Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Internationalising the Student Community on Graduate Students' Global Citizenship:

This article examines the effect of internationalising the student community on graduate students’ demonstrated commitment to global citizenship at a university in Uganda. It arose from a sequential explanatory survey study. Quantitative and qualitative data were gathered from a sample of 180 graduate students, with the former analysed employing descriptive and inferential statistics, while the latter were analysed using thematic content analysis. The quantitative results revealed that an internationalised student community has a statistically significant positive effect on graduate students’ demonstrated global competence, but not on their demonstrated commitment to social responsibility. The qualitative findings produced similar results. They revealed that the presence of international students on campus coupled with graduate students’ participation in international activities such as conferences and inter-cultural activities promoted their commitment to global citizenship. These findings are in line with those of previous studies. We thus recommend that universities in Uganda and other developing countries in the Global South further internationalise their graduate student community as a strategy to promote their commitment to global citizenship.
Phi-feature agreement in syntax

Finite verb agreement is far from the only case of obligatory covariance between pairs of expressions in natural language, and it is not even the only case where the i-features of two or more expressions appear to covary. (Anaphoric binding, for example, typically involves matching of i-features between a binder and a bindee, as well.) However, whether these other phenomena do or do not supervene on the same grammatical relation responsible for i-agreement in the narrow sense is an empirical question. The current contribution will therefore focus on i-agreement in the narrow sense: its modular locus (section 2), its computational properties (sections 3–4), its interactions with nominal case (section 5), and the nature of the feature-structures it manipulates (section 6).
Effectiveness Analysis on Pilot Program for HIV Screening Test and Consultation Service for Patients Visiting the Emergency Rooms in Taiwan

In order to understand whether it is appropriate to extend HIV screening program to the sites of emergency rooms, the Taiwan CDC conducted a Pilot Program for HIV Screening Test and Consultation Service for Patients Visiting the Emergency Rooms at five hospitals, including the National Cheng Kung University Hospital, Chi Mei Hospital, Mackay Memorial Hospital in HsinChu, Kaohsiung Veterans General Hospital, and TaoYuan General Hospital of the Department of Health, during September 1, 2010 December 31, 2010. A total of 8,646 patients visiting the emergency rooms agreed to participate in the screening program, and three new HIV-positive cases were identified, with a positive rate of 0.035%, which is equivalent to that from screening test for general population. The analysis shows that the effectiveness of screening test conducted at emergency rooms in Taiwan was lower than those documented in literatures. Therefore, a routine HIV screening test at hospital emergency rooms in Taiwan is not cost-effective.
Observer-Based Method of Feature Extraction for the Fault Detection of Permanent Magnet Synchronous Motors

A R T I C L E I N F O A B S T R A C T Article history: Received: 02 October, 2020 Accepted: 30 January, 2021 Online: 10 April, 2021 This paper presents a new observer-based method which deals with the extraction of amplitude of characteristic frequencies for the fault diagnosis in permanent magnet synchronous motors (PMSM). First, a pilot survey is made to investigate the typical harmonics in the line currents of PMSM. Second, an appropriate structure of observer is formulated with the input of current signature in the time domain. By transforming into the Laplace domain, the convergence of the observer is proven. Using the proposed observer, a feature extraction method for fault detection can be introduced; in which the Park's vector module (PVM) of the line currents is selected as the signature for the feature extraction of the amplitude at the second order harmonic. Simulation and experiment of the PMSM operating in speed control mode are carried out to provide the line current data for analysis. The results show that the amplitude of second order harmonic can be calculated and on-line monitored that demonstrates the effectiveness of the proposed method.
Biodegradation kinetics of chlorophenols in immobilized‐cell reactors using a white‐rot fungus on wood chips

This research investigated the ability of wood‐chip reactors seeded with a white‐rot fungus (Phanerochaete chrysosporium) to degrade hazardous substances (4‐chlorophenol [4‐CP] and 2,4‐dichlorophenol [2,4‐DCP]). Batch‐reactor tests were conducted using 4‐CP as a model compound to evaluate the effect of carbon and nitrogen deficiencies on the ability of white‐rot fungus immobilized on wood chips to degrade 4‐CP. The white‐rot fungus degraded 4‐CP (71.1 to 83.0%) under all tested conditions including the non‐glucose and non‐nitrogen conditions. However, there are differences in the degradation percentage of 4‐CP using the different growing conditions. The degradation of 4‐CP occurs to the greatest extent in the non‐glucose/with‐nitrogen condition (15.38 ppm/h·g of specific biodegradation rate). Continuous‐flow packed‐bed reactor tests are conducted using 2,4‐DCP as a model compound to evaluate the inhibition effect of 2,4‐DCP on the biodegradation enzymes in wood‐chip reactor systems, and the inhibition effects seem to be present. The inhibition kinetics of 2,4‐DCP are successfully modeled with the mass‐balance equation of plug‐flow reactors and a substrate‐inhibition equation for the reaction rate, yielding an inhibition constant,Ki of 69.8 ppm and a maximum 2,4‐DCP concentration, [S]max, of 48.9 ppm at the highest reaction rate. The importance of these results is that the substrate‐inhibition model can be used to explain the inhibition effect of 2,4‐DCP on the biodegradation enzymes in this wood‐chip reactor system. This study points to the potential of continuous‐flow reactors using wood chips as a carbon source to degrade toxic chemicals with high‐degradation efficiency.
LITERATURE REVIEW OF MACHINE LEARNING TECHNIQUES TO ANALYSE FLIGHT DATA

: This paper analyses the increasing trend of using modern machine learning technologies to analyze flight data efficiently. Flight data offers an important insight into the operations of an aircraft. This paper reviews the research undertaken so far on the use of Machine Learning techniques for the analyses of flight data by evaluating various anomaly detection algorithms and the significance of feature selection in Flight Data Monitoring. These algorithms are compared to determine the best class of algorithms for highlighting significant flight anomalies. Furthermore, these algorithms are analyzed for various flight data parameters to determine which class of algorithms is sensitive to continuous parameters and which is sensitive to discrete parameters of flight data. The paper also addresses the ability of each anomaly detection algorithm to be easily adaptable to different datasets and different phases of flight, including take-off and landing.
Burning rates and soot propensity of isolated ethanol fuel droplets in microgravity conditions

Goal of this paper is to present a general mathematical model of evaporation and combustion of fuel droplets in microgravity conditions. The interest of ethanol as a candidate fuel or fuel additive is due to its benefits in terms of performance and pollutant reduction. Main characteristic of the proposed model is the use of a detailed reaction mechanism. Model results are compared with recent experimental data relating to the burning of ethanol droplets and to soot formation. The effects on the burning rates and soot formation exerted by the initial droplet diameter, oxygen concentration and total pressure are analyzed and discussed.
Método Dialético de Otimização Usando o Princípio da Máxima Entropia

Resumo A Biologia, a Psicologia e as Ciências Sociais estão intrinsecamente ligadas aos fundamentos do desenvolvimento de métodos e algoritmos em computação evolucionária, como fica evidente em abordagens como algoritmos genéticos, programação evolucionária e otimização por enxame de partículas. Contudo, a Filosofia ainda é vista como algo enigmático, apesar da natureza sistemática de métodos investigativos como a dialética. Neste trabalho é proposto um novo método de otimização baseado na dialética como definida pelos trabalhos de Hegel e pela Filosofia da Práxis, utilizando funções de pertinência obtidas da aplicação do princípio da máxima entropia adaptado a entropia fuzzy, para modelar as interações entre os pólos, as unidades básicas que compõem sistemas dialéticos. Para validar a proposta foram feitas diversas simulações usando funções de teste conhecidas. Este trabalho provou que o algoritmo dialético proposto pode atingir bons resultados em problemas de otimização local e global.
Energy Transfer Dynamics in Collisions of Polar and Non-polar Gases with Functionalized Self-Assembled Monolayers

Molecular beam scattering experiments are used to investigate the extent of thermal accommodation of Ne, CD4, ND3, and D2O in collisions with long chain CH3, NH2, and OH terminated self-assembled monolayers (SAMs) on gold. Surface rigidity, internal degrees of freedom of the impinging gas, and potential energy surface well depths have been explored as a way to predict the outcome of a gas-surface collision. Ne is used to assess the mechanical rigidity of the SAMs. The order of rigidity is CH3 < NH2 ~ OH. The NH2 and OH terminated SAMs are more rigid due to the intermolecular hydrogen bonding structure at the gas-surface interface. Despite the hydrogen bonding nature of the NH2 and OH terminated SAMs CD4, ND3, and D2O are extensively thermally accommodated on the surfaces, therefore surface rigidity is no solely responsible for energy transfer dynamics. It was found that the number of degrees of freedom do not predict how extensively a gas will thermally accommodate on a surface capable of hydrogen bonding. A qualitative correlation between increasing potential energy well depths and the extent of thermal accommodation has been established as a result of these scattering experiments.
A Novel Method for Detecting Targets on Inactive Radars Using an Adaptive Processing on the Ambiguity Function

In this paper a novel method for detecting targets in inactive radars is presented. In this method, the time history of cellsof the ambiguity function is used for detection. For this purpose, the cell history is considered as a random field. Then, using adaptive filter, the string time of the desired target are separated from the string time of noise and clusters in the environment. In order to evaluate the performance of the proposed method for an environment including three targets with simulated different distances and speeds, the results were compared with the other two methods at the same conditions. Based on the results obtained, this method has the ability to detect targets for SCNRs of up to -10 dB for all three values of the probability of false alarms. The obtained results also showed the superiority of the proposed method compared to other alternatives in such manner. Accordingly, the probability of detection for the proposed method at least 12.5 percent better than ACM and 8 percent better than NNTD. It also shows that for SCNRs larger than zero dB, this method has a 100% detection capability doi: 10.5829/ije.2018. 31.06c. 08
NPBench: a benchmarking suite for high-performance NumPy

Python, already one of the most popular languages for scientific computing, has made significant inroads in High Performance Computing (HPC). At the center of Python's ecosystem is NumPy, an efficient implementation of the multi-dimensional array (tensor) structure, together with basic arithmetic and linear algebra. Compared to traditional HPC languages, the relatively low performance of Python and NumPy has spawned significant research in compilers and frameworks that decouple Python's compact representation from the underlying implementation. However, it is challenging to compare language compatibility and performance among different frameworks and architectures without a standard set of benchmarks and metrics. To that end, we introduce NPBench, a set of NumPy code samples representing a large variety of HPC applications. We use NPBench to test popular NumPy-accelerating compilers and frameworks on a variety of metrics. NPBench will guide both end-users and framework developers focusing on performance and will drive further use of Python in the high-performance scientific domains.
GEMİYE KONUŞLU İNSANSIZ HAVA ARACININ HEDEFLERE

Unmanned Air Vehicles, whose defensive usage keeps on expanding, for the time being are mostly used for the purpose of reconnaissance of ground targets. Due to their higher endurance, UAVs are able to be tasked on geographically dispersed multiple ground targets where the order in which these targets will be covered turns significant in terms of mission effectiveness and efficiency. Considering the structural options UAVs provide and the ongoing acquisition projects, it is assumed that the utilization of carrier platforms to augment the effectiveness of these vehicles will gain wider use. In this study, a route optimization for a UAV, which will perform a reconnaissance mission on multiple ground targets that were dispersed over a geographical area was intended. The optimization covers the take-off and landing point determination of the UAV also.
Inhaled nasopharyngeal nitric oxide concentrations during unilateral nostril breathing – a pilot study

Objective: To assess the influence unilateral nostril breathing has on mean inhaled nasopharyngeal nitric oxide (NO) concentrations compared with unobstructed bilateral nostril breathing in individuals demonstrating a nasal cycle.Methods: After determining the patent and congested nasal sides in healthy adult volunteers (N=10), and sampling air at both nostrils, a small diameter gas sampling tube was passed along the floor of the nose into the volunteer's patent nostril, until it was stationed in the nasopharynx. Nasopharyngeal NO concentrations were then assessed during normal nasal at-rest tidal breathing during three different nasal breathing states: first both nostrils, then allocated in randomised order, patent side only, and congested side only.Results: Nasopharyngeal NO concentrations were consistently higher on both exhalation and inhalation during unilateral congested side nostril breathing, when compared with unilateral patent side nostril breathing, and breathing through both nostrils.Conclusions: During unilateral nostril breathing, inhaled nasopharyngeal NO concentrations are consistently higher on the congested side of the nose.
RendezView: An Interactive Visual Mining Tool for Discerning Flock Relationships in Social Media Data

—Social media data provide insight into people's opinions, thoughts, and reactions about real-world events. However, this data is often analyzed at a shallow level with simple visual representations, making much of this insight indeterminable. Our approach to this problem was to create a framework for visual data mining that enables users to find implicit patterns and relationships within their data, focusing particularly on flock phenomena in social media. RendezView is an interactive visualization framework that consists of three visual components: a spatiotemporal 3D map, a word cloud, and a Sankey flow diagram. These components provide individual functions for data exploration and interoperate with each other based on user interaction. The current version of RendezView can represent local topics and their co-occurrence relationships from geo-tagged Twitter messages.
Modelling the spectral induced polarization response of water-saturated sands in the intermediate frequency range (102–105 Hz) using mechanistic and empirical approaches

The intermediate frequency range 10 2 –10 5 Hz forms the transition range between the spectral induced polarization frequency domain and the dielectric spectroscopy frequency domain. Available experimental data showed that the spectral induced polarization response of sands fully saturated with water was particularly sensitive to variations of the saturating water electrical conductivity value in the intermediate frequency range. An empirical and a mechanistic model have been developed and confronted to this experimental data. This confrontation showed that the Maxwell Wagner polarization alone is not sufﬁcient to explain the observed signal in the intermediate frequency range. The SIP response of the media was modelled by assigning relatively high dielectric permittivity values to the sand particle or high effective permittivity values to the media. Such high values are commonly observed in the dielectric spectroscopy literature when entering the intermediate frequency range. The physical origin of these high dielectric permittivity values is discussed (grain shape, electromagnetic coupling), and a preliminary study is presented which suggests that the high impedance values of the non-polarizable electrodes might play a signiﬁcant role in the observed behaviour.
Cultivation of Natural Mentors to Strengthen Resiliency in Youth: A Program Theory of Youth Initiated Mentoring (YIM)

Natural mentoring relationships are organically formed supportive relationships between youth and important non-parental adults (e.g., friends, teachers, athletic coaches, extended family members) from within their existing social networks. These relationships are thought to foster positive youth development and buffer against risks, particularly those associated with the transitions that characterize adolescence. Providing youth with the opportunity to identify and engage a nonparental adult from their social network in a mentoring relationship constitutes the Youth Initiated Mentoring (YIM) approach. The current article describes the aim and context of this new approach, its target population, the intended individual and societal outcomes, and how these outcomes may be achieved. We also describe various YIM program models adapted for various target populations, specifically addressing universal, selective, and indicated preventative approaches, as well as discussing a more general user process for YIM programs. Our goal is to provide practitioners with the tools to carry out their work and to provide guidelines for researchers to test hypotheses about YIM. 3
Partitioning carbon sources in a tropical watershed (Nyong River, Cameroon) between wetlands and terrestrial ecosystems – Do CO2 emissions from tropical rivers offset the terrestrial carbon sink?

Abstract. We characterized the spatio-temporal dynamics of carbon (C) in rivers of the tropical Nyong catchment (South Cameroon). In 2016, we measured fortnightly at 6 locations along an upstream-downstream gradient from groundwater to the main stream of order 6, total alkalinity, dissolved inorganic C (DIC) used together with pH to compute pCO2, dissolved and particulate organic C (DOC and POC) and total suspended matter. Forest, groundwater had low DOC content ( 14 mg L−1) and similar DIC concentrations than the forest groundwater. Surface runoff was considered negligible in the basin due to low slopes and high infiltration capacity of the soils, making wetlands and forest groundwater the two main sources of C for surface waters. The influence of wetlands on C dynamics in rivers was significant during periods of high waters when the hydrological connectivity between surface waters and wetlands was enhanced. On annual scale, wetlands exported 60 % (15.4 ± 7.2 t C km−2 yr−1) of the total amount of C transferred laterally to surface waters, the remaining 40 % (12.1 ± 5.8 t C km−2 yr−1) being transferred from forest groundwater. Heterotrophic respiration in rivers averaged 89 mmol m−2 d−1 whereas CO2 degassing was 1260 mmol m−2 d−1, which shows that it is unlikely that the river heterotrophic respiration was the main process sustaining CO2 emission. The comparison of the hydrological export of terrestrial C via forest groundwater with the net terrestrial C sink in the Nyong watershed shows that only ~4 % of the net terrestrial C sink reach the aquatic ecosystem. The carbon mass balance of the Nyong watershed highlights that attributing to a unique terrestrial source the whole amount of riverine carbon emitted to the atmosphere and exported to the ocean and ignoring the river–wetland connectivity can lead to the misrepresentation of C dynamics in tropical watersheds.
A coaxial yarn electrode based on hierarchical MoS2 nanosheets/carbon fiber tows for flexible solid-state supercapacitors

Coaxial yarn electrodes composed of activated carbon fibers tows and MoS2 nanosheets (ACFTs/MoS2) are synthesized by a facile hydrothermal approach. The active material, hierarchical MoS2 nanosheets, delivers a high specific capacitance of 308.5 F g−1 at scan rate of 5 mV s−1. Solid-state supercapacitors (SCs) in the planar format based on the ACFTs/MoS2 yarn electrode in PVA/H3PO4 gel electrolyte show an excellent energy density of 3.76 mW h g−1 at constant current density of 0.21 A g−1, a high power density of 474.49 mW g−1 at 3.16 A g−1 and a long cycle life with a capacitance retention as high as 97.38% even after 6000 times of charging–discharging under 2.21 A g−1. Furthermore, the SCs in a planar format represent superior combination feasibility when combined in parallel or series, approaching the theoretical value. Additionally, twisting SCs made from ACFTs/MoS2 yarn electrodes show good flexibility and electrochemical stability, which maintain 97.6% of their initial capacitance after being bent to different angles. These outstanding performances can be ascribed to the high accessible surface area for the electrolyte, the short path for ion diffusion provided by the MoS2 nanosheets (NSs), as well as the effective transport channels for electrons provided by the carbon fibers. The rough surface and oxygen containing groups on the activated carbon fiber offer robust anchor sites for MoS2 NSs, which not only facilitate electron transport but also provide strong adhesion between MoS2 NSs and carbon fibers.
Fluorescent Image Reconstruction for Fiber-based Force Sensing in Shape Controlled Cell Migration using Deep Learning

Forces exerted by cells on ﬁbrous micro-environments, while being pivotal to many biological processes, are a challenge to compute within the constraint of maintaining cell shapes. While ﬂuorescent imaging serves as a robust tool for force reconstruction, it is ridden with challenges such as photo-toxicity and photo-bleaching. On the other hand, despite being a cheaper imaging technique with a simpler experimental setup, phase-contrast imaging fails to capture the cell ﬁbre interaction owing to occlusions from the opacity of cells. In this work, we use deep learning based image-to-image translation models to generate synthetic ﬂuorescent images from their phase based counterparts to thereby facilitate force reconstruction by circumventing the drawbacks of ﬂuorescent imaging. In particular, we consider multiple deep learning architectures including Pix2Pix, CycleGAN, AttentionGuidedGAN (AGGAN) as well as U-Net based auto-encoders and present both qualitative and quantitative benchmarks on their performance.