bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancement of growth, antioxidative status, nonspecific immunity, and disease resistance in gibel carp (Carassius auratus) in response to dietary Flos populi extract
Authors: Zhang Xuhui , Sun Zhiyuan , Wang Yuheng , Cao Yindi , Wang Guibin , Cao Fuliang 
Published: January 2022

Abstract
This study investigated the effects of dietary Flos populi extract (FPE) on the growth, antioxidation capability, innate immune response, and disease resistance in gibel carp. A total of 480 fish were fed with five different diets containing 0, 0.5, 1.0, 1.5, or 2.0 g kg−1 FPE (designated as control, D0.5, D1.0, D1.5, or D2.0 groups) for 45 days. The fish were challenged with A. hydrophila after the feeding trial. Compared with the control, the feed efficiency (FE), weight gain (WG), final body weight (FBW), and specific growth rate (SGR) were significantly improved in groups D1.0 and D1.5. Dietary FPE significantly increased serum superoxide dismutase (SOD), glutathione peroxidase (GPx), and catalase (CAT) activities, as well as glutathione (GSH) content. The contents of protein carbonyl (PCC) and malondialdehyde (MDA) in serum decreased significantly. Additionally, FPE supplementation in diets resulted in significant improvement in serum lysozyme (LZM) and myeloperoxidase (MPO) activities, as well as immunoglobulin M (IgM) and complement 3 (C3) concentrations. The hepatic antioxidant enzymes (CAT and SOD) activities increased, whereas content of MDA decreased in fish treated with dietary FPE than those of control both pre- and post-challenged. After 12 h-challenge, an obvious downregulation of hepatic Kelch-like-ECH-associated protein 1 (Keap1), splenic tumor necrosis factor-α (TNF-α), interleukin (IL)-8, IL-1β, and toll-like receptor 2 (TLR2) mRNA levels was observed in fish treated with dietary FPE, whereas hepatic Nrf2 transcription level was upregulated compared to the control. Furthermore, compared to group D0.5, higher relative percent survival (RPS) was observed in gibel carp fed dietary 1.0–2.0 g/kg FPE. Our results reveal that FPE supplemented diet has a stimulatory effect on antioxidant capacity and nonspecific immune response, along with improved growth performance and enhanced resistance against A. hydrophila infection in juvenile gibel carp.
Spectacles of Settler Colonial Memory: Archaeological Findings from an Early Twentieth-Century “First” Settlement Pageant and Other Commemorative Terrain in New England
Authors: Howey Meghan C.L. , DeLucia Christine M. 
Published: January 2022

AbstractIn 1923, rural New England mill town Dover, New Hampshire, staged a Tercentenary pageant of extraordinary proportions to celebrate its “first” settlement. This public spectacle memorialized a specific, and deeply exclusionary, narrative of English settler colonialism, shaped by social anxieties of the post-First World War United States. Recent archaeological research has found possible remnants from this spectacle on a seventeenth-century site. In disturbing this site, the Tercentenary pageant appears to have disregarded actual significant material traces from the very era it aimed to memorialize--traces that offer distinct, fuller understandings of deeply nuanced Native-settler interactions in the Piscataqua River region. Dover’s pageant is situated in a regional analysis of Native and Euro-colonial commemorative place-making of the early twentieth century, exploring how different communities pursued multivocal, monovocal, or other approaches in their performative engagements with the seventeenth century.
A relational tsetlin machine with applications to natural language understanding
Authors: Saha Rupsa , Granmo Ole-Christoffer , Zadorozhny Vladimir I. , Goodwin Morten 
Published: January 2022

AbstractTsetlin machines (TMs) are a pattern recognition approach that uses finite state machines for learning and propositional logic to represent patterns. In addition to being natively interpretable, they have provided competitive accuracy for various tasks. In this paper, we increase the computing power of TMs by proposing a first-order logic-based framework with Herbrand semantics. The resulting TM isrelationaland can take advantage of logical structures appearing in natural language, to learn rules that represent how actions and consequences are related in the real world. The outcome is a logic program of Horn clauses, bringing in a structured view of unstructured data. In closed-domain question-answering, the first-order representation produces 10 × more compact KBs, along with an increase in answering accuracy from 94.83%to 99.48%. The approach is further robust towards erroneous, missing, and superfluous information, distilling the aspects of a text that are important for real-world understanding
Maybe So, Maybe Not: Canis lepophagus at Hagerman Fossil Beds National Monument, Idaho, USA
Authors: Prassack Kari A. , Walkup Laura C. 
Published: January 2022

AbstractA canid dentary is described from the Pliocene Glenns Ferry Formation at Hagerman Fossil Beds National Monument, south-central Idaho, USA. The specimen possesses traits in alliance with and measurements falling within or exceeding those of Canis lepophagus. The dentary, along with a tarsal IV (cuboid) and an exploded canine come from the base of the fossiliferous Sahara complex within the monument. Improved geochronologic control provided by new tephrochronologic mapping by the U.S. Geological Survey-National Park Service Hagerman Paleontology, Environments, and Tephrochronology Project supports an interpolated age of approximately 3.9 Ma, placing it in the early Blancan North American Land Mammal Age. It is conservatively referred to herein as Canis aff. C. lepophagus with the caveat that it is an early and robust example of that species. A smaller canid, initially assigned to Canis lepophagus and then to Canis ferox, is also known from Hagerman. Most specimens of Canis ferox, including the holotype, were recently reassigned to Eucyon ferox, but specimens from the Hagerman and Rexroad faunas were left as Canis sp. and possibly attributed to C. lepophagus. We agree that these smaller canids belong in Canis and not Eucyon but reject placing them within C. lepophagus; we refer to them here as Hagerman-Rexroad Canis. This study confirms the presence of two approximately coyote-sized canids at Hagerman and adds to the growing list of carnivorans now known from these fossil beds.
Bayesian optimization with partially specified queries
Authors: Hayashi Shogo , Honda Junya , Kashima Hisashi 
Published: January 2022

AbstractBayesian optimization (BO) is an approach to optimizing an expensive-to-evaluate black-box function and sequentially determines the values of input variables to evaluate the function. However, it is expensive and in some cases becomes difficult to specify values for all input variables, for example, in outsourcing scenarios where production of input queries with many input variables involves significant cost. In this paper, we propose a novel Gaussian process bandit problem, BO with partially specified queries (BOPSQ). In BOPSQ, unlike the standard BO setting, a learner specifies only the values of some input variables, and the values of the unspecified input variables are randomly determined according to a known or unknown distribution. We propose two algorithms based on posterior sampling for cases of known and unknown input distributions. We further derive their regret bounds that are sublinear for popular kernels. We demonstrate the effectiveness of the proposed algorithms using test functions and real-world datasets.
On the benefits of representation regularization in invariance based domain generalization
Authors: Shui Changjian , Wang Boyu , Gagné Christian 
Published: January 2022

AbstractA crucial aspect of reliable machine learning is to design a deployable system for generalizing new related but unobserved environments. Domain generalization aims to alleviate such a prediction gap between the observed and unseen environments. Previous approaches commonly incorporated learning the invariant representation for achieving good empirical performance. In this paper, we reveal that merely learning the invariant representation is vulnerable to the related unseen environment. To this end, we derive a novel theoretical analysis to control the unseen test environment error in the representation learning, which highlights the importance of controlling the smoothness of representation. In practice, our analysis further inspires an efficient regularization method to improve the robustness in domain generalization. The proposed regularization is orthogonal to and can be straightforwardly adopted in existing domain generalization algorithms that ensure invariant representation learning. Empirical results show that our algorithm outperforms the base versions in various datasets and invariance criteria.
The management of bone defect using long non-coding RNA as a potential biomarker for regulating the osteogenic differentiation process
Authors: Liu Jia-lin , Liu Yan-shi , Zheng Mei-jie , He Hui-yu 
Published: January 2022

AbstractTissue engineered bone brings hope to the treatment of bone defects, and the osteogenic differentiation of stem cells is the key link. Inducing osteogenic differentiation of stem cells may be a potential approach to promote bone regeneration. In recent years, lncRNA has been studied in the field increasingly, which is believed can regulate cell cycle, proliferation, metastasis, differentiation and immunity, participating in a variety of physiology and pathology processes. At present, it has been confirmed that certain lncRNAs regulate the osteogenesis of stem cells and take part in mediating signaling pathways including Wnt/β-catenin, MAPK, TGF-β/BMP, and Notch pathways. Here, we provided an overview of lncRNA, reviewed its researches in the osteogenic differentiation of stem cells, emphasized the importance of lncRNA in bone regeneration, and focused on the roles of lncRNA in signaling pathways, in order to make adequate preparations for applying lncRNA to bone tissue Engineering, letting it regulate the osteogenic differentiation of stem cells for bone regeneration.
Application of the WRF model rainfall product for the localized flood hazard modeling in a data-scarce environment
Authors: Umer Y. , Jetten V. , Ettema J. , Lombardo L. 
Published: January 2022

AbstractUrban flood hazard model needs rainfall with high spatial and temporal resolutions for flood hazard analysis to better simulate flood dynamics in complex urban environments. However, in many developing countries, such high-quality data are scarce. Data that exist are also spatially biased toward airports and urban areas in general, where these locations may not represent flood-prone areas. One way to gain insight into the rainfall data and its spatial patterns is through numerical weather prediction models. As their performance improves, these might serve as alternative rainfall data sources for producing optimal design storms required for flood hazard modeling in data-scarce areas. To gain such insight, we developed Weather Research and Forecasting (WRF) design storms based on the spatial distribution of high-intensity rainfall events simulated at high spatial and temporal resolutions. Firstly, three known storm events (i.e., 25 June 2012, 13 April 2016, and 16 April 2016) that caused the flood hazard in the study area are simulated using the WRF model. Secondly, the potential gridcell events that are able to trigger the localized flood hazard in the catchment are selected and translated to the WRF design storm form using a quantile expression. Finally, three different WRF design storms per event are constructed: Lower, median, and upper quantiles. The results are compared with the design storms of 2- and 10-year return periods constructed based on the alternating-block method to evaluate differences from a flood hazard assessment point of view. The method is tested in the case of Kampala city, Uganda. The comparison of the design storms indicates that the WRF model design storms properties are in good agreement with the alternating-block design storms. Mainly, the differences between the produced flood characteristics (e.g., hydrographs and the number of flood gird cells) when using WRF lower quantiles (WRFLs) versus 2-year and WRF upper quantiles (WRFUs) versus 10-year alternating-block storms are very minimal. The calculated aggregated performance statistics (F scores) for the simulated flood extent of WRF design storms benchmarked with the alternating-block storms also produced a higher score of 0.9 for both WRF lower quantiles versus 2-year and WRF upper quantile versus 10-year alternating-block storm. The result suggested that the WRF design storms can be considered an added value for flood hazard assessment as they are closer to real systems causing rainfall. However, more research is needed on which area can be considered as a representative area in the catchment. The result has practical application for flood risk assessment, which is the core of integrated flood management.
Prevalence of comorbidities and concomitant medication use in acromegaly: analysis of real-world data from the United States
Authors: Fleseriu Maria , Barkan Ariel , del Pilar Schneider Maria , Darhi Yannis , de Pierrefeu Amicie , Ribeiro-Oliveira Antonio , Petersenn Stephan , Neggers Sebastian , Melmed Shlomo 
Published: January 2022

Abstract
Purpose
Patients receiving treatment for acromegaly often experience significant associated comorbidities for which they are prescribed additional medications. We aimed to determine the real-world prevalence of comorbidities and concomitant medications in patients with acromegaly, and to investigate the association between frequency of comorbidities and number of concomitantly prescribed medications.

Methods
Administrative claims data were obtained from the IBM® MarketScan® database for a cohort of patients with acromegaly, identified by relevant diagnosis codes and acromegaly treatments, and a matched control cohort of patients without acromegaly from January 2010 through April 2020. Comorbidities were identified based on relevant claims and assessed for both cohorts.

Results
Overall, 1175 patients with acromegaly and 5875 matched patients without acromegaly were included. Patients with acromegaly had significantly more comorbidities and were prescribed concomitant medications more so than patients without acromegaly. In the acromegaly and control cohorts, respectively, 67.6% and 48.4% of patients had cardiovascular disorders, the most prevalent comorbidities, and 89.0% and 68.3% were prescribed > 3 concomitant medications (p < 0.0001). Hypopituitarism and hypothalamic disorders, sleep apnea, malignant neoplasms and cancer, and arthritis and musculoskeletal disorders were also highly prevalent in the acromegaly cohort. A moderate, positive correlation (Spearman correlation coefficient 0.60) was found between number of comorbidities and number of concomitant medications in the acromegaly cohort.

Conclusion
Compared with patients without acromegaly, patients with acromegaly have significantly more comorbidities and are prescribed significantly more concomitant medications. Physicians should consider the number and type of ongoing medications for individual patients before prescribing additional acromegaly treatments.
Social Development with Public Value: An International Comparison
Authors: Wang Bing , Xia Longmei , Wu Alfred M. 
Published: January 2022

AbstractSocial development around the world has been stunted by the lack of a comprehensive understanding and definition of public value. Public value theory can provide guidance, and inform a universal standard for social development. However, it is difficult to define and measure public value due to its philosophical complexity. Public values are driven by various economic, political, and social forces, and can be created by many stakeholders including enterprises, governments and non-governmental organisations. Government is central to human society and is primarily responsible for inclusive social development, which requires setting and maintaining public values orderly and synchronously according to the plurality of views held by those in society. Social development failure may occur when some key public values are ignored. This study uses thirty economic, social, and political indicators to measure public value, and the results demonstrate strong correlations among them. Through a principal component analysis and a cluster analysis, these thirty indicators can be reduced to four principal components. The first one, which represents economic value, can explain 65.8% of the total information, identifying that economic value is playing a fundamental role among plural public values. Countries are clustered and their development neighbors are identified in order to compare countries with similar levels of development. Public value theory can help to understand the advantages and disadvantages of different countries, and advance the social and economic progress steadily and authentically.
Enacting Ought: Ethics, Anti-Racism, and Interactional Possibilities
Authors: Fourlas George N. , Cuffari Elena Clare 
Published: January 2022

AbstractFocusing on political and interpersonal conflict in the U.S., particularly racial conflict, but with an eye to similar conflicts throughout the world, we argue that the enactive approach to mind as life can be elaborated to provide an exigent framework for present social-political problems. An enactive approach fills problematic lacunae in the Western philosophical ethics project by offering radically refigured notions of responsibility and language. The dual enactive, participatory insight is that interactional responsibility is not singular and language is not an individual property or ability, something that someone simply and uniformly 'has' or 'controls'. These points have not been integrated into our self-understanding as moral actors, to everyone’s detriment. We first advocate for adequate appreciation of Colombetti and Torrance’s 2009 suggestion that participatory sense-making necessarily implies shared responsibility for interactional outcomes. We argue that the enactive approach presents open-ended cultivation of virtue as embodied, contextualized, and dynamic know-how and destabilizes an individualist metaphysics. Putting this framework to work, we turn to the interactional challenges of conversations that concern differences and that involve potentially oppositional parties, offering a reading of Claudia Rankine’s Just Us. Finally, we make explicit Rankine’s normative project of mindful navigation of multiple perspectives in an interaction. We abstract three interrelated spheres of participatory intervention: location, language, and labor. These also indicate routes for empirical investigation into complex perspective-taking in dynamic interactions.
Rank-sensitive proportional aggregations in dynamic recommendation scenarios
Authors: Balcar Stepan , Skrhak Vit , Peska Ladislav 
Published: January 2022

AbstractIn this paper, we focus on the problem of rank-sensitive proportionality preservation when aggregating outputs of multiple recommender systems in dynamic recommendation scenarios. We believe that individual recommenders may provide complementary views on the user’s preferences or needs, and therefore, their proportional (i.e. unbiased) aggregation may be beneficial for the long-term user satisfaction. We propose an aggregation framework (FuzzDA) based on a modified D’Hondt’s algorithm (DA) for proportional mandates allocation. Specifically, we adjusted DA to register fuzzy membership of items and modified the selection procedure to balance both relevance and proportionality criteria. Furthermore, we propose several iterative votes assignment strategies and negative implicit feedback incorporation strategies to make FuzzDA framework applicable in dynamic recommendation scenarios. Overall, the framework should provide benefits w.r.t. long-term novelty of recommendations, diversity of recommended items as well as overall relevance. We evaluated FuzzDA framework thoroughly both in offline simulations and in online A/B testing. Framework variants outperformed baselines w.r.t. click-through rate (CTR) in most of the evaluated scenarios. Some variants of FuzzDA also provided the best or close-to-best iterative novelty (while maintaining very high CTR). While the impact of the framework variants on user-wise diversity was not so extensive, the trade-off between CTR and diversity seems reasonable.
CrowdMed-II: a blockchain-based framework for efficient consent management in health data sharing
Authors: Hu Chaochen , Li Chao , Zhang Guigang , Lei Zhiwei , Shah Mira , Zhang Yong , Xing Chunxiao , Jiang Jinpeng , Bao Renyi 
Published: January 2022

AbstractThe healthcare industry faces serious problems with health data. Firstly, health data is fragmented and its quality needs to be improved. Data fragmentation means that it is difficult to integrate the patient data stored by multiple health service providers. The quality of these heterogeneous data also needs to be improved for better utilization. Secondly, data sharing among patients, healthcare service providers and medical researchers is inadequate. Thirdly, while sharing health data, patients’ right to privacy must be protected, and patients should have authority over who can access their data. In traditional health data sharing system, because of centralized management, data can easily be stolen, manipulated. These systems also ignore patient’s authority and privacy. Researchers have proposed some blockchain-based health data sharing solutions where blockchain is used for consensus management. Blockchain enables multiple parties who do not fully trust each other to exchange their data. However, the practice of smart contracts supporting these solutions has not been studied in detail. We propose CrowdMed-II, a health data management framework based on blockchain, which could address the above-mentioned problems of health data. We study the design of major smart contracts in our framework and propose two smart contract structures. We also introduce a novel search contract for searching patients in the framework. We evaluate their efficiency based on the execution costs on Ethereum. Our design improves on those previously proposed, lowering the computational costs of the framework. This allows the framework to operate at scale and is more feasible for widespread adoption.