bluuebunny/crossref_metadata_2025 huggingface dataset:
Simultaneous Raman and Infrared Spectroscopy of Stable Isotope Labelled Escherichia coli
Authors: Lima Cassio , Muhamadali Howbeer , Goodacre Royston
Published: May 2022

We report the use of a novel technology based on optical photothermal infrared (O-PTIR) spectroscopy for obtaining simultaneous infrared and Raman spectra from the same location of the sample allowing us to study bacterial metabolism by monitoring the incorporation of 13C- and 15N-labeled compounds. Infrared data obtained from bulk populations and single cells via O-PTIR spectroscopy were compared to conventional Fourier transform infrared (FTIR) spectroscopy in order to evaluate the reproducibility of the results achieved by all three approaches. Raman spectra acquired were concomitant with infrared data from bulk populations as well as infrared spectra collected from single cells, and were subjected to principal component analysis in order to evaluate any specific separation resulting from the isotopic incorporation. Similar clustering patterns were observed in infrared data acquired from single cells via O-PTIR spectroscopy as well as from bulk populations via FTIR and O-PTIR spectroscopies, indicating full incorporation of heavy isotopes by the bacteria. Satisfactory discrimination between unlabeled (viz. 12C14N), 13C14N- and 13C15N-labeled bacteria was also obtained using Raman spectra from bulk populations. In this report, we also discuss the limitations of O-PTIR technology to acquire Raman data from single bacterial cells (with typical dimensions of 1 × 2 µm) as well as spectral artifacts induced by thermal damage when analyzing very small amounts of biomass (a bacterium tipically weighs ~ 1 pg).
Silicone-Textile Composite Resistive Strain Sensors for Human Motion-Related Parameters
Authors: Di Tocco Joshua , Lo Presti Daniela , Rainer Alberto , Schena Emiliano , Massaroni Carlo
Published: May 2022

In recent years, soft and flexible strain sensors have found application in wearable devices for monitoring human motion and physiological parameters. Conductive textile-based sensors are good candidates for developing these sensors. However, their robust electro-mechanical connection and susceptibility to environmental factors are still an open challenge to date. In this work, the manufacturing process of a silicone-textile composite resistive strain sensor based on a conductive resistive textile encapsulated into a dual-layer of silicone rubber is reported. In the working range typical of biomedical applications (up to 50%), the proposed flexible, skin-safe and moisture resistant strain sensor exhibited high sensitivity (gauge factor of −1.1), low hysteresis (maximum hysteresis error 3.2%) and ease of shaping in custom designs through a facile manufacturing process. To test the developed flexible sensor, two applicative scenarios covering the whole working range have been considered: the recording of the chest wall expansion during respiratory activity and the capture of the elbow flexion/extension movements.
Personalised Gait Recognition for People with Neurological Conditions
Authors: Ingelse Leon , Branco Diogo , Gjoreski Hristijan , Guerreiro Tiago , Bouça-Machado Raquel , Ferreira Joaquim J. ,   The CNS Physiotherapy Study Group
Published: May 2022

There is growing interest in monitoring gait patterns in people with neurological conditions. The democratisation of wearable inertial sensors has enabled the study of gait in free living environments. One pivotal aspect of gait assessment in uncontrolled environments is the ability to accurately recognise gait instances. Previous work has focused on wavelet transform methods or general machine learning models to detect gait; the former assume a comparable gait pattern between people and the latter assume training datasets that represent a diverse population. In this paper, we argue that these approaches are unsuitable for people with severe motor impairments and their distinct gait patterns, and make the case for a lightweight personalised alternative. We propose an approach that builds on top of a general model, fine-tuning it with personalised data. A comparative proof-of-concept evaluation with general machine learning (NN and CNN) approaches and personalised counterparts showed that the latter improved the overall accuracy in 3.5% for the NN and 5.3% for the CNN. More importantly, participants that were ill-represented by the general model (the most extreme cases) had the recognition of gait instances improved by up to 16.9% for NN and 20.5% for CNN with the personalised approaches. It is common to say that people with neurological conditions, such as Parkinson’s disease, present very individual motor patterns, and that in a sense they are all outliers; we expect that our results will motivate researchers to explore alternative approaches that value personalisation rather than harvesting datasets that are may be able to represent these differences.
Estimation of Soil Salt Content and Organic Matter on Arable Land in the Yellow River Delta by Combining UAV Hyperspectral and Landsat-8 Multispectral Imagery
Authors: Sun Mingyue , Li Qian , Jiang Xuzi , Ye Tiantian , Li Xinju , Niu Beibei
Published: May 2022

Rapid and large-scale estimation of soil salt content (SSC) and organic matter (SOM) using multi-source remote sensing is of great significance for the real-time monitoring of arable land quality. In this study, we simultaneously predicted SSC and SOM on arable land in the Yellow River Delta (YRD), based on ground measurement data, unmanned aerial vehicle (UAV) hyperspectral imagery, and Landsat-8 multispectral imagery. The reflectance averaging method was used to resample UAV hyperspectra to simulate the Landsat-8 OLI data (referred to as fitted multispectra). Correlation analyses and the multiple regression method were used to construct SSC and SOM hyperspectral/fitted multispectral estimation models. Then, the best SSC and SOM fitted multispectral estimation models based on UAV images were applied to a reflectance-corrected Landsat-8 image, and SSC and SOM distributions were obtained for the YRD. The estimation results revealed that moderately salinized arable land accounted for the largest proportion of area in the YRD (48.44%), with the SOM of most arable land (60.31%) at medium or lower levels. A significant negative spatial correlation was detected between SSC and SOM in most regions. This study integrates the advantages of UAV hyperspectral and satellite multispectral data, thereby realizing rapid and accurate estimation of SSC and SOM for a large-scale area, which is of great significance for the targeted improvement of arable land in the YRD.
Molecularly Imprinted Polymers: Selective Extraction Materials for Sample Preparation
Authors: Martín-Esteban Antonio
Published: May 2022

Highly developed analytical instrumentation (i [...]
“There’s Something Very Wrong with the System in This Country”: Multiracial Organizations and Their Responses to Racial Marginalization
Authors: Bratter Jenifer , Farrell Allan , Mehta Sharan Kaur , Casarez Raul S. , Zhang Xiaorui , Carroll Michael
Published: May 2022

Multiracial organizing since the 1980s has centered around the need to define and make visible the term multiracial (e.g., U.S. Census). In the contemporary era when multiple race populations are a growing and institutionally recognized demographic, how do multiracial organizations characterize and seek to combat collective experiences of racial marginalization? Here, we draw on in-depth interviews with officers from diverse multiracial organizations in the U.S. and Canada (N = 19) collected from 2017 through 2018 to examine this question. The findings revealed that multiracial individuals experience distinct forms of exclusion, which we call categorical invisibility, that target individuals who do not “fit” into established monoracial categories, and mixture as pathology, a less common frame but representing more overt forms of bias targeting those of mixed backgrounds. The lived impacts of these experiences prompt the expressed need for “safe” spaces from the psychosocial costs of categorical invisibility. Multiracial organizations, located mostly in the United States with one in Canada, engage in diverse community building and advocacy efforts to address these needs and, thus, represent critical sites of resistance to the trauma of racial (in)visibility. This work amplifies the need to center Critical Multiracial Theory to expose how monoracial paradigms as a central feature of White supremacy continue to shape the lives of multiracial people and expand our knowledge on how multiracial organizations shape the (re)negotiation of racial categories that challenge the racial status quo.
Analysis of Mockery and Discrimination towards People with Disabilities in Cartoons: The Family Guy Case
Authors: Garcia-Claro Jaime , Vazquez-Aguado Octavio , Martinez-Pecino Roberto
Published: May 2022

Disability is a topic that arouses social interest and that has been approached and represented in different ways throughout history. Analysing media portrayals of disability is needed to ease the development of inclusive societies. This work aims to identify the social representations of people with disabilities and the cases of mockery and discrimination that appear in the well-known Family Guy cartoons. For this purpose, a mixed methodology has been chosen, extracting all possible cases of the concepts used to refer to disability. The results show that the most commonly used concepts are pejorative and typical of dispensational and medical-rehabilitative paradigms. Regarding mockery and discrimination, it is observed that when both are related to a direct interaction with people with a disability, they appear in a much higher percentage. Although Family Guy is not an educational series and is aimed at audiences over 16 years of age, the results of this work promote media education as a tool to critically analyse the representations offered by the media to promote an inclusive society.
Family Education and Support Programme: Implementation and Cultural Adaptation in Cape Verde
Authors: Correia Adriana , Matavelli Rafaela , Cunha Francisca Ferreira , Hidalgo Victoria , Jesus Saul Neves de , Nunes Cristina
Published: May 2022

This article describes some preliminary data on the implementation of the Family Education and Support Programme (FAF) on psychosocially at-risk families of Boavista Island, Cape Verde, specifically in relation to its effectiveness in parenting competences. The FAF is a family intervention programme designed to be integrated into preventive and formative actions and it has the purpose of promoting positive parenting and preventing child abuse. This study aims to (a) describe the participants’ psychosocial profile regarding sociodemographic characteristics and negative or risky life events, (b) analyse the effectiveness of the FAF on improving parenting competences, and (c) address the main procedural topics related to the implementation of the FAF in Cape Verde. An experiential and participatory methodology was used with 66 parents, who participated in 12 group sessions, with a weekly periodicity, for four months. The evaluation was performed, in the pre-test and post-test, with the control group and the intervention group. Results show the effectiveness of the FAF in an African context, including its impact. The intervention group improved their post-intervention scores on perceived efficacy and satisfaction with a moderate and high effect size, respectively. We present some recommendations to be considered in future programs to promote positive parenting, since improvements in parents’ competences, are key to reducing neglectful or abusive situations.
Electromagnetic Properties Monitoring to Detect Different Biodegradation Kinetics in Hydrocarbon-Contaminated Soil
Authors: Vergnano Andrea , Raffa Carla Maria , Godio Alberto , Chiampo Fulvia
Published: May 2022

The electromagnetic properties (electrical permittivity and electrical conductivity) of three different soil mesocosms polluted with diesel oil were monitored using a time-domain reflectometry probe for 8 months. The main target of the research was to establish a relationship between the development of biological activity within the mesocosms and the temporal behaviour of electromagnetic properties. The trend of the electromagnetic properties exhibited different responses that could be related to the composition of the mesocosms and their variation with time during the runs. We considered three different mesocosms with similar soil conditions and the same diesel oil concentration: porosity of 45%, volumetric diesel oil content of 9%, and volumetric water content of 15%. The first one was subjected to a natural attenuation (NA), the second one was biostimulated without inoculation (BS), and the third one was biostimulated with inoculation (BS + IN). The biostimulated mesocosms showed a marked decrease in electrical permittivity and electrical conductivity, whereas the naturally attenuated mesocosm did not show these variations. Between the biostimulated mesocosms, the inoculated one showed the fastest variations in the electromagnetic properties. The microbial activity and the pollutant degradation were evidenced by the analyses performed at the end of the experiment. As demonstrated by the results for the fluorescein diacetate analysis, the microbial activity was a bit higher for the inoculated microcosm, which also showed faster variations of the electromagnetic properties. In the biostimulated mesocosms, the removal of diesel oil was 66% and 72%, respectively. With natural attenuation, there was a limited removal efficiency, in the order of 2%. Even if the electromagnetic properties evidenced different kinetics of bioremediation in BS and BS + IN, both were able to successfully degrade similar percentages of the contaminant after 8 months. The long monitoring revealed that a substantial decrease in the electromagnetic properties happened only in the first month after contamination. Additionally, an increasing trend of the permittivity was detected in the following months, before reaching a steady-state condition. This study revealed that biodegradation processes with acceptable overall removal efficiency can be monitored successfully by observing the variations in the electromagnetic properties.
Vibrational Enthalpies of Solid Crystalline Materials
Authors: Stanley Christopher Martin
Published: May 2022

Specific heat at constant pressure is traditionally a difficult thermodynamic quantity to obtain from first-principles calculations. While theoretical avenues to Cp(T) do exist—most notably, the quasi-harmonic approximation—there are many materials for which this approximation is not valid. One of those materials is Ge. In this paper, we demonstrate how a new method—termed the Beyond Quasi-Harmonic method—takes into account all anharmonic vibrations by showing how our results are significantly better than those achieved through using the quasi-harmonic model. In addition, we calculate Cp(T) for 3C-SiC, a material for which there are surprisingly few experimental results. For 3C-SiC, our results agree well with the available experiments, and for Ge, our results agree very well with the generally accepted values.
Purchase Intention and Satisfaction of Online Shop Users in Developing Countries during the COVID-19 Pandemic
Authors: García-Salirrosas Elizabeth Emperatriz , Acevedo-Duque Ángel , Marin Chaves Viviana , Mejía Henao Paula Andrea Mejía , Olaya Molano Juan Carlos
Published: May 2022

The aim of the research is to gain an understanding of consumer behavior in developing countries in the electronic environment. For this purpose, the four constructs of the PREVEINCOSA scale were analyzed: purchase intention as the dependent variable and trust, perceived value, and satisfaction as the determining variables of the former. For this purpose, by means of convenience sampling, an online questionnaire was shared with citizens in Mexico, Peru, and Colombia. A total of 330 questionnaires were collected from people who knew or had bought clothes in an online shop of the small company. Structural equation modeling (SEM) was used to validate the model and test the hypotheses. The results indicate that trust and satisfaction directly and positively influence value perception and online purchase intention and that value perception directly and positively influences online purchase intention of the small business consumer in Mexico, Peru, and Colombia. These results may be useful for the small fashion business sector in developing countries since it is observed that the online sales channel is not yet developed, which makes it necessary to develop strategies to reach customers in a more effective way. On the other hand, given the importance of this sector for the economy of developing countries, this study can be useful to governments who can establish public policies to provide training and technical assistance to benefit the development and competitiveness of this sector.
The Association between University Students’ Achievement Goal Orientation and Academic Engagement: Examining the Mediating Role of Perceived School Climate and Academic Self-Efficacy
Authors: Zhang Yaqi , Guan Xiangli , Ahmed Md Zahir , Jobe Mary C. , Ahmed Oli
Published: May 2022

Enhancing academic engagement in university students can help enrich students’ educational experience. Drawing on the Conservation of Resources Model and the Job Demand-Resources Model, this study aims to explore the links between undergraduates’ achievement goal orientation and academic engagement (AE), by examining the mediating functions of perceived school climate (PSC) and academic self-efficacy (ASE). Using whole-group sampling, 571 Chinese undergraduates were selected using a self-reporting method to explore the impacts of mastery-approach goals (MAGs) and performance-avoidance goals (PAGs) on AE, as well as the chain mediating effects of PSC and ASE. The findings show that both MAGs and PAGs have a positive, direct, predictive effect on university students’ AE. Additionally, both goal orientations indirectly predict AE through PSC and ASE, separately. The results showed there was also a significant chain mediating effect of PSC and ASE, where for both goal orientations, AE was positively predicted. This study highlights the role of environmental as well as personal factors in facilitating self-regulated learning among university students, and it discusses implications for future research.
Barrier Effect in a Medium-Sized Brazilian City: An Exploratory Analysis Using Decision Trees and Random Forests
Authors: Jesus Mylena Cristine Rodrigues de , Rodrigues da Silva Antônio Nélson
Published: May 2022

This study aims to examine if an urban road with intense motorized traffic in a medium-sized Brazilian city constitutes a barrier for walking trips. A questionnaire was conducted with 103 individuals in an area up to 800 m from the road selected for the study to obtain information about personal characteristics (age, income, etc.), social interactions in the neighborhood, and travel and mobility characteristics. We used the dataset to explore the potential of Decision Tree and Random Forest classification models to predict the users’ perception of the barrier effect, which was characterized by the dependent variables speed and volume (of motorized traffic). For 36.9% and 47.6% of respondents, traffic speed and traffic volume, respectively, represent a barrier to walking. The results also show that the following variables considerably affect the perception of the barrier effect of the respondents: distance from their residence to the studied road, time living at the address and in the study area, social connections in the neighborhood, and the street reported as the busiest one in the neighborhood. Identifying the variables with the largest influence on the perception of the barrier effect may be very useful for planning and policy initiatives.
Which Is the Best Supply Chain Policy: Carbon Tax, or a Low-Carbon Subsidy?
Authors: Wu Hanbo , Sun Yaxin , Su Yutong , Chen Ming , Zhao Hongxia , Li Qi
Published: May 2022

The low-carbon supply chain is key to promoting sustainable development and solving environmental pollution. Government policies related to lowering carbon emissions deeply affect supply chains. This paper builds a supply chain decision-making model under three different regulatory policies: a pure carbon tax, a pure low-carbon subsidy, and a mixed policy with both a carbon tax and a low-carbon subsidy, then compares and analyzes the impacts of these three different regulatory policies on carbon emissions, manufacturer and retailer income, and marginal profit in order to determine the best course of action with respect to supply chain decision-making. Our results indicate that the supply chain decision-making model under the mixed carbon tax and low-carbon subsidy policy results in a unique Nash equilibrium solution between the retailer subsidy rate and the manufacturing carbon reduction rate in a non-cooperative game. Although a carbon tax is beneficial to the ecological environment, retailer income increases slightly as the carbon tax coefficient increases before declining rapidly. Manufacturer income has a negative linear relationship with carbon tax, and an excessive amount of carbon tax increases the burden on companies. Therefore, the government must establish reasonable standards for carbon tax collection while offering moderate low-carbon subsidies at the same time as a means of optimizing social welfare.
The Impact of COVID-19 on Depressive Symptoms and Loneliness for Middle-Aged and Older Adults
Authors: Curl Angela L. , Wolf Katie E.
Published: May 2022

This study examines the impact of the COVID-19 pandemic on depressive symptoms and loneliness in older adults, using the Protection Motivation Theory Framework. Using data collected between March 2020 and May 2021 as part of the Health and Retirement Study (N = 2145 adults over age 50), the roles of threat and coping appraisals as predictors of protective health behaviors and, ultimately, mental health outcomes, were analyzed using structural equation modeling. Being at high risk for COVID-19 complications and death was associated with more depressive symptoms and loneliness. Higher levels of concern about COVID-19 were associated with more depressive symptoms while knowing someone who had died of the coronavirus was associated with less loneliness. Lower scores for perceived control over one’s health and social life were associated with more depressive symptoms and higher loneliness. These results suggest that moving forward, mental health assessments should consider the impact of the pandemic and include measures specifically asking about COVID-19 concerns and experiences (e.g., death of close friends or family due to COVID-19, protective health measures). Additionally, future responses to this pandemic and other public health emergencies should consider the influence that self-efficacy has on health behaviors and mental health. The pandemic has raised public awareness of the negative consequences of social isolation and acted to destigmatize mental illness, and this greater awareness could encourage middle-aged and older adults to seek various treatments for depression and loneliness.
Water Footprint as a Tool for Selection of Alternatives (Comments on “Food Recommendations for Reducing Water Footprint”)
Authors: Ansorge Libor , Stejskalová Lada
Published: May 2022

Water footprint is a new tool for assessing sustainability in terms of water use. Researchers are devising new applications that use water footprint, one of which is focused on comparing the water requirements of individual diets. Systems have been proposed to suggest tailor-made recipes that use a lower water quantity in production. This system proposes alternative recipes with lower demands for water resources based on their water footprint. The water footprint consists of three components—blue, green, and grey water footprints. However, focusing only on a reduction in the total water footprint may lead to an increase in some of its parts, such as the blue water footprint, and subsequently to water scarcity in some river basins. Therefore, it is recommended to extend the food recommendations system with sustainability criteria in order to avoid the unsustainable management of water resources. The same criteria can be used in any system for selecting alternatives based on the water footprint.
Optimized O3/Fe(II) Using Response Surface Methodology for Organic Phosphorus Removal in Tetrakis(hydroxymethyl)phosphonium Sulfate Wastewater
Authors: Peng Yangbin , Xu Hongbin , Li Yaohua , Zhang Yuhuan , Duan Dongge , Ren Mengyue
Published: May 2022

Tetrakis(hydroxymethyl)phosphonium sulfate (THPS) wastewater is a kind of industrial wastewater which is difficult to biodegrade. In this work, O3/Fe(II) was used to remove organic phosphorus from THPS wastewater. The operating conditions in this process were optimized using the Box-Behnken response surface method based on single-factor experimentation. A response model of the organic phosphorus removal rate considering the initial pH, reaction time, ozone concentration, and Fe(II) dosage was established. The results showed that the ozone concentration and initial pH had a significant effect on the removal rate of organic phosphorus, and the model fit well (R2 = 0.98). The maximum removal rate of organic phosphorus predicted by this model was 86.04%, while the deviation between the predicted and experimental values was 0.91%. We concluded that the quadratic model was an effective tool for optimizing the removal of organic phosphorus in the THPS wastewater by O3/Fe(II).
Forecasting of Streamflow and Comparison of Artificial Intelligence Methods: A Case Study for Meram Stream in Konya, Turkey
Authors: Asaad Mustafa Najat , Eryürük Şule , Eryürük Kağan
Published: May 2022

The planning and management of water resources are affected by streamflow. The analysis of the sustainability of water resources has used well-grounded methods such as artificial neural networks, used for streamflow forecasting by researchers in recent years. The main aim of this study is to evaluate the performance of various methods for long-term forecasting from the data of the mean monthly streamflows between 1981 and 2017 from the Kucukmuhsine station on the Meram Stream in the Turkish province of Konya. For that reason, the multilayer perceptron (MLP), long short-term memory (LSTM), and adaptive neuro-fuzzy inference system (ANFIS) artificial intelligence techniques were employed in this study for the long-term forecasting of streamflow for 12 months, 24 months, and 36 months. The mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) were used to evaluate the performance of the models developed to make predictions using the data from 1981 to 2017, and the Mann-Whitney test was applied to examine the differences between the actual data from 2018 to 2020 and each model’s forecasted results for those three years. The LSTM model showed superiority based on the values of R2 (calculated as 0.730) and RMSE (lowest value of 0.510), whereas the MLP yielded better prediction accuracy as reflected by the value of MAE (lowest value of 0.519). The ANFIS model did not have the best prediction ability for any of the criteria. In accordance with the Mann-Whitney test results, LSTM and MLP indicated no significant difference between the actual data from 2018 to 2020 and the forecasted values; whereas, there was a significant difference for the ANFIS model at a confidence level of 95%. The results showed that the LSTM model had a better prediction performance, surpassing the MLP and ANFIS models, when comparing mean monthly streamflow forecasts.
The Multi-Objective Optimization of Powertrain Design and Energy Management Strategy for Fuel Cell–Battery Electric Vehicle
Authors: Zhou Jiaming , Feng Chunxiao , Su Qingqing , Jiang Shangfeng , Fan Zhixian , Ruan Jiageng , Sun Shikai , Hu Leli
Published: May 2022

Considering the limited driving range and inconvenient energy replenishment way of battery electric vehicle, fuel cell electric vehicles (FC EVs) are taken as a promising way to meet the requirements for long-distance low-carbon driving. However, due to the limitation of FC power ability, a battery is usually adopted as the supplement power source to fill the gap between the requirement of driving and the serviceability of FC. In consequence, energy management is essential and crucial to an efficient power flow to the wheel. In this paper, a self-optimizing power matching strategy is proposed, considering the energy efficiency and battery degradation, via implementing a deep deterministic policy gradient. Based on the proposed strategy, less energy consumption and longer FC and battery life can be expected in FC EV powertrain with optimal hybridization degree.
Ethnobotany and Ecosystem Services in a Tidal Forest in Thailand
Authors: Panyadee Prateep , Meunrew Janjira , Balslev Henrik , Inta Angkhana
Published: May 2022

Ecosystem services from ecosystems have been providing different kinds of goods to people living in and around them. Here, the ecosystem services of the tidal forest in Thailand were investigated using the ethnobotanical research method. A total of 101 informants living around a tidal forest in Rayong Province, Thailand was interviewed using the free-listing technique. Totally, 48 species and 992 uses were recorded. Among these, the highest use value species included Cratoxylum cochinchinense, Garcinia cowa, Melientha suavis, and Nelumbo nucifera. Half of the informants received income from selling plant products which varied from 75 to 4000 USD annually without a significant difference between male and female informants. We found a significant correlation between economic value and the number of use-reports. Most economic species are food plants except one which was weaving material. Gender equality is supported by the ecosystem services since the difference in knowledge and generated income were not observed. Significantly, our results support that economic value is one of the most important factors to promote the recognition of traditional uses of local plants or on the other hand, the service from the ecosystem. Therefore, to conserve the existence of traditional knowledge, efforts from various stakeholders, e.g., the communities and the local and central governments, are required.
Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System
Authors: Elshrief Yasser A. , Abd-Elhaleem Sameh , Kujabi Sulayman , Helmi Dalal H. , Abozalam Belal A. , Asham Amin D.
Published: May 2022

Distributed generation (DG) has reformed the meaning of power generation from large scale to small scale, but unintentional islanding is the main issue when connecting DG and the utility grid. A lot of techniques have been used for detecting islanding, among these techniques, there are passive and active. The main problem of passive techniques is their large non-detection zone (NDZ), while the main drawback of active techniques is their undesirable effect on power quality. In this paper, a proposed hybrid passive–active systematic methodology based on a smart classifier that decides to use an active method instead of a passive one is presented. In the proposed scheme, sensors are used for measuring the reactive power at three terminals: the DG terminal, grid terminal, and load terminal. The novelty in this paper is the accurate detection of islanding within a shorter time either in the normal case or NDZ; also it can differentiate between islanding and grid faults without degrading the power quality of the overall system as the active technique does not have to be used continuously, and so total harmonic distortion does not exceed the standard value (5%) detected by IEEE standards. The proposed scheme was simulated using the MATLAB/Simulink platform, and the results reflect its potential with a comparative study.
Implementations of China’s New-Type Urbanisation: A Comparative Analysis between Targets and Practices of Key Elements’ Policies
Authors: Chen Weixuan , Cheshmehzangi Ali , Mangi Eugenio , Heath Timothy
Published: May 2022

China’s new-type urbanisation, as a national strategy, is one of the reasons why the leap in development has been made in the last decade. Existing studies mainly focus on the status and outcomes of china’s new-type urbanisation while stressing not enough the overlooked aspects of new-type urbanisation policies that are currently in use. This paper aims at exploring the highlighted and overlooked aspects of policies of three key elements in China’s new-type urbanisation: population, land, and industry and their implementations. The complicated process and contradictions between formulation and implementation of the policies are extracted by analysing set goals and implemented situations of relative indicators from the three elements. The policies drove the population from separation to unity between household registered and actual residences, land from human land allometry to balance, and industry from traditional industrialisation to emerging service. Although these policies had significant achievements in the transitions of formulation, they still needed to be further implemented. Furthermore, this paper discusses corresponding reasons and potential directions to better the adoption of these policies for greater inclusion and systematic efficiency. The findings could not only highlight directions that improve existing policies of China’s new-type urbanisation but also provide guidance for inclusive and sustainable urbanisation practices in China as well as other cities in similar situations all over the world.
“Sustainability” as a Motive for Choosing Shared-Mobility Services: The Case of Polish Consumers of Uber Services
Authors: Bąk Andrzej , Nawrocka Elżbieta , Jaremen Daria E.
Published: May 2022

(1) Background: Uber Technologies are currently changing the pattern of urban transport. Statista reports that in the period 2017–2019 alone, the average monthly number of active Uber users worldwide increased by 126.5%, and the average monthly number of Uber trips grew by 115%. The purpose of this article is to identify the most important motives encouraging both current and potential customers to use Uber “taxi” services. Particular attention was paid to the factor of perceiving these services as a more sustainable way of meeting transport needs. Uber creates its image specifically on the idea of sustainability. (2) Methods: The operationalization of the sustainability concept was based on three dimensions: ecological, social and economic. The CAWI (Computer-Assisted Web Interview) technique was used to collect the research data. The representative research sample covered 1003 Poles. A logistic regression model was used to analyze empirical data collected based on the survey. The data analysis used R program and the selected packages for this program. (3) Results: Among the most important motives, sustainability is the most frequently indicated. (4) Conclusions: The choices of Uber services are significantly influenced by the reasons related to two sustainability pillars—one social and one economic. The factors significantly influencing consumer decision-making processes related to the use of shared mobility services belong to the following groups of motives: sustainable development, knowledge of information and communication technologies (ICT), innovation, user convenience and savings. The findings from the study can become the basis for organizations and local authorities to undertake appropriate marketing activities to promote shared-mobility services (SMS) and support sustainable and environmentally friendly development.
Influence of Cerium and Nickel Co-Doping on ZnO Nanostructures for Electrochemical Behavior of H2O2 Sensing Applications
Authors: Shanmugam Nadana , Thirumal Vediyappan , Kannadasan Natesan , Murugavel Kandasamy , Jayashri Natarajan , Kim Jinho , Choi Dongjin
Published: May 2022

The present paper reports facile synthesis by simple chemical precipitation method for Zinc Oxide (ZnO) nanoparticles with cerium (Ce) and nickel (Ni) co-doped ZnO nanocrystals. The different optimum conditions are analyzed in dual metallic (Ce/Ni) nanoparticles doped with ZnO nanoparticles. Successful incorporation of cerium and nickel is predicted with X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS). Additionally, optical effects were studied as-prepared active materials by UV-Visible reflectance (UV-Vis-DRS) and photoluminescence (PL) measurements at room temperature. In addition, morphology investigations of the scanning electron microscope (SEM) and transmission electron microscope (TEM) are conducted. The results of electrochemical studies reveal that the co-doped product exhibits a higher H2O2 sensing response, with 46.21 μA/μM.cm2 for Ce/Ni-doped ZnO, which can use potentially for future biomedical applications.
A Study on the Motivation of Older Adults to Participate in Exercise or Physical Fitness Activities
Authors: Tsai Tsai-Hsuan , Wong Alice M. , Lee Hsiu-Feng , Tseng Kevin C.
Published: May 2022

Studies have found that older adults often experience severe problems due to a lack of exercise, including an increased risk of falls, increased psychological problems and reduced social participation. However, the practicality and sustainability of exercise or physical fitness activities among older adults are questionable because these adults may face physical and psychological obstacles. Hence, this study proposed a research model to explore the physical fitness behaviours of the elderly subjects and the specific factors for maintaining their motivation to participate in exercise or physical fitness activities. A survey for a total of 101 subjects of residents of Chang Gung Health and Culture Village (CGHCV) was conducted to investigate the effects of the elderly’s group identification and psychological proximity on their attitude and intention toward physical fitness. The results show that the group identification of the physical fitness activities, psychological proximity, intention toward physical fitness and subjective norms of the subjects did not affect their attitudes towards physical fitness or their intention to participate in exercise or physical fitness activities in the future. Therefore, the influence of group identification with other older adults of the same age on empathy allowed the subjects to understand the problematic aspects of physical fitness. Group identification among the subjects allowed them to adjust to their physical fitness problems through sympathy. It mediated the physical fitness problems of the subjects through the ageism effect.
Evolution of Wireless Communication to 6G: Potential Applications and Research Directions
Authors: Asghar Muhammad Zeeshan , Memon Shafique Ahmed , Hämäläinen Jyri
Published: May 2022

The fifth-generation mobile network (5G), as the fundamental enabler of Industry 4.0, has facilitated digital transformation and smart manufacturing through AI and cloud computing (CC). However, B5G is viewed as a turning point that will fundamentally transform existing global trends in wireless communication practices as well as in the lives of masses. B5G foresees a world where physical–digital confluence takes place. This study intends to see the world beyond 5G with the transition to 6G assuming the lead as future wireless communication technology. However, despite several developments, the dream of an era without latency, unprecedented speed internet, and extraterrestrial communication has yet to become a reality. This article explores main impediments and challenges that the 5G–6G transition may face in achieving these greater ideals. This article furnishes the vision for 6G, facilitating technology infrastructures, challenges, and research leads towards the ultimate achievement of “technology for humanity” objective and better service to underprivileged people.
A Study on the Relationship between Pragmatic Language Development and Socioeconomic Status in Arab Preschoolers with and without Pragmatic Language Impairment
Authors: Qasem Fawaz , Alduais Ahmed , Alfadda Hind , Alfadda Najla , Amri Lujain Al
Published: May 2022

The scope of this study is threefold. First, it examines socioeconomic status (SES) and pragmatic language development (PLD), hypothesizing that parental education and employment levels are mediators, where SES affects PLD mainly through its influence on parental education and employment levels. Second, we used quantitative (age) and qualitative (gender) variables as moderators, hypothesizing that gender and age moderate the relationship between classroom interaction (CI), social interaction (SI), and personal interaction (PI) skills and level of PLD. Third, characteristics of PLD in preschoolers with and without pragmatic language impairment (PLI) are compared. The Arabic Pragmatic Language Skills Inventory (A-PLSI) was administered by preschool teachers and speech-language pathologists in Saudi Arabia to 264 preschoolers with and without neurodevelopmental disorders to assess their PLD. Additionally, the SES of the parents of the same number of participants was surveyed. Results show that the more CI, SI, and PI a preschool child has, the greater the likelihood of typical PLD, regardless of the parents’ employment or education. Further, we obtained evidence that CI, SI, and PI all grow together with age. However, these three elements (namely, CI, SI, and PI) do not seem to be moderated or altered by gender. Typical PLD may be attainable when preschool children demonstrate typical mental and physical development, in contrast to children with psychiatric histories who display atypical PLD. These findings suggest that preschool children with more CI, SI, and PI will exhibit more typical PLD. The achievement of this goal results in a sustainable society for children.
The Effects of Environmental Regulation on Investment Efficiency—An Empirical Analysis of Manufacturing Firms in the Beijing–Tianjin–Hebei Region, China
Authors: Qi Peng , Shang Yu , Han Fang
Published: May 2022

The Beijing–Tianjin–Hebei region is China’s most important urban economic group. The specific structure of the region’s manufacturing industry causes enterprises to face the problem of low investment efficiency. How to balance high efficiency investment with the development of the ecological environment, achieving a win–win situation, is an urgent problem. In order to explore the impact of environmental regulation on the investment efficiency of listed manufacturing enterprises in the Beijing–Tianjin–Hebei region, this study utilized environmental regulation and enterprise-level data from 2011 to 2017, established a panel regression model, and then tested the impact mechanism of environmental regulation on corporate investment efficiency. On this basis, the panel threshold model was established to test the existence of the threshold effect of environmental regulation. The empirical results show that environmental regulation will have a negative impact on the investment efficiency of the listed manufacturing companies in the Beijing–Tianjin–Hebei region, causing the threshold of the impact of environmental regulation on investment efficiency to move from promotion to suppression. Finally, in accordance with the different scopes of the environmental regulation intensity of each manufacturing industry, the paper proposes reasonable suggestions for government departments in order to formulate environmental policies to improve the efficiency of enterprise investment.
Impact of COVID-19 Outbreak Risk Perception on Willingness to Consume Products from Restaurants: Mediation Effect of Risk Attitude
Authors: Li Zhao , Liang Wangbing , Luo Jingfeng
Published: May 2022

The COVID-19 outbreak caused huge losses for the catering industry. The outbreak’s influence on consumers’ risk perception and risk attitude was an important factor for these heavy losses. The aim of this study was to investigate the change in epidemic risk perception, risk attitude, and the consumers’ willingness to consume products from restaurants during the spread of the COVID-19 epidemic. The study collected 502 questionnaires at the end of 2021, and structural analysis was conducted using SPSS 26.0 and AMOS 20.0 statistical programs. The results showed that consumers’ awareness of the coronavirus pandemic (consumers’ epidemic risk perception) had a significant positive effect on their decision-making behavior under uncertain conditions (risk attitude); consumers’ decision-making behavior under uncertain conditions (risk attitude) had a significant negative effect on their willingness to purchase from restaurants; consumers’ awareness of the coronavirus pandemic (consumers’ epidemic risk perception) had a significant negative effect on their willingness to consume products from restaurants; and risk attitude played a mediating role in the influence of consumers’ epidemic risk perception on their willingness to consume products from restaurants. This study can provide guidance and reference for restaurants on how to deal with the epidemic situation, help them undertake risk prevention work and reduce losses, and promote the healthy and sustainable development of the restaurant.
A Framework for Food Security via Resilient Agri-Food Supply Chains: The Case of UAE
Authors: Manikas Ioannis , Sundarakani Balan , Anastasiadis Foivos , Ali Beshir
Published: May 2022

Food security (FS) is one of the most elusive and sought-after objectives worldwide. Securing a country’s self-sufficiency— in the current COVID-19 pandemic era, more than ever—has become a prioritized mission. In the Middle East and North Africa (MENA) region, FS is adversely affected by, among others, the scarcity of freshwater, harsh environment, regional conflicts, and rising temperatures. Following the eruption of the COVID-19 pandemic, exporters placed export restrictions on key food crops, affecting FS in import dependent regions, such as the MENA countries and, more specifically, the United Arab Emirates (UAE). This paper presented a conceptual framework on the key enablers for the UAE agri-food supply chains to obtain the necessary resiliency to achieve FS, through improving policy-making capacity. The proposed approach started with the assessment of the main vulnerabilities of the food system in a global context; from there, the factors that influence vulnerability were investigated, identifying the main global drivers that affect the local food systems, focusing on the UAE. The proposed framework was applied for the design and implementation of an early warning system concerning FS-related incidents.
Chelating Agents in Assisting Phytoremediation of Uranium-Contaminated Soils: A Review
Authors: You Yue , Dou Junfeng , Xue Yu , Jin Naifu , Yang Kai
Published: May 2022

Massive stockpiles of uranium (U) mine tailings have resulted in soil contamination with U. Plants for soil remediation have low extraction efficiency of U. Chelating agents can mobilize U in soils and, hence, enhance phytoextraction of U from the soil. However, the rapid mobilization rate of soil U by chelating agents in a short period than plant uptake rate could increase the risk of groundwater contamination with soluble U leaching down the soil profile. This review summarizes recent progresses in synthesis and application of chelating agents for assisting phytoremediation of U-contaminated soils. In detail, the interactions between chelating agents and U ions are initially elucidated. Subsequently, the mechanisms of phytoextraction and effectiveness of different chelating agents for phytoremediation of U-contaminated soils are given. Moreover, the potential risks associated with chelating agents are discussed. Finally, the synthesis and application of slow-release chelating agents for slowing down metal mobilization in soils are presented. The application of slow-release chelating agents for enhancing phytoextraction of soil U is still scarce. Hence, we propose the preparation of slow-release biodegradable chelating agents, which can control the release speed of chelating agent into the soil in order to match the mobilization rate of soil U with plant uptake rate, while diminishing the risk of residual chelating agent leaching to groundwater.