bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abundance of undiagnosed cardiometabolic risk within the population of a long-stay prison in the UK
Authors: Gray Benjamin J , Craddock Christie , Couzens Zoe , Bain Evie , Dunseath Gareth J , Shankar Ananda Giri , Luzio Stephen D , Perrett Stephanie E 
Published: September 2020

Abstract

Background
The health of people in prisons is a public health issue. It is well known that those in prison experience poorer health outcomes than those in the general community. One such example is the burden of non-communicable diseases, more specifically cardiovascular disease (CVD), stroke and type 2 diabetes (T2DM). However, there is limited evidence research on the extent of cardiometabolic risk factors in the prison environment in Wales, the wider UK or globally.

Methods
Risk assessments were performed on a representative sample of 299 men at HMP Parc, Bridgend. The risk assessments were 30 min in duration and men aged 25–84 years old and free from pre-existing CVD and T2DM were eligible. During the risk assessment, a number of demographic, anthropometric and clinical markers were obtained. The 10-year risk of CVD and T2DM was predicted using the QRISK2 algorithm and Diabetes UK Risk Score, respectively.

Results
The majority of the men was found to be either overweight (43.5%) or obese (37.5%) and/or demonstrated evidence of central obesity (40.1%). Cardiometabolic risk factors including systolic hypertension (25.1%), high cholesterol (29.8%), low HDL cholesterol (56.2%) and elevated total cholesterol: HDL ratios (23.1%) were observed in a considerable number of men. Ultimately, 15.4% were calculated at increased risk of CVD, and 31.8% predicted at moderate or high risk of T2DM.

Conclusions
Overall, a substantial prevalence of previously undiagnosed cardiometabolic risk factors was observed and men in prison are at elevated risk of cardiometabolic disease at a younger age than current screening guidelines.
Functional Contexts of Adipose and Gluteal Muscle Tissue Gene Co-expression Networks in the Domestic Horse
Authors: Schaefer Robert J , Cullen Jonah , Manfredi Jane , McCue Molly E 
Published: September 2020

Synopsis
A gene’s response to an environment is tightly bound to the underlying genetic variation present in an individual’s genome and varies greatly depending on the tissue it is being expressed in. Gene co-expression networks provide a mechanism to understand and interpret the collective transcriptional responses of genes. Here, we use the Camoco co-expression network framework to characterize the transcriptional landscape of adipose and gluteal muscle tissue in 83 domestic horses (Equus caballus) representing 5 different breeds. In each tissue, gene expression profiles, capturing transcriptional response due to variation across individuals, were used to build two separate, tissue-focused, genotypically-diverse gene co-expression networks. The aim of our study was to identify significantly co-expressed clusters of genes in each tissue, then compare the clusters across networks to quantify the extent that clusters were found in both networks as well as to identify clusters found in a single network. The known and unknown functions for each network were quantified using complementary, supervised, and unsupervised approaches. First, supervised ontological enrichment was utilized to quantify biological functions represented by each network. Curated ontologies (gene ontology [GO] and Kyoto Encyclopedia of Gene and Genomes [KEGG]) were used to measure the known biological functions present in each tissue. Overall, a large percentage of terms (40.3% of GO and 41% of KEGG) were co-expressed in at least one tissue. Many terms were co-expressed in both tissues; however, a small proportion of terms exhibited single tissue co-expression suggesting functional differentiation based on curated, functional annotation. To complement this, an unsupervised approach not relying on ontologies was employed. Strongly co-expressed sets of genes defined by Markov clustering identified sets of unannotated genes showing similar patterns of co-expression within a tissue. We compared gene sets across tissues and identified clusters of genes the either segregate in co-expression by tissue or exhibit high levels of co-expression in both tissues. Clusters were also integrated with GO and KEGG ontologies to identify gene sets containing previously curated annotations versus unannotated gene sets indicating potentially novel biological function. Coupling together these transcriptional datasets, we mapped the transcriptional landscape of muscle and adipose setting up a generalizable framework for interpreting gene function for additional tissues in the horse and other species.
Hereditary Species as Monoidal Decomposition Spaces, Comodule Bialgebras, and Operadic Categories
Authors: Carlier Louis 
Published: September 2020

Abstract
We show that Schmitt’s hereditary species induce monoidal decomposition spaces and exhibit Schmitt’s bialgebra construction as an instance of the general bialgebra construction on a monoidal decomposition space. We show furthermore that this bialgebra structure coacts on the underlying restriction-species bialgebra structure so as to form a comodule bialgebra. Finally, we show that hereditary species induce a new family of examples of operadic categories in the sense of Batanin and Markl [ 4].
Effects of high-amylase corn on performance and carcass quality of finishing beef heifers
Authors: Horton Lucas M , Van Bibber-Krueger Cadra L , Müller Hans C , Drouillard James S 
Published: September 2020

Abstract
Developed initially for use in fuel ethanol production, Enogen Feed Corn (EFC; Syngenta Crop Protection) is genetically modified to express high concentrations of α-amylase in the corn kernel. Experiments were conducted to evaluate processing characteristics of EFC, in vitro digestion, and effects on feedlot performance, carcass characteristics, and liver abscess incidence. Experiment 1 used a randomized complete block design (3 × 3 × 5 factorial) to evaluate starch availability, in situ dry matter disappearance (ISDMD), in vitro gas production (IVGP), and volatile fatty acid (VFA) profiles of in vitro cultures. Grains (EFC or mill-run control [CON]) were flaked to a density of 360 g/L, and mixtures with 0%, 25%, 50%, 75%, or 100% EFC were prepared. Grains were tempered with added moisture (0%, 3%, or 6%) prior to steam conditioning for 15, 30, or 45 min. No two- or three-way interactions were observed. Adding moisture improved starch availability (linear; P &lt; 0.01), and tended to improve ISDMD (linear, P = 0.06). Steam conditioning for 30 min improved starch availability, IVGP, and production of acetate, propionate, butyrate, valerate, and total VFA (P &lt; 0.01) compared with conditioning for 15 or 45 min. Starch availability, ISDMD, IVGP, acetate, propionate, valerate, and total VFA production increased with an increasing proportion of EFC (linear, P &lt; 0.01). Experiment 2 used 700 beef heifers (394 ± 8.5 kg initial body weight [BW]) fed finishing diets with steam-flaked corn as CON or EFC for 136 d. Targeting similar starch availabilities, grains were processed to 360 g/L (CON) and 390 g/L for CON and EFC, respectively. Heifers were blocked by BW, stratified, and then randomly assigned to 28 dirt-surfaced pens (25 animals per pen). Dry matter intakes were similar between treatments (P = 0.78), but cattle fed EFC had greater average daily gain (P &lt; 0.01), improving feed efficiency by 5% (P &lt; 0.01). Hot carcass weight was 6 kg greater for EFC cattle (P &lt;0.01) than CON. No differences were observed for longissimus muscle area (P = 0.89), 12th-rib fat thickness (P = 0.21), or USDA yield grade (P = 0.13). Cattle fed CON had greater marbling scores than EFC (P = 0.04), but this did not affect the USDA quality grade (P &gt; 0.33). Cattle fed EFC had 23% fewer abscessed livers than CON (P = 0.03). High-amylase corn may be used to improve microbial digestion, mill-throughput, and cattle performance, and it may mitigate liver abscesses.
Re-examining the Experiential Advantage in Consumption: A Meta-Analysis and Review
Authors: Weingarten Evan , Goodman Joseph K 
Published: September 2020

AbstractA wealth of consumer research has proposed an experiential advantage: consumers yield greater happiness from purchasing experiences compared to material possessions. While this research stream has undoubtedly influenced consumer research, few have questioned its limitations, explored moderators, or investigated filedrawer effects. This has left marketing managers, consumers, and researchers questioning the relevance of the experiential advantage. To address these questions, the authors develop a model of consumer happiness and well-being based on psychological needs (i.e., autonomy, relatedness, self-esteem, and meaningfulness), and conduct an experiential advantage meta-analysis to test this model. Collecting 360 effect sizes from 141 studies, the meta-analysis supports the experiential advantage (d = 0.383, 95% CI [0.336, 0.430]), of which approximately a third of the effect may be attributable to publication bias. The analysis finds differential effects depending on the type of dependent measure, suggesting that the experiential advantage may be more tied to relatedness than to happiness and willingness to pay. The experiential advantage is reduced for negative experiences, for solitary experiences, for lower socioeconomic status consumers, and when experiences provide a similar level of utilitarian benefits relative to material goods. Finally, results suggest future studies in this literature should use larger sample sizes than current practice.
Jasmonic Acid-Isoleucine (JA-Ile) Is Involved in the Host-Plant Resistance Mechanism Against the Soybean Aphid (Hemiptera: Aphididae)
Authors: Yates-Stewart Ashley D , Pekarcik Adrian , Michel Andy , Blakeslee Joshua J 
Published: September 2020

Abstract
Host-plant resistance (HPR) is an important tool for pest management, affording both economic and environmental benefits. The mechanisms of aphid resistance in soybean are not well understood, but likely involve the induction of the jasmonic acid (JA) pathway, and possibly other phytohormone signals involved in plant defense responses. Despite the efficacy of aphid resistance in soybean, virulent aphids have overcome this resistance through mostly unknown mechanisms. Here, we have used metabolomic tools to define the role of plant phytohormones, especially the JA pathway, in regulating interactions between aphid-resistant soybean and virulent aphids. We hypothesized that virulent aphids avoid or suppress the JA pathway to overcome aphid resistance. Our results suggested that aphid-resistant soybean increased accumulation of JA-isoleucine (JA-Ile) only when infested with avirulent aphids; virulent aphids did not cause induction of JA-Ile. Further, applying JA-Ile to aphid-resistant soybean reduced subsequent virulent aphid populations. The concentrations of other phytohormones remained unchanged due to aphid feeding, highlighting the importance of JA-Ile in this interaction. These results increase our knowledge of soybean resistance mechanisms against soybean aphids and contribute to our understanding of aphid virulence mechanisms, which will in turn promote the durability of HPR.
Antibiosis to Metopolophium dirhodum (Homoptera: Aphididae) in Spring Wheat and Emmer Cultivars
Authors: Platková Hana , Skuhrovec Jiří , Saska Pavel 
Published: September 2020

Abstract
Yield losses caused by pests, including aphids, can be substantial in cereals. Breeding for resistance against aphids is therefore desirable for enhancing the economic and environmental sustainability of cereal production. The aim of our study was to reveal the degree of antibiosis against Metopolophium dirhodum (Walker) (Homoptera: Aphididae), in four cultivars of spring wheat, Triticum aestivum L. (‘Alicia’, ‘Odeta’, ‘Libertina’, ‘Astrid’), and two cultivars of emmer, Triticum turgidum ssp. dicoccum (Schrank ex Schübler) Thell. (‘Rudico’, ‘Tapiruz’) (both Poales: Poaceae) under controlled laboratory conditions. Using age-stage, two-sex life table, we quantified responses of M. dirhodum to each cultivar and to project population growth. The spring wheat and emmer cultivars varied in their suitability to M. dirhodum. The cultivar most susceptible to M. dirhodum was the emmer cultivar ‘Rudico’; the projected population size of M. dirhodum on this cultivar was one order of magnitude larger than those on other cultivars. The most resistant cultivar was the spring wheat cultivar ‘Libertina’. Since emmer is commonly used as a gene source for breeding T. aestivum, we advocate that care be taken to avoid the transmission of genes responsible for suitability to aphids from emmer to T. aestivum.
Population Growth and Development of the Khapra Beetle (Coleoptera: Dermestidae), on Different Sorghum Fractions
Authors: Lampiri Evagelia , Athanassiou Christos G , Arthur Frank H 
Published: September 2020

Abstract
A series of tests was performed to examine the development ability of Trogoderma granarium Everts on six different sorghum milling fractions: bran, shorts, coarse grits, fine grits, red dogs, and flour. In the first bioassay, 20 adults and 20 g of each fraction were placed in vials of 60 ml at 30°C and 60% relative humidity for a period of 65 d. In the second part of the experiment, a neonate larva (1-d old) was placed in vials with 1 g of each fraction and exposed at 25, 30, and 32°C until adult emergence. Significantly more live larvae were found in bran compared with flour and to the two grain controls (soft wheat and whole wheat flour), where most dead adults were recorded. The increase in temperature reduced both the time to adult emergence and larval mortality before the appearance of the first adult. Developmental times ranged between 25.5 and 37.5 d, and 23.2 and 29.0 d for 30 and 32°C, respectively. At 25°C, larvae in the milling fractions did not reach 100% adult emergence even after almost 3 mo. However, the first adult appeared in the shorts fraction at all temperatures tested. Our results show that all sorghum milling fractions support the development of T. granarium and that the optimal temperatures for growth and development are 30 and 32°C. These results also have important implications for phytosanitary regulations and international trade, given the quarantine restrictions on this insect.
A CYC/TB1-type TCP transcription factor controls spikelet meristem identity in barley
Authors: Shang Yi , Yuan Lu , Di Zhaocan , Jia Yong , Zhang Zhenlan , Li Sujuan , Xing Liping , Qi Zengjun , Wang Xiaoyun , Zhu Jinghuan , Hua Wei , Wu Xiaojian , Zhu Minqiu , Li Gang , Li Chengdao 
Published: September 2020

AbstractBarley possesses a branchless, spike-shaped inflorescence where determinate spikelets attach directly to the main axis, but the developmental mechanism of spikelet identity remains largely unknown. Here we report the functional analysis of the barley gene BRANCHED AND INDETERMINATE SPIKELET 1 (BDI1), which encodes a TCP transcription factor and plays a crucial role in determining barley inflorescence architecture and spikelet development. The bdi1 mutant exhibited indeterminate spikelet meristems that continued to grow and differentiate after producing a floret meristem; some spikelet meristems at the base of the spike formed two fully developed seeds or converted to branched spikelets, producing a branched inflorescence. Map-based cloning analysis showed that this mutant has a deletion of ~600 kb on chromosome 5H containing three putative genes. Expression analysis and virus-induced gene silencing confirmed that the causative gene, BDI1, encodes a CYC/TB1-type TCP transcription factor and is highly conserved in both wild and cultivated barley. Transcriptome and regulatory network analysis demonstrated that BDI1 may integrate regulation of gene transcription cell wall modification and known trehalose-6-phosphate homeostasis to control spikelet development. Together, our findings reveal that BDI1 represents a key regulator of inflorescence architecture and meristem determinacy in cereal crop plants.
Density-based outlier scoring on Kepler data
Authors: Giles Daniel K , Walkowicz Lucianne 
Published: September 2020

ABSTRACT
In the present era of large-scale surveys, big data present new challenges to the discovery process for anomalous data. Such data can be indicative of systematic errors, extreme (or rare) forms of known phenomena, or most interestingly, truly novel phenomena that exhibit as-of-yet unobserved behaviours. In this work, we present an outlier scoring methodology to identify and characterize the most promising unusual sources to facilitate discoveries of such anomalous data. We have developed a data mining method based on k-nearest neighbour distance in feature space to efficiently identify the most anomalous light curves. We test variations of this method including using principal components of the feature space, removing select features, the effect of the choice of k, and scoring to subset samples. We evaluate the performance of our scoring on known object classes and find that our scoring consistently scores rare (&lt;1000) object classes higher than common classes. We have applied scoring to all long cadence light curves of Quarters 1–17 of Kepler’s prime mission and present outlier scores for all 2.8 million light curves for the roughly 200k objects.
Early galaxy growth: mergers or gravitational instability?
Authors: Zanella A , Pallottini A , Ferrara A , Gallerani S , Carniani S , Kohandel M , Behrens C 
Published: September 2020

ABSTRACT
We investigate the spatially resolved morphology of galaxies in the early Universe. We consider a typical redshift z = 6 Lyman break galaxy, ‘Althæa’, from the SERRA hydrodynamical simulations. We create mock rest-frame ultraviolet (UV), optical, and far-infrared observations, and perform a two-dimensional morphological analysis to deblend the galaxy disc from substructures (merging satellites or star-forming regions). We find that the [C ii]158 μm emitting region has an effective radius 1.5–2.5 times larger than the optical one, consistent with recent observations. This [C ii] halo in our simulated galaxy arises as the joint effect of stellar outflows and carbon photoionization by the galaxy UV field, rather than from the emission of unresolved nearby satellites. At the typical angular resolution of current observations (≳ 0.15 arcsec) only merging satellites can be detected; detection of star-forming regions requires resolutions of ≲ 0.05 arcsec. The [C ii]-detected satellite has a 2.5-kpc projected distance from the galaxy disc, whereas the star-forming regions are embedded in the disc itself (distance ≲ 1 kpc). This suggests that multicomponent systems reported in the literature, which have separations ≳ 2 kpc, are merging satellites, rather than galactic substructures. Finally, the star-forming regions found in our mock maps follow the local L[C ii]–SFRUV relation of galaxy discs, although sampling the low-luminosity, low-SFR tail of the distribution. We show that future James Webb Space Telescope observations, bridging UV and [C ii] data sets, will be exceptionally suited to characterize galaxy substructures, thanks to their exquisite spatial resolution and sensitivity to both low-metallicity and dust-obscured regions that are bright at infrared wavelengths.
Quantitative and time-resolved miRNA pattern of early human T cell activation
Authors: Diener Caroline , Hart Martin , Kehl Tim , Rheinheimer Stefanie , Ludwig Nicole , Krammes Lena , Pawusch Sarah , Lenhof Kerstin , Tänzer Tanja , Schub David , Sester Martina , Walch-Rückheim Barbara , Keller Andreas , Lenhof Hans-Peter , Meese Eckart 
Published: September 2020

AbstractT cells are central to the immune response against various pathogens and cancer cells. Complex networks of transcriptional and post-transcriptional regulators, including microRNAs (miRNAs), coordinate the T cell activation process. Available miRNA datasets, however, do not sufficiently dissolve the dynamic changes of miRNA controlled networks upon T cell activation. Here, we established a quantitative and time-resolved expression pattern for the entire miRNome over a period of 24 h upon human T-cell activation. Based on our time-resolved datasets, we identified central miRNAs and specified common miRNA expression profiles. We found the most prominent quantitative expression changes for miR-155-5p with a range from initially 40 molecules/cell to 1600 molecules/cell upon T-cell activation. We established a comprehensive dynamic regulatory network of both the up- and downstream regulation of miR-155. Upstream, we highlight IRF4 and its complexes with SPI1 and BATF as central for the transcriptional regulation of miR-155. Downstream of miR-155-5p, we verified 17 of its target genes by the time-resolved data recorded after T cell activation. Our data provide comprehensive insights into the range of stimulus induced miRNA abundance changes and lay the ground to identify efficient points of intervention for modifying the T cell response.
Alterations in Functional Connectomics Associated With Neurocognitive Changes Following Glioma Resection
Authors: Noll Kyle R , Chen Henry S , Wefel Jeffrey S , Kumar Vinodh A , Hou Ping , Ferguson Sherise D , Rao Ganesh , Johnson Jason M , Schomer Donald F , Suki Dima , Prabhu Sujit S , Liu Ho-Ling 
Published: September 2020

Abstract

BACKGROUND
Decline in neurocognitive functioning (NCF) often occurs following brain tumor resection. Functional connectomics have shown how neurologic insults disrupt cerebral networks underlying NCF, though studies involving patients with brain tumors are lacking.

OBJECTIVE
To investigate the impact of brain tumor resection upon the connectome and relationships with NCF outcome in the early postoperative period.

METHODS
A total of 15 right-handed adults with left perisylvian glioma underwent resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychological assessment before and after awake tumor resection. Graph theoretical analysis was applied to rs-fMRI connectivity matrices to calculate network properties. Network properties and NCF measures were compared across the pre- to postoperative periods with matched pairs Wilcoxon signed-rank tests. Associations between pre- to postoperative change in network and NCF measures were determined with Spearman rank-order correlations (ρ).

RESULTS
A majority of the sample showed postoperative decline on 1 or more NCF measures. Significant postoperative NCF decline was found across measures of verbal memory, processing speed, executive functioning, receptive language, and a composite index. Regarding connectomic properties, betweenness centrality and assortativity were significantly smaller postoperatively, and reductions in these measures were associated with better NCF outcomes. Significant inverse associations (ρ = −.51 to −.78, all P < .05) were observed between change in language, executive functioning, and learning and memory, and alterations in segregation, centrality, and resilience network properties.

CONCLUSION
Decline in NCF was common shortly following resection of glioma involving eloquent brain regions, most frequently in verbal learning/memory and executive functioning. Better postoperative outcomes accompanied reductions in centrality and resilience connectomic measures.