bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Polythiourethane/ZnO-Based Anti-Fouling Materials and Evaluation of the Adhesion of Staphylococcus aureus and Candida glabrata Using Single-Cell Force Spectroscopy
Authors: Klemm Sophie , Baum Martina , Qiu Haoyi , Nan Zibin , Cavalheiro Mafalda , Teixeira Miguel Cacho , Tendero Claire , Gapeeva Anna , Adelung Rainer , Dague Etienne , Castelain Mickaël , Formosa-Dague Cécile
Published: January 2021

The attachment of bacteria and other microbes to natural and artificial surfaces leads to the development of biofilms, which can further cause nosocomial infections. Thus, an important field of research is the development of new materials capable of preventing the initial adhesion of pathogenic microorganisms. In this work, novel polymer/particle composite materials, based on a polythiourethane (PTU) matrix and either spherical (s-ZnO) or tetrapodal (t-ZnO) shaped ZnO fillers, were developed and characterized with respect to their mechanical, chemical and surface properties. To then evaluate their potential as anti-fouling surfaces, the adhesion of two different pathogenic microorganism species, Staphylococcus aureus and Candida glabrata, was studied using atomic force microscopy (AFM). Our results show that the adhesion of both S. aureus and C. glabrata to PTU and PTU/ZnO is decreased compared to a model surface polydimethylsiloxane (PDMS). It was furthermore found that the amount of both s-ZnO and t-ZnO filler had a direct influence on the adhesion of S. aureus, as increasing amounts of ZnO particles resulted in reduced adhesion of the cells. For both microorganisms, material composites with 5 wt.% of t-ZnO particles showed the greatest potential for anti-fouling with significantly decreased adhesion of cells. Altogether, both pathogens exhibit a reduced capacity to adhere to the newly developed nanomaterials used in this study, thus showing their potential for bio-medical applications.
Roles of Chitosan in Green Synthesis of Metal Nanoparticles for Biomedical Applications
Authors: Phan Thi Tuong Vy , Phan Duc Tri , Cao Xuan Thang , Huynh Thanh-Canh , Oh Junghwan
Published: January 2021

Chitosan (CS) is a well-known stabilizer for metal nanoparticles in biomedical engineering. However, very few studies have explored other important roles of CS including reducing, shape-directing, and size-controlling. This review aims to provide the latest and most comprehensive overview of the roles of CS in the green synthesis of metal nanoparticles for biomedical applications. To the best of our knowledge, this is the first review that highlights these potentialities of CS. At first, a brief overview of the properties and the bioactivity of CS is presented. Next, the benefits of CS for enhancing the physicochemical behaviors of metal nanoparticles are discussed in detail. The representative biomedical applications of CS-metal nanoparticles are also given. Lastly, the review outlines the perceptual vision for the future development of CS-metal nanoparticles in the biomedicine field.
An Indirect Method of Micromagnetic Structure Estimation in Microwires
Authors: Alekhina Iuliia , Kolesnikova Valeria , Rodionov Vladimir , Andreev Nikolai , Panina Larissa , Rodionova Valeria , Perov Nikolai
Published: January 2021

The tunable magnetic properties of amorphous ferromagnetic glass-coated microwires make them suitable for a wide range of applications. Accurate knowledge of the micromagnetic structure is highly desirable since it affects almost all magnetic properties. To select an appropriate wire-sample for a specific application, a deeper understanding of the magnetization reversal process is required, because it determines the measurable response (such as induced voltage waveform and its spectrum). However, the experimental observation of micromagnetic structure of micro-scale amorphous objects has strict size limitations. In this work we proposed a novel experimental technique for evaluating the microstructural characteristics of glass-coated microwires. The cross-sectional permeability distribution in the sample was obtained from impedance measurements at different frequencies. This distribution enables estimation of the prevailing anisotropy in the local region of the wire cross-section. The results obtained were compared with the findings of magnetostatic measurements and remanent state analysis. The advantages and limitations of the methods were discussed.
The Impact of Intraspecies and Interspecies Bacterial Interactions on Disease Outcome
Authors: Baishya Jiwasmika , Bisht Karishma , Rimbey Jeanette N. , Yihunie Kiddist D. , Islam Shariful , Al Mahmud Hafij , Waller Jayc E. , Wakeman Catherine A.
Published: January 2021

The human microbiota is an array of microorganisms known to interact with the host and other microbes. These interactions can be competitive, as microbes must adapt to host- and microorganism-related stressors, thus producing toxic molecules, or cooperative, whereby microbes survive by maintaining homeostasis with the host and host-associated microbial communities. As a result, these microbial interactions shape host health and can potentially result in disease. In this review, we discuss these varying interactions across microbial species, their positive and negative effects, the therapeutic potential of these interactions, and their implications on our knowledge of human well-being.
An Efficient Method for the Genetic Transformation of Acmella oleracea L. (Spilanthes acmella Linn.) with Agrobacterium tumefaciens
Authors: Maggini Valentina , Bettini Priscilla , Firenzuoli Fabio , Bogani Patrizia
Published: January 2021

Acmella oleracea L. is an important medicinal plant, commonly known as the toothache plant. It is a rich source of secondary metabolites used for the treatment of different human disorders. The demand for Acmella oleracea L. has increased due to its putative health benefits (in terms of both biomass quantity and bioactive compound purification). In vitro plant cultures have allowed the rapid increase of raw material availability through the use of suitable regeneration and multiplication systems. On the other hand, there is a general lack of methods for Acmella genetic transformation as a promising new technological approach for the improvement of secondary metabolites. In this work, an efficient transformation protocol has been established using the Agrobacterium tumefaciens LBA4404 strain bearing the binary vector pBI121 containing the NPTII gene for the resistance to kanamycin. Plant genetic transformation has been verified by direct polymerase chain reaction and GUS assay on regenerants. Transformation efficiency has been affected by the high level of the selection agent kanamycin. To our knowledge, this is the first report on the genetic transformation of A. oleracea, paving the way to further studies to improve in vitro plant growth and secondary metabolite production.
Secondary Somatic Embryogenesis in Centaurium erythraea Rafn
Authors: Bogdanović Milica D. , Ćuković Katarina B. , Subotić Angelina R. , Dragićević Milan B. , Simonović Ana D. , Filipović Biljana K. , Todorović Slađana I.
Published: January 2021

Somatic embryogenesis (SE) is a developmental process during which plant somatic cells, under suitable conditions, produce embryogenic cells that develop into somatic embryos (se). SE is the most important method for plant propagation in vitro, having both fundamental and applicative significance. SE can be induced from different tissues and organs, but when se are used as explants, the process is recognized as secondary or cyclic SE. We induced secondary SE in Centaurium erythraea by application of 2,4-dichlorophenoxyacetic acid (2,4-D) and N-(2-chloro-4-pyridyl)-N′-phenylurea (CPPU). A medium containing 0.1 mgL−1 2,4-D and 0.25 mgL−1 CPPU was optimal in terms of the number of primary SE explants forming se, the number of well-developed se per explant, and morphological appearance of the obtained se. These concentrations allowed SE to progress through three cycles, whereas at higher concentrations of 0.2 mgL−1 2,4-D and 0.5 mgL−1 CPPU, only two cycles were achieved. Histological analysis revealed that secondary se are formed both directly and indirectly. Secondary SE readily germinated and converted into plantlets. Induction of cyclic SE contributes to the conservation efforts of this endangered medicinal plant and expands the spectrum of in vitro developmental pathways described in centaury—an emerging model in developmental biology.
Method for Measuring the Laser Field and the Opacity of Spectral Lines in Plasmas
Authors: Oks Eugene
Published: January 2021

In experimental studies of laser-plasma interactions, the laser radiation can exist inside plasma regions where the electron density is below the critical density (“underdense” plasma), as well as at the surface of the critical density. The surface of the critical density could exhibit a rich physics. Namely, the incident laser radiation can get converted in transverse electromagnetic waves of significantly higher amplitudes than the incident radiation, due to various nonlinear processes. We proposed a diagnostic method based on the laser-produced satellites of hydrogenic spectral lines in plasmas. The method allows measuring both the laser field (or more generally, the field of the resulting transverse electromagnetic wave) and the opacity from experimental spectrum of a hydrogenic line exhibiting satellites. This spectroscopic diagnostic should be useful for a better understanding of laser-plasma interactions, including relativistic laser-plasma interactions.
Tensile Strength and Structure of the Interface between a Room-Curing Epoxy Resin and Thermoplastic Films for the Purpose of Sensor Integration
Authors: Kyriazis Alexander , Kilian Riem , Sinapius Michael , Rager Korbinian , Dietzel Andreas
Published: January 2021

The article presents a study on the adhesion of thermoplastic films to a room temperature-hardening epoxy resin, which deals with an important question on sensor integration into fibre composites. By means of a morphological box, a test specimen is developed, which allows to test strength values for the adhesion of thermoplastic films to epoxy resin. Polyimide (PI), which is typically used as a carrier material for flexible sensors, is compared with the thermoplastics polyetherimide (PEI), polyethersulfone (PES) and polyamide 6 (PA6). To evaluate the spatial formation of the interface, images taken with a light microscope, fluorescence microscope and electron microscope and an energy-dispersive X-ray spectroscopy (EDX) analysis are presented. The images show that during the curing process of the epoxy resin the initially expected pronounced interphase does not form. In this respect, it is surprising that PEI achieves such a high adhesion strength even without extended interphase formation, that the failure of the test specimen occurs in the epoxy resin region at a tensile stress of 70 MPa and not at the interface between epoxy and PEI, as might initially be assumed. It is also surprising that PES exhibits the lowest adhesion strength of 5 MPa to room temperature-hardening epoxy resin, although in previous investigations it was often used as a soluble toughness modifier for epoxy resins. The tensile adhesion strength of PI to epoxy resin was found at 27 MPa and the tensile adhesion strength of PA6 to epoxy resin was found at 13 MPa. For sensor integration, the findings mean that flexible sensors on PEI substrates promise a low tendency to delaminate even in the room temperature-hardening epoxy resin used, while the other materials tested indicate an increased tendency to delaminate.
Magnetorheological Response for Magnetic Elastomers Containing Carbonyl Iron Particles Coated with Poly(methyl methacrylate)
Authors: Takahashi Daichi , Sainath Annadanam Venkata Sesha , Ikeda Junko , Budpud Kulisara , Kaneko Tatsuo , Kawai Mika , Mitsumata Tetsu
Published: January 2021

The magnetorheological response for magnetic elastomers containing carbonyl iron (CI) particles with a diameter of 6.7 μm coated with poly(methyl methacrylate) (PMMA) was investigated to estimate the diameter of secondary particles from the amplitude of magnetorheological response. Fourier-transformed infrared spectroscopy revealed that the CI particles were coated with PMMA, and the thickness of the PMMA layer was determined to be 71 nm by density measurement. The change in the storage modulus for magnetic elastomers decreased by coating and it was scaled by the number density of CI particles as ΔG~N2.8. The diameter of secondary particle of CI particles coated with PMMA was calculated to be 8.4 μm. SEM images revealed that the CI particles coated with PMMA aggregated in the polyurethane matrix.
Novel TiO2 Nanoparticles/Polysulfone Composite Hollow Microspheres for Photocatalytic Degradation
Authors: Zhang Shangying , Wang Qi , Dai Fengna , Gu Yangyang , Qian Guangtao , Chen Chunhai , Yu Youhai
Published: January 2021

Nanosized titanium oxide (TiO2) material is a promising photocatalyst for the degradation of organic pollutants, whereas the difficulty of its recycling hinders its practical application. Herein, we reported the preparation of a novel titanium oxide/polysulfone (TiNPs/PSF) composite hollow microspheres by the combination of Pickering emulsification and the solvent evaporation technique and their application for the photodegradation of methyl blue (MB). P25 TiO2 nanoparticles dispersed on the surface of PSF microspheres. The porosity, density and photoactivity of the TiNPs/PSF composite microsphere are influenced by the TiO2 loading amount. The composite microsphere showed good methyl blue (MB) removal ability. Compared with TiO2 P25, and PSF, a much higher MB adsorption speed was observed for TiNPs/PSF microspheres benefited from their porous structure and the electrostatic attractions between the MB+ and the negatively charged PSF materials, and showed good degradation efficiency. For TiNPs/PSF composite microsphere with density close to 1, a 100% MB removal (10 mg L−1) within 120 min at a catalyst loading of 2.5 g L−1 can be obtained under both stirring and static condition, due to well dispersing of TiO2 particles on the microsphere surface and its stable suspending in water. For the non-suspended TiNPs/PSF composite microsphere with density bigger than 1, the 100% MB removal can be only obtained under stirring condition. The removal efficiency of MB for the composite microspheres retained 96.5%, even after 20 cycles. Moreover, this composite microsphere also showed high MB removal ability at acidic condition. The high catalysis efficiency, excellent reusability and good stability make this kind of TiNPs/PSF composite microsphere a promising photocatalyst for the water organic pollution treatment.
Nonuniform Heating Method for Hot Embossing of Polymers with Multiscale Microstructures
Authors: Chang Chih-Yuan
Published: January 2021

The hot embossing of polymers is one of the most popular methods for replicating high-precision structures on thermoplastic polymer substrates at the micro-/nanoscale. However, the fabrication of hybrid multiscale microstructures by using the traditional isothermal hot embossing process is challenging. Therefore, in this study, we propose a novel nonuniform heating method for the hot embossing of polymers with multiscale microstructures. In this method, a thin graphene-based heater with a nonuniform heating function, a facility that integrates the graphene-based heater and gas-assisted hot embossing, and a roll of thermoplastic film are employed. Under appropriate process conditions, multiscale polymer microstructure patterns are fabricated through a single-step hot embossing process. The quality of the multiscale microstructure patterns replicated is uniform and high. The technique has great potential for the rapid and flexible fabrication of multiscale microstructure patterns on polymer substrates.
Chaotic Search Based Equilibrium Optimizer for Dealing with Nonlinear Programming and Petrochemical Application
Authors: Mousa Abd Allah A. , El-Shorbagy Mohammed A. , Mustafa Ibrahim , Alotaibi Hammad
Published: January 2021

In this article, chaotic search based constrained equilibrium optimizer algorithm (CS-CEOA) is suggested by integrating a novel heuristic approach called equilibrium optimizer with a chaos theory-based local search algorithm for solving general non-linear programming. CS-CEOA is consists of two phases, the first one (phase I) aims to detect an approximate solution, avoiding being stuck in local minima. In phase II, the chaos-based search algorithm improves local search performance to obtain the best optimal solution. For every infeasible solution, repair function is implemented in a way such that, a new feasible solution is created on the line segment defined by a feasible reference point and the infeasible solution itself. Due to the fast globally converging of evolutionary algorithms and the chaotic search’s exhaustive search, CS-CEOA could locate the true optimal solution by applying an exhaustive local search for a limited area defined from Phase I. The efficiency of CS-CEOA is studied over multi-suites of benchmark problems including constrained, unconstrained, CEC’05 problems, and an application of blending four ingredients, three feed streams, one tank, and two products to create some certain products with specific chemical properties, also to satisfy the target costs. The results were compared with the standard evolutionary algorithms as PSO and GA, and many hybrid algorithms in the same simulation environment to approve its superiority of detecting the optimal solution over selected counterparts.
How to Erase Quantum Monogamy?
Authors: Mardari Ghenadie
Published: January 2021

The phenomenon of quantum erasure exposed a remarkable ambiguity in the interpretation of quantum entanglement. On the one hand, the data is compatible with the possibility of arrow-of-time violations. On the other hand, it is also possible that temporal non-locality is an artifact of post-selection. Twenty years later, this problem can be solved with a quantum monogamy experiment, in which four entangled quanta are measured in a delayed-choice arrangement. If Bell violations can be recovered from a “monogamous” quantum system, then the arrow of time is obeyed at the quantum level.
The Russian Symbolist Viacheslav Ivanov on Aesthetic Experience as Religious
Authors: Bychkov Victor
Published: January 2021

Viacheslav Ivanov (1866, Moscow–1949, Rome) is one of the most prominent Russian symbolist poets and a leading theorist of symbolism at the beginning of the twentieth century. The article demonstrates that Ivanov understood art (and, more broadly, aesthetic experience) as one of the most effective forms of contact between the human being and the spiritual world, as well as with its first cause. Ivanov distinguishes between three “aesthetic principles” of the universe, which all together constitute “the beautiful”—the sublime, beauty, and the chaotic—and links them to the three stages of being of the artist in the process of creative activity. The artist first passes through the chthonian, subconscious stage of demonic chaos. Next, artists undergo the process of ascent into the ideal, spiritual sphere, where they gain experience, which cannot be expressed in words. After that, the process of the descent of the artist towards the earth takes place, where artists attempt to express in the form of artistic symbols the experience that they have acquired. Ivanov sees the artistic symbol as a materially given structure, which nevertheless cannot be described in words. This structure not only expresses a spiritual essence, but also really and energetically manifests it. Hence, Ivanov sees the creator of high, symbolic art (“realist symbolism”) as an artist-theurge (theurgy is the art of the future, of the future mystery on the basis of a synthesis of the arts that receives divine assistance), who contributes to the augmentation of being. For the recipient, the artistic symbol is anagogical (from the Greek ἀναγογή, “leading up”). It leads one up from the real world to a more real one (a realibus ad realiora). According to Ivanov, both the symbol and its content, myth, are of divine origin; they are “embodiments of the divine truth.” Therefore, high art is one of the principal ways of one’s ascent to spiritual reality by means of sensory reality.
Acknowledgment to Reviewers of Robotics in 2020
Authors:   Robotics Editorial Office
Published: January 2021

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Robotics maintains its standards for the high quality of its published papers [...]
Achieving High Reliability in Data Acquisition
Authors: Šećerov Ivan , Popov Srđan , Sladojević Srđan , Milin Dragana , Lazić Lazar , Milošević Dragan , Arsenović Daniela , Savić Stevan
Published: January 2021

An urban environment defines a specific micro-climate which directly affects the quality of life in urbanized areas and often has a negative impact on urban populations. Phenomena like urban heat and surface heat islands are direct products of an urban lifestyle. Urban meteorological networks (UMNs) are a tool that can help to better understand and analyze the current situation and make the right decisions about future urban development. Deployed to monitor and record different objects and their states inside urban areas, UMNs build a long-term meteorological data time series database. The most commonly used systems for achieving this goal include wireless sensor networks (WSNs). This paper presents a combined experience in deploying three different WSN systems. During seven years of research in this field, the authors have recognized the importance of data reliability in data acquisition. More importantly, due to the lack of research addressing the reliability of the data received from WSNs by the core segment of the server (processes used in receiving, validating, parsing, and storing data into a database instance), the received data are used in scientific studies without questioning their reliability. To determine the possibility of shifting information provided by the data measured from sensor networks before it is stored in a desired form of database, this paper proposes a highly reliable socket server model. The model is built with high reliability and performance in mind and it includes three major processes, which use a combination of signals and control messages to pass information about their states. A case study is performed using high-end hardware, running a Linux operating system stressed to its limits. Repetition testing revealed inconsistency in the information provided by the operating system to the application layer, which could lead to the loss of information about short-term and rarely occurring monitored objects. The results lead to the conclusion that there is a clear need for a higher level of data reliability in the process of data acquisition by UMNs. The proposed socket server should fill this gap within the server’s core segment.
Spatial Distribution of Soil Moisture in Mongolia Using SMAP and MODIS Satellite Data: A Time Series Model (2010–2025)
Authors: Natsagdorj Enkhjargal , Renchin Tsolmon , Maeyer Philippe De , Darkhijav Bayanjargal
Published: January 2021

Soil moisture is one of the essential variables of the water cycle, and plays a vital role in agriculture, water management, and land (drought) and vegetation cover change as well as climate change studies. The spatial distribution of soil moisture with high-resolution images in Mongolia has long been one of the essential issues in the remote sensing and agricultural community. In this research, we focused on the distribution of soil moisture and compared the monthly precipitation/temperature and crop yield from 2010 to 2020. In the present study, Soil Moisture Active Passive (SMAP) and Moderate Resolution Imaging Spectroradiometer (MODIS) data were used, including the MOD13A2 Normalized Difference Vegetation Index (NDVI), MOD11A2 Land Surface Temperature (LST), and precipitation/temperature monthly data from the Climate Research Unit (CRU) from 2010 to 2020 over Mongolia. Multiple linear regression methods have previously been used for soil moisture estimation, and in this study, the Autoregressive Integrated Moving Arima (ARIMA) model was used for soil moisture forecasting. The results show that the correlation was statistically significant between SM-MOD and soil moisture content (SMC) from the meteorological stations at different depths (p < 0.0001 at 0–20 cm and p < 0.005 at 0–50 cm). The correlation between SM-MOD and temperature, as represented by the correlation coefficient (r), was 0.80 and considered statistically significant (p < 0.0001). However, when SM-MOD was compared with the crop yield for each year (2010–2019), the correlation coefficient (r) was 0.84. The ARIMA (12, 1, 12) model was selected for the soil moisture time series analysis when predicting soil moisture from 2020 to 2025. The forecasting results are shown for the 95 percent confidence interval. The soil moisture estimation approach and model in our study can serve as a valuable tool for confident and convenient observations of agricultural drought for decision-makers and farmers in Mongolia.
A Regional Maize Yield Hierarchical Linear Model Combining Landsat 8 Vegetative Indices and Meteorological Data: Case Study in Jilin Province
Authors: Zhu Bingxue , Chen Shengbo , Cao Yijing , Xu Zhengyuan , Yu Yan , Han Cheng
Published: January 2021

The use of satellite remote sensing could effectively predict maize yield. However, many statistical prediction models using remote sensing data cannot extend to the regional scale without considering the regional climate. This paper first introduced the hierarchical linear modeling (HLM) method to solve maize-yield prediction problems over years and regions. The normalized difference vegetation index (NDVI), calculated by the spectrum of the Landsat 8 operational land imager (OLI), and meteorological data were introduced as input parameters in the maize-yield prediction model proposed in this paper. We built models using 100 samples from 10 areas, and used 101 other samples from 34 areas to evaluate the model’s performance in Jilin province. HLM provided higher accuracy with an adjusted determination coefficient equal to 0.75, root mean square error (RMSEV) equal to 0.94 t/ha, and normalized RMSEV equal to 9.79%. Results showed that the HLM approach outperformed linear regression (LR) and multiple LR (MLR) methods. The HLM method based on the Landsat 8 OLI NDVI and meteorological data could flexibly adjust in different regional climatic conditions. They had higher spatiotemporal expansibility than that of widely used yield estimation models (e.g., LR and MLR). This is helpful for the accurate management of maize fields.
An Adaptive Measurement System for the Simultaneous Evaluation of Frequency Shift and Series Resistance of QCM in Liquid
Authors: Fort Ada , Panzardi Enza , Vignoli Valerio , Tani Marco , Landi Elia , Mugnaini Marco , Vaccarella Pietro
Published: January 2021

In this paper, a novel measurement system based on Quartz Crystal Microbalances is presented. The proposed solution was conceived specifically to overcome the measurement problems related to Quartz Crystal Microbalance (QCM) applications in dielectric liquids where the Q-factor of the resonant system is severely reduced with respect to in-gas applications. The QCM is placed in a Meacham oscillator embedding an amplifier with adjustable gain, an automatic strategy for gain tuning allows for maintaining the oscillator frequency close to the series resonance frequency of the quartz, which is related in a simple way with the physical parameters of interest. The proposed system can be used to monitor simultaneously both the series resonant frequency and the equivalent electromechanical resistance of the quartz. The feasibility and the performance of the proposed method are proven by means of measurements obtained with a prototype based on a 10-MHz AT-cut quartz.
A Robust Lane Detection Model Using Vertical Spatial Features and Contextual Driving Information
Authors: Liu Wenbo , Yan Fei , Zhang Jiyong , Deng Tao
Published: January 2021

The quality of detected lane lines has a great influence on the driving decisions of unmanned vehicles. However, during the process of unmanned vehicle driving, the changes in the driving scene cause much trouble for lane detection algorithms. The unclear and occluded lane lines cannot be clearly detected by most existing lane detection models in many complex driving scenes, such as crowded scene, poor light condition, etc. In view of this, we propose a robust lane detection model using vertical spatial features and contextual driving information in complex driving scenes. The more effective use of contextual information and vertical spatial features enables the proposed model more robust detect unclear and occluded lane lines by two designed blocks: feature merging block and information exchange block. The feature merging block can provide increased contextual information to pass to the subsequent network, which enables the network to learn more feature details to help detect unclear lane lines. The information exchange block is a novel block that combines the advantages of spatial convolution and dilated convolution to enhance the process of information transfer between pixels. The addition of spatial information allows the network to better detect occluded lane lines. Experimental results show that our proposed model can detect lane lines more robustly and precisely than state-of-the-art models in a variety of complex driving scenarios.
Internal Cylinder Identification Based on Different Transmission of Longitudinal and Shear Ultrasonic Waves
Authors: Liu Wen-Bei , Yan Wen-Bo , Liu Huan , Tong Cheng-Guo , Fan Ya-Xian , Tao Zhi-Yong
Published: January 2021

We have built a Fizeau fiber interferometer to investigate the internal cylindrical defects in an aluminum plate based on laser ultrasonic techniques. The ultrasound is excited in the plate by a Q-switched Nd:YAG laser. When the ultrasonic waves interact with the internal defects, the transmitted amplitudes of longitudinal and shear waves are different. The experimental results show that the difference in transmission amplitudes can be attributed to the high frequency damping of internal cylinders. When the scanning point is close to the internal defect, the longitudinal waves attenuate significantly in the whole defect area, and their amplitude is always smaller than that of shear waves. By comparing the transmitted amplitudes of longitudinal and shear waves at different scanning points, we can achieve a C scan image of the sample to realize the visual inspection of internal defects. Our system exhibits outstanding performance in detecting internal cylinders, which could be used not only in evaluating structure cracks but also in exploring ultrasonic transmission characteristics.
Acknowledgment to Reviewers of Separations in 2020
Authors:   Separations Editorial Office
Published: January 2021

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Separations maintains its standards for the high quality of its published papers [...]
Exploiting the Low Doppler Tolerance of Noise Radar to Perform Precise Velocity Measurements on a Short Set of Data
Authors: Wasserzier Christoph
Published: January 2021

The extraction of velocity information from radar data by means of the Doppler effect is the driving factor for the investigations presented in this paper. A method for the quantification of the Doppler tolerance in continuous emission (CE) noise radar is introduced, addressing a current lack in literature within the frame of CE noise radars. It is shown that noise radar is highly sensitive to the Doppler effect, an issue that often results in a low Doppler tolerance especially for long coherent integration intervals. In general, the Doppler sensitivity is considered as a drawback but, in this paper, along with the absence of range-Doppler coupling in noise radar, it is turned into an advantage allowing for a very precise Doppler estimation. This new signal processing approach for Doppler extraction is detailed and its feasibility is proven on the basis of experimental data. The presented method requires much less data, i.e., target illumination time, than conventional Doppler analyses and, therefore, is beneficial in terms of radar resource management.
Application of Bayesian Hierarchical Finite Mixture Model to Account for Severe Heterogeneous Crash Data
Authors: Rezapour Mahdi , Ksaibati Khaled
Published: January 2021

Various techniques have been proposed in the literature to account for the observed and unobserved heterogeneity in the crash dataset. Those include techniques such as the finite mixture model (FMM), or hierarchical techniques. The FMM could provide a flexible framework by providing various distributions for various individual observations. However, the shortcoming of the standard FMM is that it cannot account for the heterogeneity in a single model’s structure, and the data needs to be disaggregated to its resultant subsamples. That would result in a loss of information. On the other hand, a second plausible approach is to use a hierarchical technique to account for the data heterogeneities, being based on various explanatory variables, and based on engineering intuition. In the context of traffic safety, while some researchers, for instance, considered the seasonality, some others considered highway systems or even genders. However, a question might arise: are the same observations within a same hierarchy homogenous? Are all the observations within different clusters heterogeneous? Additionally, how about other variables? Although the results in the literature highlighted accounting for the structure of the dataset would result in an acceptable interclass correlation (ICC), and also result in a significant improvement in terms of reduction in the deviance information criteria (DIC), there is no justification why to use those specific hierarchies and reject others. A more reasonable approach is to let the algorithm come up with the best distributions based on the provided parameters and accommodate observations to the related mixtures. In that approach those observations that belong to various subjective hierarchies, e.g., winter versus summer, but found to be similar would be set in a similar cluster. That is why we proposed this methodology to implement an objective hierarchy of the FMM to be used for the hierarchical technique. Here, due to the label switching problem of the FMM in the context of Bayesian, the FMM first conducted in the context of maximum likelihood estimates, and then assigned observations were used for the final analysis. The results of the DIC highlighted a significant improvement in the model fit compared with a subjective assigned hierarchy based on highway system. Additionally, although the subjective model resulted in a very low ICC due to so much heterogeneity in the dataset, the implemented methodology resulted in an acceptable ICC (0.3), justifying the use of hierarchy. The Bayesian hierarchical finite mixture model (BHFMM) is one of earliest application in traffic safety studies. The findings of this study have important implications for the future studies to account for a higher heterogeneity of the crash dataset based on the distance of observations to each cluster.
Moving from the Margins: Towards an Inclusive Urban Representation of Older People in Zimbabwe’s Policy Discourse
Authors: Makore Busisiwe Chikomborero Ncube , Al-Maiyah Sura
Published: January 2021

Population ageing has become a major global demographic shift but perhaps less noticeable in the Global South. Zimbabwe, like many African countries, is experiencing and will continue to witness an increase in older age, hence questioning its readiness to handle such change. Ageing in Zimbabwe is currently occurring in the context of increasing poverty, political unrest, changing family structures, and weakening infrastructures. Despite this, Zimbabwe is committed to promoting change and betterment for its citizens through adherence to international agendas and national development strategies. However, the first step towards the realisation of an inclusive urban environment begins with a fair representation of the various actors and social groups. This review paper is aimed at examining the representation of Zimbabwe’s older people, a subject that has rarely been the focus of critical analysis, concentrating on the political discourse in urban development programmes. A sample of 45 international and national policy documents published post-2002, was carefully selected and inspected to determine the level of presence of older people using discourse analysis. The findings reveal that in the context of the efforts made towards a Zimbabwe that is inclusive of all citizens, the idea of older persons as subjects of rights and active participants has yet to truly gain sufficient currency. There is a dominance of a one-dimensional perspective across the majority of the publications, with older people constructed as “dependent”, “vulnerable” and “passive”, overseeing vital contributions to society. A realistic and more empowering representation of this social group, showing them as active caregivers rather than passive recipients is therefore a necessity if Zimbabwe is to fulfil its vision of inclusivity.
Intercultural Education and Sustainable Development. A Crucial Nexus for Contribution to the 2030 Agenda for Sustainable Development
Authors: Catarci Marco
Published: January 2021

Over the last few years, research in the educational field has conducted specific and broad analysis of intercultural education, with a solid theoretical basis and an advanced body of empirical research. However, the link between an intercultural approach and the theme of sustainable development, which has recently become an important aspect of international educational policies, remains less explored. The publication of the 2030 Agenda for Sustainable Development and the definition of the goals for the millennium has made it necessary to deepen this link. The article aims to expand on the connection between intercultural education and sustainable development, highlighting the potential for the intercultural approach to contribute to reaching the objectives of the 2030 Agenda. An intercultural perspective is key to achieving the aims of ensuring quality education, combating exclusion and gaining a perspective of conscious and critical global citizenship.
Technology Makes the Heart Grow Fonder? A Test of Media Multiplexity Theory for Family Closeness
Authors: Balayar Bhoj , Langlais Michael
Published: January 2021

Technology can be helpful for family relationships. Media multiplexity theory illustrates that the more technological connections (i.e., multimodality) an individual has with their family members, the stronger that relationship. Yet, this theory assumes that spending time face to face (FtF) is equitable to multimodality for relationship quality. The goal of this study is to examine the impact of online and offline interactions for the quality of family relationships. Data are from undergraduate students completing an online survey (N = 154). Results reveal that spending time FtF is better for the quality of relationships for one parent, but not the other. Although FtF was not significantly different for grandparent and sibling relationships, participants felt closer to siblings when they texted. Correlational analyses revealed that individuals scoring high in collectivism report that spending time FtF is associated with higher relationship closeness and love, particularly with parents, but not other family members. These results provide some evidence for the importance of spending quality time with family members, particularly for those who identify as collectivistic.
Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South Korea
Authors: Kang Wooseok , Park Narang , Heo Wookjae
Published: January 2021

The purpose of this study was to analyze the current status and needs of infrastructure for basic life in Gwangjin district in Seoul, South Korea. In this study, we examined whether the national minimum standard was satisfied in terms of the infrastructure for basic life in the district. Specifically, we employed and compared the empirical utilities of two types of geographic datasets, 100-square-meter grids and 500-square-meter grids. The study compares the prediction accuracy between two types of geographic datasets by employing multivariate linear estimation using influential factors. The evaluation methods for prediction accuracy were to compare the root mean of squared error (RMSE) and mean of absolute error (MAE) from each dataset. The results were as follows: (a) the dataset with 100-square-meter grids showed more significant associations among influential factors and the infrastructure than the dataset with 500-square-meter grids; (b) the 100-square-meter grids showed better prediction accuracy compared with the 500-square-meter grids; and (c) in terms of basic level local government, it was more powerful to use the datasets with 100-square-meter grids for finding blind sides of infrastructure than the datasets with 500-square-meter grids. The results imply that it is necessary to adjust urban policy by using appropriate datasets, such as 100-square-meter grids.
A Qualitative Study of Black College Women’s Experiences of Misogynoir and Anti-Racism with High School Educators
Authors: Leath Seanna , Ware Noelle , Seward Miray D. , McCoy Whitney N. , Ball Paris , Pfister Theresa A.
Published: January 2021

A growing body of literature highlights how teachers and administrators influence Black girls’ academic and social experiences in school. Yet, less of this work explores how Black undergraduate women understand their earlier school experiences, particularly in relation to whether teachers advocated for their educational success or participated in discriminatory practices that hindered their potential. Using consensual qualitative research (CQR) methods, the present semi-structured interview study explored the narratives of 50 Black undergraduate women (mean age = 20 years) who reflected on their experiences with teachers and school administrators during high school. Five discriminatory themes emerged, including body and tone policing, exceptionalism, tokenization, cultural erasure in the curriculum, and gatekeeping grades and opportunities. Three anti-racist themes emerged, including communicating high expectations and recognizing potential, challenging discrimination in the moment, and instilling racial and cultural pride. Our findings highlight the higher prevalence of discriminatory events compared to anti-racist teacher practices, as well as how the women’s high school experiences occurred at the intersection of race and gender. The Authors discuss the need to incorporate gender and sexism into discussions of anti-racist teacher practices to address Black girls’ experiences of misogynoir. We hope our findings contribute to educational initiatives that transform the learning landscape for Black girls by demonstrating how educators can eliminate pedagogical practices that harm their development.
Reinterpreting the SDGs: Taking Animals into Direct Consideration
Authors: Torpman Olle , Röcklinsberg Helena
Published: January 2021

The United Nations Agenda 2030 contains 17 sustainable development goals (SDGs). These goals are formulated in anthropocentric terms, meaning that they are to be achieved for the sake of humans. As such, the SDGs are neglecting the interests and welfare of non-human animals. Our aim in this paper was to ethically evaluate the assumptions that underlie the current anthropocentric stance of the SDGs. We argue that there are no good reasons to uphold these assumptions, and that the SDGs should therefore be reconsidered so that they take non-human animals into direct consideration. This has some interesting implications for how we should understand and fulfil the pursuit of sustainability in general. Most noticeably, several SDGs—such as those regarding zero hunger (SDG 2), good health and wellbeing (SDG 3), clean water and sanitation (SDG 6)—should be achieved for animals as well. Moreover, the measures we undertake in order to achieve the SDGs for humans must also take into direct account their effects on non-human animals.
The Structural Relationship between Exercise Frequency, Social Health, and Happiness in Adolescents
Authors: Cheon HangUk
Published: January 2021

The aim of this study was to verify the relations between exercise frequency, social relationships, sense of community, and subjective happiness among adolescents. The data analysed in the study were from the 11th Korean Child–Adolescent Happiness Index conducted by the Korean Bang Jeong Hwan Foundation in 2019. The data consisted of questionnaire responses from 5094 middle-school and high-school students. Data were analysed using descriptive statistics, exploratory factor analysis, reliability analysis, confirmatory factor analysis, model validity and fit analysis, path analysis, and effects analysis. The results showed that exercise frequency was associated with social relationships, sense of community, and subjective happiness in adolescents, and a comprehensive examination of relations between exercise frequency, a part of social relationships, sense of community, and subjective happiness was confirmed. It can be concluded that adolescents who participate in frequent exercise become more socially adept, which could in turn make them happier. Policymakers and stakeholders, including educational institutions and parents, should therefore promote adolescent participation in exercise and sports.
Automatic Segmentation and Measurement of Infantile Hemangioma
Authors: Oprisescu Serban , Ciuc Mihai , Sultana Alina
Published: January 2021

Infantile hemangiomas (IHs) are a type of vascular tumors that affect around 10% of newborns. The measurement of the lesion size and the assessment of the evolution is done manually by the physician. This paper presents an algorithm for the automatic computation of the IH lesion surface. The image scale is computed by using the Hough transform and the total variation. As pre-processing, a geometric correction step is included, which ensures that the lesions are viewed as perpendicular to the camera. The image segmentation is based on K-means clustering applied on a five-plane image; the five planes being selected from seven planes with the use of the Karhunen-Loeve transform. Two of the seven planes are 2D total variation filters, based on symmetrical kernels, designed to highlight the IH specific texture. The segmentation performance was assessed on 30 images, and a mean border error of 9.31% was obtained.