bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploratory approach for network behavior clustering in LoRaWAN
Authors: Garlisi Domenico , Martino Alessio , Zouwayhed Jad , Pourrahim Reza , Cuomo Francesca 
Published: March 2021

AbstractThe interest in the Internet of Things (IoT) is increasing both as for research and market perspectives. Worldwide, we are witnessing the deployment of several IoT networks for different applications, spanning from home automation to smart cities. The majority of these IoT deployments were quickly set up with the aim of providing connectivity without deeply engineering the infrastructure to optimize the network efficiency and scalability. The interest is now moving towards the analysis of the behavior of such systems in order to characterize and improve their functionality. In these IoT systems, many data related to device and human interactions are stored in databases, as well as IoT information related to the network level (wireless or wired) is gathered by the network operators. In this paper, we provide a systematic approach to process network data gathered from a wide area IoT wireless platform based on LoRaWAN (Long Range Wide Area Network). Our study can be used for profiling IoT devices, in order to group them according to their characteristics, as well as detecting network anomalies. Specifically, we use the k-means algorithm to group LoRaWAN packets according to their radio and network behavior. We tested our approach on a real LoRaWAN network where the entire captured traffic is stored in a proprietary database. Quite important is the fact that LoRaWAN captures, via the wireless interface, packets of multiple operators. Indeed our analysis was performed on 997, 183 packets with 2169 devices involved and only a subset of them were known by the considered operator, meaning that an operator cannot control the whole behavior of the system but on the contrary has to observe it. We were able to analyze clusters’ contents, revealing results both in line with the current network behavior and alerts on malfunctioning devices, remarking the reliability of the proposed approach.
Forest biomass accumulation is an important source of acidity to forest soils: Data from Swedish inventories of forests and soils 1955 to 2010
Authors: Karltun Erik , Stendahl Johan , Iwald Johan , Löfgren Stefan 
Published: March 2021

AbstractThe input of acidity to Swedish forest soils through forestry between 1955 and 2010 is compared with the acid input from atmospheric deposition. Depending on region, input of acidity from forestry was the minor part (25–45%) of the study period’s accumulated acid input but is now the dominating source (140–270 molc ha−1 year−1). The net uptake of cations due to the increase in standing forest biomass, ranged between 35 and 45% of the forestry related input of acidity while whole-tree harvesting, introduced in the late 1990s, contributed only marginally (< 2%). The geographical gradient in acid input is reflected in the proportion of acidified soils in Sweden but edaphic properties contribute to variations in acidification sensitivity. It is important to consider the acid input due to increases in standing forest biomass in acidification assessments since it is long-term and quantitatively important.
High-temperature oxidation behavior of SiBN fibers in air
Authors: Long Xin , Wu Zhenyu , Shao Changwei , Wang Xiaozhou , Wang Yingde 
Published: March 2021

AbstractSiBN fibers are one of the most admirable microwave-transparent reinforced materials for high Mach number aircrafts. Currently, the detailed high-temperature oxidation behavior of SiBN fibers has not been studied yet. In this work, we studied the high-temperature oxidation behavior of SiBN fibers with different boron contents at the temperature range of 1000–1400 °C in air. SiBN fibers started to be oxidized at 1100 °C, with Si3N4 and BN phase oxidized to SiO2 and B2O3, respectively. Due to the gasification and the escape of molten B2O3 at high temperatures, amorphous SiO2 could be remained at the fiber surface. As the fiber further oxidized, the molten B2O3 at the inside may infiltrate into the fiber interior to react with Si3N4, causing the precipitation of hexagonal boron nitride (h-BN) nanoparticles and the formation of SiO2/BN layer. Finally, complex oxidation layers with two distinct concentric sublayers accompanied with two transition sublayers could be formed after the oxidizing treatment.
A patent keywords extraction method using TextRank model with prior public knowledge
Authors: Huang Zhaoxin , Xie Zhenping 
Published: March 2021

AbstractFor large amount of patent texts, how to extract their keywords in an unsupervised way is a very important problem. In existing methods, only the own information of patent texts is analyzed. In this study, an improved TextRank model is proposed, in which prior public knowledge is effectively utilized. Specifically, two following points are first considered: (1) a TextRank network is constructed for each patent text, (2) a prior knowledge network is constructed based on public dictionary data, in which network edges represent the prior interpretation relationship among all dictionary words in dictionary entries. Then, an improved node rank value evaluation formula is designed for TextRank networks of patent texts, in which prior interpretation information in prior knowledge network are introduced. Finally, patent keywords can be extracted by finding top-k node words with higher node rank values. In our experiments, patent text clustering task is used to examine the performance of proposed method, wherein several comparison experiments are executed. Corresponding results demonstrate that, new method can markedly obtain better performance than existing methods for patent keywords extraction task in an unsupervised way.
Achmea versus the Rule of Law: CJEU’s Dogmatic Dismissal of Investors’ Rights in Backsliding Member States of the European Union
Authors: Kochenov Dimitry Vladimirovich , Lavranos Nikos 
Published: March 2021

AbstractWe demonstrate that the CJEU’sAchmeajudgment has resulted in significantly more damage beyond the termination of intra-EU BITs. It made the application of EU law difficult, if not impossible. Indeed, it has opened the floodgate to deficient judicial protection in the face of structural backsliding of the rule of law in some EU Member States. While the motives of the CJEU and by extension the European Commission to safeguard their ultimate control over the internal market by exclusively relying on the preliminary ruling system of integrated European judiciary may be understandable, they cannot serve as a credible justification for the long-term consequences of disempowering investors in the name of an ideological stance regarding EU judiciary, which cannot work in the backsliding Member States, where the ‘integration of the EU’s judiciary’ could stand for the absence of independent adjudication. Consequently, theAchmeajudgment and post-Achmeadevelopments such as the recently signed Termination Agreement to terminate the intra-EU BITs have been leading to significant—possibly irreparable in the short- to medium-term—lowering of the procedural and substantive protection standards for European investors in times when they are in need of more rather than less protection.
Bioplastic from Renewable Biomass: A Facile Solution for a Greener Environment
Authors: Coppola Gerardo , Gaudio Maria Teresa , Lopresto Catia Giovanna , Calabro Vincenza , Curcio Stefano , Chakraborty Sudip 
Published: March 2021

AbstractEnvironmental pollutions are increasing day by day due to more plastic application. The plastic material is going in our food chain as well as the environment employing microplastic and other plastic-based contaminants. From this point, bio-based plastic research is taking attention for a sustainable and greener environment with a lower footprint on the environment. This evaluation should be made considering the whole life cycle assessment of the proposed technologies to make a whole range of biomaterials. Bio-based and biodegradable bioplastics can have similar features as conventional plastics while providing extra returns because of their low carbon footprint as long as additional features in waste management, like composting. Interest in competitive biodegradable materials is growing to limit environmental pollution and waste management problems. Bioplastics are defined as plastics deriving from biological sources and formed from renewable feedstocks or by a variation of microbes, owing to the ability to reduce the environmental effect. The research and development in this field of bio-renewable resources can seriously lead to the adoption of a low-carbon economy in medical, packaging, structural and automotive engineering, just to mention a few. This review aims to give a clear insight into the research, application opportunities, sourcing and sustainability, and environmental footprint of bioplastics production and various applications. Bioplastics are manufactured from polysaccharides, mainly starch-based, proteins, and other alternative carbon sources, such as algae or even wastewater treatment byproducts. The most known bioplastic today is thermoplastic starch, mainly as a result of enzymatic bioreactions. In this work, the main applications of bioplastics are accounted. One of them being food applications, where bioplastics seem to meet the food industry concerns about many the packaging-related issues and appear to play an important part for the whole food industry sustainability, helping to maintain high-quality standards throughout the whole production and transport steps, translating into cleaner and smarter delivery chains and waste management. High perspectives resides in agricultural and medical applications, while the number of fields of applications grows constantly, for example, structural engineering and electrical applications. As an example, bio-composites, even from vegetable oil sources, have been developed as fibers with biodegradable features and are constantly under research.
Workspace analysis of 3-DOF U-shape base planar parallel robotic motion stage using shape memory alloy restoration technique (SMART) linear actuators
Authors: Singh Deep , Choudhury Rutupurna , Singh Yogesh , Mukherjee Manidipto 
Published: March 2021

AbstractThe applications of lightweight planar parallel robotic manipulators are increasing enormously because of its various desirable characteristics such as low weight, lower inertia and higher stiffness. Higher accelerations and accuracies can be achieved in planar parallel manipulators. Also, shape memory alloy restoration technique (SMART)-based linear actuators are replacing huge and bulky linear actuators. This study presents the kinematic design of smart linearly actuated family of U-shape base planar parallel robotic manipulator. With the aid of solid modelling software, different available configurations were modelled and their workspace was analysed. The developed 3-DOF motion stages (18 unique configurations) were fabricated using fused deposition modelling process, and the top three configurations having higher workspace were further experimented. It is interesting to observe that the actual or experimental workspace of a particular manipulator configuration is further minimised from the predicted or feasible workspace. It is due to the presence of passive links, singularities, friction between the parts, heat dissipation, force distribution, stiffness, etc. The present study depicts the experimental workspace of the top three configurations, namely PPR-PRP-PRR, PRP-PPR-PRP and PRP-PPR-PRR. Since none of the experimental workspace observed is equal or higher than the model workspace, an efficiency loss in terms of workspace reduction was calculated to understand the acceptability of the configurations in different domains. Apart from the loss, the result disclosed that the actual workspace of all the manipulators was within the feasible workspace domain of mobile platform. The PPR-PRP-PRR manipulator was found to possess highest experimental workspace than other configurations. Note: P, P, and R refer to active prismatic, passive prismatic and passive revolute joints respectively.
Factors influencing content credibility in Facebook’s news feed
Authors: Sousa Sonia , Bates Neil 
Published: March 2021

AbstractThis study reports an exploratory inquiry into the problematic phenomenon of fake news on Facebook, aiming at providing an inside view on how users in the United Kingdom (UK) value the credibility of news posts on Facebook in a post-Brexit era. Participants (n= 201) were asked to review four different Brexit-related Facebook posts that linked to news articles from UK tabloids that were published between 2016 and 2019. Two of the posts were debunked as fake news, while the other two were verified as real news. The authors of each Facebook post were different: two from UK tabloids and two from unknown individuals. Respondents were asked to identify the credibility of the news posts in Facebook’s news feed. The results indicate that the author of the post significantly influences users’ perceived credibility. For instance, a fake news post from an individual is perceived as the least trustworthy, while a real news post from an individual and a fake news post from a tabloid are somewhat similarly perceived. The content of a post is seen as most trustworthy when it is a real news post from a tabloid and as least credible when it is a fake news post from an individual. Finally, in two cases, credibility can predict willingness to interact with a post. The research concludes with a set of recommendations for future research.
Marine alkaloids as the chemical marker for the prey–predator relationship of the sponge Xestospongia sp. and the nudibranch Jorunna funebris
Authors: Wu Qihao , Li Song-Wei , de Voogd Nicole J. , Wang Hong , Yao Li-Gong , Guo Yue-Wei , Li Xu-Wen 
Published: March 2021

AbstractThe dietary relationship study between marine sponge Xestospongia sp. and its nudibranch predators Jorunna funebris based on the discovery of isoquinolinequinones has long been studied. In this study, chemical investigation of the sponge Xestospongia sp. and nudibranch J. funebris from the South China Sea yielded a new marine alkaloid neopetroside C (1), together with nine known alkaloids (2–10). The chemical structures of all the compounds were elucidated by extensive spectroscopic analysis. Neopetroside C (1) featured a riboside of nicotinic acid with a rare α-N glycosildic linkage and an acyl residue of (Z)-2-methylbut-2-enoic acid attached to C-5′. The plausible chemical ecology relationship between sponge Xestospongia sp. and its nudibranch predator J. funebris was proposed based on the biogenetic relationship of the common marine alkaloids. The observation of two structural fragments, (Z)-2-methylbut-2-enoyloxy and trigonelline groups in both sponge and nudibranch, indicated that nudibranch might uptake chemicals from sponge and then modify and transform them into chemical weapons to defend against predators.
Protocol Deviations: A Holistic Approach from Defining to Reporting
Authors: Galuchie Laura , Stewart Catherine , Meloni Frank 
Published: March 2021

AbstractImproving interpretation of existing guidelines and management of protocol deviation processes could increase process efficiencies and help reduce noise to support rapid identification of important protocol deviations. Towards this end, TransCelerate identified key principles to build upon and clarify the definition of a protocol deviation and developed a holistic approach to protocol deviation management. The approaches are flexible to suit a variety of indications, study designs, and investigational agents while also supporting consistent application within a study, program or organization.
Nonprofit contracting and partnership in elderly care: a comparison between china and the Netherlands
Authors: Jing Yijia , Torenvlied René , van Gerven Minna , Cao Jia 
Published: March 2021

AbstractThis paper offers an empirical account of the engagement and success of nonprofits in contracting for elderly care in China and the Netherlands as two contrasting contexts. While contracting as an innovation demonstrates a state-centered approach in China, its Dutch counterpart has sought a balance between state and professional influences. The paper argues that public sector reforms, civil society development and social regulation support schemes contextualize the engagement and success of nonprofits in contracting for elderly care. Surveys among the managers of 176 elderly care organizations in Shanghai and 70 elderly care organizations in the Netherlands shows that the fundamental elements of nonprofit contracting in elderly care are strikingly similar between both contexts, although their manifestation is shaped by each specific institutional context.
A comparison of two deep-learning-based urban perception models: which one is better?
Authors: Wang Ruifan , Ren Shuliang , Zhang Jiaqi , Yao Yao , Wang Yu , Guan Qingfeng 
Published: March 2021

AbstractUrban perception is a hot topic in current urban study and plays a positive role in urban planning and design. At present, there are two methods to calculate urban perception. 1) Using a model to learn image features directly automatically; 2) Coupling machine learning and feature extraction based on expert knowledge (e.g. object proportion) method. With two typical streets in Wuhan as the study area, video data were recorded and used as the model input. In this study, two representative methods are selected: 1) End to end convolution neural network (CNN-based model); 2) Based on full convolution neural network and random forest (FCN + RF-based model). By comparing the accuracy of two models, we analyze the adaptability of the model in different urban scenes. We also analyze the relationship between CNN-based model and urban function based on POI data and OSM data, and verify its interpretability. The results show that the CNN-based model is more accurate than FCN + RF-based model. Because the CNN-based model considers the topological characteristics of the ground objects, its perception results have a stronger nonlinear correlation with urban functions. In addition, we also find that the CNN-based model is more suitable for scenes with weak spatial heterogeneity (such as small and medium-sized urban environments), while the FCN + RF-based model is applicable to scenes with strong spatial heterogeneity (such as the downtown areas of China’s megacities). The results of this study can be used as a reference to provide decision support for urban perception model selection in urban planning.
The geography of climate migration
Authors: Burzyński Michał , Docquier Frédéric , Scheewel Hendrik 
Published: March 2021

AbstractIn this paper, we investigate the long-term effects of climate change on the mobility of working-age people. We use a world economy model that covers almost all the countries around the world, and distinguishes between rural and urban regions as well as between flooded and unflooded areas. The model is calibrated to match international and internal mobility data by education level for the last 30 years, and is then simulated under climate change variants. We endogenize the size, dyadic, and skill structure of climate migration. When considering moderate climate scenarios, we predict mobility responses in the range of 70–108 million workers over the course of the twenty-first century. Most of these movements are local or inter-regional. South–South international migration responses are smaller, while the South–North migration response is of the “brain drain” type and induces a permanent increase in the number of foreigners in OECD countries in the range of 6–9% only. Changes in the sea level mainly translate into forced local movements. By contrast, inter-regional and international movements are sensitive to temperature-related changes in productivity. Lastly, we show that relaxing international migration restrictions may exacerbate the poverty effect of climate change at origin if policymakers are unable to select/screen individuals in extreme poverty.
Mass balance of the Antarctic ice sheet 1992–2016: reconciling results from GRACE gravimetry with ICESat, ERS1/2 and Envisat altimetry
Authors: Zwally H. Jay , Robbins John W. , Luthcke Scott B. , Loomis Bryant D. , Rémy Frédérique 
Published: March 2021

AbstractGRACE and ICESat Antarctic mass-balance differences are resolved utilizing their dependencies on corrections for changes in mass and volume of the same underlying mantle material forced by ice-loading changes. Modeled gravimetry corrections are 5.22 times altimetry corrections over East Antarctica (EA) and 4.51 times over West Antarctica (WA), with inferred mantle densities 4.75 and 4.11 g cm−3. Derived sensitivities (Sg,Sa) to bedrock motion enable calculation of motion (δB0) needed to equalize GRACE and ICESat mass changes during 2003–08. For EA,δB0is −2.2 mm a−1subsidence with mass matching at 150 Gt a−1, inland WA is −3.5 mm a−1at 66 Gt a−1, and coastal WA is only −0.35 mm a−1at −95 Gt a−1. WA subsidence is attributed to low mantle viscosity with faster responses to post-LGM deglaciation and to ice growth during Holocene grounding-line readvance. EA subsidence is attributed to Holocene dynamic thickening. With Antarctic Peninsula loss of −26 Gt a−1, the Antarctic total gain is 95 ± 25 Gt a−1during 2003–08, compared to 144 ± 61 Gt a−1from ERS1/2 during 1992–2001. Beginning in 2009, large increases in coastal WA dynamic losses overcame long-term EA and inland WA gains bringing Antarctica close to balance at −12 ± 64 Gt a−1by 2012–16.
Historical contingency, geography and anthropogenic patterns of exposure drive the evolution of host switching in theBlastocystisspecies-complex
Authors: Wilcox Justin J. S. , Lopez-Cotto John J. , Hollocher Hope 
Published: March 2021

AbstractParasites have the power to impose significant regulatory pressures on host populations, making evolutionary patterns of host switching by parasites salient to a range of contemporary ecological issues. However, relatively little is known about the colonization of new hosts by parasitic, commensal and mutualistic eukaryotes of metazoans. As ubiquitous symbionts of coelomate animals,Blastocystisspp. represent excellent candidate organisms for the study of evolutionary patterns of host switching by protists. Here, we apply a big-data phylogenetic approach using archival sequence data to assess the relative roles of several host-associated traits in shaping the evolutionary history of theBlastocystisspecies-complex within an ecological framework. Patterns of host usage were principally determined by geographic location and shared environments of hosts, suggesting that weight of exposure (i.e. propagule pressure) represents the primary force for colonization of new hosts within theBlastocystisspecies-complex. WhileBlastocystislineages showed a propensity to recolonize the same host taxa, these taxa were often evolutionarily unrelated, suggesting that historical contingency and retention of previous adaptions by the parasite were more important to host switching than host phylogeny. Ultimately, our findings highlight the ability of ecological theory (i.e. ‘ecological fitting’) to explain host switching and host specificity within theBlastocystisspecies-complex.