bluuebunny/crossref_metadata_2025_split huggingface dataset:
In-vitro biocompatibility evaluation of cast Ni–Ti alloy produced by vacuum arc melting technique for biomedical and dental applications
Authors: Ibrahim Khaled M. , Safwat Engie M. , Ghayad Ibrahim M. , El-Hadad Shimaa 
Published: October 2022

AbstractThe investigated cast Ni50–Ti50 shape memory alloy was prepared using a vacuum arc furnace. The cast samples were subjected to in-vitro biocompatibility studies according to ISO 10993-12:2004, and compared to other samples Ni–Ti orthodontic wires commercially available at the dental market. The cast samples were hydroxyapatite-coated using the electrodeposition technique. The effect of surface treatment on the coating quality was addressed. The hydroxyapatite-coated samples were investigated using electrochemical impedance (EIS) and potentiodynamic techniques. Coated samples were also examined using a scanning electron microscope to inspect the coating morphology. Cytotoxicity tests on MG63 and H9C2 cell lines showed the safety and biocompatibility of the cast NiTi alloy, with a direct relationship between the incubation period of the tested samples and cell viability. Well-adhered hydroxyapatite coating was obtained on the surface-treated NiTi samples using the electrodeposition technique. EDS analysis showed a hydroxyapatite coating having a calcium to phosphorus ratio close to that of the natural bone. Electrochemical tests indicated that the highest corrosion resistance was obtained for the uncoated samples followed by the anodized sample and finally the hydroxyapatite-coated samples due to their high porosity.
Cellular and ultrastructural alterations of Arabidopsis thaliana roots in response to exogenous trans-aconitic acid
Authors: Kern-Cardoso Kátia Aparecida , Mito Marcio Shigueaki , Sánchez-Moreiras Adela María , Reigosa Manuel Joaquín , Ishii-Iwamoto Emy Luiza 
Published: October 2022

AbstractIn this work, the responses of Arabidopsis thaliana (L.) Heynh to trans-aconitic acid (TAA) were investigated. A. thaliana was grown in the presence of TAA in a concentration range of 400–1200 µM for 7 or 15 days. Changes in the morphoanatomy, cellular ultrastructure, and micromorphology of the roots were evaluated by light and transmission electron (TEM) microscopy. At concentrations below 1000 µM, TAA reduced the length of the primary roots, but induced an early appearance of lateral roots and root hairs. At a concentration of 1200 µM, TAA suppressed the growth of seedlings. The images of longitudinal sections of root tips of seedlings treated with IC50 of TAA (684 µM) revealed a reduced elongation zone with an increased differentiation zone. TEM images showed an increase in the number and volume of vacuoles, an increase in vesicles containing electron-dense material derived from plasmalemma, and electron-dense granules attached to the cell wall. Trans-aconitic acid induced an early differentiation of A. thaliana seedlings suggesting an interference in the auxin action. Changes in the cellular ultrastructure may represent vacuolar and extracellular accumulation of TAA, to remove excess TAA in the cytosol and mitochondria. An inhibition of aconitase and the chelation of intracellular cations may have contributed to cytotoxicity of TAA at 1200 µM concentration.
Quantifying the impact of a smart farming system application on local-scale air quality of smallhold farms in Greece
Authors: Fragkou Evangelia , Tsegas George , Karagkounis Athanasios , Barmpas Fotios , Moussiopoulos Nicolas 
Published: October 2022

AbstractSmart farming (SF) has emerged as a scientific approach exploiting technology advances for the management of agricultural practices, focusing on the control of resources and chemicals used. There is still limited evidence in the scientific literature in regard to the efficiency of SF, particularly for targeted environmental issues, such as air pollutant emissions from agricultural activities. The present paper expoits quantitative data collected from questionnaires to farmers of 6 pilot areas in Greece, participating in the LIFE GAIA Sense project. Emissions and pollutant levels were calculated for two consecutive years in these pilot areas, namely 2019 (baseline year) and 2020, which is the first SF application year. The methodology for calculating realistic emissions data, following a combined tier 1/tier2 approach is presented. To this purpose, detailed activity data of the specific SF application areas related to agricultural activities were acquired, based on the responses of participating farmers to targeted questionnaires. Calculated emissions were used as input data for air quality modeling simulations to examine the efficiency of SF in reducing local pollutant concentrations. The results show significant emissions and concentrations reductions in five out of the six pilot areas, for all pollutants and greenhouse gases studied, due to the decrease in fuel consumption and N fertilizer applied, as a result of the farmers following the SF advice. Particularly for NH3, which is an agricultural air pollutant of concern due to its health and environmental impacts, emission reductions of around 30% (and by up to almost 60%) were calculated.
Application of six sigma and the system thinking approach in COVID-19 operation management: a case study of the victorian aged care response centre (VACRC) in Australia
Authors: Jadhav Sandeep , Imran Ahmed , Haque Marjia 
Published: October 2022

AbstractCOVID-19 has posed many unique and critical challenges in various contexts and circumstances. This often led the stakeholders and decision-makers to depart from traditional thinking and the business-as-usual processes and to come up with innovative approaches to tackle various mission-critical situations within a short time frame. In this paper, a real-life case study of COVID-19 operation management following a multi-disciplinary, multi-stakeholder novel integrated approach in aged care facilities in Victoria, Australia, is presented which yielded significant and positive outcomes. The purpose of the intervention was to develop an integrated system performance approach through the application of various quality management tools and techniques to achieve organizational excellence at the aged care centers. The case involved the use of mathematical models along with statistical tools and techniques to address the specific problem scenario. A system-wide management plan was proposed, involving various agencies across several residential aged care facilities during the pandemic. A three-step methodological framework was developed, where Six Sigma, a system thinking approach, and a holistic metric were proposed to manage the value chain of the pandemic management system. The experimental result analyses showed significant improvement in the management process, suggesting the validity and potential of this holistic approach to stabilize the situation and subsequently set the conditions for operations excellence within the sectors. The model offers new insight into the existing body of knowledge and offers an efficient approach to achieving operational excellence in any organization or business regardless of its type, shape and complexity, which can help practitioners in managing complex, mission-critical situations like a pandemic.
Profiles of emerging adults’ resilience facing the negative impact of COVID-19 across six countries
Authors: Angela Sorgente , Fonseca Gabriela , Lep Žan , Li Lijun , Serido Joyce , Vosylis Rimantas , Crespo Carla , Relvas Ana Paula , Zupančič Maja , Lanz Margherita 
Published: October 2022

AbstractAlthough emerging adults (i.e., individuals aged 18–29 years old) may be at a lesser risk of COVID-19 severe illness and mortality, studies have found that the negative impact of COVID-19 on mental health and well-being is higher among emerging adults when compared to other age groups. The current study aimed to identify profile(s) based on resilience resources, which could help emerging adults in managing the disruptions to their lives following the pandemic. A cross-national sample of 1,768 emerging adults from China, Italy, Lithuania, Portugal, Slovenia, and the US was utilized to identify profiles based on different resilience dimensions (ego-resiliency, positivity, religiosity, socioeconomic status, family support, peer support). Results of the Latent Profile Analysis suggest the presence of four different profiles: no resources, only peer, only family, and well-equipped. The association of these profiles with demographic variables, adulthood markers, self-perceived COVID-19 impact, present well-being, and future life perception was investigated. Implications for resilience theory as well as for future interventions are discussed.
Application of remote sensing techniques to identify iron ore deposits in the Central Eastern Desert, Egypt: a case study at Wadi Karim and Gabal El-Hadid areas
Authors: Ghoneim Sobhi Mahmoud , Salem Salem Mohamed , El-Wahid Kareem Hamed Abd , Anwar Mohamed , Hegab Mahmoud Abd El-Rahman , Soliman Nehal Mohamed , Ali Hala Fouad 
Published: October 2022

AbstractThe integration of remote sensing, spectral measurements and field verification helped in discriminating new iron occurrences hosted in the metavolcanic rocks at Wadi Karim and Gabal El-Hadid areas in the Central Eastern Desert (CED) of Egypt. The iron host rocks were carefully recognized through different image processing techniques that were applied on Landsat-8 satellite image data with the implementation of the spectral signatures of the various iron minerals and host rocks. The detected iron ore is found in the form of Banded Iron Formation (BIF), veins and lenses of varied thicknesses ranging from a few centimetres to 5 m. They are composed mainly of magnetite and hematite, as well as accessories of aluminium, iron silicates and quartz. Moreover, the structure controls on iron ore occurrences were also illustrated in the investigated areas. The alignment of the iron forms with the primary and secondary structural planes of their host rocks may indicate the origin and mode of occurrence of the explored iron ore, as contemporaneous and syngenetic deposition with the solidification of the host metavolcanics. Several remote sensing techniques including Crosta principal component analysis (CPCA), constrained energy minimization (CEM) supervised classification technique and a newly proposed Landsat-8 band ratio (band6/band2) were applied for discriminating the iron-rich localities within the studied areas. These techniques showed high efficiency and applicability in the accurate delineation of the iron-enriched areas; this was validated through the field study.
Monkeypox virus: past and present
Authors: Dou Ya-Mei , Yuan Hang , Tian Hou-Wen 
Published: October 2022

Abstract
Background
The objective of this paper is to analyze the current status of monkeypox worldwide. In the face of this public health threat, our purpose is to elucidate the clinical characteristics and epidemiology of monkeypox, the developmental progress of monkeypox-related drugs and the vaccines available.

Data sources
The literature review was performed in databases including PubMed, Science Direct and Google Scholar up to July 2022.

Results
Since May 2022, the World Health Organization has reported more than 45,000 confirmed cases from 92 nonendemic countries, including nine deaths. Although some women and children have been infected so far, most cases have occurred among men who have sex with other men, especially those with multiple sexual partners or anonymous sex.

Conclusions
Pediatric monkeypox infection has been associated with a higher likelihood of severe illness and mortality than in adults. Severe monkeypox illness in pediatrics often requires adjunctive antiviral therapy. It is crucial for all countries to establish sound monitoring and testing systems and be prepared with emergency preparedness.
A working likelihood approach to support vector regression with a data-driven insensitivity parameter
Authors: Wu Jinran , Wang You-Gan 
Published: October 2022

AbstractThe insensitivity parameter in support vector regression determines the set of support vectors that greatly impacts the prediction. A data-driven approach is proposed to determine an approximate value for this insensitivity parameter by minimizing a generalized loss function originating from the likelihood principle. This data-driven support vector regression also statistically standardizes samples using the scale of noises different from conventional response scaling method. Statistical standardization together with probabilistic regularization based on a working likelihood function produces data-dependent values for the hyperparameters including the insensitivity parameter. The exact asymptotical solutions are provided when the noises are normally distributed. Nonlinear and linear numerical simulations with three types of noises ($$\epsilon$$
ϵ
-Laplacian distribution, normal distribution, and uniform distribution), and in addition, five real benchmark data sets, are used to test the capacity of the proposed method. Based on all the simulations and the five case studies, the proposed support vector regression using a working likelihood, data-driven insensitivity parameter is superior and has lower computational costs.
Shaping the Future of Shared Services Centers: Insights from a Delphi Study About SSC Transformation Towards 2030
Authors: Ferreira Cicero , Janssen Marijn 
Published: October 2022

AbstractIn recent years, shared services centers (SSCs) have been central to organizational transformation strategies of many large firms and governments to reduce costs, improve service quality, and innovate services. SSCs are undergoing significant transformations due to the advancement of technologies. To better understand the technologies’ impact on SSCs in 2030, a Delphi panel with over 30 experts, executives, and researchers was conducted in the first half of 2020. Panelists pointed out six recent technologies potentially impacting SSCs by 2030: AI/ML, internet/package-based automation, BPMS/RPA, business analytics, blockchain, and cloud computing. The experts expect that these technologies will cause a transformation in the SSC business model and disruptive changes in SSC employees’ and managers’ profiles. Managers cannot merely continue their regular efforts and should refocus from automating repetitive functions towards intensifying the use of technology in value-adding services. The outcomes should help public and private sector managers to be ahead of change and prepare their organizations for the future of SSCs.
Soil Carbon within the Mangrove Landscape in Rufiji River Delta, Tanzania
Authors: Dai Zhaohua , Trettin Carl C. , Mangora Mwita M. , Tang Wenwu 
Published: October 2022

Abstract
Mangroves are among the most carbon-rich terrestrial ecosystems, primarily attributable to the soil pool. There are substantial differences in soil carbon (C) and nitrogen (N) due to the disparities in geomorphic settings and ecological drivers, but this insight is drawn primarily from observational studies. An objective inventory of carbon stocks in mangroves of the Rufiji River Delta, Tanzania was conducted. Seventy-five soil cores were collected within a 12,164 ha inventory area, comprising the northern portion of the delta. Cores were collected from intact and dwarf mangroves, agricultural fields, and mudflats. The spatial mean soil organic carbon (SOC) density in mangroves was 16.35 ± 6.25 mg C cm−3. Mean SOC density in non-vegetated mudflats was 12.16 ± 4.57 mg C cm−3, demonstrating that mangroves develop on soils with a substantial soil C stock. However, long-established mangroves had had a higher C density (17.27 ± 5.87 mg C cm−3). Using a δ13C mixing model, the source of soil organic matter in mudflats was primarily marine, while long-established mangroves was predominantly mangrove. There were small differences in SOC among long-established mangrove sites in different geomorphic settings. The proportion of marine-sourced SOC increased with soil depth in mangroves. The SOC and nitrogen of agricultural sites resemble those of mudflats, suggesting those sites are developed from relatively young forests. The SOC and nitrogen density in dwarf mangrove sites were lower than others, perhaps reflecting past disturbances.
Design and direct preparation of a novel silicon carbide support for zeolite membrane
Authors: Chen Gangling , Zhang Jianying , Geng Miaomiao , Sunarso Jaka , Wong Ngie Hing , Ma Tianlin , Wang Yujie , Chen Guihua 
Published: October 2022

AbstractThe support for the membrane is the basis for the preparation and application of the zeolite membrane. Moreover, its cost and properties directly determine the performance of the zeolite membrane and its industrial applications. A novel porous silicon carbide (SiC) support for zeolite membrane bonded with needle-like mullite (3Al2O3·2SiO2) was prepared using SiC powders as the raw material and kaolin, Al(OH)3, and AlF3 as the needle-like mullite precursor additives via an in situ high-temperature reactions in an air atmosphere. Effects of the support material composition and the sintering temperature on the sintering behavior, pore structure, permeability, and microstructure of the resultant supports were extensively investigated. The needle-like mullite formation consumed silicon oxide (SiO2) and generated a rigid skeleton structure with a good pore structure and bonding phase. Hence, the porous SiC support exhibited high porosity, with relatively large pore size and mechanical strength, which helped improve the support performance. Notably, the porous SiC support sintered at 1480 °C with in situ inter-particle needle-like mullite bonding exhibited excellent filtration and permeability performance. The porous support materials and methods used in this work are suitable for designing and preparing a novel porous SiC support for zeolite membranes.
Religious Attendance and Health Behavior in Cross-National Perspective: The Role of Religious Context
Authors: Jung Jong Hyun 
Published: October 2022

Background A substantial body of evidence shows that individuals with higher levels of religious attendance are more likely to avoid risky health behaviors and adopt beneficial health behaviors. Yet, less is known about the extent to which these patterns vary across national context. Purpose The current study aims to examine how religious attendance is associated with health behavior cross-nationally. More importantly, it assesses the ways that country-level religiosity moderates this association. In this endeavor, the current study focuses on five health behaviors—smoking, drinking, eating fruit, eating vegetables, and participating in physical activity. Methods The current study uses multilevel modeling with data from the seventh round of the European Social Survey (2014). Results The multilevel analyses demonstrate that religious attendance is negatively associated with drinking and smoking whereas it is positively associated with eating fruit, eating vegetables, and participating in physical activity cross-nationally. In addition, religious context moderates these associations in a way that lends support to the moral communities thesis. Specifically, the negative association between religious attendance and smoking behavior is stronger in countries with higher levels of religiosity. In a similar vein, the positive association between religious attendance and participating in physical activity is stronger in countries with higher levels of religiosity. However, the positive association between religious attendance and eating fruit is weaker in countries with higher levels of religiosity, which runs counter to the moral communities thesis. Conclusions and Implications The results in the study suggest that religious attendance has beneficial effects on health behavior. By analyzing a large, cross-national dataset, the current study lays a firmer basis for the generalization that religious attendance may discourage negative health behavior and promote positive health behavior. In addition, the current study elaborates on this pattern by documenting the moderating role of national religious context. The findings in the study implicate the importance of considering national context in research on religious involvement and health behavior.
Photoinduced electron transfer in host–guest complexes of double nanohoops
Authors: Stasyuk O. A. , Stasyuk A. J. , Solà M. , Voityuk A. A. 
Published: October 2022

AbstractThe chemistry of hoop-shaped π-conjugated molecules has increased dramatically in recent years. We present here a computational modeling of photoinduced electron transfer processes in a series of host–guest complexes of Twin1, Twin2, and Twin3 double nanohoops with C60 fullerene. According to our findings, charge transfer from cycloparaphenylene (CPP) fragments to C60 is energetically favorable and occurs on a sub-nanosecond time scale. The slow decay of the generated charge-separated state suggests that the complexes may be of interest for organic photovoltaics.
Graphical abstract
Multi-objective evolutionary design of central pattern generator network for biomimetic robotic fish
Authors: Li Wei Kun , Chen Hao , Cui Wei Cheng , Song Chang Hui , Chen Lin Ke 
Published: October 2022

AbstractFish-inspired motion is an important research area with many applications in real-world tasks such as underwater vehicles or robotic fish control design. Owing to robust, smooth, and coordinated oscillatory signals generated by Central Pattern Generators (CPGs) for locomotion control of robots with multiple degrees of freedom, CPGs are the most versatile solution for robotic control systems, especially in robotic fish. However, tuning central pattern generator parameters is difficult for complex mechanical system designs. Besides, most current CPG-based methods only consider one aspect (e.g., speed), which widens the gap between theory and practice in robotic fish design. Also, it may affect the practical applicability of the designed motion model to a certain extent. This paper addresses this problem by constructing a multi-objective evolutionary design of a central pattern generator network to control the proposed biomimetic robotic fish. A new CPG model is proposed to help biomimetic robotic fish swim efficiently. In addition, an efficient multi-objective evolutionary algorithm proposed in our previous work is also applied to assist the biomimetic robotic fish in obtaining faster-swimming speed, good stability of the head, and higher propulsive efficiency simultaneously. Considering that the result of multi-objective optimization is a set of non-dominated solutions rather than a solution, a screening method based on fuzzy theory is adopted to assist decision-makers in selecting the most appropriate solution. Based on this, the control model of biomimetic robotic fish is constructed. The proposed control model is simulated and compared with seven well-known algorithms and a series of robotic fish designs. After that, the proposed control model is validated with extensive experiments on the actual biomimetic robotic fish. Simulations and experiments demonstrate the proposed control model’s effectiveness and good performance, especially when the control model has been applied to the real biomimetic robotic fish.