bluuebunny/crossref_metadata_2025 huggingface dataset:
A Fast and Lightweight Detection Network for Multi-Scale SAR Ship Detection under Complex Backgrounds
Authors: Yu Jimin , Zhou Guangyu , Zhou Shangbo , Qin Maowei
Published: December 2021

It is very difficult to detect multi-scale synthetic aperture radar (SAR) ships, especially under complex backgrounds. Traditional constant false alarm rate methods are cumbersome in manual design and weak in migration capabilities. Based on deep learning, researchers have introduced methods that have shown good performance in order to get better detection results. However, the majority of these methods have a huge network structure and many parameters which greatly restrict the application and promotion. In this paper, a fast and lightweight detection network, namely FASC-Net, is proposed for multi-scale SAR ship detection under complex backgrounds. The proposed FASC-Net is mainly composed of ASIR-Block, Focus-Block, SPP-Block, and CAPE-Block. Specifically, without losing information, Focus-Block is placed at the forefront of FASC-Net for the first down-sampling of input SAR images at first. Then, ASIR-Block continues to down-sample the feature maps and use a small number of parameters for feature extraction. After that, the receptive field of the feature maps is increased by SPP-Block, and then CAPE-Block is used to perform feature fusion and predict targets of different scales on different feature maps. Based on this, a novel loss function is designed in the present paper in order to train the FASC-Net. The detection performance and generalization ability of FASC-Net have been demonstrated by a series of comparative experiments on the SSDD dataset, SAR-Ship-Dataset, and HRSID dataset, from which it is obvious that FASC-Net has outstanding detection performance on the three datasets and is superior to the existing excellent ship detection methods.
Effects of the 12 May 2021 Geomagnetic Storm on Georeferencing Precision
Authors: Valdés-Abreu Juan Carlos , Díaz Marcos A. , Báez Juan Carlos , Stable-Sánchez Yohadne
Published: December 2021

In this work, we present the positioning error analysis of the 12 May 2021 moderate geomagnetic storm. The storm happened during spring in the northern hemisphere (fall in the south). We selected 868 GNSS stations around the globe to study the ionospheric and the apparent position variations. We compared the day of the storm with the three previous days. The analysis shows the global impact of the storm. In the quiet days, 93% of the stations had 3D errors less than 10 cm, while during the storm, only 41% kept this level of accuracy. The higher impact was over the Up component. Although the stations have algorithms to correct ionospheric disturbances, the inaccuracies lasted for nine hours. The most severe effects on the positioning errors were noticed in the South American sector. More than 60% of the perturbed stations were located in this region. We also studied the effects produced by two other similar geomagnetic storms that occurred on 27 March 2017 and on 5 August 2019. The comparison of the storms shows that the effects on position inaccuracies are not directly deductible neither from the characteristics of geomagnetic storms nor from enhancement and/or variations of the ionospheric plasma.
MEMS-Scanner Testbench for High Field of View LiDAR Applications
Authors: Baier Valentin , Schardt Michael , Fink Maximilian , Jakobi Martin , Koch Alexander W.
Published: December 2021

LiDAR sensors are a key technology for enabling safe autonomous cars. For highway applications, such systems must have a long range, and the covered field of view (FoV) of >45° must be scanned with resolutions higher than 0.1°. These specifications can be met by modern MEMS scanners, which are chosen for their robustness and scalability. For the automotive market, these sensors, and especially the scanners within, must be tested to the highest standards. We propose a novel measurement setup for characterizing and validating these kinds of scanners based on a position-sensitive detector (PSD) by imaging a deflected laser beam from a diffuser screen onto the PSD. A so-called ray trace shifting technique (RTST) was used to minimize manual calibration effort, to reduce external mounting errors, and to enable dynamical one-shot measurements of the scanner’s steering angle over large FoVs. This paper describes the overall setup and the calibration method according to a standard camera calibration. We further show the setup’s capabilities by validating it with a statically set rotating stage and a dynamically oscillating MEMS scanner. The setup was found to be capable of measuring LiDAR MEMS scanners with a maximum FoV of 47° dynamically, with an uncertainty of less than 1%.
Conformal Load-Bearing Antenna Structures—Mechanical Loading Considerations
Authors: Healey Rowan , Nicholson Kelvin J. , Wang John , Patniotis Joel E. , Lynch Taylor , Chiu Wing K.
Published: December 2021

One of the important functions of antennas is to facilitate wireless communication. The IEEE 802.11 is part of the IEEE802 set of local area network technical standards, and specifies the media access control and physical layer protocols for implementing wireless local area network computer communication. The network physical layer protocol with a centre frequency of 2.4 GHz has a bandwidth of 22 MHz. A conformal load-bearing antenna structure (CLAS) facilitating this communication band that is tuned to 2.4 GHz must remain within this bandwidth. The aim of this paper is to investigate the effects of mechanical loading imposed on a load-bearing patch antenna with respect to its ability to remain within the specified bandwidth. The mechanical loading configurations considered include tensile, biaxial, and twisting. This paper will also report on the response of the antenna patch to the presence of a disbond between the metallised antenna and its substrate, which can arise due to fabrication anomalies and operational usage. This numerical work will assist in the design of experimental testing of the mechanical and electromagnetic properties of an embedded CLAS, which will ultimately be used to inform selection of appropriate regions to place patch antennas on load-bearing deformable surfaces.
Curvature Detection with an Optoelectronic Measurement System Using a Self-Made Calibration Profile
Authors: Thorwartl Christoph , Stöggl Thomas , Teufl Wolfgang , Holzer Helmut , Kröll Josef
Published: December 2021

So far, no studies of material deformations (e.g., bending of sports equipment) have been performed to measure the curvature (w″) using an optoelectronic measurement system OMS. To test the accuracy of the w″ measurement with an OMS (Qualisys), a calibration profile which allowed to: (i) differentiates between three w″ (0.13˙ m−1, 0.2 m−1, and 0.4 m−1) and (ii) to explore the influence of the chosen infrared marker distances (50 mm, 110 mm, and 170 mm) was used. The profile was moved three-dimensional at three different mean velocities (vzero = 0 ms−1, vslow = 0.2 ms−1, vfast  = 0.4 ms−1) by an industrial robot. For the accuracy assessment, the average difference between the known w″ of the calibration profile and the detected w″ from the OMS system, the associated standard deviation (SD) and the measuring point with the largest difference compared to the defined w″ (=maximum error) were calculated. It was demonstrated that no valid w″ can be measured at marker distances of 50 mm and only to a limited extent at 110 mm. For the 170 mm marker distance, the average difference (±SD) between defined and detected w″ was less than 1.1 ± 0.1 mm−1 in the static and not greater than −3.8 ± 13.1 mm−1 in the dynamic situations. The maximum error in the static situation was small (4.0 mm−1), while in the dynamic situations there were single interfering peaks causing the maximum error to be larger (−30.2 mm−1 at a known w″ of 0.4 m−1). However, the Qualisys system measures sufficiently accurately to detect curvatures up to 0.13˙ m−1 at a marker distance of 170 mm, but signal fluctuations due to marker overlapping can occur depending on the direction of movement of the robot arm, which have to be taken into account.
Validation of Visually Identified Muscle Potentials during Human Sleep Using High Frequency/Low Frequency Spectral Power Ratios
Authors: Modarres Mo H. , Elliott Jonathan E. , Weymann Kristianna B. , Pleshakov Dennis , Bliwise Donald L. , Lim Miranda M.
Published: December 2021

Surface electromyography (EMG), typically recorded from muscle groups such as the mentalis (chin/mentum) and anterior tibialis (lower leg/crus), is often performed in human subjects undergoing overnight polysomnography. Such signals have great importance, not only in aiding in the definitions of normal sleep stages, but also in defining certain disease states with abnormal EMG activity during rapid eye movement (REM) sleep, e.g., REM sleep behavior disorder and parkinsonism. Gold standard approaches to evaluation of such EMG signals in the clinical realm are typically qualitative, and therefore burdensome and subject to individual interpretation. We originally developed a digitized, signal processing method using the ratio of high frequency to low frequency spectral power and validated this method against expert human scorer interpretation of transient muscle activation of the EMG signal. Herein, we further refine and validate our initial approach, applying this to EMG activity across 1,618,842 s of polysomnography recorded REM sleep acquired from 461 human participants. These data demonstrate a significant association between visual interpretation and the spectrally processed signals, indicating a highly accurate approach to detecting and quantifying abnormally high levels of EMG activity during REM sleep. Accordingly, our automated approach to EMG quantification during human sleep recording is practical, feasible, and may provide a much-needed clinical tool for the screening of REM sleep behavior disorder and parkinsonism.
Providing an Authentic Voice? Understanding Migrant Homelessness through Critical Poetic Inquiry
Authors: Serpa Regina C.
Published: December 2021

Ethical considerations in social research tend to focus on data collection rather than data interpretation and representation. The tendency of qualitative research to limit ethical concern to confidentiality and anonymity in the representation of data, combined with the academic convention of maintaining an objective distance from the object of study, creates tensions for the reflexive researcher. On the one hand, they must meet academic expectations to communicate findings with demonstrable reliability and validity. At the same time, there are deontological obligations—to protect study participants (and groups they represent) from harm, to honour their contributions accurately and to report with integrity. This article argues for the use of poetic ‘re-presentation’, both as a form of inquiry and unique mode of data representation and as a means of obtaining a deeper understanding of the experience of migration and homelessness. By integrating insights from Critical Race Methodology, the article deploys the concept of ‘counter-storytelling’ through poetic inquiry. The article concludes that this approach enables a nuanced, insightful approach, allowing the authentic voice of migrant groups negotiating the complexities of homelessness to be clearly articulated and heard.
Kinetic and Kinematic Characteristics of Proficient and Non-Proficient 2-Point and 3-Point Basketball Shooters
Authors: Cabarkapa Dimitrije , Fry Andrew C. , Cabarkapa Damjana V. , Myers Chloe A. , Jones Grant T. , Deane Michael A.
Published: December 2021

The purpose of this study was to examine kinetic and kinematic characteristics of various types of 2-point and 3-point basketball shooting approaches and determine which variables have the greatest contribution in discriminating proficient (PRO) from non-proficient (N-PRO) shooters. While standing on a force plate, twenty-nine recreationally active males performed a total of 1740 shots by utilizing stationary and step-in shooting approaches. Two high-definition cameras were used to simultaneously capture kinematic parameters of shooting motions. The type of shooting approach showed as a non-influential factor. During the preparatory phase of the shooting motion, PRO 2-point shooters demonstrated higher elbow and basketball height placements, greater flexion in the shoulder and elbow joints while attaining greater release and entry ball angles during the release phase. PRO 3-point shooters demonstrated greater elbow flexion, higher basketball placement, and less hip flexion during the preparatory phase while attaining greater heel, release, and trajectory heights during the release phase. When entered into a full-model discriminant function analysis, elbow angle, elbow height, and release angle variables correctly classified PRO from N-PRO 2-point shooters in 62.1% of cases and hip angle, heel height, and elbow angle variables correctly classified PRO from N-PRO 3-point shooters in 81.6% of cases.
Evidence for Ovarian and Testicular Toxicities of Cadmium and Detoxification by Natural Substances
Authors: Massányi Martin , Satarug Soisungwan , Madeddu Roberto , Stawarz Robert , Massányi Peter
Published: December 2021

Cadmium (Cd) is an environmental toxicant, capable of reducing mitochondrial ATP production and promoting the formation of reactive oxygen species (ROS) with resultant oxidative stress conditions. The ovary and testis are the primary gonads in which female gametes (oocytes) and male gametes (spermatozoa), estrogen and testosterone are produced. These organs are particularly susceptible to Cd cytotoxicity due to their high metabolic activities and high energy demands. In this review, epidemiological and experimental studies examining Cd toxicities in gonads are highlighted together with studies using zinc (Zn), selenium (Se), and natural substances to reduce the effects of Cd on follicular genesis and spermatogenesis. Higher blood concentrations of Cd ([Cd]b) were associated with longer time-to-pregnancy in a prospective cohort study. Cd excretion rate (ECd) as low as 0.8 μg/g creatinine was associated with reduced spermatozoa vitality, while Zn and Se may protect against spermatozoa quality decline accompanying Cd exposure. ECd > 0.68 µg/g creatinine were associated with an increased risk of premature ovarian failure by 2.5-fold, while [Cd]b ≥ 0.34 µg/L were associated with a 2.5-fold increase in the risk of infertility in women. Of concern, urinary excretion of Cd at 0.68 and 0.8 μg/g creatinine found to be associated with fecundity are respectively 13% and 15% of the conventional threshold limit for Cd-induced kidney tubular effects of 5.24 μg/g creatinine. These findings suggest that toxicity of Cd in primary reproductive organs occurs at relatively low body burden, thereby arguing for minimization of exposure and environmental pollution by Cd and its transfer to the food web.
Estimating the Impacts of Non-Tariff Measures in the Indian Ocean Rim Association
Authors: Akintola Abdallah , Boughanmi Houcine , Antimiani Alessandro , Zaibet Lokman , Kotagama Hemesiri
Published: December 2021

In recent years, the Indian Ocean Rim Association has witnessed an increasing trend in the use of non-tariff measures (NTMs). This study evaluated the impact of NTMs in the Indian Ocean Rim Association through estimations of their ad valorem equivalents at the HS chapter and country levels. A gravity model using NTM count data (intensity) was specified and estimated to derive the importer-specific ad valorem equivalents for the four (4) most used NTMs in the region. The results showed the presence of both import-impeding and import-promoting effects of NTMs; however, the import-impeding effects dominated in the region. The quantitative restriction and safeguard measures were more restrictive compared to the sanitary and phytosanitary measures and technical barriers to trade. This was expected since quantitative restrictions are trade-distorting by design. This calls for reforming trade policy in the region toward NTMs that are more transparent and trade enhancing for successful subsequent trade negotiations in the Indian Ocean Rim Association, which would support the sustainable economic development of the region.
The Priority Given to Sustainability by Industrial Designers within an Industry 4.0 Paradigm
Authors: Kuys Blair , Koch Christoph , Renda Gianni
Published: December 2021

Industrial design is intrinsically linked to manufacturing; however, what is required of industrial design to adapt to new changes brought on by Industry 4.0 in manufacturing is unknown. Current literature gives little insight into how industrial designers need to evolve to the current developments in manufacturing to remain value drivers in an Industry 4.0 paradigm. There is minimal research describing the link between industrial design, Industry 4.0 and the effect this will have on sustainability. We conducted an extensive survey of 190 respondents from 53 countries to establish the present state of industrial design practice globally and to better understand the priority sustainability is given by practicing industrial designers. Qualitative data showed a desire for improved sustainable processes; however, quantitative data contradicted this, showing “sustainability” as one of the lowest ranked areas of importance in design practice for industrial designers. While sustainability—especially in manufacturing—demands more prominent change as industrial design adapts to an Industry 4.0 manufacturing paradigm, it seems that junior industrial designers do not currently see this as a priority.
Multi-Criteria Optimization of Mechanized Earth Processes and Its Impact on Economic and Environmental Sustainability
Authors: Gašparík Jozef , Motyčka Vít , Šťastný Patrik , Szalayová Sylvia
Published: December 2021

The optimization of mechanized construction processes has a very important impact on economic and environmental sustainability. Our analyses evaluate key factors that affect the quality, environment, and economics of mechanized earth processes. This paper also presents approaches in this area in Slovakia and abroad, and existing mathematical models for the optimal design of earthmoving machinery. The main goals of our paper are the proposal of a method of machine selection for excavation including a multi-criteria optimization method with software support and application and verification of this method in a model example. A total of nine scientific methods applied in our paper are analyzed. The key results of the research work in terms of the set goals are given in the Conclusion, where the key research results are summarized. The results of the research work presented in the paper have a direct impact on economic and environmental sustainability, which can be achieved already in the phase of construction preparation. Applications of information technologies in multi-criteria optimization of the selection of construction machines for earth processes enables their use in the BIM (building information modeling) model.
A Multicriteria Approach to Modelling Pandemic Response under Strong Uncertainty: A Case Study in Jordan
Authors: Ekenberg Love , Mihai Adriana , Fasth Tobias , Komendantova Nadejda , Danielson Mats , Al-Salaymeh Ahmed
Published: December 2021

In responding to the COVID-19 pandemic, evidence-based policymaking and risk mitigation have been confronted with limited decision-making mechanisms under conditions of increased uncertainty. Such methods are particularly called for in contexts where reliable data to a large extent are missing and where the chosen policy would impact a variety of sectors. In this paper, we present an application of an integrated decision-making framework under ambiguity on how to contain the COVID-19 virus spread from a national policy point of view. The framework was applied in Jordan and considered both local epidemiologic and socioeconomic estimates in a multistakeholder multicriteria context. In particular, the cocreation process for eliciting attitudes, perceptions, and preferences amongst relevant stakeholder groups has often been missing from policy response to the pandemic, even though the containment measures’ efficiency largely depends on their acceptance by the impacted groups. For this, there exist several methods attempting to elicit criteria weights, values, and probabilities ranging from direct rating and point allocation methods to more elaborated ones. To facilitate the elicitation, some of the approaches utilise elicitation methods whereby prospects are ranked using ordinal importance information, while others use cardinal information. Methods are sometimes assessed in case studies or more formally by utilising systematic simulations. Furthermore, the treatment of corresponding methods for the handling of the alternative’s values has sometimes been neglected. We demonstrate in our paper an approach for cardinal ranking in policy decision making in combination with imprecise or incomplete information concerning probabilities, weights, and consequences or alternative values. The results of our cocreation process are aggregated in the evaluation of alternative mitigation measures for Jordan, showcasing how a multistakeholder multicriteria decision mechanism can be employed in current or future challenges of pandemic situations, to facilitate management and mitigation of similar crises in the future, in any region.
Development Clusters for Small Places and Rural Development for Territorial Cohesion?
Authors: Medeiros Eduardo
Published: December 2021

This article proposes an alternative policy development approach for territories encompassing rural areas with small urban settlements or ‘small places’, which normally suffer from lagging territorial development trends. The proposed ‘Development Clusters for Small Places’ approach draws on the potential of all places to further their development via municipal clustering, based on four analytic dimensions: (i) existing functional areas; (ii) similarities in economic circularity and specialisation; (iii) presence of ongoing territorial and governance cooperation processes; and (iv) spatial physical connectivity and accessibility. Besides a theoretical overview of this policy approach, the article analyses concrete examples of its potential implementation in two case studies: Alentejo in Portugal and Innlandet in Norway. The findings highlight the potential advantages of municipal clustering over current mainstream regional development rationales to implement endogenous rural development in a supra-municipal scale, thus increasing institutional thickness and policy influence towards a more territorial cohesive region.
The Influence of Energy Price Distortion on Region Energy Efficiency in China’s Energy-Intensive Industries from the Perspectives of Urban Heterogeneity
Authors: Wang Xiaolei , Wang Hui , Liang Shuang , Xu Shichun
Published: December 2021

As typical representatives of China’s industrial sectors, energy intensive industries are the focus of energy conservation. This study constructs a trans-log production function and stochastic frontier analysis model to analyze the impact of energy price distortion on total factor energy efficiency in energy intensive industries on the city level. The results reveal that the phenomenon of energy price distortion existed in all cities from 2003 to 2019, with an average degree of −0.175; and the total factor energy efficiency in China’s energy intensive sectors showed an upward trend, with an average efficiency of 0.729. Further deep analysis of affecting mechanisms concluded that the price distortion showed a significant restraining effect on improving energy efficiency, while the improvement of urban agglomeration systems had an opposite effect. In addition, energy consumption structure, foreign trade, and infrastructure construction are positively correlated with energy efficiency. Therefore, promoting the market-oriented reform of China’s energy market is of great significance to improve city energy efficiency and build a resource-conserving society.
Environmental Impacts of Electricity from Incineration and Gasification: How the LCA Approach Can Affect the Results
Authors: Bianco Isabella , Panepinto Deborah , Zanetti Mariachiara
Published: December 2021

Waste-to-energy (WtE) technologies can offer sustainable solutions for waste, which can no more be reused or recycled, such as the part of municipal solid waste (MSW) that is not suitable for recycling processes. This study focused on the environmental consequences of the production of electricity from incineration and gasification of MSW. To this aim, the standardised life cycle assessment (LCA) methodology was used. A life cycle inventory, mainly composed by primary data, is provided. Starting from these data, different highly shared LCA approaches were used to calculate the potential impacts of 1 kWh provided by the two analysed WtE technologies. The different approaches concern the method of accounting for the by-products (through an economic allocation and a system expansion) and the inclusion/exclusion of environmental benefits due to the avoided landfill for the MSW. For each approach, impact-assessment results were calculated with the ReCiPe midpoint (H) method. A comparison was carried out (i) between the results obtained for the same WtE technology but calculated with different approaches and (ii) between the impact results of electricity generated by the two WtE technologies calculated with the same approach. From the study, it emerged that, according to the accounting rules, the impact results can significantly change and, for some impact categories, even lead to opposite conclusions. In the absence of category rules that harmonise the environmental assessments of WtE processes, it is therefore recommended that the development/use/reproduction/comparison of studies focused on the valorisation of waste should be carried out with caution.
Irish Organics, Innovation and Farm Collaboration: A Pathway to Farm Viability and Generational Renewal
Authors: Farrell Maura , Murtagh Aisling , Weir Louise , Conway Shane Francis , McDonagh John , Mahon Marie
Published: December 2021

The family farm has been the pillar of rural society for decades, stabilising rural economies and strengthening social and cultural traditions. Nonetheless, family farm numbers across Europe are declining as farmers endeavour to overcome issues of climate change, viability, farm structural change and intergenerational farm succession. Issues around farm viability and a lack of innovative agricultural practices play a key role in succession decisions, preventing older farmers from passing on the farm, and younger farmers from taking up the mantel. A multifunctional farming environment, however, increasingly encourages family farms to embrace diversity and look towards innovative and sustainable practices. Across the European Union, organic farming has always been a strong diversification option, and although, historically, its progress was limited within an Irish context, its popularity is growing. To examine the impact of organic farm diversification on issues facing the Irish farm family, this paper draws on a qualitative case study with a group of Irish organic farmers engaged in the Maximising Organic Production System (MOPS) EIP-AGRI Project. The case study was constructed using a phased approach where each stage shaped the next. This started with a desk-based analysis, then moving on to semi-structured interviews and a focus group, which were then consolidated with a final feedback session. Data gathering occurred in mid to late 2020. Research results reveal the uptake of innovative practices not only improve farm viability, but also encourage the next generation of young farmers to commit to the family farm and consider farming long-term.
Digitalized Sports Products and Various Generations in the Era of Industry 4.0
Authors: Leszczyński Marcin , Metelski Adam , Rabczun Aleksandra
Published: December 2021

In modern times of Industry 4.0, digital solutions are used in an increasing number of branches of the economy, and this also applies to sports. Generational cohorts provide a way to understand how different life experiences affect people’s views of the world. There is a new growing group of sports fans—modern fans—who have been functioning in the digital world since birth, and therefore have their specific behavioral patterns, habits, and expectations. For this reason the sports industry must adapt properly to continue to develop. This article aims to identify how consumers representing various generations on the Polish market consume sports products provided by digitized channels. The study focused on three areas: the source of information about the sport, devices on which consumers watch sports and the evaluation of the attractiveness of sports products (full games, game highlights and behind the scenes). The study was conducted in the form of an online survey in 2021, and 581 Polish volleyball fans took part in it. The results indicate that younger generations are more likely to get sports information from social media and less likely to watch games on TV than older generations.
Determinants of Inclusive Growth in the Context of the Theory of Sustainable Finance in the European Union Countries
Authors: Stawska Joanna , Jabłońska Małgorzata
Published: December 2021

The aim of the article is to identify a degree of inclusive growth and to examine the influence of determinants of inclusive growth in the European Union (EU-27) countries, with particular emphasis on factors related to the influence of governments and central banks. The study took advantage of the weight correlation method, which was used to build an inclusive growth measure for the EU-27 for the years 2000, 2008, and 2020. For the construction of the inclusive growth rate, 42 factors were selected that affect inclusive growth in the economic, financial, and non-wage area. These determinants are found in the area of the influence of economic authorities, and mainly in the area of authorities responsible for conducting monetary and fiscal policy and general governance. On the basis of the built-up indicator of inclusive growth, it was noticed that among the 27 EU countries in the studied three years, only four countries distinguished themselves with the highest inclusive growth over the last 21 years, these are: Denmark, Luxembourg, Sweden, and Finland. On the other hand, invariably, three countries recorded the lowest inclusive growth, i.e., Bulgaria, Croatia, and Romania. The added value of the structure of the inclusive growth indicator was a possibility to observe which of the three areas: economic, financial, or non-wage, had a significant impact on the position of a given country in the compiled inclusive growth ranking.
The Acoustic Performance of Expanded Perlite Composites Reinforced with Rapeseed Waste and Natural Polymers
Authors: Nastac Silviu , Nechita Petronela , Debeleac Carmen , Simionescu Cristian , Seciureanu Mihai
Published: December 2021

Lignocelluloses residues from the post-harvest crop are receiving great scientific attention nowadays. Generally, the composite materials based on lignocelluloses waste present low density and weight, and better insulation properties compared with those petroleum-based. This study presents the results of experimental investigations regarding soundproofing capabilities for a composite material based on expanded perlite (EP) and natural polymers matrix (starch) reinforced with rapeseed stalks waste. The preparation of light-weight samples of composites was performed at room temperature through a mechanical mixing process of EP with starch polymers and rapeseed residues until optimum moisture content composition was obtained. Rapeseed stalks long fibers were avoided through the preliminary dry grinding procedure, and the composite was air-dried at room temperature for 48 h. Four samples of composites with different ratio of EP and rapeseed waste were considered. The evaluation of sample sound insulation characteristics was performed using the transfer-matrix method based on a four-microphone acoustic impedance tube. The paper concludes that the proposed composite provides comparative sound insulation capabilities to actual materials, with few particular aspects presented within the paper. Thus, these new materials are promising as a viable alternative to the actual large-scale utilization solutions in soundproofing applications.
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space-Filling Curve-Guided Sampling
Authors: Chen Xingye , Wu Yiqi , Xu Wenjie , Li Jin , Dong Huaiyi , Chen Yilin
Published: December 2021

Geometrical structures and the internal local region relationship, such as symmetry, regular array, junction, etc., are essential for understanding a 3D shape. This paper proposes a point cloud feature extraction network named PointSCNet, to capture the geometrical structure information and local region correlation information of a point cloud. The PointSCNet consists of three main modules: the space-filling curve-guided sampling module, the information fusion module, and the channel-spatial attention module. The space-filling curve-guided sampling module uses Z-order curve coding to sample points that contain geometrical correlation. The information fusion module uses a correlation tensor and a set of skip connections to fuse the structure and correlation information. The channel-spatial attention module enhances the representation of key points and crucial feature channels to refine the network. The proposed PointSCNet is evaluated on shape classification and part segmentation tasks. The experimental results demonstrate that the PointSCNet outperforms or is on par with state-of-the-art methods by learning the structure and correlation of point clouds effectively.
A Quadruple Integral Involving Product of the Struve Hv(βt) and Parabolic Cylinder Du(αx) Functions
Authors: Reynolds Robert , Stauffer Allan
Published: December 2021

The objective of the present paper is to obtain a quadruple infinite integral. This integral involves the product of the Struve and parabolic cylinder functions and expresses it in terms of the Hurwitz–Lerch Zeta function. Almost all Hurwitz-Lerch Zeta functions have an asymmetrical zero distributionSpecial cases in terms fundamental constants and other special functions are produced. All the results in the work are new.
Encoding Two-Qubit Logical States and Quantum Operations Using the Energy States of a Physical System
Authors: Ntalaperas Dimitrios , Konofaos Nikos
Published: December 2021

In this paper, we introduce a novel coding scheme, which allows single quantum systems to encode multi-qubit registers. This allows for more efficient use of resources and the economy in designing quantum systems. The scheme is based on the notion of encoding logical quantum states using the charge degree of freedom of the discrete energy spectrum that is formed by introducing impurities in a semiconductor material. We propose a mechanism of performing single qubit operations and controlled two-qubit operations, providing a mechanism for achieving these operations using appropriate pulses generated by Rabi oscillations. The above architecture is simulated using the Armonk single qubit quantum computer of IBM to encode two logical quantum states into the energy states of Armonk’s qubit and using custom pulses to perform one and two-qubit quantum operations.
Development of an Antifungal Device Based on Oriental Mustard Flour to Prevent Fungal Growth and Aflatoxin B1 Production in Almonds
Authors: Nazareth Tiago Melo , Torrijos Raquel , Bocate Karla Paiva , Mañes Jordi , Luciano Fernando Bittencourt , Meca Giuseppe , Vila-Donat Pilar
Published: December 2021

The present study describes the manufacture of an antifungal device composed of oriental mustard flour and hydroxyethyl-cellulose (H-OMF) and evaluates its efficacity in inhibiting Aspergillus flavus growth and aflatoxin B1 (AFB1) production in almonds. Additionally, it compares the H-OMF with allyl isothiocyanate (AITC) and a freeze-dried extract of yellow mustard flour (YMF-E); such substances were previously described as antifungal. Minimum inhibitory concentration (MIC), Minimum fungicidal concentration (MFC), the H-OMF in vitro antifungal activity, and the residual fungal population, as well as the production of AFB1 in almonds were determined. AITC and YMF-E showed significant antifungal activity in vitro. Additionally, the in vitro activity of H-OMF avoided mycelial growth by applying 30 mg/L. Almonds treated with AITC (5.07, 10.13, and 20.26 mg/L) and H-OMF (2000 and 4000 mg/L) showed a reduction in the population of A. flavus and the production of AFB1 to values below the limit of detection. YMF-E showed effectiveness by in vitro methodologies (MIC and MFC) but did not show efficacy when applied in almonds. Our findings indicated that the hydroxyethyl-cellulose-based device containing oriental mustard flour might be utilised as a fumigant to increase the safety of almonds and could be extended to other cereals or dry fruits.
Interiors of Terrestrial Planets in Metric-Affine Gravity
Authors: Kozak Aleksander , Wojnar Aneta
Published: December 2021

Using a semiempirical approach, we show that modified gravity affects the internal properties of terrestrial planets, such as their physical characteristics of a core, mantle, and core–mantle boundary. We also apply these findings for modeling a two-layer exoplanet in Palatini f(R) gravity.
Adenovirus Co-Opts Neutrophilic Inflammation to Enhance Transduction of Epithelial Cells
Authors: Readler James M. , Burke Meghan R. , Sharma Priyanka , Excoffon Katherine J. D. A. , Kolawole Abimbola O.
Published: December 2021

Human adenoviruses (HAdV) cause a variety of infections in human hosts, from self-limited upper respiratory tract infections in otherwise healthy people to fulminant pneumonia and death in immunocompromised patients. Many HAdV enter polarized epithelial cells by using the primary receptor, the Coxsackievirus and adenovirus receptor (CAR). Recently published data demonstrate that a potent neutrophil (PMN) chemoattractant, interleukin-8 (IL-8), stimulates airway epithelial cells to increase expression of the apical isoform of CAR (CAREx8), which results in increased epithelial HAdV type 5 (HAdV5) infection. However, the mechanism for PMN-enhanced epithelial HAdV5 transduction remains unclear. In this manuscript, the molecular mechanisms behind PMN mediated enhancement of epithelial HAdV5 transduction are characterized using an MDCK cell line that stably expresses human CAREx8 under a doxycycline inducible promoter (MDCK-CAREx8 cells). Contrary to our hypothesis, PMN exposure does not enhance HAdV5 entry by increasing CAREx8 expression nor through activation of non-specific epithelial endocytic pathways. Instead, PMN serine proteases are responsible for PMN-mediated enhancement of HAdV5 transduction in MDCK-CAREx8 cells. This is evidenced by reduced transduction upon inhibition of PMN serine proteases and increased transduction upon exposure to exogenous human neutrophil elastase (HNE). Furthermore, HNE exposure activates epithelial autophagic flux, which, even when triggered through other mechanisms, results in a similar enhancement of epithelial HAdV5 transduction. Inhibition of F-actin with cytochalasin D partially attenuates PMN mediated enhancement of HAdV transduction. Taken together, these findings suggest that HAdV5 can leverage innate immune responses to establish infections.
Human Cytomegalovirus Egress: Overcoming Barriers and Co-Opting Cellular Functions
Authors: Sanchez Veronica , Britt William
Published: December 2021

The assembly of human cytomegalovirus (HCMV) and other herpesviruses includes both nuclear and cytoplasmic phases. During the prolonged replication cycle of HCMV, the cell undergoes remarkable changes in cellular architecture that include marked increases in nuclear size and structure as well as the reorganization of membranes in cytoplasm. Similarly, significant changes occur in cellular metabolism, protein trafficking, and cellular homeostatic functions. These cellular modifications are considered integral in the efficient assembly of infectious progeny in productively infected cells. Nuclear egress of HCMV nucleocapsids is thought to follow a pathway similar to that proposed for other members of the herpesvirus family. During this process, viral nucleocapsids must overcome structural barriers in the nucleus that limit transit and, ultimately, their delivery to the cytoplasm for final assembly of progeny virions. HCMV, similar to other herpesviruses, encodes viral functions that co-opt cellular functions to overcome these barriers and to bridge the bilaminar nuclear membrane. In this brief review, we will highlight some of the mechanisms that define our current understanding of HCMV egress, relying heavily on the current understanding of egress of the more well-studied α-herpesviruses, HSV-1 and PRV.
The European Prevalence of Resistance Associated Substitutions among Direct Acting Antiviral Failures
Authors: Popping Stephanie , Cento Valeria , Seguin-Devaux Carole , Boucher Charles , de Salazar Adolfo , Heger Eva , Mor Orna , Sayan Murat , Salmon-Ceron Dominique , Weis Nina , Krarup Henrik , de Knegt Robert , Săndulescu Oana , Chulanov Vladimir , van de Vijver David , García Federico , Ceccherini-Silberstein Francesca
Published: December 2021

Background: Approximately 71 million people are still in need of direct-acting antiviral agents (DAAs). To achieve the World Health Organization Hepatitis C elimination goals, insight into the prevalence and influence of resistance associated substitutions (RAS) is of importance. Collaboration is key since DAA failure is rare and real-life data are scattered. We have established a European collaboration, HepCare, to perform in-depth analysis regarding RAS prevalence, patterns, and multiclass occurrence. Methods: Data were extracted from the HepCare cohort of patients who previously failed DAA therapy. Geno—and subtypes were provided by submitters and mostly based on in-house assays. They were reassessed using the Comet HCV subtyping tool. We considered RAS to be relevant if they were associated with DAA failure in vivo previously reported in literature. Results: We analyzed 938 patients who failed DAA therapy from ten different European countries. There were 239 genotypes (GT) 1a, 380 GT1b, 19 GT2c, 205 GT3a, 14 GT4a, and 68 GT4d infections. Several unusual subtypes (n = 15) (GT1b/g/l, GT3b, GT4k/n/r/t) were present. RAS appeared in over 80% of failures and over a quarter had three or more RAS. Multiclass RAS varied over target region and genotype between 0–48%. RAS patterns such as the Q30R + L31M and Q30R + Y93H in GT1a, the L31V + Y93H and L31V + Y93H for GT1b, and A30K + L31M and A30K/V + Y93H for GT3a all occurred with a prevalence below 5%. Conclusion: RAS occur frequently after DAA failures and follow a specific genotype and drug related pattern. Interpretation of the influence of RAS on retreatment is challenging due to various patterns, patients’ characteristics, and previous treatment history. Moving towards HCV elimination, an ongoing resistance surveillance is essential to track the presence of RAS, RAS patterns and gather data for a re-treatment algorithm.
Pfizer-BioNTech COVID-19 Vaccine in Gynecologic Oncology Patients: A Prospective Cohort Study
Authors: Palaia Innocenza , Caruso Giuseppe , Di Donato Violante , Vestri Annarita , Napoli Anna , Perniola Giorgia , Casinelli Matteo , Alunni Fegatelli Danilo , Campagna Roberta , Tomao Federica , D’Aniello Debora , Antonelli Guido , Muzii Ludovico
Published: December 2021

Objective: To evaluate the safety and immunogenicity of the Pfizer-BioNTech COVID-19 vaccine in gynecologic oncology patients under chemotherapy. Methods: A prospective cohort study including gynecologic oncology women who were under chemotherapy or had completed it within 6 months at the time of the study. All patients received a two-dose schedule of the Pfizer-BioNTech COVID-19 vaccine. Results were compared with a control group of healthy women vaccinated in the same period. Results: Overall, 44 oncologic patients with a mean age of 61.3 ± 10.7 years were enrolled: 28 (63.6%) had ovarian cancer, 9 (20.4%) endometrial, and 7 (16%) cervical. The IgG antibody titer after 1 month from vaccination was low in 9 (20.5%) patients, moderate in 21 (47.7%), and high in 14 (31.8%). The 3-month titer was null in 2 (4.5%) patients, low in 26 (59.1%), moderate in 13 (29.5%), and high in 3 (6.8%). Patients ≥ 50 years reported lower 1-month (p = 0.018) and 3-month (p = 0.004) titers compared with <50 years. Patients with BMI < 30 kg/m2 had a higher 1-month titer compared with BMI ≥ 30 kg/m2 (p = 0.016). Compared with healthy women (n = 44), oncologic patients showed a lower 3-month titer (p < 0.001). None of the patients experienced serious adverse effects. Conclusions: The COVID-19 vaccine was safe and immunogenic in gynecologic oncology patients under chemotherapy. Serological monitoring and further vaccine shots should be considered to boost protection.
The Impact of Sea-Level Rise on Urban Properties in Tampa Due to Climate Change
Authors: Xie Weiwei , Tang Bo , Meng Qingmin
Published: December 2021

Fast urbanization produces a large and growing population in coastal areas. However, the increasing rise in sea levels, one of the most impacts of global warming, makes coastal communities much more vulnerable to flooding than before. While most existing work focuses on understanding the large-scale impacts of sea-level rise, this paper investigates parcel-level property impacts, using a specific coastal city, Tampa, Florida, USA, as an empirical study. This research adopts a spatial-temporal analysis method to identify locations of flooded properties and their costs over a future period. A corrected sea-level rise model based on satellite altimeter data is first used to predict future global mean sea levels. Based on high-resolution LiDAR digital elevation data and property maps, properties to be flooded are identified to evaluate property damage cost. This empirical analysis provides deep understanding of potential flooding risks for individual properties with detailed spatial information, including residential, commercial, industrial, agriculture, and governmental buildings, at a fine spatial scale under three different levels of global warming. The flooded property maps not only help residents to choose location of their properties, but also enable local governments to prevent potential sea-level rising risks for better urban planning. Both spatial and temporal analyses can be easily applied by researchers or governments to other coastal cities for sea-level rise- and climate change-related urban planning and management.
DSS-OSM: An Integrated Decision Support System for Offshore Oil Spill Management
Authors: Li Pu , Chen Bing , Zou Shichun , Lu Zhenhua , Zhang Zekun
Published: December 2021

The marine ecosystem, human health and social economy are always severely impacted once an offshore oil spill event has occurred. Thus, the management of oil spills is of importance but is difficult due to constraints from a number of dynamic and interactive processes under uncertain conditions. An integrated decision support system is significantly helpful for offshore oil spill management, but it is yet to be developed. Therefore, this study aims at developing an integrated decision support system for supporting offshore oil spill management (DSS-OSM). The DSS-OSM was developed with the integration of a Monte Carlo simulation, artificial neural network and simulation-optimization coupling approach to provide timely and effective decision support to offshore oil spill vulnerability analysis, response technology screening and response devices/equipment allocation. In addition, the uncertainties and their interactions were also analyzed throughout the modeling of the DSS-OSM. Finally, an offshore oil spill management case study was conducted on the south coast of Newfoundland, Canada, demonstrating the feasibility of the developed DSS-OSM.