bluuebunny/crossref_metadata_2025_split huggingface dataset:
The term structure of mutual fund herding
Authors: Huo Xiaolin , Liu Xin , Zheng Weinan 
Published: June 2022

AbstractThis paper investigates institutional herding behaviours in the U.S. Treasury market. We find that the level of herding is higher for bonds with a longer time to maturity and this pattern is significant only for buy herding, not sell herding. This term structure of herding is stronger for funds with a shorter investment horizon. These patterns remain strong for Treasury Inflation‐Protected Securities and for Treasuries with high coupon rates. Overall, our findings support investors' short‐termism as a channel for the term structure of herding and are inconsistent with other herding explanations, such as spurious herding, reputational concerns and information cascades.
The double helix of rule of law and EU competition law: An appraisal
Authors: Bernatt Maciej 
Published: June 2022

AbstractBy discussing the experiences of Hungary and Poland, this article aims to demonstrate that there are three layers of the rule of law which are relevant for EU competition law. The first one is external: it relates to the legal system of EU Member States of which competition law is a part. In national legal systems, rule of law safeguards need to be put in place in order to provide an adequate legal environment for the competition law system to perform its role. The second one is internal: it concerns rule of law safeguards in relation to the Member States' competition authorities, in particular their independence. The third one is consequential: the weakening of the rule of law within the external and internal layers affects the proper functioning of the competition law system. As a result, the effectiveness of Articles 101 and 102 TFEU is endangered, and a vicious circle of mutually reinforcing competition law and rule of law crises unfolds.
An image watermark removal method for secure internet of things applications based on federated learning
Authors: Li Hongan , Wang Guanyi , Hua Qiaozhi , Wen Zheng , Li Zhanli , Lei Ting 
Published: June 2022

AbstractWatermark adding is one of the important means for image security and privacy protection in Internet of things (IOT) applications based on federated learning. It is often inseparable from adversarial training with watermark removal algorithms. The effect of watermark removal algorithms will directly affect the final result of watermark addition. However, the existing watermark removal algorithms have drawbacks such as incomplete image watermark removal, poor image quality after watermark removal, large demand for training data, and incorrect filling, which seriously affects the development of image information security and privacy protection in IOT applications based on federated learning. To solve the above problems, this paper proposes an improved image watermark removal convolutional network model based on deep image prior. First, we improve the U‐Net network model, using six downsamping layers and six deconvolution layers combined with deep image prior method to reduce the loss of details and perceive high‐level features, thereby improving the ability of the network to extract high‐level features of the image. In addition, we design a new type of loss function which is called stair loss, and add L1 loss and perception loss to establish new constraints. In order to verify the effectiveness of our method, a comprehensive experimental comparison was conducted on the public dataset PASCAL VOC 2012 in the same experimental environment with CGAN and the deep prior method. The experimental results show that the improved model combined with the deep image prior method can extract the high‐level feature information and can directly remove the watermark from the picture without pretraining the network, the L1 loss and perceptual loss can better retain the image structure information and speed up the watermark removal of the model, the stair loss corrects the final output more accurately by correcting the output of each layer; our method improves the learning ability of the model, and under the condition of the same training time, the image quality after watermark removal is higher, and the final watermark removal result is better, which is more suitable for distributed structure of IoT application based on federated learning.
Fisheries‐based approach to disentangle mackerel (Scomber scombrus) migration in the Cantabrian Sea
Authors: Rodríguez‐Basalo Augusto , Punzón Antonio , Ceballos‐Roa Elvira , Jordà Gabriel , González‐Irusta José Manuel , Massutí Enric 
Published: June 2022

AbstractMackerel is an important commercial pelagic species present in the western and eastern North Atlantic. The Northeast Atlantic Mackerel (NEAM) stock has its southernmost spawning area mainly located western Iberian Peninsula and southern Biscay. This species performs extensive annual migrations. The present study is focused on the distribution of this species along the Cantabrian Sea, an essential area of the South Spawning Component (SSC), and the environmental drivers that can affect its migration phenology. We have used data from Vessel Monitoring System and Logbooks of the hand line fishery to estimate the catch per unit of effort (CPUE) as a proxy of its distribution and abundance. CPUEs data of fisheries targeting NEAM provided us with a tool to discriminate the most important predictors for both its prespawning and the postspawning behavior. Among the drivers that can affect mackerel migration, we have analyzed wind speed and direction, temperature at surface (SST) and at 200 m depth, chlorophylla, mixed layer depth, upwelling intensity, and the most representative geographical variables: depth, slope of the seafloor, and distance to coast. We used generalize additive models to highlight the predictors most closely related to the phenology of the species and to shape the spatial–temporal abundance of NEAM in the southern Bay of Biscay waters. Temperature and wind speed and direction are the most important factors that affect prespawning and postspawning migration of NEAM SSC and shape its niche tracking leading to a gradual advance of the spawning season.
Soil moisture regulates warming responses of autumn photosynthetic transition dates in subtropical forests
Authors: Fu Yongshuo H. , Li Xinxi , Chen Shouzhi , Wu Zhaofei , Su Jianrong , Li Xing , Li Shuaifeng , Zhang Jing , Tang Jing , Xiao Jingfeng 
Published: June 2022

AbstractAutumn phenology plays a key role in regulating the terrestrial carbon and water balance and their feedbacks to the climate. However, the mechanisms underlying autumn phenology are still poorly understood, especially in subtropical forests. In this study, we extracted the autumn photosynthetic transition dates (APTD) in subtropical China over the period 2003–2017 based on a global, fine‐resolution solar‐induced chlorophyll fluorescence (SIF) dataset (GOSIF) using four fitting methods, and then explored the temporal–spatial variations of APTD and its underlying mechanisms using partial correlation analysis and machine learning methods. We further predicted the APTD shifts under future climate warming conditions by applying process‐based and machine learning‐based models. We found that the APTD was significantly delayed, with an average rate of 7.7 days per decade, in subtropical China during 2003–2017. Both partial correlation analysis and machine learning methods revealed that soil moisture was the primary driver responsible for the APTD changes in southern subtropical monsoon evergreen forest (SEF) and middle subtropical evergreen forest (MEF), whereas solar radiation controlled the APTD variations in the northern evergreen‐broadleaf deciduous mixed forest (NMF). Combining the effects of temperature, soil moisture and radiation, we found a significantly delayed trend in APTD during the 2030–2100 period, but the trend amplitude (0.8 days per decade) was much weaker than that over 2003–2017. In addition, we found that machine learning methods outperformed process‐based models in projecting APTD. Our findings generate from different methods highlight that soil moisture is one of the key players in determining autumn photosynthetic phenological processes in subtropical forests. To comprehensively understand autumn phenological processes, in‐situ manipulative experiments are urgently needed to quantify the contributions of different environmental and physiological factors in regulating plants' response to ongoing climate change.
A 130‐year global inventory of methane emissions from livestock: Trends, patterns, and drivers
Authors: Zhang Lei , Tian Hanqin , Shi Hao , Pan Shufen , Chang Jinfeng , Dangal Shree R. S. , Qin Xiaoyu , Wang Siyuan , Tubiello Francesco N. , Canadell Josep G. , Jackson Robert B. 
Published: June 2022

AbstractLivestock contributes approximately one‐third of global anthropogenic methane (CH4) emissions. Quantifying the spatial and temporal variations of these emissions is crucial for climate change mitigation. Although country‐level information is reported regularly through national inventories and global databases, spatially explicit quantification of century‐long dynamics of CH4 emissions from livestock has been poorly investigated. Using the Tier 2 method adopted from the 2019 Refinement to 2006 IPCC guidelines, we estimated CH4 emissions from global livestock at a spatial resolution of 0.083° (~9 km at the equator) during the period 1890–2019. We find that global CH4 emissions from livestock increased from 31.8 [26.5–37.1] (mean [minimum−maximum of 95% confidence interval) Tg CH4 yr−1 in 1890 to 131.7 [109.6–153.7] Tg CH4 yr−1 in 2019, a fourfold increase in the past 130 years. The growth in global CH4 emissions mostly occurred after 1950 and was mainly attributed to the cattle sector. Our estimate shows faster growth in livestock CH4 emissions as compared to the previous Tier 1 estimates and is ~20% higher than the estimate from FAOSTAT for the year 2019. Regionally, South Asia, Brazil, North Africa, China, the United States, Western Europe, and Equatorial Africa shared the majority of the global emissions in the 2010s. South Asia, tropical Africa, and Brazil have dominated the growth in global CH4 emissions from livestock in the recent three decades. Changes in livestock CH4 emissions were primarily associated with changes in population and national income and were also affected by the policy, diet shifts, livestock productivity improvement, and international trade. The new geospatial information on the magnitude and trends of livestock CH4 emissions identifies emission hotspots and spatial–temporal patterns, which will help to guide meaningful CH4 mitigation practices in the livestock sector at both local and global scales.
Quantifying Annual Nitrogen Loss to Groundwater Via Edge‐of‐Field Monitoring: Method and Application
Authors: Cardiff Michael , Schachter Laura , Krause Jake , Gotkowitz Madeline , Austin Brian 
Published: June 2022

AbstractIncreased nitrate concentrations in groundwater and surface waters represent one of the most widespread and acute impacts of modern agriculture on the environment. However, there is often a fundamental gap in understanding how individual agricultural fields and practices contribute to this broad‐scale issue. To practically address nutrient dynamics at individual agricultural sites, methods for assessing nitrogen loss to groundwater that are minimally invasive and thus can encourage farmer “buy in” are necessary. We present an approach that uses edge‐of‐field monitoring at multilevel samplers along with a once‐per‐year tracer application (bromide) to calculate nitrogen loss on an annual basis. Using appropriate spatio‐temporal integrals of measured concentrations, a net loss of nitrogen to groundwater (per field area) can be calculated. This approach directly measures impacts of nitrogen leaching below the water table, while avoiding permanent in‐field installations that can interfere with farm operations. We present an application of this technique to assess nitrogen loss to groundwater over 5 years for a commercial agricultural field in Sauk County, WI. Results from Field 19 indicate that nitrogen losses are similar to (or slightly below) previously reported values for corn and potato crops. In all years, however, we estimate that more than 25% (>60 kg/ha) of nitrogen applied leached as nitrate to groundwater. Use of this mass flux estimation method was most reliable when: (1) tracer is injected directly at the water table, limiting “smearing” within the vadose zone; and (2) nitrate concentrations from laboratory analysis were obtained, rather than using ion‐selective electrodes or nitrate test strips.
Crop visitation by wild bees declines over an 8‐year time series: A dramatic trend, or just dramatic between‐year variation?
Authors: Aldercotte Andrew H. , Simpson Dylan T. , Winfree Rachael 
Published: June 2022

Abstract
Despite widespread recognition of the need for long‐term monitoring of pollinator abundances and pollination service provision, such studies are exceedingly rare.
In this study, we assess changes in bee visitation and net capture rates for 73 species visiting watermelon crop flowers at 19 farms in the mid‐Atlantic region of the United States from 2005 to 2012.
Over the 8 years, we found a 58% decline in wild bee visitation to crop flowers, but no significant change in honey bee visitation rate. Most types of wild bees showed similar declines in both the visitation and the net capture data; bumble bees, however, declined by 56% in the visitation data but showed no change in net capture rates. Trends in pollination services, that is, estimated pollen deposition, largely followed the trends in visitation and net capture rates.
While we detected large and significant declines in wild bees when using generalised linear mixed models (GLMMs), permutation analyses that account for non‐directional variation in abundance were non‐significant, demonstrating the challenge of identifying and describing trends in highly variable populations.
As far as we are aware, this article represents one of fewer than 10 published time‐series (defined as >5 years of data) studies of changes in bee abundance, and one of only two such studies conducted in an agricultural setting. More such studies are needed in order to understand the magnitude of bee decline and its ramifications for crop pollination.
Large contribution of woody plant expansion to recent vegetative greening of the Northern Great Plains
Authors: Currey Bryce , McWethy David B. , Fox Nicholas R. , Brookshire E. N. Jack 
Published: June 2022

AbstractAimExtensive portions of high‐latitude grasslands worldwide have recently experienced increased vegetative productivity (i.e., greening) and have undergone a rapid transition towards woody plant dominance via the process of woody plant expansion (WPE). This raises the underlying question: To what degree are WPE and greening spatiotemporally linked? Given that these vegetative changes are predicted to continue, we seek to understand how recent changes in vegetation extent and productivity have interacted under recent climate change and anthropogenic disturbance to provide insights surrounding the future trajectory of temperate grasslands broadly.LocationNorthern Great Plains (NGP), North America.TaxonWoody plants.MethodsGreening was measured as the significant increase in three metrics between 2000 and 2019: leaf area index (LAI), annual maximum normalized difference vegetative index (NDVI) and annual mean NDVI. WPE was measured as the significant proportional increase in percent tree cover change between 2000 and 2019 in grasslands. We then examined these variables across a host of 26 potential driving variables.ResultsWe show that average proportional greening increased by 0.2–1.3% year−1 (depending on metric), and proportional WPE increased by 6.9% year−1 since 2000 across the NGP. Both changes are largely driven by the absence of wildfire and changing climate. Furthermore, WPE was spatially coherent and positively associated with a large component of recent greening, as revealed by their coupling across 34.1%–40.6% of grassland area and as evidenced by the 9.7%–19.7% of the variability in greening explained by WPE.Main conclusionsWPE and greening are spatiotemporally coupled across large portions of the NGP. Under continued climate change and wildfire suppression, WPE and greening are likely to continue across large swathes of grasslands globally. Furthermore, our results show that using a single greening metric may be insufficient to capture the large‐scale vegetative changes such as the expansion of woody vegetation.
Recommendations for outcome measurement for deprescribing intervention studies
Authors: Bayliss Elizabeth A. , Albers Kathleen , Gleason Kathy , Pieper Lisa E. , Boyd Cynthia M. , Campbell Noll L. , Ensrud Kristine E. , Gray Shelly L. , Linsky Amy M. , Mangin Derelie , Min Lillian , Rich Michael W. , Steinman Michael A. , Turner Justin , Vasilevskis Eduard E. , Dublin Sascha 
Published: June 2022

AbstractInterpreting results from deprescribing interventions to generate actionable evidence is challenging owing to inconsistent and heterogeneous outcome definitions between studies. We sought to characterize deprescribing intervention outcomes and recommend approaches to measure outcomes for future studies. A scoping literature review focused on deprescribing interventions for polypharmacy and informed a series of expert panel discussions and recommendations. Twelve experts in deprescribing research, policy, and clinical practice interventions participating in the Measures Workgroup of the US Deprescribing Research Network sought to characterize deprescribing outcomes and recommend approaches to measure outcomes for future studies. The scoping review identified 125 papers reflecting 107 deprescribing studies. Common outcomes included medication discontinuation, medication appropriateness, and a broad range of clinical outcomes potentially resulting from medication reduction. Panel recommendations included clearly defining clinically meaningful medication outcomes (e.g., number of chronic medications, dose reductions), ensuring adequate sample size and follow‐up time to capture clinical outcomes resulting from medication discontinuation (e.g., quality of life [QOL]), and selecting appropriate and feasible data sources. A new conceptual model illustrates how downstream clinical outcomes (e.g., reduction in falls) should be interpreted in the context of initial changes in medication measures (e.g., reduction in mean total medications). Areas needing further development include implementation outcomes specific to deprescribing interventions and measures of adverse drug withdrawal events. Generating evidence to guide deprescribing is essential to address patient, caregiver, and clinician concerns about the benefits and harms of medication discontinuation. This article provides recommendations and an initial conceptual framework for selecting and applying appropriate intervention outcomes to support deprescribing research.
Urban form and scale shaped the agroecology of early ‘cities’ in northern Mesopotamia, the Aegean and Central Europe
Authors: Styring Amy K. , Carmona Chris U. , Isaakidou Valasia , Karathanou Angeliki , Nicholls Geoff K. , Sarpaki Anaya , Bogaard Amy 
Published: June 2022

AbstractAgricultural extensification refers to an expansive, low‐input production strategy that is land rather than labour limited. Here, we present a robust method, using the archaeological proxies of cereal grain nitrogen isotope values and settlement size, to investigate the relationship between agricultural intensity and population size at Neolithic to Bronze/Iron Age settlement sites in northern Mesopotamia, the Aegean and south‐west Germany. We conclude that urban form—in particular, density of occupation—as well as scale shaped the agroecological trajectories of early cities. Whereas high‐density urbanism in northern Mesopotamia and the Aegean entailed radical agricultural extensification, lower density urbanism in south‐west Germany afforded more intensive management of arable land. We relate these differing agricultural trajectories to long‐term urban growth/collapse cycles in northern Mesopotamia and the Aegean, on the one hand, and to the volatility of early Iron Age elite power structures and urban centralization in south‐west Germany, on the other.
Evolutionary targets of gene expression divergence in a complex of closely related pine species
Authors: Zaborowska Julia , Perry Annika , Cavers Stephen , Wachowiak Witold M. 
Published: June 2022

AbstractThe environment is a powerful selective pressure for sessile organisms, such as plants, and adaptation to the environment is particularly important for long‐lived species, like trees. Despite the importance of adaptive trait variation to the survival and success of trees, the molecular basis of adaptation is still poorly understood. Gene expression patterns in three closely related, but phenotypically and ecologically divergent, pine species were analyzed to detect differentiation that may be associated with their adaptation to distinct environments. Total RNA of Pinus mugo, Pinus uncinata, and Pinus sylvestris samples grown under common garden conditions was used for de novo transcriptome assembly, providing a new reference dataset that includes species from the taxonomically challenging P. mugo complex. Gene expression profiles were found to be very similar with only 121 genes significantly diverged in any of the pairwise species comparisons. Functional annotation of these genes revealed major categories of distinctly expressed transcripts, including wood trait properties, oxidative stress response, and response to abiotic factors such as salinity, drought, and temperature. We discuss putative associations between gene expression profiles and adaptation to different environments, for example, the upregulation of genes involved in lignin biosynthesis in the species, which have adapted to mountainous regions characterized by strong winds and thick snow cover. Our study provides valid candidates for verification of the importance of the gene expression role, in addition to evidence for selection within genomic regions, in the process of ecological divergence and adaptation to higher altitudes in pine taxa.
Historical account of dwindling national flexibilities from the Paris Convention to post‐TRIPS era: What implications for access‐to‐medicines in low‐and‐middle‐income‐countries?
Authors: Olatunji Olugbenga A. 
Published: June 2022

AbstractIt is arguable that the most significant feature of the maiden Paris Convention is the creation of a remarkably broad national policy space which allowed Union members to balance the implementation of required obligations with the need to occasionally attend to national exigencies. Thus, a member may choose not to offer industrial property protection if national interests would be best served by doing so. While subsequent revisions to the Paris Convention chipped away at national flexibilities, the most strident attack to national flexibilities occurs under the Agreement for the Trade‐Related Aspects of Intellectual Property Rights and the period after it. This paper puts the almost‐unnoticed whittling down of national flexibilities in international patent agreements in historical perspective. It subsequently discusses four ways through which this development could exacerbate access‐to‐medicines in low‐and‐middle‐income‐countries.