bluuebunny/crossref_metadata_2025_split huggingface dataset:
Habitat expansion in response to sea-level rise by the fiddler crab Minuca pugnax (Smith, 1870) (Decapoda: Brachyura: Ocypodidae) in southern New England salt marshes
Authors: Zajac Roman N , Gurr Samuel J , Bassett Colin C , Kleiman Lauren , Kelly John T , Simon Zachary 
Published: February 2022

Abstract
Global change phenomena are shifting species distributions across multiple spatial and temporal scales. We examined the expansion of the fiddler crab, Minuca pugnax (Smith 1870), into high-marsh habitats along the Connecticut, USA coast. Previously reported as primarily found in low-marsh habitats in northeastern USA, our results indicate that large populations now occupy high-marsh habitats related to increased tidal range and inundation. Where expansion was evident, high-marsh population abundances were ~2.6× that in the low marsh through the summer and fall, given the relative areas of, and densities in each. Crabs on the high marsh ranged in size from newly settled individuals to large adults, and exhibited typical feeding and reproductive behaviors. Crab numbers greatly exceed the number of burrows on the high marsh, were active during high tides, and did not retreat into burrows. Mark-recapture studies indicated crabs mostly remained in one or the other habitat, with some movement between the low and high marsh. During late fall and winter, individuals of M. pugnax are only found in the low marsh. Depending on the size of the high-marsh population that migrates into the low marsh to overwinter, this may increase intraspecific competition for available space and burrows, resulting in population bottlenecks that may affect subsequent habitat-specific population dynamics. Several severe winters during the study appear to have caused high mortality, decreasing crab abundances on the high marsh in subsequent seasons. As salt marsh environments change due to sea-level rise and other factors, resident and transient fauna may experience conditions that are, or are not, within their range of biological adaptations. Minuca pugnax is exhibiting a positive response to such changes in southern New England, and large populations on the high marsh during much of the year may have a significant impact on the future ecology of these ecosystems.
SwinE-Net: hybrid deep learning approach to novel polyp segmentation using convolutional neural network and Swin Transformer
Authors: Park Kyeong-Beom , Lee Jae Yeol 
Published: February 2022

Abstract
Prevention of colorectal cancer (CRC) by inspecting and removing colorectal polyps has become a global health priority because CRC is one of the most frequent cancers in the world. Although recent U-Net-based convolutional neural networks (CNNs) with deep feature representation and skip connections have shown to segment polyps effectively, U-Net-based approaches still have limitations in modeling explicit global contexts, due to the intrinsic nature locality of convolutional operations. To overcome these problems, this study proposes a novel deep learning model, SwinE-Net, for polyp segmentation that effectively combines a CNN-based EfficientNet and Vision Transformer (ViT)-based Swin Ttransformer. The main challenge is to conduct accurate and robust medical segmentation in maintaining global semantics without sacrificing low-level features of CNNs through Swin Transformer. First, the multidilation convolutional block generates refined feature maps to enhance feature discriminability for multilevel feature maps extracted from CNN and ViT. Then, the multifeature aggregation block creates intermediate side outputs from the refined polyp features for efficient training. Finally, the attentive deconvolutional network-based decoder upsamples the refined and combined feature maps to accurately segment colorectal polyps. We compared the proposed approach with previous state-of-the-art methods by evaluating various metrics using five public datasets (Kvasir, ClinicDB, ColonDB, ETIS, and EndoScene). The comparative evaluation, in particular, proved that the proposed approach showed much better performance in the unseen dataset, which shows the generalization and scalability in conducting polyp segmentation. Furthermore, an ablation study was performed to prove the novelty and advantage of the proposed network. The proposed approach outperformed previous studies.
Mitochondrial Genome Architecture and Evolutionary Origin of the Yao Silkworm, a Living Fossil of the Domestic Silkworm Bombyx mori (Lepidoptera: Bombycidae)
Authors: Zhang Gui-Zheng , Zhang Yu-Li , Wei Wei , Li Yu-Ping , Liu Yan-Qun , Bi Li-Hui , Lu Cheng 
Published: February 2022

Abstract
The Yao silkworm is a unique silkworm resource producing yellow flat plate silk that has only been reared by the Baiku Yao ethnic group in Nandan County, Guangxi Province, China for a thousand years. Here, we report the mitochondrial genomes (mitogenomes) of five Yao silkworm strains and 10 local Guangxi strains of the domestic silkworm (Bombyx mori) L. (Lepidoptera: Bombycidae), and use the resulting mitogenomes and the available Bombyx mitogenomes to characterize their genome architecture and trace the evolutionary origin of the Yao silkworm. The five Yao silkworm mitogenomes exhibited genome architectures identical to typical set of 37 mitochondrial genes (13 protein-coding genes, 22 transfer RNAs, and two ribosomal RNAs) and a high level of genome sequence similarity with the domestic silkworm. Mitogenome-based phylogenetic reconstruction provided solid evidence that the Yao silkworm shares a common ancestor with the domestic silkworm. Sliding window analysis uncovered a distinct variation pattern in the mitogenome between the Yao silkworm and the other domestic silkworm strains. The phylogenetic analyses revealed a basal placement of the Yao silkworm among all available domestic silkworm strains, indicating that the Yao silkworm is an ancient population of the domestic silkworm. Our data indicated that the Yao silkworm (B. mori) is a lineage of the domestic silkworm, which for the first time provides insights into the origin of the Yao silkworm.
‘Rise, Kill and Eat!’—A Missing Dionysian Link in the Acts of the Apostles?
Authors: Moxon John R L 
Published: February 2022

Abstract
It has long been suggested that via a sequence of running motifs, the author of Luke–Acts plays upon a perceived analogy between early Christianity and the Dionysian cult. Scholars often claim that Luke modelled the unconverted Paul on the persecuting King Pentheus in Euripides’ Bacchae, not only because of the pattern of opposition to a new religious movement, but also because of specific wording and imagery in several narratives, particularly the Damascus Road vision in Acts 9:1–9. Peter, however, is rarely read in such terms. One reason for this is that although aspects of his broader characterisation fit Penthean themes, as do points of detail in some passages, his corresponding vision in Acts 10:9–16, whilst ‘oppositional’ in general terms, is not felt to carry any specifically Dionysian overtones. This tends to leave Paul as the sole ‘Pentheus’. Yet Peter’s vision, with its alarming meal of live animals arguably boasts a Bacchic motif of similar strength, pressing its parity to the Pauline account. I suggest that this new connection not only makes the Lukan ‘parallelisation’ more thoroughgoing but shows how a Dionysian intertexture was felt to be particularly suitable for capturing the sense of perplexity, menace, and personal undoing evident in the two visionary encounters.
Reliable Detection of T-Cell Clonality by Flow Cytometry in Mature T-Cell Neoplasms Using TRBC1: Implementation as a Reflex Test and Comparison with PCR-Based Clonality Testing
Authors: Waldron Deirdre , O’Brien David , Smyth Laura , Quinn Fiona , Vandenberghe Elizabeth 
Published: February 2022

Abstract

Objective
The T-cell receptor β constant region 1 (TRBC1) antibody can identify T-cell clonality and distinguish pathological from normal T cells. This study aims to establish optimal cutpoints for establishing monotypia and validate the diagnostic abilities of the TRBC1 antibody when used as a reflex test in conjunction with an existing T-cell antibody panel.

Materials and Methods
We used 46 normal peripheral blood specimens and examined 8 patients with reactive lymphoproliferations to determine the normal biological range of TRBC1 on CD4+ and CD8+ T cells. We also evaluated 43 patient specimens that were submitted for investigation of a lymphoproliferative disorder for CD2/CD3/CD4/CD5/CD7/CD8/CD16/CD26/CD45/CD56/TCR αβ/TCR γδ, along with TRBC1 expression. The results were compared to TCR gene rearrangement patterns using polymerase chain reaction (PCR) analysis.

Results
Statistical analysis established differing cutoff points for establishing monotypia dependent on restricted TRBC1 or TRBC2 usage. Direct comparison with molecular analysis indicated that no specimen identified with the restricted expression of TRBC1 was reported as polyclonal by PCR with a concordance rate of 97% between a clonal PCR result and monotypic TRBC1 expression.

Conclusion
Incorporation of the TRBC1 antibody using statistically derived cutoff points in a reflex setting for the evaluation of a suspected T-cell neoplasm improves the identification of clonal T-cell populations by flow cytometry and correlates well with molecular methods.
Hybrid sabotage modal logic
Authors: van Benthem Johan , Li Lei , Shi Chenwei , Yin Haoxuan 
Published: February 2022

Abstract
We introduce a new hybrid modal logic HSML for reasoning about sabotage-style graph games with edge deletions and provide a complete Hilbert-style axiomatization. We extend the completeness analysis to protocol models with restrictions on available edge deletions and clarify the connections between HSML-style logics of edge deletions and recent modal logics for stepwise point deletion from graphs.
Commutative action logic
Authors: Kuznetsov Stepan L 
Published: February 2022

AbstractWe prove undecidability and pinpoint the place in the arithmetical hierarchy for commutative action logic, i.e. the equational theory of commutative residuated Kleene lattices (action lattices), and infinitary commutative action logic, the equational theory of *-continuous commutative action lattices. Namely, we prove that the former is $\varSigma _1^0$-complete and the latter is $\varPi _1^0$-complete. Thus, the situation is the same as in the more well-studied non-commutative case. The methods used, however, are different: we encode infinite and circular computations of counter (Minsky) machines.
On the plurality of graphs
Authors: Fitzgerald Nicole , Tagliabue Jacopo 
Published: February 2022

AbstractWe investigate David Lewis’ signalling games dynamics in the context of neural agents as embedded in realistic graph structures. We follow in the footstep of both the deep learning tradition—in moving away from pure rule-based models—, and the symbolic literature—in leveraging discrete, top-down structures to constrain the learning process. Through a series of experiments in which we systematically vary the social graphs connecting the players, we are able to show for the first time that the dynamics of language emergence within a population of neural agents is strongly influenced by the underlying graph topology constraining their interactions.
Shan–Chen interacting vacuum cosmology
Authors: Hogg Natalie B , Bruni Marco 
Published: February 2022

ABSTRACT
In this paper, we introduce a novel class of interacting vacuum models, based on recasting the equation of state originally developed in the context of lattice kinetic theory by Shan & Chen as the coupling between the vacuum and cold dark matter (CDM). This coupling allows the vacuum to evolve and is non-linear around a characteristic energy scale ρ*, changing into a linear coupling with a typical power-law evolution at scales much lower and much higher than ρ*. Focusing on the simplest sub-class of models where the interaction consists only of an energy exchange and the CDM remains geodesic, we first illustrate the various possible models that can arise from the Shan–Chen coupling, with several different behaviours at both early and late times depending on the values of the model parameters selected. We then place the first observational constraints on this Shan–Chen interacting vacuum scenario, performing an MCMC analysis to find those values of the model and cosmological parameters which are favoured by observational data. We focus on models where the non-linearity of the coupling is relevant at late times, choosing for the reference energy scale ρ*, the critical energy density in ΛCDM. We show that the observational data we use are compatible with a wide range of models which result in different cosmologies. However, we also show that ΛCDM is preferred over all of the Shan–Chen interacting vacuum models that we study, and comment on the inability of these models to relax the H0 and σ8 tensions.
ABA-induced phosphorylation of basic leucine zipper 29, ABSCISIC ACID INSENSITIVE 19, and Opaque2 by SnRK2.2 enhances gene transactivation for endosperm filling in maize
Authors: Yang Tao , Wang Haonan , Guo Liangxing , Wu Xingguo , Xiao Qiao , Wang Jiechen , Wang Qiong , Ma Guangjin , Wang Wenqin , Wu Yongrui 
Published: February 2022

AbstractOpaque2 (O2) functions as a central regulator of the synthesis of starch and storage proteins and the O2 gene is transcriptionally regulated by a hub coordinator of seed development and grain filling, ABSCISIC ACID INSENSITIVE 19 (ZmABI19), in maize (Zea mays). Here, we identified a second hub coordinator, basic Leucine Zipper 29 (ZmbZIP29) that interacts with ZmABI19 to regulate O2 expression. Like zmabi19, zmbzip29 mutations resulted in a dramatic decrease of transcript and protein levels of O2 and thus a significant reduction of starch and storage proteins. zmbzip29 seeds developed slower and had a smaller size at maturity than those of the wild type. The zmbzip29;zmabi19 double mutant displayed more severe seed phenotypes and a greater reduction of storage reserves compared to the single mutants, whereas overexpression of the two transcription factors enhanced O2 expression, storage-reserve accumulation, and kernel weight. ZmbZIP29, ZmABI19, and O2 expression was induced by abscisic acid (ABA). With ABA treatment, ZmbZIP29 and ZmABI19 synergistically transactivated the O2 promoter. Through liquid chromatography tandem-mass spectrometry analysis, we established that the residues threonine(T) 57 in ZmABI19, T75 in ZmbZIP29, and T387 in O2 were phosphorylated, and that SnRK2.2 was responsible for the phosphorylation. The ABA-induced phosphorylation at these sites was essential for maximum transactivation of downstream target genes for endosperm filling in maize.
Effects of incipient pairing on nonequilibrium quasiparticle transport in Fermi liquids
Authors: Lin Wei-Ting , Sauls J A 
Published: February 2022

Abstract
The low-temperature properties of a wide range of many-fermion systems spanning metals, quantum gases and liquids to nuclear matter are well understood within the framework of Landau’s theory of Fermi liquids. The low-energy physics of these systems is governed by interacting fermionic quasiparticles with momenta and energies near a Fermi surface in momentum space. Nonequilibrium properties are described by a kinetic equation for the distribution function for quasiparticles proposed by Landau. Quasiparticle interactions with other quasiparticles, phonons, or impurities lead to internal forces acting on a distribution of nonequilibrium quasiparticles, as well as collision processes that ultimately limit the transport of mass, heat, charge, and magnetization, as well as limiting the coherence times of quasiparticles. For Fermi liquids that are close to a second-order phase transition, e.g., Fermi liquids that undergo a superfluid transition, incipient Cooper pairs—long-lived fluctuations of the ordered phase—provide a new channel for scattering quasiparticles, as well as corrections to internal forces acting on the distribution of nonequilibrium quasiparticles. We develop the theory of quasiparticle transport for Fermi liquids in the vicinity of a BCS-type superfluid transition starting from Keldysh’s field theory for nonequilibrium, strongly interacting fermions. The leading corrections to Fermi-liquid theory for nonequilibrium quasiparticle transport near a Cooper instability arise from the virtual emission and absorption of incipient Cooper pairs. Our theory is applicable to quasiparticle transport in superconductors, nuclear matter, and the low-temperature phases of liquid 3He. As an implementation of the theory we calculate the pairing-fluctuation corrections to the attenuation of zero sound in liquid 3He near the superfluid transition and demonstrate quantitative agreement with experimental results.
Health insurance support on maternal health care: evidence from survey data in India
Authors: Ali Imtiyaz , Akhtar Saddaf Naaz , Chauhan Bal Govind , Malik Manzoor Ahmad , Singh Kapil Dev 
Published: February 2022

Abstract

Background
Maternal health care financing is key to the smooth functioning of health systems in a country. In India, maternal health care still persists as a major public health issue. Adequate health insurance could transform the utilization of maternal health care services. Therefore, we aim to examine the health insurance policies that cover maternal health and their performance in India.

Methods
The unit-level data of social consumption on health by the National Sample Survey Organizations, conducted in India (2017–18), are used. Bivariate analysis, logistic regression and propensity scoring matching are applied.

Results
About 14.1% women are covered by health insurance support at the national level. Uninsured women are less likely to receive full antenatal care (ANC) services and institutional delivery. Socio-economic characteristics play a significant role in utilizing maternal health care benefits through health insurance support.

Conclusions
Our study concludes that the health insurance coverage is the most significant contributor to the better utilization of full ANC and institutional delivery at the national level and hindrances in accessing them. There is a need for proactive and inclusive policy development by the Government of India to incentivize public financing through health insurance, which can shrink the challenges of public health burden and reduce the health risk.
VAT: a precise mechanism to identify drug-food companies
Authors: Cooper Kate , Parle James , Middleton John D 
Published: February 2022

Abstract
The impact of drug-foods (tobacco and cane sugar, cocoa and caffeine) and the consequences of their production on the health of both public and planet are wide ranging and increasing from obesity to pressure on water supply. The world’s food system is dominated by a small number of global corporations making and promoting drug-foods in myriad forms. The use of sugar-substitute non-sugar sweeteners, and their design of products, are specifically formulated to be ‘moreish’, to stimulate pleasure responses above and beyond the natural pleasure of eating. In the UK we can identify these foods, and the corporations that make them, since Value Added Tax (VAT) is applied. We suggest that, for food and drink upon which UK VAT is levied, advertising and product placement should be prohibited and controls put on branding and packaging. We further suggest action is taken to: (i) restrain the activities of the companies making these products, (ii) prohibit their sponsorship and/or partnership with government bodies such as schools and NHS, (iii) ensure these corporations pay the full fiscal and environmental costs of drug-foods. Our urgent challenge is to act against the sociopathic power of such corporations, for the public health and that of the planet.
Employing Contemporary Integrative Interpersonal Theory to Understand Dysfunction in Those at Clinical High Risk for Psychosis
Authors: Williams Trevor F , Ellman Lauren M , Schiffman Jason , Mittal Vijay A 
Published: February 2022

Abstract
Poor social functioning is related to the development of psychosis; however, our current understanding of social functioning in those at-risk for psychosis is limited by (a) poor conceptual models of interpersonal behavior and (b) a reliance on comparisons to healthy controls (e.g., vs. clinical controls). In this study, we introduce Contemporary Integrated Interpersonal Theory (CIIT) and use its Interpersonal Circumplex (IPC) model to compare interpersonal behavior traits in those at clinical high-risk (CHR) for psychosis, clinical controls, and healthy controls. A community sample (N = 3460) was used to derive estimates of IPC dimensions (i.e., affiliation and dominance), which were then compared among a large subsample that completed diagnostic interviews (N = 337), which included a CHR group, as well as several control groups ranging on degree of psychosis vulnerability and internalizing disorders. CHR individuals were distinguished from healthy controls by low affiliation (d = –1.31), and from internalizing disorder groups by higher dominance (d = 0.64). Negative symptoms were consistently associated with low affiliation and low dominance, whereas positive symptoms were related primarily to coldness. These results connect social functioning in psychosis risk to a rich theoretical framework and suggest a potentially distinct interpersonal signature for CHR individuals. More broadly, this study suggests that CIIT and the IPC may have utility for informing diagnostics and treatment development in psychosis risk research.
The spatial distribution of public support for AI research
Authors: Chowdhury Farhat , Link Albert N , van Hasselt Martijn 
Published: February 2022

Abstract
A spatial distributional analysis of the population of Phase II research projects funded by the US SBIR program in FY 2020 shows differences across states in projects focused on artificial intelligence (AI). AI is a relatively new research field, and this paper contributes to a better understanding of government support for such research. We find that AI projects are concentrated in states with complementary AI research resources available from universities nationally ranked in terms of their own AI research. To achieve a more diverse spatial distribution of AI-related technology development, the availability of complementary AI research resources must be expanded. We suggest that the National Science Foundation’s National AI Research Institutes represents an important step in this direction.