bluuebunny/crossref_metadata_2025 huggingface dataset:
Water Management for μDMFC with Foamed Stainless Steel Cathode Current Collector
Authors: Zhang Fan , Zhang Yanhui , Zhao Zhengang
Published: March 2022

For micro direct methanol fuel cell (μDMFC), water flooding on the cathode seriously affects the performance stability. Additionally, the effect of material and wettability of the cathode current collector (CCC) on the drainage capacity is studied to improve the μDMFC’s performance. To this end, a CCC with foamed stainless steel was prepared to assemble the μDMFC due to its absorbency. Further, based on analyzing the gas–liquid two-phase flow characteristics of the μDMFC cathode, it was found that the gradient wettability CCC could accelerate the discharge of cathode water. Hence, the foam stainless steel CCC was partially immersed in a KOH solution to complete the gradient corrosion using its capillary force. Then, four different types of gradient wettability CCC were prepared by controlling the time of chemical corrosion. Finally, the performance of the μDMFC with different gradient wettability CCC was tested at room temperature using electrochemical impedance spectroscopy (EIS) and discharge voltage. The experimental results show that the gradient wettability CCC can improve the performance of the μDMFC by slowing down the rate of cathode flooding. The optimum corrosion time is 5 min at a concentration of 1 mol/L. Under these conditions, the CCC has the best gradient wettability, and the μDMFC has the lowest total impedance. The discharge voltage of the μDMFC with corroded CCC is increased by 33.33% compared to the uncorroded CCC μDMFC. The gradient wettability CCC designed in this study is economical, convenient, and practical for water management of the μDMFC.
Effects of Nickel Nanoparticles on Rhodococcus Cell Surface Morphology and Nanomechanical Properties
Authors: Kuyukina Maria S. , Glebov Grigorii G. , Ivshina Irena B.
Published: March 2022

Nickel nanoparticles (NPs) are used for soil remediation and wastewater treatment due to their high adsorption capacity against complex organic pollutants. However, despite the growing use of nickel NPs, their toxicological towards environmental bacteria have not been sufficiently studied. Actinobacteria of the genus Rhodococcus are valuable bioremediation agents degrading a range of harmful and recalcitrant chemicals. Both positive and negative effects of metal ions and NPs on the biodegradation of organic pollutants by Rhodococcus were revealed, however, the mechanisms of such interactions, in addition to direct toxic effects, remain unclear. In the present work, the influence of nickel NPs on the viability, surface topology and nanomechanical properties of Rhodococcus cells have been studied. Bacterial adaptations to high (up to 1.0 g/L) concentrations of nickel NPs during prolonged (24 and 48 h) exposure were detected using combined confocal laser scanning and atomic force microscopy. Incubation with nickel NPs resulted in a 1.25–1.5-fold increase in the relative surface area and roughness, changes in cellular charge and adhesion characteristics, as well as a 2–8-fold decrease in the Young’s modulus of Rhodococcus ruber IEGM 231 cells. Presumably, the treatment of rhodococcal cells with sublethal concentrations (0.01–0.1 g/L) of nickel NPs facilitates the colonization of surfaces, which is important in the production of immobilized biocatalysts based on whole bacterial cells adsorbed on solid carriers. Based on the data obtained, cell surface functionalizing with NPs is possible to enhance adhesive and catalytic properties of bacteria suitable for environmental applications.
Tuning the Physicochemical Properties of Nanostructured Materials through Advanced Preparation Methods
Authors: Vakros John , Avgouropoulos George
Published: March 2022

Over the last few decades, nanotechnology has received a huge level of interest due to its extensive applications in various fields, including catalysis, electronics, optics, energy, and the environment [...]
An Evolutionary and Environmental Perspective of the Interaction of Nanomaterials with the Immune System
Authors: Boraschi Diana
Published: March 2022

Assessing the modes of interaction between engineered nanomaterials and the immune system is a topic of particular interest for research in several fields, from a toxicological and safety perspective to potential nano-based immunomodulatory strategies for medical use [...]
Gold Nanomaterials-Based Electrochemical Sensors and Biosensors for Phenolic Antioxidants Detection: Recent Advances
Authors: Petrucci Rita , Bortolami Martina , Di Matteo Paola , Curulli Antonella
Published: March 2022

Antioxidants play a central role in the development and production of food, cosmetics, and pharmaceuticals, to reduce oxidative processes in the human body. Among them, phenolic antioxidants are considered even more efficient than other antioxidants. They are divided into natural and synthetic. The natural antioxidants are generally found in plants and their synthetic counterparts are generally added as preventing agents of lipid oxidation during the processing and storage of fats, oils, and lipid-containing foods: All of them can exhibit different effects on human health, which are not always beneficial. Because of their relevant bioactivity and importance in several sectors, such as agro-food, pharmaceutical, and cosmetic, it is crucial to have fast and reliable analysis Rmethods available. In this review, different examples of gold nanomaterial-based electrochemical (bio)sensors used for the rapid and selective detection of phenolic compounds are analyzed and discussed, evidencing the important role of gold nanomaterials, and including systems with or without specific recognition elements, such as biomolecules, enzymes, etc. Moreover, a selection of gold nanomaterials involved in the designing of this kind of (bio)sensor is reported and critically analyzed. Finally, advantages, limitations, and potentialities for practical applications of gold nanomaterial-based electrochemical (bio)sensors for detecting phenolic antioxidants are discussed.
Green Synthesis of Laser-Induced Graphene with Copper Oxide Nanoparticles for Deicing Based on Photo-Electrothermal Effect
Authors: Lee Jun-Uk , Lee Jeong-hoon , Lee Chan-Woo , Cho Su-Chan , Hong Sung-Moo , Ma Yong-won , Jeong Sung-Yeob , Shin Bo-Sung
Published: March 2022

Homogenously dispersed Cu oxide nanoparticles on laser-induced graphene (LIG) were fabricated using a simple two-step laser irradiation. This work emphasized the synergetic photo-electrothermal effect in Cu oxide particles embedded in LIG. Our flexible hybrid composites exhibited high mechanical durability and excellent thermal properties. Moreover, the Cu oxide nanoparticles in the carbon matrix of LIG enhanced the light trapping and multiple electron internal scattering for the electrothermal effect. The best conditions for deicing devices were also studied by controlling the amount of Cu solution. The deicing performance of the sample was demonstrated, and the results indicate that the developed method could be a promising strategy for maintaining lightness, efficiency, excellent thermal performance, and eco-friendly 3D processing capabilities.
Effects of Solvent and Electrospinning Parameters on the Morphology and Piezoelectric Properties of PVDF Nanofibrous Membrane
Authors: Yin Jia-Yi , Boaretti Carlo , Lorenzetti Alessandra , Martucci Alessandro , Roso Martina , Modesti Michele
Published: March 2022

PVDF electrospun membranes were prepared by employing different mixtures of solvents and diverse electrospinning parameters. A comprehensive investigation was carried out, including morphology, nanofiber diameter, crystallinity, β-phase fraction, and piezoelectric response under external mechanical strain. It was demonstrated that by using low-toxicity DMSO as the solvent, PVDF membranes with good morphology (bead-free, smooth surface, and uniform nanofiber) can be obtained. All the fabricated membranes showed crystallinity and β-phase fraction above 48% and 80%, respectively; therefore, electrospinning is a good method for preparing PVDF membranes with the piezoelectric properties. Moreover, we considered a potential effect of the solvent properties and the electrospinning parameters on the final piezoelectric properties. When PVDF membranes with different β-phase fractions and crystallinity values are applied to make the piezoelectric transducers, various piezoelectric voltage outputs can be obtained. This paper provides an effective and efficient strategy for regulating the piezoelectric properties of PVDF electrospun membranes by controlling both solvent dipole moment and process parameters. To the best of our knowledge, this is the first time that the influence of a solvent’s dipole moment on the piezoelectric properties of electrospun materials has been reported.
Manufacturing of Textured Bulk Fe-SmCo5 Magnets by Severe Plastic Deformation
Authors: Weissitsch Lukas , Stückler Martin , Wurster Stefan , Todt Juraj , Knoll Peter , Krenn Heinz , Pippan Reinhard , Bachmaier Andrea
Published: March 2022

Exchange-coupling between soft- and hard-magnetic phases plays an important role in the engineering of novel magnetic materials. To achieve exchange coupling, a two-phase microstructure is necessary. This interface effect is further enhanced if both phase dimensions are reduced to the nanometer scale. At the same time, it is challenging to obtain large sample dimensions. In this study, powder blends and ball-milled powder blends of Fe-SmCo5 are consolidated and are deformed by high-pressure torsion (HPT), as this technique allows us to produce bulk magnetic materials of reasonable sizes. Additionally, the effect of severe deformation by ball-milling and severe plastic deformation by HPT on exchange coupling in Fe-SmCo5 composites is investigated. Due to the applied shear deformation, it is possible to obtain a texture in both phases, resulting in an anisotropic magnetic behavior and an improved magnetic performance.
Trends in Prevalence, Treatment, and Control of Hypertension According to 40-Year-Old Life Expectancy at Prefectures in Japan from the National Health and Nutrition Surveys
Authors: Sata Mizuki , Okamura Tomonori , Nishi Nobuo , Kadota Aya , Nakamura Mieko , Kondo Keiko , Okami Yukiko , Kitaoka Kaori , Ojima Toshiyuki , Yoshita Katsushi , Miura Katsuyuki
Published: March 2022

The prevalence of hypertension has been decreasing in Japan due to improved medical treatment and a decrease in dietary salt intake. However, disparities in the prevalence, treatment, and control of hypertension are expected to occur in different regions. This study aimed to investigate the trends in the prevalence, treatment, and control of hypertension at the prefectural level of life expectancy among Japanese population. We used data from the National Health and Nutrition Survey and analysed the individual survey information of individuals aged 40–69 years by dividing it into six terms, i.e., 1995–1997, 1999–2001, 2003–2005, 2007–2009, 2012, and 2016. Prefectures were classified into four groups according to their 40-year-old life expectancy in 2000. Outcome values were standardised to the population by 10-year age groups in 2010, and they were tested by two-way analysis of variance according to six terms and life expectancies. The prevalence of hypertension tended to decrease, especially among women, whereas the treatment and control tended to improve from the first to the sixth period in both men and women. The prevalence and treatment of hypertension in men with longer life expectancy tended to be lower than that in other groups, and there was no obvious difference in the control. In women, there were no obvious differences in the prevalence, treatment, or control. Reducing the prevalence of hypertension by improving lifestyle factors, such as high salt intake in each prefecture with a relatively short life expectancy, may be important to resolve the disparity in life expectancy among prefectures.
Vitamin D and Parkinson’s Disease
Authors: Pignolo Antonia , Mastrilli Sergio , Davì Chiara , Arnao Valentina , Aridon Paolo , dos Santos Mendes Felipe Augusto , Gagliardo Cesare , D’Amelio Marco
Published: March 2022

Vitamin D is a fat-soluble secosteroid, traditionally considered a key regulator of bone metabolism, calcium and phosphorous homeostasis. Its action is made possible through the binding to the vitamin D receptor (VDR), after which it directly and indirectly modulates the expression of thousands of genes. Vitamin D is important for brain development, mature brain activity and associated with many neurological diseases, including Parkinson’s disease (PD). High frequency of vitamin D deficiency in patients with Parkinson’s disease compared to control population was noted nearly twenty years ago. This finding is of interest given vitamin D’s neuroprotective effect, exerted by the action of neurotrophic factors, regulation of nerve growth or through protection against cytotoxicity. Vitamin D deficiency seems to be related to disease severity and disease progression, evaluated by Unified Parkinson’s Disease Rating Scale (UPDRS) and Hoehn and Yahr (H&Y) scale, but not with age of PD onset and duration of disease. Additionally, fall risk has been associated with lower vitamin D levels in PD. However, while the association between vitamin D and motor-symptoms seems to be possible, results of studies investigating the association with non-motor symptoms are conflicting. In addition, very little evidence exists regarding the possibility to use vitamin D supplementation to reduce clinical manifestations and disability in patients with PD. However, considering the positive balance between potential benefits against its limited risks, vitamin D supplementation for PD patients will probably be considered in the near future, if further confirmed in clinical studies.
Bifidobacterium breve and Bifidobacterium longum Attenuate Choline-Induced Plasma Trimethylamine N-Oxide Production by Modulating Gut Microbiota in Mice
Authors: Wang Qianqian , Guo Min , Liu Yang , Xu Mengshu , Shi Liuting , Li Xiu , Zhao Jianxin , Zhang Hao , Wang Gang , Chen Wei
Published: March 2022

Atherosclerosis is the main cause of myocardial infarction and stroke, and the morbidity and mortality rates of cardiovascular disease are among the highest of any disease worldwide. Excessive plasma trimethylamine-N-oxide (TMAO), an intestinal metabolite, promotes the development of atherosclerosis. Therefore, effective measures for reducing plasma TMAO production can contribute to preventing atherosclerosis. Probiotics are living microorganisms that are beneficial to the human body, and some of them can attenuate plasma TMAO production. To explore the effects of probiotic supplementation on plasma TMAO in choline-fed mice, we intragastrically administered eight strains of Bifidobacterium breve and eight strains of Bifidobacterium longum to mice for 6 weeks. B. breve Bb4 and B. longum BL1 and BL7 significantly reduced plasma TMAO and plasma and cecal trimethylamine concentrations. However, hepatic flavin monooxygenase (FMO) activity, flavin-containing monooxygenase 3 (FMO3), farnesoid X receptor (FXR) protein expression and TMAO fractional excretion were not significantly affected by Bifidobacterium supplementation. The treatment of Bifidobacterium strains modulated the abundances of several genera such as Ruminococcaceae UCG-009, Ruminococcaceae UCG-010, which belong to the Firmicutes that has been reported with cut gene clusters, which may be related to the reduction in intestinal TMA and plasma TMAO. Additionally, a reduction in Ruminococcaceae indicates a reduction in circulating glucose and lipids, which may be another pathway by which Bifidobacterium strains reduce the risk of atherosclerosis. The effect of Bifidobacterium strains on Bacteroides also suggests a relationship between the abundance of this genus and TMA concentrations in the gut. Therefore, the mechanism underlying these changes might be gut microbiota regulation. These Bifidobacterium strains may have therapeutic potential for alleviating TMAO-related diseases.
Insufficient Fruit and Vegetable Intake and Low Potassium Intake Aggravate Early Renal Damage in Children: A Longitudinal Study
Authors: Li Menglong , Amaerjiang Nubiya , Li Ziang , Xiao Huidi , Zunong Jiawulan , Gao Lifang , Vermund Sten H. , Hu Yifei
Published: March 2022

Insufficient fruit and vegetable intake (FVI) and low potassium intake are associated with many non-communicable diseases, but the association with early renal damage in children is uncertain. We aimed to identify the associations of early renal damage with insufficient FVI and daily potassium intake in a general pediatric population. We conducted four waves of urine assays based on our child cohort (PROC) study from October 2018 to November 2019 in Beijing, China. We investigated FVI and other lifestyle status via questionnaire surveys and measured urinary potassium, β2-microglobulin (β2-MG), and microalbumin (MA) excretion to assess daily potassium intake and renal damage among 1914 primary school children. The prevalence of insufficient FVI (<4/d) was 48.6% (95% CI: 46.4%, 50.9%) and the estimated potassium intake at baseline was 1.63 ± 0.48 g/d. Short sleep duration, long screen time, lower estimated potassium intake, higher β2-MG and MA excretion were significantly more frequent in the insufficient FVI group. We generated linear mixed effects models and observed the bivariate associations of urinary β2-MG and MA excretion with insufficient FVI (β = 0.012, 95% CI: 0.005, 0.020; β = 0.717, 95% CI: 0.075, 1.359), and estimated potassium intake (β = −0.042, 95% CI: −0.052, −0.033; β = −1.778, 95% CI: −2.600, −0.956), respectively; after adjusting for age, sex, BMI, SBP, sleep duration, screen time and physical activity. In multivariate models, we observed that urinary β2-MG excretion increased with insufficient FVI (β = 0.011, 95% CI: 0.004, 0.018) and insufficient potassium intake (<1.5 g/d) (β = 0.031, 95% CI: 0.023, 0.038); and urinary MA excretion increased with insufficient FVI (β = 0.658, 95% CI: 0.017, 1.299) and insufficient potassium intake (β = 1.185, 95% CI: 0.492, 1.878). We visualized different quartiles of potassium intake showing different renal damage with insufficient FVI for interpretation and validation of the findings. Insufficient FVI and low potassium intake aggravate early renal damage in children and underscores that healthy lifestyles, especially adequate FVI, should be advocated.
Changes in Clinical Training for Nursing Students during the COVID-19 Pandemic: A Scoping Review Protocol
Authors: Lobão Catarina , Coelho Adriana , Gonçalves Rui , Parola Vitor , Neves Hugo , Sousa Joana Pereira
Published: March 2022

Background: The COVID-19 pandemic has had consequences for social, economic, cultural and educational life, affecting nursing training and practice. To date, no previous scoping reviews addressing this objective have been found. This study aims to map the literature related to changes in clinical training for nursing students during the COVID-19 pandemic. Methods: A scoping review will be carried out according to the Joanna Briggs Institute’s latest guidance regarding methodology. A set of relevant electronic databases and grey literature will be searched using terms such as clinical practice, nursing students, COVID-19. Results: This scoping review will consider any type of quantitative, qualitative, and mixed-methods study and systematic review designs for inclusion, focusing on changes in clinical training for nursing students during the COVID-19 pandemic. Conclusion: Pedagogical criteria had to be changed due to the COVID-19 pandemic, especially face-to-face clinical training for nursing students. Identifying the changes in clinical training for nursing students during the COVID-19 pandemic will help educators to understand the potential impact of this specific context and trace possible gaps. This protocol is registered at Open Science Framework.
Protein Concentrations in Stored Pooled Platelet Concentrates Treated with Pathogen Inactivation by Amotosalen Plus Ultraviolet a Illumination
Authors: Arnason Niels Arni , Johannsson Freyr , Landrö Ragna , Hardarsson Björn , Gudmundsson Sveinn , Lian Aina-Mari , Reseland Janne , Rolfsson Ottar , Sigurjonsson Olafur E.
Published: March 2022

Platelet granules contain a diverse group of proteins. Upon activation and during storage, platelets release a number of proteins into the circulation or supernatant of stored platelet concentrate (PC). The aim of this work was to investigate the effect of pathogen inactivation (PI) on a selection of proteins released in stored platelets. Materials and Methods: PCs in platelet additive solution (PAS) were produced from whole blood donations using the buffy coat (BC) method. PCs in the treatment arm were pathogen inactivated with amotosalen and UVA, while PCs in the second arm were used as an untreated platelet control. Concentrations of 36 proteins were monitored in the PCs during storage. Results: The majority of proteins increased in concentration over the storage period. In addition, 10 of the 29 proteins that showed change had significantly different concentrations between the PI treatment and the control at one or more timepoints. A subset of six proteins displayed a PI-related drop in concentration. Conclusions: PI has limited effect on protein concentration stored PC supernatant. The protein’s changes related to PI treatment with elevated concentration implicate accelerated Platelet storage lesion (PSL); in contrast, there are potential novel benefits to PI related decrease in protein concentration that need further investigation.
Intestinal Parasites in Children up to 14 Years Old Hospitalized with Diarrhea in Mozambique, 2014–2019
Authors: Nhambirre Ofélia Luís , Cossa-Moiane Idalécia , Bauhofer Adilson Fernando Loforte , Chissaque Assucênio , Lobo Maria Luisa , Matos Olga , de Deus Nilsa
Published: March 2022

Diarrhea remains a public health problem in Mozambique, even with control strategies being implemented. This analysis aimed to determine the proportion and factors associated with intestinal parasitic infection (IPI) in children up to 14 years old with diarrheal disease, in the southern, central and northern regions of Mozambique. A single diarrheal sample of 1424 children was collected in hospitals and examined using the formol-ether concentration and modified Ziehl–Neelsen techniques to identify intestinal parasites using optical microscopy. Sociodemographic characteristics were obtained by questionnaires. Descriptive statistics and cross-tabulation were performed, and p-values <0.05 were considered statistically significant. A single IPI was detected in 19.2% (273/1424) of the children. Cryptosporidium spp. was the most common parasite (8.1%; 115/1424). Polyparasitism was seen in 26.0% (71/273), with the co-infection of Ascaris lumbricoides and Trichuris trichiura (26.8%; 19/71) being the most common. Age and province were related to IPI (p-value < 0.05). The highest occurrence of IPI was observed in the wet period (October to March), with 21.9% (140/640), compared to the dry period (April to September), with 16.9% (131/776) (p-value = 0.017). Cryptosporidium spp. and the combination of A. lumbricoides/T. trichiura were the main intestinal parasites observed in children hospitalized with diarrhea in Mozambique.
Iron–Gold Nanoflowers: A Promising Tool for Multimodal Imaging and Hyperthermia Therapy
Authors: Christou Evangelia , Pearson John R. , Beltrán Ana M. , Fernández-Afonso Yilian , Gutiérrez Lucía , de la Fuente Jesús M. , Gámez Francisco , García-Martín María L. , Caro Carlos
Published: March 2022

The development of nanoplatforms prepared to perform both multimodal imaging and combined therapies in a single entity is a fast-growing field. These systems are able to improve diagnostic accuracy and therapy success. Multicomponent Nanoparticles (MCNPs), composed of iron oxide and gold, offer new opportunities for Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) diagnosis, as well as combined therapies based on Magnetic Hyperthermia (MH) and Photothermal Therapy (PT). In this work, we describe a new seed-assisted method for the synthesis of Au@Fe Nanoparticles (NPs) with a flower-like structure. For biomedical purposes, Au@Fe NPs were functionalized with a PEGylated ligand, leading to high colloidal stability. Moreover, the as-obtained Au@Fe-PEG NPs exhibited excellent features as both MRI and CT Contrast Agents (CAs), with high r2 relaxivity (60.5 mM−1⋅s−1) and X-ray attenuation properties (8.8 HU mM−1⋅HU). In addition, these nanoflowers presented considerable energy-to-heat conversion under both Alternating Magnetic Fields (AMFs) (∆T ≈ 2.5 °C) and Near-Infrared (NIR) light (∆T ≈ 17 °C). Finally, Au@Fe-PEG NPs exhibited very low cytotoxicity, confirming their potential for theranostics applications.
Epidemiological Estimate of Growth Reduction by Ozone in Fagus sylvatica L. and Picea abies Karst.: Sensitivity Analysis and Comparison with Experimental Results
Authors: Braun Sabine , Rihm Beat , Schindler Christian
Published: March 2022

The critical level of ozone flux for forest trees is based entirely on biomass data from fumigation experiments with saplings, mostly in open-top chambers. Extrapolation to mature forests asks, therefore, for validation, which may be performed by epidemiological data analysis. This requires a multivariable regression analysis with a number of covariates to account for potential confounding factors. The present paper analyses the ozone sensitivity of volume increments of mature European beech (Fagus sylvatica) and Norway spruce (Picea abies), with the addition, or removal, of covariates. The comparison of the epidemiological dose–response relationship with experimental data shows very good agreement in beech and a more sensitive relationship in the epidemiological analysis of Norway spruce compared to the experiments. In Norway spruce, there was also a strong interaction between the effects of ozone and temperature; at high July temperatures, the ozone effect was stronger. This interaction may explain the disagreement between the epidemiological study and the experiments, of which the majority were performed in Sweden.
Functional Links between Biomass Production and Decomposition of Vetiver (Chrysopogon zizanioides) Grass in Three Australian Soils
Authors: Tessema Bezaye , Wilson Brian , Daniel Heiko , Kristiansen Paul , Baldock Jeff A.
Published: March 2022

Plant roots are primary factors to contribute to surface and deep soil carbon sequestration (SCS). Perennial grasses like vetiver produce large and deep root system and are likely to contribute significantly to soil carbon. However, we have limited knowledge on how root and shoot decomposition differ and their contribution to SCS. This study examined biomass production and relative decomposition of vetiver which was grown under glasshouse conditions. Subsequently the biomass incubated for 206 days, and the gas analysed using ANCA-GSL. The results confirmed large shoot and root production potential of 161 and 107 Mg ha−1 (fresh) and 67.7 and 52.5 Mg ha−1 (dry) biomass, respectively with 1:1.43 (fresh) and 1:1.25 (dry) production ratio. Vetiver roots decomposed more rapidly in the clay soil (p < 0.001) compared with the shoots, which could be attributed to the lower C:N ratio of roots than the shoots. The large root biomass produced does indeed contribute more to the soil carbon accumulation and the faster root decomposition is crucial in releasing the carbon in the root exudates and would also speed up its contribution to stable SOM. Hence, planting vetiver and similar tropical perennial grasses on degraded and less fertile soils could be a good strategy to rehabilitate degraded soils and for SCS.
Identification of Control Parameters for Converters of Doubly Fed Wind Turbines Based on Hybrid Genetic Algorithm
Authors: Wu Linlin , Liu Hui , Zhang Jiaan , Liu Chenyu , Sun Yamin , Li Zhijun , Li Jingwei
Published: March 2022

The accuracy of doubly fed induction generator (DFIG) models and parameters plays an important role in power system operation. This paper proposes a parameter identification method based on the hybrid genetic algorithm for the control system of DFIG converters. In the improved genetic algorithm, the generation gap value and immune strategy are adopted, and a strategy of “individual identification, elite retention, and overall identification” is proposed. The DFIG operation data information used for parameter identification considers the loss of rotor current, stator current, grid-side voltage, stator voltage, and rotor voltage. The operating data of a wind farm in Zhangjiakou, North China, were used as a test case to verify the effectiveness of the proposed parameter identification method for the Maximum Power Point Tracking (MPPT), constant speed, and constant power operation conditions of the wind turbine.
Memory of Conflicts and Perceived Threat as Relevant Mediators of Interreligious Conflicts
Authors: Setiawan Tery , Tjandraningtyas Jacqueline Mariae , Kuntari Christina Maria Indah Soca , Rahmani Kristin , Maria Cindy , Indrianie Efnie , Puspitasari Indah , Dwijayanthy Meta
Published: March 2022

The present study investigated to what extent memory of conflict and perceived threat explain the relation between religiosity and supporting interreligious conflicts between Muslims and Christians in Indonesia. We employed data from the survey of the interreligious conflicts in 2017, involving 2026 adults from five hotspot regions: Aceh Singkil, South Lampung, Bekasi, Poso, and Kupang. Our confirmatory factor analysis and measurement invariance demonstrated that all employed scales were valid and reliable across religious groups. Our structural equation modelling showed that while the memory of conflicts was only positively related to supporting lawful protests, the perceived threat was shown to be strongly related to supporting both lawful and violent protests. This shows that memory of past physical injuries is not highly susceptible to exclusive behaviours against the religious outgroup. However, it is the individuals’ evaluation of the religious outgroup as a result of past conflicts which encourages exclusionary behaviours against them. These findings provide empirical insights into the importance of the aftermath of interreligious conflicts and how they can be used to avoid future clashes.
Competencies Development: The Role of Organizational Commitment and the Perception of Employability
Authors: Moreira Ana , Sousa Maria José , Cesário Francisco
Published: March 2022

The main objective of this study was to analyze the mediating effect of perceived employability (internal and external) and the organizational commitment in the relationship between the organizational practices of competencies development (OPCD) and the turnover intentions. The sample consists of 2099 participants, all of them working in organizations based in Portuguese territory. The existence of a significant and negative effect of the OPCD, of perceived internal employability and the organizational commitment in the turnover intentions, has been proven. There was also a significant and positive effect of perceived external employability on turnover intentions. Finally, the serial mediating effect of perceived employability and organizational commitment in the relationship between OPCD and turnover intentions was proven.
Environment Sustainability Is a Corporate Social Responsibility: Measuring the Nexus between Sustainable Supply Chain Management, Big Data Analytics Capabilities, and Organizational Performance
Authors: Zhu Changchun , Du Jianguo , Shahzad Fakhar , Wattoo Muhammad Umair
Published: March 2022

Sustainability has profound implications for environmental competitiveness, yet little has been done to study the feasibility of sustainable supply chain management (SSCM) practices as a predictor of organizational performance (operational and environmental performance). By integrating stakeholder theory and dynamic capability theory, this study aims to determine the impact of corporate social responsibility (CSR) on SSCM practices and assess its impact on organizational performance. This research also investigates the role of big data analytical capabilities (BDAC) in mediating the relationship between SSCM practices and organizational performance. The authors collected data online, examined 320 valid responses, and tested research hypotheses. The findings suggest that CSR (both internal and external CSR) positively promotes SSCM practices and contributes to expanding dynamic capacity theory in the context of BDA capabilities. BDAC is also a key mediator between SSCM practices and organizational performance. These results contribute to and improve the research on stakeholder theory and SSCM practice and provide a new perspective for scholars to further study this issue.
Predictive Maintenance Planning for Industry 4.0 Using Machine Learning for Sustainable Manufacturing
Authors: Abidi Mustufa Haider , Mohammed Muneer Khan , Alkhalefah Hisham
Published: March 2022

With the advent of the fourth industrial revolution, the application of artificial intelligence in the manufacturing domain is becoming prevalent. Maintenance is one of the important activities in the manufacturing process, and it requires proper attention. To decrease maintenance costs and to attain sustainable operational management, Predictive Maintenance (PdM) has become important in industries. The principle of PdM is forecasting the next failure; thus, the respective maintenance is scheduled before the predicted failure occurs. In the construction of maintenance management, facility managers generally employ reactive or preventive maintenance mechanisms. However, reactive maintenance does not have the ability to prevent failure and preventive maintenance does not have the ability to predict the future condition of mechanical, electrical, or plumbing components. Therefore, to improve the facilities’ lifespans, such components are repaired in advance. In this paper, a PdM planning model is developed using intelligent methods. The developed method involves five main phases: (a) data cleaning, (b) data normalization, (c) optimal feature selection, (d) prediction network decision-making, and (e) prediction. Initially, the data pertaining to PdM are subjected to data cleaning and normalization in order to arrange the data within a particular limit. Optimal feature selection is performed next, to reduce redundant information. Optimal feature selection is performed using a hybrid of the Jaya algorithm and Sea Lion Optimization (SLnO). As the prediction values differ in range, it is difficult for machine learning or deep learning face to provide accurate results. Thus, a support vector machine (SVM) is used to make decisions regarding the prediction network. The SVM identifies the network in which prediction can be performed for the concerned range. Finally, the prediction is accomplished using a Recurrent Neural Network (RNN). In the RNN, the weight is optimized using the hybrid J-SLnO. A comparative analysis demonstrates that the proposed model can efficiently predict the future condition of components for maintenance planning by using two datasets—aircraft engine and lithium-ion battery datasets.
Random Forests Assessment of the Role of Atmospheric Circulation in PM10 in an Urban Area with Complex Topography
Authors: Sekula Piotr , Ustrnul Zbigniew , Bokwa Anita , Bochenek Bogdan , Zimnoch Miroslaw
Published: March 2022

This study presents the assessment of the quantitative influence of atmospheric circulation on the pollutant concentration in the area of Kraków, Southern Poland, for the period 2000–2020. The research has been realized with the application of different statistical parameters, synoptic meteorology tools, the Random Forests machine learning method, and multilinear regression analyses. Another aim of the research was to evaluate the types of atmospheric circulation classification methods used in studies on air pollution dispersion and to assess the possibility of their application in air quality management, including short-term PM10 daily forecasts. During the period analyzed, a significant decreasing trend of pollutants’ concentrations and varying atmospheric circulation conditions was observed. To understand the relation between PM10 concentration and meteorological conditions and their significance, the Random Forests algorithm was applied. Observations from meteorological stations, air quality measurements and ERA-5 reanalysis were used. The meteorological database was used as an input to models that were trained to predict daily PM10 concentration and its day-to-day changes. This study made it possible to distinguish the dominant circulation types with the highest probability of occurrence of poor air quality or a significant improvement in air quality conditions. Apart from the parameters whose significant influence on air quality is well established (air temperature and wind speed at the ground and air temperature gradient), the key factor was also the gradient of relative air humidity and wind shear in the lowest troposphere. Partial dependence calculated with the use of the Random Forests model made it possible to better analyze the impact of individual meteorological parameters on the PM10 daily concentration. The analysis has shown that, for areas with a diversified topography, it is crucial to use the variability of the atmospheric circulation during the day to better forecast air quality.
Higher Education for Sustainability: A Critical Review of the Empirical Evidence 2013–2020
Authors: Probst Lorenz
Published: March 2022

Higher education for sustainable development (HESD) has grown into a substantial field of research and practice. HESD proposes that higher education will be central in a transition towards more sustainable socio-ecological systems. However, the debates on what should be learned in HESD and how this should be learned have remained conceptually controversial and empirically inconclusive. This review examined the evidence that specific pedagogies and content lead to specific “sustainability outcomes” among graduates. Three hundred and fifty-seven studies published between 2013 and 2020 were analyzed. The reviewed research was case-driven and often undertheorized regarding learning processes and outcomes. Despite its volume, the literature did not provide coherent insights into what should be learned and how. If the project of HESD is to be pursued further, more courage will be needed in creating novel forms of higher education, while more purpose and conceptual precision will be required in future research.
Approaches to Strengthen the Social Cohesion between Displaced and Host Communities
Authors: Jayakody Chathuranganee , Malalgoda Chamindi , Amaratunga Dilanthi , Haigh Richard , Liyanage Champika , Witt Emlyn , Hamza Mo , Fernando Nishara
Published: March 2022

A cohesive society is not only characterised by the availability of basic services and facilities, but also promotes economic equality and inclusion, democracy, and social solidarity. Forced displacement due to disasters and conflict constantly disrupt the path to a sustainable and cohesive society. Displaced communities often struggle with a lack of access to livelihood and a lack of financial independence and social and family stability. With these challenges, a lack of provision of basic services and facilities will create a competition for housing, health, and education between the displaced and host communities. Additionally, the economic competition for jobs and the role of international aid in terms of fairness create social tension between the displaced and the host. Likewise, multiple aspects weaken the social cohesion between displaced and host communities. Within this context, we investigated approaches to enhance social cohesion following disaster-induced and conflict-induced displacement. With the identification of this research need, the research team of the project titled REGARD (REbuild-inG AfteR Displacement) conducted 47 in-depth interviews in four partner countries (U.K., Sweden, Estonia, and Sri Lanka) with community representatives, social support networks, agency networks, officials, etc. Moreover, focus group discussions were conducted with community members in Sri Lanka. The collected data were analysed through a qualitative data analysis procedure. The findings present eight approaches to strengthen the social cohesion between displaced and host communities. These eight approaches include the adequate provision of basic services and facilities without limiting the capacity of the host, support services aimed at local integration, economic integration between the displaced and host, and social cohesion through the built environment.
Sustainable and Security Focused Multimodal Models for Distance Learning
Authors: Jusas Vacius , Butkiene Rita , Venčkauskas Algimantas , Grigaliūnas Šarūnas , Gudoniene Daina , Burbaite Renata , Misnevs Boriss
Published: March 2022

The COVID-19 pandemic has forced much education to move into a distance learning (DL) model. The problem addressed in the paper is related to the increased necessity for the capacity of data, secure infrastructure, Wi-Fi possibilities, and equipment, learning resources which are needed when students connect to systems managed by institutional, national, and international organizations. Meanwhile, there have been cases when learners were not able to use technology in a secure manner, since they were requested to connect to external learning objects or systems. The research aims to develop a sustainable strategy based on a security concept model that consists of three main components: (1) security assurance; (2) users, including administration, teachers, and learners; and (3) DL organizational processes. The security concept model can be implemented at different levels of security. We modelled all the possible levels of security. To implement the security concept model, we introduce a framework that consists of the following activities: plan, implement, review, and improve. These activities were performed in a never-ending loop. We provided the technical measures required to implement the appropriate security level of DL infrastructure. The technical measures were provided at the level of a system administrator. We enriched the framework by joining technical measures into appropriate activities within the framework. The models were validated by 10 experts from different higher education institutions. The feasibility of the data collection instrument was determined by a Cronbach’s alpha coefficient that was above 0.9.
The In-Plane-Two-Folders Symmetric a-Plane AlN Epitaxy on r-Plane Sapphire Substrate
Authors: Zhang Fabi , Huang Lijie , Zhang Jin , Liang Zhiwen , Zhang Chenhui , Liu Shangfeng , Luo Wei , Kang Junjie , Cao Jiakang , Li Tai , Wang Qi , Yuan Ye
Published: March 2022

In the present work, a single-crystalline epitaxial nonpolar a-plane AlN film with in-plane two-folder symmetries was successfully achieved on an r-plane sapphire substrate, by combining physical vapor deposition and a high-temperature annealing technique. Moreover, by varying the AlN thickness, the evolution of crystalline quality and structure were systematically investigated using X-ray diffraction, Raman spectroscopy, and atomic force microscopy. The crystalline quality was much improved by the annealing treatment. Most importantly, when the thickness of AlN was increased up to 1000 nm, the AlN lattice was found to endure strong distortion along the out-of-plane direction, and the lattice showed an obvious expansion. The change of the surface morphology induced by high-temperature annealing was also tracked, and the morphology displayed structural anisotropy along the [11¯00] direction. Our results act as a crucial platform to better understand and employ the nonpolar AlN template; in particular, it is of importance for subsequent device fabrication.
A Computational Understanding of Inter-Individual Variability in CYP2D6 Activity to Investigate the Impact of Missense Mutations on Ochratoxin A Metabolism
Authors: Dorne Jean Lou C. M. , Cirlini Martina , Louisse Jochem , Pedroni Lorenzo , Galaverna Gianni , Dellafiora Luca
Published: March 2022

Cytochrome P-450 (CYP) enzymes have a key role in the metabolism of xenobiotics of food origin, and their highly polymorphic nature concurs with the diverse inter-individual variability in the toxicokinetics (TK) and toxicodynamics (TD) of food chemicals. Ochratoxin A is a well-known mycotoxin which contaminates a large variety of food and is associated with food safety concerns. It is a minor substrate of CYP2D6, although the effects of CYP2D6 polymorphisms on its metabolism may be overlooked. Insights on this aspect would provide a useful mechanistic basis for a more science-based hazard assessment, particularly to integrate inter-individual differences in CYP2D6 metabolism. This work presents a molecular modelling approach for the analysis of mechanistic features with regard to the metabolic capacity of CYP2D6 variants to oxidise a number of substrates. The outcomes highlighted that a low-frequency CYP2D6 variant (CYP2D6*110) is likely to enhance ochratoxin A oxidation with possible consequences on TK and TD. It is therefore recommended to further analyse such TK and TD consequences. Generally speaking, we propose the identification of mechanistic features and parameters that could provide a semi-quantitative means to discriminate ligands based on the likelihood to undergo transformation by CYP2D6 variants. This would support the development of a fit-for-purpose pipeline which can be extended to a tool allowing for the bulk analysis of a large number of compounds. Such a tool would ultimately include inter-phenotypic differences of polymorphic xenobiotic-metabolising enzymes in the hazard assessment and risk characterisation of food chemicals.
Clinical and Immunological Predictors of Hemorrhagic Fever with Renal Syndrome Outcome during the Early Phase
Authors: Lee Geum-Young , Kim Won-Keun , No Jin Sun , Yi Yongjin , Park Hayne Cho , Jung Jaehun , Cho Seungchan , Lee Jingyeong , Lee Seung-Ho , Park Kyungmin , Kim Jongwoo , Song Jin-Won
Published: March 2022

The ability to accurately predict the early progression of hemorrhagic fever with renal syndrome (HFRS) is crucial for reducing morbidity and mortality rates in severely affected patients. However, the utility of biomarkers for predicting clinical outcomes remains elusive in HFRS. The aims of the current study were to analyze the serum levels of immune function-related proteins and identify novel biomarkers that may help ascertain clinical outcomes of HFRS. Enzyme-linked immunosorbent assay, Luminex, and bioanalyzer assays were used to quantitatively detect 15 biomarkers in 49 serum samples of 26 patients with HFRS. High hemoglobin (HGB) and low urine output (UO) levels were identified as potential biomarkers associated with the acute HFRS. The serum soluble urokinase plasminogen activator receptor (suPAR) and C-X-C motif chemokine ligand 10 (CXCL10) values increased in the early phase of diseases. Elevated suPAR, interleukin-10 (IL-10), CXCL10, and decreased transforming growth factor-beta 3 (TGF-β3) were representative predictors of the disease severity. Upregulation of the HGB showed a significant correlation with high levels of suPAR and CXCL10. Reduced UO positively correlated with increased suPAR, CXCL10, and TGF-β2, and decreased vascular endothelial growth factor and TGF-β3. The changing HGB and UO criteria, high suPAR, IL-10, CXCL10, and low TGF-β3 of HFRS raise significant awareness for physicians regarding prospective biomarkers for monitoring early warning signs of HFRS. This study provides critical insights into the clinical and immunological biomarkers for disease severity and progression in patients with HFRS to identify early predictions of fatal outcomes.