bluuebunny/crossref_metadata_2025 huggingface dataset:
Rehardening and the Protective Effect of Gamma-Polyglutamic Acid/Nano-Hydroxyapatite Paste on Surface-Etched Enamel
Authors: Teng Nai-Chia , Pandey Aditi , Hsu Wei-Hsin , Huang Ching-Shuan , Lee Wei-Fang , Lee Tzu-Hsin , Yang Thomas Chung-Kuang , Yang Tzu-Sen , Yang Jen-Chang
Published: December 2021

Many revolutionary approaches are on the way pertaining to the high occurrence of tooth decay, which is an enduring challenge in the field of preventive dentistry. However, an ideal dental care material has yet to be fully developed. With this aim, this research reports a dramatic enhancement in the rehardening potential of surface-etched enamels through a plausible synergistic effect of the novel combination of γ-polyglutamic acid (γ-PGA) and nano-hydroxyapatite (nano-HAp) paste, within the limitations of the study. The percentage of recovery of the surface microhardness (SMHR%) and the surface parameters for 9 wt% γ-PGA/nano-HAp paste on acid-etched enamel were investigated with a Vickers microhardness tester and an atomic force microscope, respectively. This in vitro study demonstrates that γ-PGA/nano-HAp treatment could increase the SMHR% of etched enamel to 39.59 ± 6.69% in 30 min. To test the hypothesis of the rehardening mechanism and the preventive effect of the γ-PGA/nano-HAp paste, the surface parameters of mean peak spacing (Rsm) and mean arithmetic surface roughness (Ra) were both measured and compared to the specimens subjected to demineralization and/or remineralization. After the treatment of γ-PGA/nano-HAp on the etched surface, the reduction in Rsm from 999 ± 120 nm to 700 ± 80 nm suggests the possible mechanism of void-filling within a short treatment time of 10 min. Furthermore, ΔRa-I, the roughness change due to etching before remineralization, was 23.15 ± 3.23 nm, while ΔRa-II, the roughness change after remineralization, was 11.99 ± 3.90 nm. This statistically significant reduction in roughness change (p < 0.05) implies a protective effect against the demineralization process. The as-developed novel γ-PGA/nano-HAp paste possesses a high efficacy towards tooth microhardness rehardening, and a protective effect against acid etching.
Adhesion Optimization between Incompatible Polymers through Interfacial Engineering
Authors: Mashayekhi Fatemeh , Bardon Julien , Westermann Stephan , Addiego Frédéric
Published: December 2021

Additive manufacturing technologies such as fused filament fabrication (FFF) open many possibilities in terms of product functionality, including the possibility to integrate a sensor in FFF parts to perform structural health monitoring. In this context, embedding fiber Bragg grating (FBG) sensors into 3D-printed polymeric structures for strain or temperature measurements has attracted increasing attention in recent years. Indeed, offering structural health monitoring functionality can optimize the maintenance cost and increase security compared with conventional materials. However, the transmission of strain and temperature between the polymeric matrix and the FBG polymer jacket requires optimal bonding between them. In this work, the two polymers of interest are polyimide (PI) and poly(lactic acid) (PLA) for the FBG jacket and printed polymer, respectively. The current study investigates the influence of different surface treatment methods on the adhesion between a PI film and a plate of PLA, with PLA and PI being incompatible polymers. The adhesion promotion applied to the PI surface relies on cleaning, plasma activation, roughness modification, or the use of adhesive nanocoating. Bilayer samples of PI-PLA are processed by welding PLA against the treated PI by heating, whereas the adhesion between PI and PLA is measured by peel testing. It is observed that the highest adhesion between PI and PLA is achieved by a combination of mechanical abrasion increasing roughness and the use of polydopamine as an adhesive. This finding is discussed based on a synergetic effect between mechanical interlocking and chemical interaction between the two counterfaces.
Stiff-Elongated Balance of PLA-Based Polymer Blends
Authors: Mendoza-Duarte Mónica Elvira , Estrada-Moreno Iván Alziri , García-Casillas Perla Elvia , Vega-Rios Alejandro
Published: December 2021

In this study, polymer blends with a mechanical property balance based on poly(lactic acid) (PLA), stiff polymer, and elongated polymer were developed. First, the binary blends PLA-elongated polymer [ethyl vinyl acetate (EVA) or polyethylene], or PLA-stiff polymer [polystyrene or poly(styrene-co-methyl methacrylate) (SMMA)] blends were studied using dynamic mechanic analysis (DMA) and analyzed using Minitab statistical software to determine the factors influencing the elongation or stiffness of the blends. Then, ternary blends such as elongation-poly(lactic acid)-stiff, were made from the binary blends that presented optimal performance. In addition, three blends [EVA–PLA–SMMA (EPS)] were elaborated by studying the mixing time (5, 15, and 15 min) and the added time of the SMMA (0, 0, and 10 min). Specifically, the mixing time for EPS 1, EPS 2, and EPS 3 is 5 min, 15 min, and 15 min (first EVA + PLA for 10 min, plus 5 min PLA-EVA and SMMA), respectively. Mechanical, thermal, rheological, and morphological properties of the blends were studied. According to DMA, the results show an increase in elongation at break (εb) and do not decrease the elastic module of poly(lactic acid). Nevertheless, EPS 3 excels in all properties, with an εb of 67% and modulus of elasticity similar to PLA. SMMA has a significant role as a compatibilizing agent and improves PLA processability.
The Greek Hybrid Version of the Assertive Community Treatment Model: A Perspective View between Challenges and Limitations
Authors: Peritogiannis Vaios , Tsoli Fotini
Published: December 2021

The Assertive Community Treatment (ACT) model of care has been long considered to be effective in the management of patients with severe mental illness (SMI) in most Western countries. The implementation of the original ACT model may be particularly challenging in rural and remote communities with small and dispersed populations and lack of adequate mental health services. Rural programs may have to adapt the model and modify the ACT fidelity standards to accommodate these limitations, and this is the rationale for the introduction of more flexible, hybrid ACT models. In rural Greece, the so called Mobile Mental Health Units (MMHUs) are well-established community mental health services. For patients with SMI that have difficulties engaging with treatment services, the new hybrid ACT model has been recently launched. The objective of this manuscript is to present the recently launched hybrid ACT model in rural areas in Greece and to explore the challenges and limitations in its implementation from the experience of a team of mental health professionals with ACT experience. Referral criteria have not been strictly set, but the number of previous relapses and hospitalizations is taken under consideration, as well as the history of poor treatment adherence and disengagement from mental health services. The main limitation in the implementation of the hybrid ACT service is that it has been introduced in several areas in the absence of a pre-existing community mental health service. This may impact referrals and limit focus on the difficult cases of patients with SMI, thus making the evaluation of the model inapplicable.
Combination of Models to Generate the First PAR Maps for Spain
Authors: Ferrera-Cobos Francisco , Vindel Jose M. , Wane Ousmane , Navarro Ana A. , Zarzalejo Luis F. , Valenzuela Rita X.
Published: December 2021

This work addresses the development of a PAR model in the entire territory of mainland Spain. Thus, a specific model is developed for each location of the study field. The new PAR model consists of a combination of the estimates of two previous models that had unequal performances in different climates. In fact, one of them showed better results with Mediterranean climate, whereas the other obtained better results under oceanic climate. Interestingly, the new PAR model showed similar performance when validated at seven stations in mainland Spain with Mediterranean or oceanic climate. Furthermore, all validation slopes ranged from 0.99 to 1.00; the intercepts were less than 3.70 μmol m−2 s−1; the R2 were greater than 0.988, while MBE was closer to zero percent than −0.39%; and RMSE were less than 6.21%. The estimates of the PAR model introduced in this work were then used to develop PAR maps over mainland Spain that represent daily PAR averages of each month and a full year at all locations in the study field.
Driving Forces of the Changes in Vegetation Phenology in the Qinghai–Tibet Plateau
Authors: Liu Xigang , Chen Yaning , Li Zhi , Li Yupeng , Zhang Qifei , Zan Mei
Published: December 2021

Phenological change is an emerging hot topic in ecology and climate change research. Existing phenological studies in the Qinghai–Tibet Plateau (QTP) have focused on overall changes, while ignoring the different characteristics of changes in different regions. Here, we use the Global Inventory Modeling and Mapping Studies (GIMMS3g) normalized difference vegetation index (NDVI) dataset as a basis to discuss the temporal and spatial changes in vegetation phenology in the Qinghai–Tibet Plateau from 1982 to 2015. We also analyze the response mechanisms of pre-season climate factor and vegetation phenology and reveal the driving forces of the changes in vegetation phenology. The results show that: (1) the start of the growing season (SOS) and the length of the growing season (LOS) in the QTP fluctuate greatly year by year; (2) in the study area, the change in pre-season precipitation significantly affects the SOS in the northeast (p < 0.05), while, the delay in the end of the growing season (EOS) in the northeast is determined by pre-season air temperature and precipitation; (3) pre-season precipitation in April or May is the main driving force of the SOS of different vegetation, while air temperature and precipitation in the pre-season jointly affect the EOS of different vegetation. The differences in and the diversity of vegetation types together lead to complex changes in vegetation phenology across different regions within the QTP. Therefore, addressing the characteristics and impacts of changes in vegetation phenology across different regions plays an important role in ecological protection in this region.
Reliable Template Matching for Image Detection in Vision Sensor Systems
Authors: Han Youngmo
Published: December 2021

Template matching is a simple image detection algorithm that can easily detect different types of objects just by changing the template without tedious training procedures. Despite these advantages, template matching is not currently widely used. This is because traditional template matching is not very reliable for images that differ from the template. The reliability of template matching can be improved by using additional information (depths for the template) available from the vision sensor system. Methods of obtaining the depth of a template using stereo vision or a few (two or more) template images or a short template video via mono vision are well known in the vision literature and have been commercialized. In this strategy, this paper proposes a template matching vision sensor system that can easily detect various types of objects without prior training. To this end, by using the additional information provided by the vision sensor system, we study a method to increase the reliability of template matching, even when there is a difference in the 3D direction and size between the template and the image. Template images obtained through the vision sensor provide a depth template. Using this depth template, it is possible to predict the change of the image according to the difference in the 3D direction and the size of the object. Using the predicted changes in these images, the template is calibrated close to the given image, and then template matching is performed. For ease of use, the algorithm is proposed as a closed form solution that avoids tedious recursion or training processes. For wider application and more accurate results, the proposed method considers the 3D direction and size difference in the perspective projection model and the general 3D rotation model.
Association between Psychological Integration and Permanent Supportive Housing: An Exploratory Study with a Focus on Ethnicity
Authors: Crisanti Annette S. , Alonso-Marsden Shelley , Puglisi Leah , Greene Richard Neil , Kincaid Tyler , Dole Jenna L. , Bowen Neal
Published: December 2021

There is limited research on the association between Permanent Supportive Housing (PSH) and psychological integration. The purpose of this study was to explore this association among individuals with mental illness and/or substance use disorder (SUD) enrolled in PSH and to identify variables associated with sense of belonging. Given differences in outcomes of PSH by ethnicity, we were interested to determine if an association existed between PSH and psychological integration and whether it was equally observed among Hispanics and non-Hispanics. The target population included individuals who were chronically homeless and diagnosed with a mental illness and/or SUD. Baseline data were collected upon intake (N = 370). Follow-up data were collected at six-months post baseline (N = 286) and discharge (N = 143). Predictor and control variables included demographics, overall health, PTSD symptom severity, interactions with family and friends, and participation in recovery-related groups in the community. Psychological integration scores increased significantly from the baseline to the 6-month follow-up (t = −3.41, p = 0.003) and between the 6-month follow-up and discharge (t = −2.97, p = 0.007). Significant predictors of psychological integration included overall health, interactions with family and/or friends, PTSD symptoms, income, education, and diagnosis. No differences were observed between Hispanics and non-Hispanics. The findings from this exploratory study suggest that future research in this area is warranted.
Benefits of Quality Management Standards in Organizations
Authors: Zgirskas Arūnas , Ruževičius Juozas , Ruželė Darius
Published: December 2021

The main motives for implementing standards are external and internal. External motives are related with aims to enter new markets, export new goods, meet customer requirements, achieve better corporate image, gain market share, or increase customer satisfaction. Internal motives occur when the organization itself wants to improve the internal system and when processes and benefits depend on the internal motives of the organization. In order to disclose the benefits of quality standards, an empirical study was conducted with quality representatives from organizations in different fields of business activity in Lithuania. The research aimed to investigate what quality management systems prevail in organizations and to reveal the motives and benefits of implementation. The empirical study found that after the implementation of quality management standards (QMS), the quality level improved; the number of incidents and defects (complaints) decreased; employee involvement and perception of quality increased; company profits increased; customer satisfaction increased; and company management was improved.
Understanding Pandemics Such as COVID-19 through the Lenses of the “One Health” Approach
Authors: Puig Blanca , Uskola Araitz
Published: December 2021

This study aims to contribute to research on systemic thinking in biology education, particularly how to best equip pre-service teachers to introduce health problems such as the COVID-19 pandemic using the “One Health” approach. We attempt to explore to what extent a group of pre-service teachers identify our lifestyle and relationships with nature as factors that contribute to the emergence of future pandemics. The research questions are as follows: (1) What dimensions of the One Health approach did the students identify as potential causes that can produce and prevent future pandemics such as the COVID-19 disease? (2) To what extent did the students show a systemic view aligned to the One Health approach? The participants were 43 pre-service elementary teachers working on a set of activities about the COVID-19 pandemic, in which they were asked about the potential causes of and ways to prevent future pandemics. Content analysis of individual written responses is applied for addressing the research questions, focusing on the dimensions of the One Health approach and the level of system thinking reflected. Most participants focused on the human dimension and a few mentioned environmental and animal dimensions, which points to the need to integrate the One Health notion into teacher training.
How to Enhance Sustainability through Technology Usage: An Analysis of Managerial Capabilities and Gender in the Tourism Sector
Authors: Broto Olga , Puig-Denia Alba , Lapiedra Rafael
Published: December 2021

New technologies are enabling not only ever-increasing levels of production efficiency but also socially and environmentally sustainable development. Although sustainability is a multi-disciplinary and multi-sectoral concept, many studies have shown that technology is a significant component. However, both sustainability and the impact of technology use on sustainability ultimately depend on one crucial element: people. Therefore, in this article, as well as analysing the impact of technology use on the sustainability of an organisation, we examine two additional factors that may influence its sustainability: gender and managerial capabilities. Specifically, this paper aims to study the effects of technology on sustainability, focusing on the social dimension of sustainability and on an analysis of how gender and managerial capabilities moderate said relationship. To do so, we carried out a regression analysis on a sample of 195 Spanish hotels with between 3 and 5 stars. The results indicate that managerial capabilities are essential for harnessing technology and that women and men take advantage of its possibilities in different ways.
Charitable Organizations’ Cost Disclosure Mitigates Overhead Aversion
Authors: Suk Kwanho , Mudita Triza
Published: December 2021

Charities face common problems in which donors tend to avoid charities with high overhead rates. This overhead aversion phenomenon forces charities to suppress their overhead spending, which impedes them from performing as best as they can. Substantial research has attempted to mitigate overhead aversion by eliminating the need to cover overhead expenses by donors. The present work takes a different approach and presents a method to reduce overhead aversion and to improve the attitude toward the charity by providing donors with details of the overhead costs. Study 1 demonstrates that disclosing the overhead cost improves donors’ attitude toward the charity. Moreover, the effect is mediated by the donor’s attitude toward the overhead. Study 2 shows that presenting cost information is more effective than the methods proposed by the existing literature (e.g., presenting a message that addresses the importance of overhead). The research contributes to the literature by demonstrating how to communicate with donors to increase their evaluations of the charity.
Open Circular Innovation: How Companies Can Develop Circular Innovations in Collaboration with Stakeholders
Authors: Eisenreich Anja , Füller Johann , Stuchtey Martin
Published: December 2021

A transition toward the circular economy (CE) will be key to addressing future environmental and economic challenges, such as environmental pollution and resource scarcity. However, when introducing circular solutions, companies often face complex and disruptive changes that affect many stakeholders and require new innovation practices. This study investigates open circular innovation by analyzing the status quo of circular innovation, discussing the relevance and role of different stakeholders, and examining approaches for open circular innovation processes. The study employs a qualitative research design, including 14 in-depth interviews with CE and innovation experts. The findings indicate that companies currently focus on closed innovation approaches or collaborate with only one stakeholder at a time when developing circular innovations. Stakeholder groups, such as customers, suppliers, and academia, play a crucial role in the innovation process, whereas direct collaborations with governments and competitors are seen controversially. An open innovation network approach combined with crowdsourcing is regarded as the most promising for developing circular solutions. This study contributes to connecting open innovation with CE research and provides new knowledge at this interface. Additionally, this research gives managers guidance on how to approach open circular innovation and thus supports companies on their way toward a CE.
Influence of Perceived Risk of Blockchain Art Trading on User Attitude and Behavioral Intention
Authors: Liang Pi-Hsia , Chi Yan-Ping
Published: December 2021

In the first half of 2020, the average sales volume of gallery operators declined due to the COVID-19 pandemic and art galleries faced a crisis relating to their sustainable operation. However, crypto art finance, which combines online sales with blockchain, is attracting a considerable amount of attention. Can the use of blockchain solve the problems encountered in today’s art trading market? Is it considered acceptable by participants in the art trading market? What factors affect the behavioral intentions of blockchain technology users? In this study, we discussed the relationship between perceived risks and the three external variables of trust, government support, and auction house initiative, as well as their impacts on user attitudes and behavioral intentions regarding blockchain. The results of this study verified key factors that will help to increase the use of blockchain and solve existing market issues. It will also promote the sustainable operation and development of art enterprises and the market.
Environmental Impacts Related to Closed Mines in Inner Mongolia
Authors: Liu Honglei , Wu Qiang , Chen Jianxin , Wang Mingjun , Zhao Di , Duan Cheng
Published: December 2021

Mining activities, while promoting social and economic development, alter the environments and ecosystems of mining areas. Some of the alterations have negative impacts on the environment, while some have positive impacts. By understanding the positive and negative impacts related to closed mines in Inner Mongolia, this research aims to seek advantages of the positive impacts on the environment and reduce the harm of the negative impacts, extending the mining value chain. The paper reviewed four main negative environmental impacts (NEIs) of closed mines and proposed four positive environmental impacts (PEIs) which include ecosystem services, cultural services, land resources and underground space resources, and energy sources and mineral resources. The paper focused on the environmental problems and the PEI utilization of closed mines in Inner Mongolia with 20 representative cases. It carefully studied the Minda Mine which is a good example to combine several PEI utilization objectives. Multiple PEI objectives, as well as the correlations among different objectives, can benefit closed mines ecologically, economically, and socially. In addition, a three-step framework for closed mine revitalization and the factors affecting the compound PEI objectives are mentioned in the paper.
Near-Fixed Point Results via Ƶ-Contractions in Metric Interval and Normed Interval Spaces
Authors: Sarwar Muhammad , Ullah Misbah , Aydi Hassen , De La Sen Manuel
Published: December 2021

In this paper, using α—admissibility and the concept of simulation functions, some near-fixed point results in the setting of metric interval and normed interval spaces are established. The results have been proved using Z-contractions.
Homotopic Parametric Continuation Method for Determining Stationary States of Chemical Reactors with Dispersion
Authors: Berezowski Marek , Lawnik Marcin
Published: December 2021

Physical processes occurring in devices with distributed variables and a turbulent tide with a dispersion of mass and heat are often modeled using systems of nonlinear equations. Solving such a system is sometimes impossible in an analytical manner. The iterative methods, such as Newton’s method, are not always sufficiently effective in such cases. In this article, a combination of the homotopy method and the parametric continuation method was proposed to solve the system of nonlinear differential equations. These methods are symmetrical, i.e., the calculations can be made by increasing or decreasing the value of the parameters. Thanks to this approach, the determination of all roots of the system does not require any iterative method. Moreover, when the solutions of the system are close to each other, the proposed method easily determines all of them. As an example of the method use a mathematical model of a non-adiabatic catalytic pseudohomogeneous tubular chemical reactor with longitudinal dispersion was chosen.
Research on the Region-Growing and Segmentation Technology of Micro-Particle Microscopic Images Based on Color Features
Authors: Hu Xinyu , Chen Qi , Ye Xuhui , Zhang Daode , Tang Yuxuan , Ye Jun
Published: December 2021

Silkworm microparticle disease is a legal quarantine standard in the detection of silkworm disease all over the world. The current common detection method, the Pasteur manual microscopy method, has a low detection efficiency all over the world. The low efficiency of the current Pasteur manual microscopy detection method makes the application of machine vision technology to detect microparticle spores an important technology to advance silkworm disease research. For the problems of the low contrast, different illumination conditions and complex image background of microscopic images of the ellipsoidal symmetrical shape of silkworm microparticle spores collected in the detection solution, a region growth segmentation method based on microparticle color and grayscale information is proposed. In this method, the fuzzy contrast enhancement algorithm is used to enhance the color information of micro-particles and improve the discrimination between the micro-particles and background. In the HSV color space with stable color, the color information of micro-particles is extracted as seed points to eliminate the influence of light and reduce the interference of impurities to locate the distribution area of micro-particles accurately. Combined with the neighborhood gamma transformation, the highlight feature of the micro-particle target in the grayscale image is enhanced for region growing. Mea6nwhile, the accurate and complete micro-particle target is segmented from the complex background, which reduces the background impurity segmentation caused by a single feature in the complex background. In order to evaluate the segmentation performance, we calculate the IOU of the microparticle sample image segmented by this method with its corresponding true value image, and the experiments show that the combination of color and grayscale features using the region growth technique can accurately and completely segment the microparticle target in complex backgrounds with a segmentation accuracy IOU as high as 83.1%.
On Lommel Matrix Polynomials
Authors: Shehata Ayman
Published: December 2021

The main aim of this paper is to introduce a new class of Lommel matrix polynomials with the help of hypergeometric matrix function within complex analysis. We derive several properties such as an entire function, order, type, matrix recurrence relations, differential equation and integral representations for Lommel matrix polynomials and discuss its various special cases. Finally, we establish an entire function, order, type, explicit representation and several properties of modified Lommel matrix polynomials. There are also several unique examples of our comprehensive results constructed.
Correction: Rauch et al. New Features in Crystal Orientation and Phase Mapping for Transmission Electron Microscopy. Symmetry 2021, 13, 1675
Authors: Rauch Edgar F. , Harrison Patrick , Zhou Xuyang , Herbig Michael , Ludwig Wolfgang , Véron Muriel
Published: December 2021

The authors wish to make the following corrections to this paper [...]
A First-Quantized Model for Unparticles and Gauge Theories around Conformal Window
Authors: Boulanger Nicolas , Buisseret Fabien , Lhost Guillaume
Published: December 2021

We first quantize an action proposed by Casalbuoni and Gomis in 2014 that describes two massless relativistic scalar particles interacting via a conformally invariant potential. The spectrum is a continuum of massive states that may be interpreted as unparticles. We then obtain in a similar way the mass operator for a deformed action in which two terms are introduced that break the conformal symmetry: a mass term and an extra position-dependent coupling constant. A simple Ansatz for the latter leads to a mass operator with linear confinement in terms of an effective string tension σ. The quantized model is confining when σ≠0 and its mass spectrum shows Regge trajectories. We propose a tensionless limit in which highly excited confined states reduce to (gapped) unparticles. Moreover, the low-lying confined bound states become massless in the latter limit as a sign of conformal symmetry restoration and the ratio between their masses and σ stays constant. The originality of our approach is that it applies to both confining and conformal phases via an effective interacting model.
Near-AdS2 Spectroscopy: Classifying the Spectrum of Operators and Interactions in N=2 4D Supergravity
Authors: Castro Alejandra , Verheijden Evita
Published: December 2021

We describe holographic properties of near-AdS2 spacetimes that arise within spherically symmetric configurations of N=2 4D U(1)4 supergravity for both gauged and ungauged theories. These theories pose a rich space of AdS2×S2 backgrounds, and their responses in the near-AdS2 region are not universal. In particular, we show that the spectrum of operators is dual to the matter fields, and their cubic interactions are sensitive to properties of the background and the theory it is embedded in. The properties that have the most striking effect are whether the background is supersymmetric or not and if the theory is gauged or ungauged. Interesting effects are due to the appearance of operators with Δ<2, which depending on the background, can lead to, for instance, instabilities or extremal correlators. The resulting differences will have an imprint on the quantum nature of the microstates of near-extremal black holes, reflecting that not all extremal black holes respond equally when kicked away from extremality.
Perspective of Direct Search for Dark Components in the Universe with Multi-Wavelengths Stimulated Resonant Photon-Photon Colliders
Authors: Homma Kensuke , Kirita Yuri , Ishibashi Fumiya
Published: December 2021

We explore a possibility to detect dark components in the Universe via stimulated photon–photon collisions by focusing two-frequency coherent electromagnetic fields in a vacuum. Those fields are assumed to be pulsed reaching Fourier transform limits in near-infrared, THz, and GHz frequency bands, respectively. The numbers of signal photons as a result of exchange of a pseudoscalar-type pseudo Nambu–Goldstone boson have been evaluated in the individual frequency bands. Within presently available beam intensities, we found that the QCD axion scenarios are thoroughly testable in the mass range 10−6–100 eV based on the common method. Furthermore, we show a possibility to reach the weak coupling domain even beyond the gravitationally weak coupling strength if pulse compression in the GHz band is realized in the near future development.
Current Take on Systemic Sclerosis Patients’ Vaccination Recommendations
Authors: Murdaca Giuseppe , Noberasco Giovanni , Olobardi Dario , Lunardi Claudio , Maule Matteo , Delfino Lorenzo , Triggiani Massimo , Cardamone Chiara , Benfaremo Devis , Moroncini Gianluca , Vacca Angelo , Susca Nicola , Gangemi Sebastiano , Quattrocchi Paola , Sticchi Laura , Icardi Giancarlo , Orsi Andrea
Published: December 2021

Systemic sclerosis (SSc) is a rare autoimmune inflammatory rheumatic disease. The prevalence of SSc ranges from 7 to 700 cases per million worldwide. Due to multiple organ involvement and constant inflammatory state, this group of patients presents an increased risk of infectious diseases. This paper aimed to gather the up-to-date evidence on vaccination strategies for patients with SSc and to be a useful tool for the prevention and management of infectious diseases. The authors conducted a scoping review in which each paragraph presents data on a specific vaccine’s safety, immunogenicity, and efficacy. The work deals with the following topics: SARS-CoV-2, seasonal influenza, S. pneumoniae, HAV, HBV, HZV, N. meningitidis, H. influenzae, HPV, and diphtheria-tetanus-pertussis.
What Influences Health Professionals’ Recommendations for Non-Scheduled Childhood Vaccinations? A Qualitative Study of Health Professionals’ Perspectives in Three Provinces of China
Authors: Cheng Jiejie , Lin Shiyu , Wu Chaoqi , Howard Natasha , Zou Jiatong , Sun Fiona Yueqian , Sun Mei , Chantler Tracey
Published: December 2021

Recommendations by health professionals are important for vaccines that are not included in national schedules. This study explored health professionals’ perspectives on recommending non-scheduled (user-fee) childhood vaccinations in China, identifying key influences on professionals’ interactions with caregivers. We conducted individual semi-structured interviews with 20 health professionals from three provinces in China and analyzed data thematically using deductive and inductive coding. Health professionals from all three provinces were uncomfortable about being perceived to encourage parents to accept vaccines that incurred a fee. They provided information about non-scheduled vaccines but emphasized parental autonomy in decision-making. Rural parents were less aware of unscheduled vaccines and health professionals were more likely to encourage parents living in more affluent areas to consider these vaccines; varicella vaccine was preferred by parents as a way of preventing school absence. Economic incentives for unscheduled vaccines were given to staff at most study sites, although the amount given varied widely. These variations meant that staff receiving lower incentives were not motivated to promote non-scheduled vaccines if their workload was high; on the contrary, those receiving higher incentives were more likely to promote these vaccines. Health professionals need more guidance on how to recommend unscheduled vaccines in an informative, positive and appropriate manner. It is evident that parents’ awareness of these vaccines, and their economic circumstances, influence vaccinators recommendation practice. Economic incentives prompted health professionals to recommend non-scheduled vaccines; however, the application of such staff incentives varied widely in China. To adopt appropriate economic incentives, professional organizations should develop protocols for the use of incentives that account for their influence on recommendation practices. Suitable recommendation policy needs to balance basic salaries with performance-based incentives, consider overall workload, and include monitoring and evaluation of economic incentives.
Establishment of an ELISpot Assay to Detect Cellular Immunity against S. pneumoniae in Vaccinated Kidney Transplant Recipients
Authors: Gäckler Anja , Mülling Nils , Völk Kim , Wilde Benjamin , Eisenberger Ute , Rohn Hana , Horn Peter A. , Witzke Oliver , Lindemann Monika
Published: December 2021

In organ transplant recipients, the rate of invasive pneumococcal diseases is 25 times greater than in the general population. Vaccination against S. pneumoniae is recommended in this cohort because it reduces the incidence of this severe form of pneumococcal infection. Previous studies indicate that transplant recipients can produce specific antibodies after pneumococcal vaccination. However, it remains unclear if vaccination also induces specific cellular immunity. In the current study on 38 kidney transplant recipients, we established an interferon-γ ELISpot assay that can detect serotype-specific cellular responses against S. pneumoniae. The results indicate that sequential vaccination with the conjugated vaccine Prevenar 13 and the polysaccharide vaccine Pneumovax 23 led to an increase of serotype-specific cellular immunity. We observed the strongest responses against the serotypes 9N and 14, which are both components of Pneumovax 23. Cellular responses against S. pneumoniae correlated positively with specific IgG antibodies (r = 0.32, p = 0.12). In conclusion, this is the first report indicating that kidney transplant recipients can mount specific cellular responses after pneumococcal vaccination. The ELISpot we established will allow for further investigations. These could help to define, for example, factors influencing specific cellular immunity in immunocompromised cohorts or the duration of cellular immunity after vaccination.
Impact of Fully Coupled Hydrology-Atmosphere Processes on Atmosphere Conditions: Investigating the Performance of the WRF-Hydro Model in the Three River Source Region on the Tibetan Plateau, China
Authors: Li Guangwei , Meng Xianhong , Blyth Eleanor , Chen Hao , Shu Lele , Li Zhaoguo , Zhao Lin , Ma Yingsai
Published: December 2021

The newly developed WRF-Hydro model is a fully coupled atmospheric and hydrological processes model suitable for studying the intertwined atmospheric hydrological processes. This study utilizes the WRF-Hydro system on the Three-River source region. The Nash-Sutcliffe efficiency for the runoff simulation is 0.55 compared against the observed daily discharge amount of three stations. The coupled WRF-Hydro simulations are better than WRF in terms of six ground meteorological elements and turbulent heat flux, compared to the data from 14 meteorological stations located in the plateau residential area and two flux stations located around the lake. Although WRF-Hydro overestimates soil moisture, higher anomaly correlation coefficient scores (0.955 versus 0.941) were achieved. The time series of the basin average demonstrates that the hydrological module of WRF-hydro functions during the unfrozen period. The rainfall intensity and frequency simulated by WRF-Hydro are closer to global precipitation mission (GPM) data, attributed to higher convective available potential energy (CAPE) simulated by WRF-Hydro. The results emphasized the necessity of a fully coupled atmospheric-hydrological model when investigating land-atmosphere interactions on a complex topography and hydrology region.
Possibility of Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) through Wastewater in Developing Countries
Authors: Tandukar Sarmila , Khanal Rajendra , Manandhar Rija , Pandey Ashok , Sthapit Niva , Sherchan Samendra P. , Haramoto Eiji
Published: December 2021

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was detected in Wuhan, China. The clinical manifestation of COVID-19 varies from asymptomatic to severe infection. The World Health Organization has reported over 248 million cases and more than 5 million deaths worldwide due to COVID-19. Additionally, developing countries are still struggling to achieve the rapid diagnosis of suspected cases to break the chain of transmission of COVID-19. There may be undiagnosed or missing cases in these countries. Various studies have reported that the SARS-CoV-2 can be discharged in the stool and other bodily fluids. Moreover, it is possible that SARS-CoV-2 can be transmitted in the environment via municipal wastewater. In developing countries, such as Nepal, the molecular-based diagnosis of SARS-CoV-2 for the entire population is not practical owing to insufficient diagnostic material and budgetary constraints. Wastewater-based epidemiology (WBE) is a promising public health surveillance tool for the early warning of disease outbreaks and the understanding the prevalence of viruses for the development of intervention measures. This study highlights the importance of the utilization of WBE as an alternative tool for the mass detection of SARS-CoV-2 RNA in wastewater.
Quantitative Assessment of Uncertainties and Sensitivities in the Estimation of Life Loss Due to the Instantaneous Break of a Hypothetical Dam in Switzerland
Authors: Kalinina Anna , Spada Matteo , Burgherr Peter
Published: December 2021

High safety standards of operators and regulators for dams in Switzerland require periodic assessments of risk mitigation measures at dams. Therefore, risk assessments need to include the estimation of life loss (LL) due to a potential dam break. This study demonstrated the benefits of applying the HEC-LIFESim software for modelling LL due to the instantaneous break of a hypothetical dam in Switzerland. HEC-LIFESim overcomes limitations of empirical methods by modelling evacuation and warning processes. Furthermore, for credible LL estimates, metamodelling was used to quantify uncertainty in model parameters. Polynomial chaos expansion (PCE) was applied to approximate the LL model of HEC-LIFESim using only 550 runs. Uncertainty in the model inputs was propagated through the metamodel to quantify uncertainty in the LL estimates. Finally, a global sensitivity analysis was performed by calculating Sobol’ and Borgonovo indices. The results demonstrate that the three-parameter population in a locality within all considered localities, fatality rate in the chance zone, and warning issuance delay contributed most to the variability of the LL estimates. The application of the proposed methodology can support risk management by providing detailed and accurate risk measures and helping in prioritizing safety measures to be considered and implemented.
Energy Exchange and Evapotranspiration over the Ejina Oasis Riparian Forest Ecosystem with Different Land-Cover Types
Authors: Wang Weizhen , Xu Feinan , Wang Jiemin
Published: December 2021

Investigating the energy and water vapor exchange in oasis riparian forest ecosystems is of significant importance to improve scientific understanding of land surface processes in extreme arid regions. The Heihe Watershed Allied Telemetry Experimental Research (HiWATER) provided many observations of water vapor and heat fluxes from riparian forest ecosystem by using a network of eddy-covariance (EC) systems installed over representative surfaces in the Ejina Oasis, which is located in the downstream areas of the Heihe River Basin, northwestern China. Based on EC flux measurements and meteorological data performed at five stations and covering representative surface types of Populus euphratica tree with associated Tamarix chinensis shrub, Tamarix chinensis shrubland, cantaloupe cropland, and barren-land, this study explored the spatio-temporal patterns of heat and water vapor fluxes over the Ejina Oasis riparian forest ecosystem with five different surface types over the course of a growing season in 2014. Energy balance closure of the flux data was evaluated; footprint analysis for each EC site was also performed. Results showed that energy balance closure for the flux data was reasonably good, with average energy balance ratio (EBR) of 1.03. The seasonal variations in net radiation (Rn), latent (LE), and sensible heat flux (H) over the five contrasting surfaces were similar, and a reverse seasonal change was observed in energy partitioning into LE and H. Remarkable differences in Rn, LE, and H between the five surfaces were explored preliminarily, associated closely with the soil properties and foliage phenology. Over the growing season (May–October) in 2014, the total ET ranged 622–731 mm for mixed forest of P. euphratica trees with associated T. chinensis shrubs with average daily ET of 3.6–4.2 mm; ET from T. chinensis shrubland was about 541 mm, with average daily ET of 3.6 mm. ET for barren-land was 195 mm. The total ET in irrigated cantaloupe cropland with plastic mulch was 431 mm for its four-month growing period with a total average of 3.8 mm d−1. Determination of ET over riparian forest ecosystem helps to improve reasonable use of limited water resource in the Ejina Oasis.
A Detention Reservoir Reduced Combined Sewer Overflows and Bathing Water Contamination Due to Intense Rainfall
Authors: Romei Marco , Lucertini Matteo , Esposito Renzoni Enrico , Baldrighi Elisa , Grilli Federica , Manini Elena , Marini Mauro , Iagnemma Luca
Published: December 2021

Combined sewer overflows (CSOs) close to water bodies are a cause of grave environmental concern. In the past few decades, major storm events have become increasingly common in some regions, and the meteorological scenarios predict a further increase in their frequency. Consequently, CSO control and treatment according to best practices, the adoption of innovative treatment solutions and careful sewer system management are urgently needed. A growing number of publications has been addressing the quality, quantity and types of available water management and treatment options. In this study, we describe the construction of an innovative detention reservoir along the Arzilla River (Fano, Italy) whose function is to store diluted CSO wastewater exceeding the capacity of a combined drain system. River water sampling and testing for microbial contamination downstream of the tank after a heavy rain event found a considerable reduction of fecal coliform concentrations, which would have compounded the impact of stormwater on the bathing site. These preliminary results suggest that the detention tank exerted beneficial environmental effects on bathing water by lowering the microbial load.
Evaluation of Groundwater Suitability for Irrigation and Drinking Purposes in an Agricultural Region of the North China Plain
Authors: Guo Haipeng , Li Muzi , Wang Lu , Wang Yunlong , Zang Xisheng , Zhao Xiaobing , Wang Haigang , Zhu Juyan
Published: December 2021

Groundwater is an irreplaceable resource for irrigation and drinking in the North China Plain, and the quality of groundwater is of great importance to human health and social development. In this study, using the information from 59 groups of groundwater samples, groundwater quality conditions for irrigation and drinking purposes in an agricultural region of the North China Plain were analyzed. The groundwater belongs to a Quaternary loose rock pore water aquifer. The depths of shallow groundwater wells are 20–150 m below the surface, while the depths of deep groundwater wells are 150–650 m. The sodium adsorption ratio (SAR), sodium percentage (%Na), residual sodium carbonate (RSC), magnesium hazard (MH), permotic index (PI) and electrical conductivity (EC) were selected as indexes to evaluate the shallow groundwater suitability for irrigation. What’s more, the deep groundwater suitability for drinking was assessed and the human health risk of excessive chemicals in groundwater was studied. Results revealed that SAR, Na% and RSC indexes indicated the applicability of shallow groundwater for agricultural irrigation in the study area. We found 57.1% of the shallow groundwater samples were located in high salinity with a low sodium hazard zone. The concentrations of fluorine (F−) in 79.0% of the deep groundwater samples and iodine (I−) in 21.1% of the deep groundwater samples exceeded the permissible limits, respectively. The total hazard quotient (HQ) values of fluorine in over half of the deep groundwater samples exceeded the safety limits, and the health risk degree was ranked from high to low as children, adult females and adult males. In addition to natural factors, the soil layer compression caused by groundwater over-exploitation increased the fluorine concentration in groundwater. Effective measures are needed to reduce the fluorine content of the groundwater of the study area.