, e.max recorded the lowest value. The greatest mean material weight loss was recorded in the e.max group, followed by f.explore, whereas, the lowest was recorded for Obsidian group. The difference between the groups was statistically significant. The greatest mean antagonist cusp weight loss was recorded for f.explore followed by Obsidian, while the lowest antagonist weight loss was recorded in e.max group. The difference between the groups was statistically significant as indicated by ANOVA test (p=<0.0001<0.05). The greatest mean material volume loss was recorded in e. max followed by f.explore, whereas, Obsidian recorded the lowest value. The difference between the groups was statistically significant (p<0.05) as indicated by one way ANOVA test, Pair-wise Tukey’s post-hoc test showed non-significant (p>0.05) difference between (f.explore and Obsidian) groups. The greatest mean antagonist cusp volume loss was recorded in f.explore followed by e.max whereas Obsidian antagonist group was recorded the lowest value. The difference between the groups was statistically significant (p< 0.05) as indicated by one way ANOVA test. Pair-wise Tukey’s post-hoc test showed non-significant (p>0.05) difference between (e.max and Obsidian) groups. Conclusions: Obsidian is more wear resistant than e.max and f.explore and produced the least wear in opposing enamel.
Whey and its valorization using Biorefinary: A review

Whey is a dairy product, which was thought to be less valuable and was used as a feed for animals or as a source of surplus. In view of that, in overall world, more than 145 million tons of whey is produced, every year, the need for fresh ways to use whey can be esteemed. In current years, numerous studies have been shown about the significance of the properties and nutritional value of whey and its ingredients. Whey is disposed of in the trenches without any effective treatment, which raises the environmental issues. Another use of whey has been used to decrease the adverse effect that is produced on the environment. These uses are creation of relatively inexpensive raw materials, generation of energy and the extraction of macromolecules used in the industries. The integral use of waste at the bottom of the biorefinery scheme foreshadows another potential usage of the generated waste. The main purpose of this review is to elaborate the use of biorefinery for commercially available nutrients in the milk whey.
Reason Explanation for Encouraging Behaviour Change Intention

The demand for intelligent virtual advisors in our rapidly advancing world is rising and, consequently, the need for understanding the reasoning process to answer why a particular piece of advice is provided to the user is directly increasing. Personalized explanation is regarded as a reliable way to improve the user’s understanding and trust in the virtual advisor. So far, cognitive explainable agents utilize reason explanation by referring to their own mental state (beliefs and goals) to explain their own behaviour. However, when the explainable agent plays the role of a virtual advisor and recommends a behaviour for the human to perform, it is best to refer to the user’s mental state, rather than the agent’s mental state, to form a reason explanation. In this paper, we are developing an explain-able virtual advisor (XVA) that communicates with the user to elicit the user’s beliefs and goals and then tailors its advice and explains it according to the user’s mental state. We tested the proposed XVA with university students where the XVA provides tips to reduce the students’ study stress. We measured the impact of receiving three different patterns of tailored explanations (belief-based, goal-based, and belief&goal-based explanation) in terms of the students’ intentions to change their behaviours. The results showed that the intention to change is not only related to the explanation pattern but also to the user context, the relationship built with the agent, the type of behaviour recommended and the user’s current intention to do the behaviour.
High-Frequency Radar Cross Section of Ocean Surface for an FMICW Source

The frequency-modulated interrupted continuous waveform (FMICW) has been widely used in remotely sensing sea surface states by high-frequency ground wave radar (HFGWR). However, the radar cross section model of the sea surface for this waveform has not yet been presented. Therefore, the first- and second-order cross section models of the sea surface about this waveform are derived in this study. The derivation begins with the general electric field equations. Subsequently, the FMICW source is introduced as the radar transmitted signal to obtain the FMICW-incorporated backscattered electric field equations. These equations are used to calculate range spectra by Fourier transforming. Therefore, Fourier transformation of the range spectra calculated from successive sweep intervals gives the Doppler spectra or the power spectral densities. The radar cross section model is obtained by directly comparing the Doppler spectra with the standard radar range equation. Moreover, the derived first- and second-order radar cross section models for an FMICW source are simulated and compared with those for a frequency-modulated continuous waveform (FMCW) source. Results show that the cross section models for the FMICW and FMCW cases have different analytical expressions but almost the same numerical results.
Role of defects comprise of antidot, Boron/Nitride doping, and uniaxial strain on the electronic/transport properties of GNR, and CNT based RTD devices

Silicon technology has been the main driving force for miniaturizing electronic device dimensions to reduce cost and improve performance. However, Silicon industry is reaching to fundamental limits that size shrinking trend cannot be continued. Hence, alternative low dimensional materials such as Graphene nanoribbons (GNRs) and Carbon nanotubes (CNTs) have attracted great amount of attention to be used in the future electronic devices. Although, GNRs and CNTs carry promising electronic and transport characteristics, additional flexibility and control over fundamental properties like band gap level is highly desirable. In this thesis, three kinds of defects comprise of antidots, Boron Nitride (BN) doping, and uniaxial strain are used to modify intrinsic properties of GNRs and CNTs. Using Tight Binding (TB) with accompany of Non-equilibrium Green Function (NEGF), it is found that pristine properties of AGNR and ZCNT such as band gap can be modulated upon introduction of periodic antidot, BN defect topologies. Next, novel ZCNT RTD platform is designed by mean of defects, showing potential applications of defected ZCNT in fundamental electronic components such as RTDs. In addition, role of uniaxial strain on the performance of two AGNR RTD platforms is examined. Width-modified and field-modified AGNR RTD platforms go under both local and whole-body uniaxial strain. The analysis manifests that Peak to Valley Ratio (PVR) might be totally lost if imposed whole-body strain is strong enough. However, local strain can either totally damage the PVR or improve it up to 7 times, depending on the type of strain and utilized platform. As a result, AGNR RTDs may not be considered as the ideal candidates for the flexible electronics since their properties are subject to intense variation upon mechanical deformation. This mechanically dependent performance of AGNR RTDs would be promising in design of motion-based sensors.
Experimental study of turbulent Bluff-Body flames stability by simultaneous high speed flame imaging and Particle Image Velocimetry

Development of innovative combustion regimes improving energy efficiency and limiting pollutant emissions requires better knowledge of the limits of turbulent flame stability and of the physical phenomena controlling them. The present work is focused on the description and the quantification of intermittent phenomena occurring in non-premixed turbulent flames generated by a Bluff-Body burner. The central jet of methane and the annular co-axial air flow are separated by a cylindrical Bluff-Body with a large blockage ratio. The aim is to generate a recirculation zone in the wake of the Bluff-Body in order to induce a partial mixing of reactants with trapped combustion products close to the burner exit. In such configuration, the modes of stabilization of turbulent flames are often controlled by intermittent unsteady phenomena in the recirculation zone which are complex and still poorly understood. Their study requires the ability to make time-resolved measurements by the use of high-speed optical and laser diagnostics. For this purpose, high speed flame imaging (1 kHz) is performed for three operating conditions. For a constant central methane jet velocity (i.e. constant thermal power), the variation of annular air velocity allows us to cover different flames modes from a fully stabilized turbulent flame to the limit of flame blow-out. The typical structure of the turbulent flame consists in two adjacent parts: a torus flame stabilized in the recirculation zone followed by a jet-like flame developing from the end of the recirculation zone. Time-resolved flame imaging allows to reveal the occurrence of intermittent ejections of reactive pockets from the recirculation zone to the base of the main jet-like flame, ensuring its stabilization. Image processing of time-series is performed to evaluate the characteristic frequency of this periodic ejection and its variation with the annular air flow velocity. Time-series of instantaneous velocity fields in the flames are obtained by 5 kHz Particle Image Velocimetry (PIV). Their analyses show the original structure of the flow downstream the Bluff-body burner, consisting in a highly turbulent internal recirculation zone surrounded by the centripetal annular air flow and pierced by the methane central jet. Comparison between high speed flame imaging and PIV measurements allow to determine correlations between the periodic burning pockets ejection and some features of the instantaneous velocity fields in this region, in order to fully describe this physical phenomenon controlling the stabilization of the turbulent flame.
The New Mittag-Leffler Function and Its Applications

Department of Mathematics, University of Sargodha, Sargodha, Pakistan Department of Mathematics, Prince Sultan University, Riyadh, Saudi Arabia Department of Medical Research, China Medical University, Taichung 40402, Taiwan Department of Computer Science and Information Engineering, Asia University, Taichung 40402, Taiwan Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan Department of Mathematics, College of Arts and Sciences, Prince Sattam Bin Abdulaziz University, Wadi Aldawaser, Saudi Arabia
Discrete element model of cement-based materials by additive manufacturing

DEM is a very useful tool for the study of the mechanical properties of granular materials, such as compressive strength or wear. Numerical modelling of granular materials can be used to study the microscopic behaviour of rocks and similar materials (such as concretes, ceramic materials and different composite materials). These materials can be simulated as particles with an interaction of bonding between them.
Transport of Acetylene Through a Liquid-Gas Interface Measured by Wavelength Modulation Spectroscopy

In the process of building a real time, optical sensor system, for remote monitoring of the operational state of high-voltage transformers, the response time of the sensor head has to be predicted. This response time depends on the rate of transport of molecules through a liquid-gas interface in the sensor head. In this work, a simple model is used to analyze and evaluate the permeation properties of the interface. Based on experimental results for the quantification of acetylene –– one of the key indicator molecules in the insulating oil –– by wavelength modulation spectroscopy in the near infrared, the response time is obtained from the system as well as the correlation between concentrations in the gas and in the liquid phases. This characterization allows developing optimization methodologies of the sensor system.
Microwave single-scattering properties of non-spheroidal raindrops

Abstract. Falling raindrops undergo a change in morphology as they grow in size and the fall speed increases. This change can lead to significant effects in passive and active microwave remote sensing measurements, typically in the form of a polarization signal. Because previous studies generally only considered either passive or active measurements and a limited set of frequencies, there exist no general guidelines on how and when to consider such raindrop effects in scientific and meteorological remote sensing. In an attempt to provide an overview on this topic, this study considered passive and active remote sensing simultaneously and a wider set of frequencies than in previous studies. Single-scattering property (SSP) data of horizontally oriented raindrops were calculated using the T-matrix method at a large set of frequencies (34 in total). The shapes of the raindrops were calculated assuming an aerodynamic equilibrium model, resulting in drops with flattened bases. The SSP data are published in an open-access repository in order to promote the usage of realistic microphysical assumptions in the microwave remote sensing community. Furthermore, the SSPs were employed in radiative transfer simulations of passive and active microwave rain observations, in order to investigate the impact of raindrop shape upon observations and to provide general guidelines on usage of the published database. Several instances of noticeable raindrop shape-induced effects could be identified. For instance, it was found that the flattened base of equilibrium drops can lead to an enhancement in back-scattering at 94.1 GHz of 1.5 dBZ at 10 mm h−1, and passive simulations showed that shape-induced effects on measured brightness temperatures can be at least 1 K.
BRAT1 depletion impairs DNA damage repair in glioblastoma cell lines

Glioblastoma (GBM) is the most malignant primary brain tumor in adults. This is partly due to the presence of so-called glioma stem-like cells (GSCs). Previous work from us showed that after combination treatment of GSCs with Arsenic Trioxide and Gossypol, the protein breast cancer type 1 susceptibility protein (BRCA1)-associated Ataxia telangiectasia mutated (ATM)-activator 1 (BRAT1) was one of the most downregulated proteins. This protein is largely undescribed, but it has been shown to interact with ATM, BRCA1 and DNA-dependent kinase, catalytic subunit (DNAPKcs) during DNA damage repair. Here, we aim to analyze the radio-sensitizing effect of BRAT1 depletion on differentiated GBM cells and GSCs. We show that BRAT1 1) is needed for effective DNA repair after irradiation, 2) knockdown sensitizes GBM cells to radiation treatment and 3) plays a role in BRCA1 recruitment to DNA damage sites. Future experiments will lead to a deeper understanding of the mechanism of enhanced radio-resistance in GSCs.
Factors Influencing Employees’ Job Motivation: a Case Study of Small and Medium Enterprises in Dong Nai Province

The research explores the factors affecting employees' job motivation in small and medium enterprises in Dong Nai province from June 2019 to June 2020. The results of multiple linear regression analysis showed that there are five factors including the following elements: relationships in the organization; interesting job; Salary, bonus, and benefits; Training and promotion and assessment of job performance affects the working motivation of employees in small and medium-sized enterprises in Dong Nai province with the significance of 5%. In addBesidesstudy results were processed from SPSS 20.0, Amos software. Estimated parameters of the model by the least least-squared with a significance level of 1%. The results are also significant scientific evidence for researchers and policymakers at small and medium enterprises in Dong Nai province to apply research results to human resource development in the future. Based on the five-factor test results, the author proposed the priority governance implications that the author suggested in order of priority, respectively, interesting work, performance evaluation, organization, salary, bonus and welfare regime, and training and promotion.
Advanced Biosensing towards Real-Time Imaging of Protein Secretion from Single Cells

Protein secretion of cells plays a vital role in intercellular communication. The abnormality and dysfunction of cellular protein secretion are associated with various physiological disorders, such as malignant proliferation of cells, aberrant immune function, and bone marrow failure. The heterogeneity of protein secretion exists not only between varying populations of cells, but also in the same phenotype of cells. Therefore, characterization of protein secretion from single cell contributes not only to the understanding of intercellular communication in immune effector, carcinogenesis and metastasis, but also to the development and improvement of diagnosis and therapy of relative diseases. In spite of abundant highly sensitive methods that have been developed for the detection of secreted proteins, majority of them fall short in providing sufficient spatial and temporal resolution for comprehensive profiling of protein secretion from single cells. The real-time imaging techniques allow rapid acquisition and manipulation of analyte information on a 2D plane, providing high spatiotemporal resolution. Here, we summarize recent advances in real-time imaging of secretory proteins from single cell, including label-free and labelling techniques, shedding light on the development of simple yet powerful methodology for real-time imaging of single-cell protein secretion.
A study of bacterial pathogens associated with diarrhoea in children under 2 years in Ile-Ife, Nigeria

Diarrhoea, a major contributor to high mortality in children may be caused by an array of bacterial, viral or parasitic pathogens acting individually or synergistically. This study identified the bacterial pathogens associated with diarrhoea in children aged 0-24 months, established the frequency of diarrhoea caused by each pathogen encountered in diarrhoea and determined the antibiotic resistance pattern of the children's faecal isolates obtained to some commonly used antibiotics in the study environment. A total of 107 children within the age range 0-24 months presenting with diarrhoea and 115 apparently healthy children were recruited into this study. Stool samples or rectal swabs were collected and cultured using standard microbiological procedures. Recovered isolates were tested against commonly used antibiotics using disc diffusion method. The isolation of enteric pathogens was found to be significantly (p<0.0001) higher among diarrhoeal children. Campylobacter spp. was the most frequently isolated enteric pathogen among diarrhoeal (17.8%) and apparently healthy (16.5%) children. There was no significant (p > 0.05) difference in the isolates recovered from both diarrhoeal and control subjects. The isolates were found to be multiply resistant to all the antibiotics tested. However, the incidence of resistance to commonly-used antibiotics was found to be less than 50%.