bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blue Carbon in Emissions Markets: Challenges and Opportunities for Mexico
Authors: Ivanova Boncheva Antonina , Bermudez-Contreras Alfredo 
Published: December 2021

AbstractMangroves are ecosystems made up of trees or shrubs that develop in the intertidal zone and provide many vital environmental services for livelihoods in coastal areas. They are a habitat for the reproduction of several marine species. They afford protection from hurricanes, tides, sea-level rise and prevent the erosion of the coasts. Just one hectare of mangrove forest can hold up to 1,000 tons of carbon dioxide, more than tropical forests and jungles. Mexico is one of the countries with the greatest abundance of mangroves in the world, with more than 700,000 ha. Blue carbon can be a novel mechanism for promoting communication and cooperation between the investor, the government, the users, and beneficiaries of the environmental services of these ecosystems, creating public–private-social partnerships through mechanisms such as payment for environmental services, credits, or the voluntary carbon market. This chapter explores the possibilities of incorporating blue carbon in emissions markets. We explore the huge potential of Mexico’s blue carbon to sequester CO2. Then we analyse the new market instrument that allows countries to sell or transfer mitigation results internationally: The Sustainable Development Mechanism (SDM), established in the Paris Agreement. Secondly, we present the progress of the Commission for Environmental Cooperation (CEC) to standardize the methodologies to assess their stock and determine the magnitude of the blue carbon sinks. Thirdly, as an opportunity for Mexico, the collaboration with the California cap-and-trade program is analysed. We conclude that blue carbon is a very important mitigation tool to be included in the compensation schemes on regional and global levels. Additionally, mangrove protection is an excellent example of the mitigation-adaptation-sustainable development relationship, as well as fostering of governance by the inclusion of the coastal communities in decision-making and incomes.
Relationship Between Emissions Trading System and the 2030 Agenda for Sustainable Development
Authors: Sosa-Nunez Gustavo 
Published: December 2021

AbstractWith the Paris Agreement and through Nationally Determined Contributions, nation-states have agreed to reduce their emissions of greenhouse gases. Some of them have approached this aspect by setting emission trading systems. In some cases, it is in the regional and sub-national levels where these types of developments are taking place. The relevance of this market-based instrument is increasing over time, to the point of being regarded as a cornerstone of climate change mitigation strategies, despite the lack of global agreement on the matter. The importance of emission trading systems, however, can be observed when assessing their relevance for achieving the 2030 Agenda for Sustainable Development. Implementing them can, and should, assist in reaching diverse targets of different Sustainable Development Goals. This is the case of the goals related to energy, economic growth, inclusive industrialization, sustainable cities, sustainable production and consumption patterns, marine and land life, as well as the climate itself. Then, the relevance of emission trading systems can be observed throughout the whole 2030 Agenda. It is thus in this context that this contribution aims to assess the manner in which this relationship takes place in the global fora and in Mexico. A key argument is that there should be the participation of a wider set of sectors and actors.
Charge completeness and the massless charge lattice in F-theory models of supergravity
Authors: Morrison David R. , Taylor Washington 
Published: December 2021

AbstractWe prove that, for every 6D supergravity theory that has an F-theory description, the property of charge completeness for the connected component of the gauge group (meaning that all charges in the corresponding charge lattice are realized by massive or massless states in the theory) is equivalent to a standard assumption made in F-theory for how geometry encodes the global gauge theory by means of the Mordell-Weil group of the elliptic fibration. This result also holds in 4D F-theory constructions for the parts of the gauge group that come from sections and from 7-branes. We find that in many 6D F-theory models the full charge lattice of the theory is generated by massless charged states; this occurs for each gauge factor where the associated anomaly coefficient satisfies a simple positivity condition. We describe many of the cases where this massless charge sufficiency condition holds, as well as exceptions where the positivity condition fails, and analyze the related global structure of the gauge group and associated Mordell-Weil torsion in explicit F-theory models.
Towards bootstrapping RG flows: sine-Gordon in AdS
Authors: Antunes António , Costa Miguel S. , Penedones João , Salgarkar Aaditya , van Rees Balt C. 
Published: December 2021

Abstract
The boundary correlation functions for a Quantum Field Theory (QFT) in an Anti-de Sitter (AdS) background can stay conformally covariant even if the bulk theory undergoes a renormalization group (RG) flow. Studying such correlation functions with the numerical conformal bootstrap leads to non-perturbative constraints that must hold along the entire flow. In this paper we carry out this analysis for the sine-Gordon RG flows in AdS2, which start with a free (compact) scalar in the UV and end with well-known massive integrable theories that saturate many S-matrix bootstrap bounds. We numerically analyze the correlation functions of both breathers and kinks and provide a detailed comparison with perturbation theory near the UV fixed point. Our bounds are often saturated to one or two orders in perturbation theory, as well as in the flat-space limit, but not necessarily in between.
Action on Invasive Species: Control Strategies of Parthenium hysterophorus L. on Smallholder Farms in Kenya
Authors: Tabe Ojong Martin Paul , Alvarez Miguel , Ihli Hanna J. , Becker Mathias , Heckelei Thomas 
Published: December 2021

AbstractParthenium hysterophorus L. (Asteraceae) is an invasive alien weed with detrimental effects on agricultural production, biodiversity, human and animal health, threating rural livelihoods in Asia and Africa. The problem emerged recently in the Kenyan Rift Valley, where it began to affect the landholdings of both agro-pastoralists and crop farmers. These vulnerable smallholders depend heavily on natural resources for their livelihoods. In this study, we assessed the severity of parthenium invasion and farmers’ management responses using a sample of 530 agro-pastoralists in Baringo County, Kenya, in 2019. We hypothesise that the implementation of existing management strategies depends on the state of parthenium invasion and household socio-economic characteristics. The prevalence and severity of parthenium invasion differed greatly among field plots. To control weeds, farmers resort to either hand weeding, the use of synthetic herbicides, or intensive tillage, sometimes in combination with mulching. A multivariate probit regression model shows that households’ characteristics determine the type of control strategies used as well as their complementarity and substitutability. Hand weeding is the most common option, adopted by almost 40% of farmers. The use of agrochemicals or soil-based control strategies appears to be related to knowledge and information characteristics such as access to extension services, membership in organisations and the educational level of household heads. While hand weeding and the use of synthetic herbicides depict significant substitutability, the latter strategy is limited to a few larger farms with market-oriented production. As parthenium invasion continues, policies need to improve farmer awareness and access to knowledge to enable pro-poor and environmentally sustainable control of parthenium on smallholder farms.
A mathematical model of p62-ubiquitin aggregates in autophagy
Authors: Delacour Julia , Doumic Marie , Martens Sascha , Schmeiser Christian , Zaffagnini Gabriele 
Published: December 2021

AbstractAggregation of ubiquitinated cargo by oligomers of the protein p62 is an important preparatory step in cellular autophagy. In this work a mathematical model for the dynamics of these heterogeneous aggregates in the form of a system of ordinary differential equations is derived and analyzed. Three different parameter regimes are identified, where either aggregates are unstable, or their size saturates at a finite value, or their size grows indefinitely as long as free particles are abundant. The boundaries of these regimes as well as the finite size in the second case can be computed explicitly. The growth in the third case (quadratic in time) can also be made explicit by formal asymptotic methods. In the absence of rigorous results the dynamic stability of these structures has been investigated by numerical simulations. A comparison with recent experimental results permits a partial parametrization of the model.
The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis
Authors: van Stiphout J. Abel , Driessen Jan , Koetzier Lennart R. , Ruules Lara B. , Willemink Martin J. , Heemskerk Jan W. T. , van der Molen Aart J. 
Published: December 2021

Abstract
Objective
To determine the difference in CT values and image quality of abdominal CT images reconstructed by filtered back-projection (FBP), hybrid iterative reconstruction (IR), and deep learning reconstruction (DLR).

Methods
PubMed and Embase were systematically searched for articles regarding CT densitometry in the abdomen and the image reconstruction techniques FBP, hybrid IR, and DLR. Mean differences in CT values between reconstruction techniques were analyzed. A comparison between signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of FBP, hybrid IR, and DLR was made. A comparison of diagnostic confidence between hybrid IR and DLR was made.

Results
Sixteen articles were included, six being suitable for meta-analysis. In the liver, the mean difference between hybrid IR and DLR was − 0.633 HU (p = 0.483, SD ± 0.902 HU). In the spleen, the mean difference between hybrid IR and DLR was − 0.099 HU (p = 0.925, SD ± 1.061 HU). In the pancreas, the mean difference between hybrid IR and DLR was − 1.372 HU (p = 0.353, SD ± 1.476 HU). In 14 articles, CNR was described. In all cases, DLR showed a significantly higher CNR. In 9 articles, SNR was described. In all cases but one, DLR showed a significantly higher SNR. In all cases, DLR showed a significantly higher diagnostic confidence.

Conclusions
There were no significant differences in CT values reconstructed by FBP, hybrid IR, and DLR in abdominal organs. This shows that these reconstruction techniques are consistent in reconstructing CT values. DLR images showed a significantly higher SNR and CNR, compared to FBP and hybrid IR.

Key Points

CT values of abdominal CT images are similar between deep learning reconstruction (DLR), filtered back-projection (FBP), and hybrid iterative reconstruction (IR).

DLR results in improved image quality in terms of SNR and CNR compared to FBP and hybrid IR images.

DLR can thus be safely implemented in the clinical setting resulting in improved image quality without affecting CT values.
Mechanical analysis of heterogeneous materials with higher-order parameters
Authors: Vazic Bozo , Abali Bilen Emek , Yang Hua , Newell Pania 
Published: December 2021

AbstractEven though heterogeneous porous materials are widely used in a variety of engineering and scientific fields, such as aerospace, energy-storage technology, and bio-engineering, the relationship between effective material properties of porous materials and their underlying morphology is still not fully understood. To contribute to this knowledge gap, this paper adopts a higher-order asymptotic homogenization method to numerically investigate the effect of complex micropore morphology on the effective mechanical properties of a porous system. Specifically, we use the second-order scheme that is an extension of the first-order computational homogenization framework, where a generalized continuum enables us to introduce length scale into the material constitutive law and capture both pore size and pore distribution. Through several numerical case studies with different combinations of porosity, pore shapes, and distributions, we systematically studied the relationship between the underlying morphology and effective mechanical properties. The results highlight the necessity of higher-order homogenization in understanding the mechanical properties and reveal that higher-order parameters are required to capture the role of realistic pore morphologies on effective mechanical properties. Furthermore, for specific pore shapes, higher-order parameters exhibit dominant influence over the first-order continuum.
The characterization of actions at the superordinate, basic and subordinate level
Authors: Zhuang Tonghe , Lingnau Angelika 
Published: December 2021

AbstractObjects can be categorized at different levels of abstraction, ranging from the superordinate (e.g., fruit) and the basic (e.g., apple) to the subordinate level (e.g., golden delicious). The basic level is assumed to play a key role in categorization, e.g., in terms of the number of features used to describe these actions and the speed of processing. To which degree do these principles also apply to the categorization of observed actions? To address this question, we first selected a range of actions at the superordinate (e.g., locomotion), basic (e.g., to swim) and subordinate level (e.g., to swim breaststroke), using verbal material (Experiments 1–3). Experiments 4–6 aimed to determine the characteristics of these actions across the three taxonomic levels. Using a feature listing paradigm (Experiment 4), we determined the number of features that were provided by at least six out of twenty participants (common features), separately for the three different levels. In addition, we examined the number of shared (i.e., provided for more than one category) and distinct (i.e., provided for one category only) features. Participants produced the highest number of common features for actions at the basic level. Actions at the subordinate level shared more features with other actions at the same level than those at the superordinate level. Actions at the superordinate and basic level were described with more distinct features compared to those provided at the subordinate level. Using an auditory priming paradigm (Experiment 5), we observed that participants responded faster to action images preceded by a matching auditory cue corresponding to the basic and subordinate level, but not for superordinate level cues, suggesting that the basic level is the most abstract level at which verbal cues facilitate the processing of an upcoming action. Using a category verification task (Experiment 6), we found that participants were faster and more accurate to verify action categories (depicted as images) at the basic and subordinate level in comparison to the superordinate level. Together, in line with the object categorization literature, our results suggest that information about action categories is maximized at the basic level.
Differential fates of introns in gene expression due to global alternative splicing
Authors: Kumari Anjani , Sedehizadeh Saam , Brook John David , Kozlowski Piotr , Wojciechowska Marzena 
Published: December 2021

AbstractThe discovery of introns over four decades ago revealed a new vision of genes and their interrupted arrangement. Throughout the years, it has appeared that introns play essential roles in the regulation of gene expression. Unique processing of excised introns through the formation of lariats suggests a widespread role for these molecules in the structure and function of cells. In addition to rapid destruction, these lariats may linger on in the nucleus or may even be exported to the cytoplasm, where they remain stable circular RNAs (circRNAs). Alternative splicing (AS) is a source of diversity in mature transcripts harboring retained introns (RI-mRNAs). Such RNAs may contain one or more entire retained intron(s) (RIs), but they may also have intron fragments resulting from sequential excision of smaller subfragments via recursive splicing (RS), which is characteristic of long introns. There are many potential fates of RI-mRNAs, including their downregulation via nuclear and cytoplasmic surveillance systems and the generation of new protein isoforms with potentially different functions. Various reports have linked the presence of such unprocessed transcripts in mammals to important roles in normal development and in disease-related conditions. In certain human neurological-neuromuscular disorders, including myotonic dystrophy type 2 (DM2), frontotemporal dementia/amyotrophic lateral sclerosis (FTD/ALS) and Duchenne muscular dystrophy (DMD), peculiar processing of long introns has been identified and is associated with their pathogenic effects. In this review, we discuss different mechanisms involved in the processing of introns during AS and the functions of these large sections of the genome in our biology.
Effects of an intensive slow cortical potentials neurofeedback training in female and male adolescents with autism spectrum disorder
Authors: Werneck-Rohrer Sonja G. , Lindorfer Theresa M. , Waleew Carolin , Philipp Julia , Prillinger Karin , Konicar Lilian 
Published: December 2021

Summary
Background
This study aims to compare the effects of neurofeedback training on male and female adolescents with autism spectrum disorder (ASD). Furthermore, it examines sex differences regarding improvements in co-occurring psychopathological symptoms, cognitive flexibility and emotion recognition abilities. The study might provide first hints whether there is an influence of sex on treatment outcomes.

Methods
Six female and six male adolescents with ASD were matched according to age, IQ and symptom severity. All participants received 24 sessions of electroencephalography-based neurofeedback training. Before and after the intervention, psychological data for measuring co-occurring psychopathological symptoms as well as behavioral data for measuring cognitive flexibility and emotion recognition abilities were recorded.

Results
Caregivers rated statistically significant higher psychopathological problems in female than in male adolescents with ASD at baseline. Apart from that, no statistically significant sex-related differences were revealed in this sample; however, male adolescents tended to report greater improvements of externalizing, internalizing and total symptoms, whereas females experienced smaller improvements of externalizing and total problems, but no improvements of internalizing problems. Regarding caregivers’ assessments, more improvement of total problems was reported for females. For males, only improvements of internalizing and total problems were described.

Conclusion
This study reveals preliminary results that sex-related differences might play a role when evaluating treatment outcomes after neurofeedback training regarding comorbid psychopathological symptoms. Adolescents’ self-report and parental assessments, especially concerning psychopathological symptoms, should be combined and considered in future studies to help prevent sex bias in adolescents with ASD.
Effects of mental health and substance use disorder symptoms on the association between STDs and sexual identity: evidence from the 2017–2019 National Survey on Drug Use and Health
Authors: Adzrago David , Nyarko Samuel H. , Ananaba Nnenna , Markham Christine 
Published: December 2021

AbstractBackgroundSexually transmitted disease (STD) cases are rising in the USA, especially among sexual and gender minorities, despite the availability of numerous STD prevention programs. We examined the differences in STD prevalence among sexual and gender minority subgroups with major depressive episode symptoms and substance use dependence.MethodsWe combined 2017, 2018, and 2019 National Survey on Drug Use and Health (NSDUH) public-use data on adults (N = 127,584) to conduct weighted multivariable logistic regression and margins analyses.ResultsApproximately 2.05% of the population reported having STDs. The population that had major depressive episode symptoms (AOR = 1.70, 95% CI = 1.46, 1.99), alcohol use dependence (AOR = 1.79, 95% CI = 1.49, 2.16), illicit drug use other than marijuana use dependence (AOR = 2.25, 95% CI = 1.73, 2.92), or marijuana use dependence (AOR = 1.90, 95% CI = 1.57, 2.31) had higher odds of contracting STDs compared to their counterparts. Lesbian/gay (AOR = 2.81, 95% CI = 2.24, 3.54) and bisexual (AOR = 1.95, 95% CI = 1.60, 2.37) individuals had higher odds of contracting STDs. Lesbians/gays with major depressive episode symptoms, alcohol use dependence, or illicit drug use other than marijuana use dependence had the highest probability of having STDs, compared to bisexuals and heterosexuals with major depressive episode symptoms, alcohol use, or illicit drug use other than marijuana use dependence. Bisexuals with marijuana use dependence had the highest probability of STD contraction compared to their lesbian/gay and heterosexual counterparts. Within each sexual identity subgroup, the probability of having STDs was higher for individuals with major depressive episode symptoms, or dependence on alcohol use, illicit drug use other than marijuana use, or marijuana use compared to their counterparts.ConclusionMajor depressive episode symptoms, substance use dependence, and sexual and gender minority status had higher risks for STD diagnosis, particularly for sexual and gender minorities with major depressive episode symptoms or substance use dependence. Tailored interventions based on major depressive episode symptoms and substance use dependence may reduce the prevalence of STD, especially among sexual and gender minorities.
On Surface-Plasmon-Polariton Waves Excited in the Turbadar–Otto Configuration
Authors: Mackay Tom G. , Faryad Muhammad 
Published: December 2021

AbstractA local minimum in the plot of linear reflectance versus angle of incidence, on its own, is insufficient to identify a surface-plasmon-polariton wave (SPPW). Further checks are required in order to confirm the identity of a SPPW. The wavenumber should be compared with that extracted from the dispersion relation for the corresponding canonical boundary-value problem. Also, for prism-coupled configurations such as the Turbadar–Otto configuration which are based on SPPW-excitation via evanescent waves, the angle of incidence should be greater than the critical angle needed for total internal reflection.