bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classification of Artocarpus species based on leaf recognition using multiclass support vector machine
Authors: Daliman S , Abdul Ghapar N 
Published: September 2021

Abstract
The demand of automated tools has been increasing regarding to the lack of people that expert in taxonomist. The aim of this research is to identify the classification of Artocarpus species based on leaf recognition using multiclass Support Vector Machine. This study focusses on identification and classification of selected Artocarpus species which are A. heterophyllus, A. altilis, A. integer and A. odoratissimus that belong to genus Artocarpus and family Moraceae through their morphological and features extraction by using image processing method. Multiclass Support Vector Machine (SVM) will be used to get the highest accuracy for the classification of Artocarpus species. The combination of Prewitt algorithm, Canny algorithm and gray level co-occurrence matrix will be used in SVM. This study capable to provide the results for current accuracy data representation of the selected Artocarpus species. The development of Graphical User Interface (GUI) for classification of Artocarpus species help user to identify and differentiate the species in faster and easier way especially botanist, taxonomist, and researcher. This system can increase the accuracy and speed of the processing and extraction of features from digital images of leaves samples. A Graphical User Interface utilizes a combination of devices and technologies to give a platform where users can interact with and producing information.
Descriptive Norms and Prototypes Predict COVID-19 Prevention Cognitions and Behaviors in the United States: Applying the Prototype Willingness Model to Pandemic Mitigation
Authors: Peterson Laurel M , Helweg-Larsen Marie , DiMuccio Sarah 
Published: September 2021

AbstractBackgroundEarly in the COVID-19 pandemic, prevention behavior adoption occurred in a rapidly changing context. In contrast to expectancy-value theories, the Prototype Willingness Model (PWM) is well-suited for investigating novel and socially informed behaviors.PurposeWe explored whether PWM social cognitions predicted coronavirus prevention behaviors.MethodA representative sample of United States adults (N = 738; Mage = 46.8; 51.8% women; 78% white; April 2020) who had not had COVID-19 reported PWM predictor variables (perceived vulnerability, prevention descriptive norms, prototypes engaging in prevention behavior, and prevention behavioral intentions). Two weeks later, participants reported their prevention behaviors (handwashing, mask-wearing, social distancing, etc.) and future public health behavioral willingness (contact tracing, temperature checks, etc.).ResultsControlling for putative demographic, past behavior, and coronavirus-contextual (e.g., local infection rates) covariates, mediation models indicated that higher norms and favorable prototypes were associated with greater prevention behavioral intentions, which in turn predicted increased prevention behavior, F(18, 705) = 92.20, p &lt; .001, R2 = .70. Higher norms and favorable prototypes associated both directly and indirectly (through greater prevention behavioral intention) with greater willingness to engage in emerging public health behaviors, F(15, 715) = 21.49, p &lt; .001, R2 = .31.ConclusionsGreater descriptive norms and favorable prototypes for prevention behavior predicted: (a) future prevention behaviors through increases in behavioral intentions and (b) willingness to participate in emerging public health behaviors. These results held across demographic groups, political affiliation, and severity of regional outbreaks. Public health efforts to curb pandemics should highlight normative prevention participation and enhance positive prototypes.
Terrestrial laser scanning: a new standard of forest measuring and modelling?
Authors: Åkerblom Markku , Kaitaniemi Pekka 
Published: September 2021

Abstract

Background
Laser scanning technology has opened new horizons for the research of forest dynamics, because it provides a largely automated and non-destructive method to rapidly capture the structure of individual trees and entire forest stands at multiple spatial scales. The structural data themselves or in combination with additional remotely sensed data also provide information on the local physiological state of structures within trees. The capacity of new methods is facilitated by the ongoing development of automated processing tools that are designed to capture information from the point cloud data provided by the remote measurements.

Scope
Terrestrial laser scanning (TLS), performed from the ground or from unmanned aerial vehicles, in particular, has potential to become a unifying measurement standard for forest research questions, because the equipment is flexible to use in the field and has the capacity to capture branch-level structural information at the forestplot or even forest scale. This issue of Annals of Botany includes selected papers that exemplify the current and potential uses of TLS, such as for examination of crown interactions between trees, growth dynamics of mixed stands, non-destructive characterization of urban trees, and enhancement of ecological and evolutionary models. The papers also present current challenges in the applicability of TLS methods and report recent developments in methods facilitating the use of TLS data for research purposes, including automatic processing chains and quantifying branch and above-ground biomass. In this article, we provide an overview of the current and anticipated future capacity of TLS and related methods in solving questions that utilize measurements and models of forests.

Conclusions
Due to its measurement speed, TLS provides a method to effortlessly capture large amounts of detailed structural forest information, and consequent proxy data for tree and forest processes, at a far wider spatial scale than is feasible with manual measurements. Issues with measurement precision and occlusion of laser beams before they reach their target structures continue to reduce the accuracy of TLS data, but the limitations are counterweighted by the measurement speed that enables large sample sizes. The currently high time-cost of analysing TLS data, in turn, is likely to decrease through progress in automated processing methods. The developments point towards TLS becoming a new and widely accessible standard tool in forest measurement and modelling.
A Systematic Review and Meta-Analysis Evaluating the Impact of Tranexamic Acid Administration in Aesthetic Plastic Surgery
Authors: Laikhter Elizabeth , Comer Carly D , Shiah Eric , Manstein Samuel M , Bain Paul A , Lin Samuel J 
Published: September 2021

Abstract

Background
Recent evidence suggests tranexamic acid (TXA) may improve outcomes in aesthetic surgery patients.

Objectives
This systematic review aimed to investigate the impact of TXA use in aesthetic plastic surgery on bleeding and aesthetic outcomes.

Methods
A systematic literature search was conducted to identify studies evaluating TXA use in aesthetic plastic surgery. The primary outcome of interest was perioperative bleeding, reported as total blood loss (TBL), ecchymosis, and hematoma formation. Meta-analyses analyzing TBL and postoperative hematoma were performed.

Results
Of 287 identified articles, 14 studies evaluating TXA use in rhinoplasty (6), rhytidectomy (3), liposuction (3), reduction mammaplasty (1), and blepharoplasty (1) were included for analysis. Of 820 total patients, 446 (54.4%) received TXA. Meta-analysis demonstrated TXA is associated with 26.3 mL average blood loss reduction (95% CI, –40.0 to –12.7 mL; P &lt; 0.001) and suggested a trend toward decreased odds of postoperative hematoma with TXA use (odds ratio, 0.280; 95% CI, 0.076-1.029; P = 0.055). Heterogeneity among reporting of other outcomes precluded meta-analysis; however, 5 of 7 studies found significantly decreased postoperative ecchymosis levels within 7 days of surgery, 3 studies found statistically significant reductions in postoperative drain output, and 1 study reported significantly improved surgical site quality for patients who received TXA (P = 0.001).

Conclusions
TXA is associated with decreased blood loss and a trend toward decreased hematoma formation in aesthetic plastic surgery. Its use has the potential to increase patient satisfaction with postoperative recovery and decrease costs associated with complications, including hematoma evacuation.

Level of Evidence: 4
RibDif: can individual species be differentiated by 16S sequencing?
Authors: Strube Mikael Lenz 
Published: September 2021

Abstract

Motivation
Metataxonomic analysis is now routinely used to profile the microbiome of virtually every ecological niche on planet Earth. The use of amplicon sequence variants (ASVs), proposing to be the exact biological 16S rRNA amplicon sequences of a given biological system, is now considered the gold standard. However, the 16S rRNA genes, and in particular the amplicons derived from it, are not unique for most species nor are they necessarily unique within individual genomes. Despite these restrictions, individual ASVs are often used to make inferences on the state of a given ecosystem, which may cause erroneous conclusions on the effects of a given species on a specific host phenotype or ecosystem.
Results: To support researchers working with metataxonomics, we have developed RibDif, which easily and rapidly evaluates the feasibility of using metataxonomics to profile individual species. We use RibDif to demonstrate that the genus Pseudoalteromonas contains species that are impossible to distinguish with 16S amplicons and that this is a common motif in bacterial genera. We propose that researchers consult RibDif when making conclusions on individual species from metataxonomic data.

Availability and implementation
RibDif is freely available along with source code and detailed documentation at https://github.com/mikaells/RibDif.
Detecting common breaks in the means of high dimensional cross-dependent panels
Authors: Horváth Lajos , Liu Zhenya , Rice Gregory , Zhao Yuqian 
Published: September 2021

Summary
The problem of detecting change points in the mean of high dimensional panel data with potentially strong cross-sectional dependence is considered. Under the assumption that the cross-sectional dependence is captured by an unknown number of common factors, a new CUSUM-type statistic is proposed. We derive its asymptotic properties under three scenarios depending on to what extent the common factors are asymptotically dominant. With panel data consisting of N cross sectional time series of length T, the asymptotic results hold under the mild assumption that $\min \lbrace N,T\rbrace \rightarrow \infty$, with an otherwise arbitrary relationship between N and T, allowing the results to apply to most panel data examples. Bootstrap procedures are proposed to approximate the sampling distribution of the test statistics. A Monte Carlo simulation study showed that our test outperforms several other existing tests in finite samples in a number of cases, particularly when N is much larger than T. The practical application of the proposed results are demonstrated with real data applications to detecting and estimating change points in the high dimensional FRED-MD macroeconomic data set.
Comparison ofSpathaspora passalidarumand recombinantSaccharomyces cerevisiaefor integration of first- and second-generation ethanol production
Authors: Pereira Isabela de Oliveira , dos Santos Ângela Alves , Gonçalves Davi L , Purificação Marcela , Guimarães Nick Candiotto , Tramontina Robson , Coutouné Natalia , Zanella Eduardo , Matsushika Akinori , Stambuk Boris U , Ienczak Jaciane Lutz 
Published: September 2021

ABSTRACTFirst-generation ethanol (E1G) is based on the fermentation of sugars released from saccharine or starch sources, while second-generation ethanol (E2G) is focused on the fermentation of sugars released from lignocellulosic feedstocks. During the fractionation process to release sugars from hemicelluloses (mainly xylose), some inhibitor compounds are released hindering fermentation. Thus, the biggest challenge of using hemicellulosic hydrolysate is selecting strains and processes able to efficiently ferment xylose and tolerate inhibitors. With the aim of diluting inhibitors, sugarcane molasses (80% of sucrose content) can be mixed to hemicellulosic hydrolysate in an integrated E1G–E2G process. Cofermentations of xylose and sucrose were evaluated for the native xylose consumer Spathaspora passalidarum and a recombinant Saccharomyces cerevisiae strain. The industrial S. cerevisiae strain CAT-1 was modified to overexpress the XYL1, XYL2 and XKS1 genes and a mutant ([4–59Δ]HXT1) version of the low-affinity HXT1 permease, generating strain MP-C5H1. Although S. passalidarum showed better results for xylose fermentation, this yeast showed intracellular sucrose hydrolysis and low sucrose consumption in microaerobic conditions. Recombinant S. cerevisiae showed the best performance for cofermentation, and a batch strategy at high cell density in bioreactor achieved unprecedented results of ethanol yield, titer and volumetric productivity in E1G–E2G production process.
Globalization/deglobalization: lessons from liberal monetary orders
Authors: Brawley Mark R 
Published: September 2021

Abstract
Economic globalization never proceeded in a smooth steady trajectory. The current international economy, organized around liberal principles, faces potential problems unleashed by the COVID-19 pandemic. Two popular theoretical approaches offer varying reasons for the survivability of the contemporary order. One stresses the benefits associated with participating in liberal international orders, claiming such arrangements are essentially self-sustaining. The rival view emphasizes the uneven distribution of gains, emphasizing the role of leadership, especially for dampening crises. To examine the support for each argument, I examine the evolution of international monetary arrangements. International monetary orders lie at the heart of liberal international economies; no prior liberal monetary order has proven self-sustaining. Liberal international monetary sub-orders depend upon leadership as much as cooperation for their survival—leaders exert efforts to shape followers' actions so long as the leader draws sufficient benefits to make such efforts worthwhile. The economic disruption caused by the COVID-19 pandemic provides the latest illustration of this point, though these arguments also suggest experiences across issue-areas will vary.
Emerging middle powers and the liberal international order
Authors: Aydin Umut 
Published: September 2021

Abstract
In the post-Cold War era, a number of middle powers rose to prominence thanks to domestic reforms and a favourable international environment of economic and political globalization. These countries began to pursue middle power foreign policies, working actively in international organizations, engaging in areas such as conflict mediation, humanitarian assistance and the promotion of human rights, and helping to diffuse democracy and market reforms in their neighbourhoods. In this way, they contributed to the stability and expansion of the liberal international order in the post-Cold War period. Nonetheless, recent democratic and economic backsliding in these middle powers raises concerns. Focusing on the cases of Turkey and Mexico, this article explores how reversals in democratic and market reforms, exacerbated by recent trends towards deglobalization, influence emerging middle powers' foreign policies and their potential contributions to the liberal international order. I argue that whereas their rise had helped reinforce and expand the liberal international order, emerging middle powers' illiberal turn may have a destabilizing effect on this order.
How ‘making the world in its own liberal image’ made the West less liberal
Authors: Miller Benjamin 
Published: September 2021

Abstract
How did the attempt to make the world more liberal end up making the West less liberal? Following the end of the Cold War the US tried to promote liberalism in various parts of the world. This promotion took place under the liberal belief in its universality. A few of these attempts succeeded, most notably the integration of China into the global economy. Many other liberalizing endeavours failed, notably democracy-promotion in China, Russia and the Middle East. Yet, both the successes and the failures resulted in the rise of illiberal elements in the West as reflected in Brexit and Trumpism. The article shows how the outcomes of the attempts at liberalization—both the failures and the successes—generated these populist forces. The Chinese economic success took place at least partly because of the US-led integration of China into the international order. Yet, this success produced adverse economic effects in the West. Such outcomes led to the rise of economic populism. The American liberal interventions in the Middle East affected the rise of terrorism and of Muslim migration to the West. These developments influenced the rise of cultural populism in the West, which advances resentment of foreigners, migrants and minorities.
Donor Love Will Tear Us Apart: How Complexity and Learning Marginalize Accountability in Peacebuilding Interventions
Authors: Bächtold Stefan 
Published: September 2021

AbstractComplexity theory and systems thinking are increasingly popular in both academic and practitioner discourses to “improve” peacebuilding. Recently, they have also been considered to make peacebuilding interventions more bottom-up and less exclusive. Contributing to the debate in international political sociology on the role of (professional) knowledge in shaping interventions, I examine this claim with an analysis of professional peacebuilding discourse. Drawing on an extensive corpus of operational guidance, policy documents, and interview material, I situate the emerging uses of concepts of complexity in peacebuilding against the backdrop of the power struggles of its actors and institutions. Against the introduction of measures of managerial control, professional peacebuilding discourse has cast its interventions as exceptional and in need of different methods. Thus, learning replaces donors’ standardized measures of accountability. However, the peculiar conflation of accountability as learning that emerges from these struggles legitimizes self-referential expert rule and learning, and marginalizes debates on peacebuilders’ accountability. Rather than “de-colonizing” or making peacebuilding more inclusive, the way complexity concepts have emerged in peacebuilding discourse reproduces—rather than questions—the power structures of international interventions, and denies the people targeted by interventions the status of subjects to be accountable to.
Toward a Radical IR: Transformation, Praxis, and Critique in a (Neo)Liberal World Order
Authors: Tatum Dillon Stone 
Published: September 2021

Abstract
Can there be a “radical IR?” Scholars have given little attention to the question of the following: where is radicalism in the discipline? I argue that not only is it possible to think about radical international theory, but that it is necessary in the contemporary world. International theorists have to grapple with developments of fundamental change, including the so-described decline of the (neo)liberal international order, transformations in global capital, and an upsurge in populist political movements that advocate for fundamental political change. In approaching the question of radicalism in IR, the article develops a working definition of radicalism as an approach to politics that focuses on the International as a whole, uses theoretical tools from the humanistic sciences to engage in an active politics of fundamental transformation, and deploys methods that are historicist, genealogical, and oriented toward “getting to the root of things.” Additionally, the paper illustrates the virtues and promises of a radical IR by using the case of (neo)liberal world order arguments to show how a radical IR could change the trajectory of these engagements.
The Dynamics of Social Capital: Examining the Reciprocity between Network Features and Social Support
Authors: Xu Shan , Li Wenbo , Zhang Weiwu 
Published: September 2021

AbstractAn essential tenet of social capital is that it is a reciprocal process: social networks produce desirable outcomes, and the resulting outcomes can then feed back into influencing networks. The current study is among the first to examine a dynamic, reciprocal process of social capital, using within-person measures from 2,065 reports of offline and online daily social interactions from 66 participants over a 1-week period. Results show that online and offline social interactions, characterized by tie strength and communication diversity, generate different levels of emotional, practical, and informational support, which, in turn, exerts differential influence on tie strength and diversity of subsequent interactions. Results also reveal a mismatch between the resulting social support and subsequent motivated social interactions. Importantly, social support reinforces subsequent tie strength but reduces communication diversity.
Landscape Anthropization Affects Mosquito Diversity in a Deciduous Forest in Southeastern Mexico
Authors: Barrientos-Roldán Maggi Janelly , Abella-Medrano Carlos Antonio , Ibáñez-Bernal Sergio , Sandoval-Ruiz César Antonio 
Published: September 2021

AbstractMosquitoes (Diptera: Culicidae) are considered the group of insects that most impacts human health. Land use change, conversion of conserved sites into agricultural environments, urbanization, defaunation, and introduction of domestic animals can affect mosquito diversity positively or negatively, increasing the risk of transmission of zoonotic diseases. Here, we describe the diversity of adult mosquitoes in two environments (deciduous forest and anthropized zone) over 2 yr (2014–2016), using eight CDC traps at each site in three climatic seasons (rainy, cold, and dry). We captured 795 individuals belonging to 22 species. We constructed rank-abundance curves to determine spatial and temporal changes in the mosquito communities. We measured alpha diversity using the Shannon index (H′), Shannon exponential (eH) and Simpson dominance (Ds), and beta diversity using Jaccard’s coefficient of similarity (Ij). The most abundant species were Culex quinquefasciatus (40.5%), Culex coronator (18.3%), and Anopheles pseudopunctipennis (12.4%). The highest mosquito diversity was in the deciduous forest during the rainy season. Beta diversity analysis showed that species overlap varied among climatic seasons, with the sites sharing 65% species during the rainy season, but only 33% of species during the dry season. We found differences in the diversity of mosquitoes at the two sites, and the mosquito assemblage of the anthropized zone was significantly different from that of the deciduous forest.
Unsettling Entitlement and ‘Ginx’s Baby’
Authors: Cohen Monica F 
Published: September 2021

Abstract
This story traces the many adventures of a title, from Edward Jenkins’s 1870 novel, Ginx’s Baby, through colonial resistance to imperial copyright law in Canada, to the photograph of a distressed baby that Charles Darwin featured in The Expression of Emotions in Man and Animals and that the art photographer Oscar Rejlander reproduced as popular cartes de visites. The reiterative use of the title across genres and oceans conjures an image of Victorian popular culture as an unregulated bazaar affording the surprising emergence of unintended creators. Copyright history, frame analysis, and name theory help explain how the title of a popular novel could lend itself to so many unrelated creative objects.