bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultrasound Fetal Weight Estimation in Diabetic Pregnancies
Authors: Pretscher Jutta , Kehl Sven , Stumpfe Florian M. , Mayr Andreas , Schmid Matthias , Schild Ralf L. , Beckmann Matthias W. , Faschingbauer Florian 
Published: August 2019

ObjectivesTo evaluate different formulas for estimating fetal weight in diabetic pregnancies.MethodsThis retrospective study evaluated the precision of ultrasound fetal weight estimation in 756 pregnancies complicated by gestational diabetes between 2002 and 2016. The estimated fetal weights (EFWs) were obtained within 7 days of delivery from 10 weight estimation formulas and were compared with pair‐wise matched controls from 15,701 patients. The precision of the evaluated formulas for EFW was analyzed by median absolute percentage errors (MAPEs), mean percentage errors (MPEs), and proportions of estimates within 10% of actual birth weight.ResultsAmong the tested formulas, the lowest MAPE was detected with formula I of Hadlock et al (Am J Obstet Gynecol 1985; 151:333–337), and the formula of Schild et al (Ultrasound Obstet Gynecol 2004; 23:30–35) had the highest proportion of estimates within the 10% range. The EFW in diabetic patients showed a slight trend toward overestimation in comparison with the matched controls (MPE estimates showed a trend toward more positive values). In most of the EFW formulas that were evaluated, no significant differences were detected in MAPEs and estimates within the 10% range. The MPE estimates with most formulas in both groups were close to zero. Overall, the differences between most of the evaluated formulas were small.ConclusionsLittle evidence was found for differences in the accuracy of the EFW in diabetic pregnancies and controls. The Hadlock I formula showed the lowest MAPE, and the Schild formula had the highest proportion of estimates within the 10% range.
Utilization of legume flours in wafer sheets
Authors: Tufan Busra , Sahin Serpil , Sumnu Gulum 
Published: August 2019

AbstractIn this study, it was aimed to analyze the impacts of replacement of 20% of wheat flour by lentil, chickpea, or bean flours on batter rheology as well as hardness, weight loss, sorption characteristics, and color of the wafer sheets. All formulations showed shear thinning behavior obeying power law. Lentil flour‐containing formula gave the highest flow behavior index and the lowest consistency coefficient value. Hardness of wafer sheets increased when legume flours were used. Increase in hardness value was less when chickpea flour was used as compared with the other legume flours. It was observed that upon baking, legume flour‐added samples had lower weight loss values. Usage of chickpea flour resulted in the lowest weight loss. Sorption results implied localized sorption indicating multilayer water molecules showing similar properties to liquid water. Wafers containing legume flours were not significantly different than the control wafer in terms of monolayer moisture content, K and C values of Gugenheim, Anderson and de Boer (GAB) model. The color of chickpea flour‐containing wafer was the closest to that of control sample. Overall, wafer sheets prepared by replacement of 20% wheat flour by chickpea flour was agreed to be the best in terms of the analyzed parameters.
Genetic variants in glutamine metabolic pathway genes predict cutaneous melanoma‐specific survival
Authors: Chen Ka , Liu Hongliang , Liu Zhensheng , Bloomer Wendy , Amos Christopher I. , Lee Jeffrey E. , Li Xin , Nan Hongmei , Wei Qingyi 
Published: August 2019

AbstractGlutamine dependence is a unique metabolic defect seen in cutaneous melanoma (CM), directly influencing the treatment and prognosis. Here, we investigated the associations between 6025 common single‐nucleotide polymorphisms (SNPs) in 77 glutamine metabolic pathway genes with CM‐specific survival (CMSS) using genotyping datasets from two published genome‐wide association studies (GWASs). In the single‐locus analysis, 76 SNPs were found to be significantly associated with CMSS (P < .050, false‐positive report probability < 0.2 and Bayesian false discovery probability < 0.8) in the discovery dataset, of which seven SNPs were replicated in the validation dataset and three SNPs (HAL rs17676826T > C, LGSN rs12663017T > A, and NOXRED1 rs8012548A > G) independently predicted CMSS, with an effect‐allele attributed adjusted hazards ratio of 1.52 (95% confidence interval = 1.19‐1.93) and P < .001, 0.68 (0.54‐0.87) and P = .002 and 0.62 (0.46‐0.83) and P = .002, respectively. The model including the number of unfavorable genotypes (NUGs) of these three SNPs and covariates improved the five‐year CMSS prediction (P = .012) than the one with other covariates only. Further expression quantitative trait loci (eQTL) analysis found that the LGSN rs12663017 A allele was significantly associated with increased messenger RNA (mRNA) expression levels (P = 8.89 × 10
−11) in lymphoblastoid cell lines of the 1000 Genomes Project database. In the analysis of the genotype tissue expression (GTEx) project datasets, HAL rs17676826 C and NOXRED1 rs8012548 G alleles were significantly associated with their mRNA expression levels in sun‐exposed skin of the lower leg (P = 6.62 × 10−6 and 1.37 × 10−7, respectively) and in sun‐not‐exposed suprapubic skin (P < .001 and 1.43 × 10−8, respectively). Taken together, these genetic variants of glutamine‐metabolic pathway genes may be promising predictors of survival in patients with CM.
Modeling and Mapping to Assess Spatial Distributions and Population Numbers of Fish and Invertebrate Species in the Lower Peace River and Charlotte Harbor, Florida
Authors: Rubec Peter J. , Santi Christi , Ghile Yonas , Chen Xinjian 
Published: August 2019

Abstract
Catch per unit effort (CPUE) was computed from fisheries-independent monitoring data collected from 1996 through 2013 in the lower Peace River and Charlotte Harbor, Florida. Seasonal habitat suitability modeling (HSM) based on delta-gamma generalized additive models was prepared for eight fish and invertebrate species life stages with affinities for either low or moderate salinities. Using a geographic information system, habitat maps were created from monitoring data for temperature, salinity, dissolved oxygen, depth, and bottom type in the study area. Gear-corrected CPUEs derived from HSM were applied to corresponding habitat grid cells. Seasonal HSM maps were then created, depicting the spatial distribution and relative abundance for early juvenile, juvenile, and adult life stages. By overlaying Optimum abundance zones from each HSM map onto corresponding salinity grids, the preferred ranges of salinity were found to be similar between seasons for each of six estuarine-resident species life stages. This implies that each resident species occupies a unique salinity range in the river and estuary, which varies little between seasons. During the summer wet season, the geographic ranges occupied by each resident species life stage expanded in response to increased inflow, while the preferred salinity ranges occupied were similar between seasons. However, this was not the case for the two estuarine-transient species (Red Drum Sciaenops ocellatus and Spot Leiostomus xanthurus), which tended to utilize different salinity ranges between seasons. Habitat-based population estimates were prepared for each species life stage by using the predicted CPUE grids used to create the HSM maps. The demonstrated methods support ecosystem-based fishery management and management of freshwater inflow to tidal rivers.
Hyperpolarized 13C magnetic resonance spectroscopy detects toxin‐induced neuroinflammation in mice
Authors: Le Page Lydia M. , Guglielmetti Caroline , Najac Chloé F. , Tiret Brice , Chaumeil Myriam M. 
Published: August 2019

Lipopolysaccharide (LPS) is a commonly used agent for induction of neuroinflammation in preclinical studies. Upon injection, LPS causes activation of microglia and astrocytes, whose metabolism alters to favor glycolysis. Assessing in vivo neuroinflammation and its modulation following therapy remains challenging, and new noninvasive methods allowing for longitudinal monitoring would be highly valuable. Hyperpolarized (HP) 13C magnetic resonance spectroscopy (MRS) is a promising technique for assessing in vivo metabolism. In addition to applications in oncology, the most commonly used probe of [1–13C] pyruvate has shown potential in assessing neuroinflammation‐linked metabolism in mouse models of multiple sclerosis and traumatic brain injury. Here, we aimed to investigate LPS‐induced neuroinflammatory changes using HP [1–13C] pyruvate and HP 13C urea.2D chemical shift imaging following simultaneous intravenous injection of HP [1–13C] pyruvate and HP 13C urea was performed at baseline (day 0) and at days 3 and 7 post‐intracranial injection of LPS (n = 6) or saline (n = 5). Immunofluorescence (IF) analyses were performed for Iba1 (resting and activated microglia/macrophages), GFAP (resting and reactive astrocytes) and CD68 (activated microglia/macrophages).A significant increase in HP [1–13C] lactate production was observed at days 3 and 7 following injection, in the injected (ipsilateral) side of the LPS‐treated mouse brain, but not in either the contralateral side or saline‐injected animals. HP 13C lactate/pyruvate ratio, without and with normalization to urea, was also significantly increased in the ipsilateral LPS‐injected brain at 7 days compared with baseline. IF analyses showed a significant increase in CD68 and GFAP staining at 3 days, followed by increased numbers of Iba1 and GFAP positive cells at 7 days post‐LPS injection.In conclusion, we can detect LPS‐induced changes in the mouse brain using HP 13C MRS, in alignment with increased numbers of microglia/macrophages and astrocytes. This study demonstrates that HP 13C spectroscopy has substantial potential for providing noninvasive information on neuroinflammation.
An Iron Age skull with a bone neoplasm from Nilka County, Xinjiang, China
Authors: Zhang Quanchao , Zhang Qun , Han Tao , Zhu Hong , Wang Qian 
Published: August 2019

AbstractWith the exception of benign button osteomas, neoplasms in the skull are uncommon, and their consequences to the health of the general population are difficult to assess. In this study, we report a case of bone neoplasm arising in the temporal bone from a young male individual excavated from an Iron Age Qiongkeke Cemetery located in Nilka County, Yili, Xinjiang, China. The lesion presented as a cluster of ossified spicules in the infratemporal fossa. The possible diagnosis is a low‐grade malignant neoplasm, probably parosteal osteosarcoma, whereas some other kinds of neoplasms are possible though less likely. There were no signs of cortical bone destruction or periosteal reaction, indicating the differential diagnosis with conventional osteosarcoma and other exophytic cranial bone neoplasms. This focal space occupying lesion may have started from early childhood and slowly grew laterally, inducing musculoskeletal deformation at the left side and long‐term left tilting of the head. This rare case of skull bone neoplasm enriches our knowledge base of paleopathology in the ancient people of Northern China while also demonstrating long‐term skeletal adaptation to a slow‐growing neoplasm in the skull.
The nature and impact of poor emotional wellbeing in people with diabetes
Authors: Keen Andrew JA 
Published: August 2019

AbstractDepression, anxiety and distress are more common in people with diabetes than the general population. The nature of the associated symptoms means that self‐managing demanding conditions like types 1 and 2 diabetes becomes increasingly challenging. The correlation between depression, anxiety and diabetes distress with HbA1c is modest. Therefore, it is unsurprising that treatments designed for the general population improve emotional wellbeing in people with diabetes but do not result in improved glycaemic control. Innovative treatments are required that combine effective brief interventions for common mental health conditions with psychological approaches proven to improve glycaemic control. Copyright © 2019 John Wiley & Sons. Practical Diabetes 2019; 36 (4): 132–135
Classical and Bayesian inference ofCpyfor generalized Lindley distributed quality characteristic
Authors: Saha Mahendra , Dey Sanku , Yadav Abhimanyu Singh , Kumar Sumit 
Published: August 2019

AbstractThe process capability index (PCI) is a quality control–related statistic mostly used in the manufacturing industry, which is used to assess the capability of some monitored process. It is of great significance to quality control engineers as it quantifies the relation between the actual performance of the process and the preset specifications of the product. Most of the traditional PCIs performed well when process follows the normal behaviour. However, using these traditional indices to evaluate a non‐normally distributed process often leads to inaccurate results. In this article, we consider a new PCI,Cpy, suggested by Maiti et al, which can be used for normal as well as non‐normal random variables. This article addresses the different methods of estimation of the PCICpyfrom both frequentist and Bayesian view points of generalized Lindley distribution suggested by Nadarajah et al. We briefly describe different frequentist approaches, namely, maximum likelihood estimators, least square and weighted least square estimators, and maximum product of spacings estimators. Next, we consider Bayes estimation under squared error loss function using gamma priors for both shape and scale parameters for the considered model. We use Tierney and Kadane's method as well as Markov Chain Monte Carlo procedure to compute approximate Bayes estimates. Besides, two parametric bootstrap confidence intervals using frequentist approaches are provided to compare with highest posterior density credible intervals. Furthermore, Monte Carlo simulation study has been carried out to compare the performances of the classical and the Bayes estimates ofCpyin terms of mean squared errors along with the average width and coverage probabilities. Finally, two real data sets have been analysed for illustrative purposes.
Variable sampling interval exponentially weighted moving average median chart with estimated process parameters
Authors: Khoo Michael B.C. , Saha Sajal , Lee How Chinh , Castagliola Philippe 
Published: August 2019

AbstractThe variable sampling interval exponentially weighted moving average median chart with estimated process parameters is proposed. The charting statistic, optimal design, performance evaluation, and implementation of the proposed chart are discussed. The average of the average time to signal (AATS) criterion is adopted to evaluate the performance of the proposed chart. The estimated process parameter‐based VSI EWMA median (VSI EWMA median‐e) chart is compared with the estimated process parameter‐based Shewhart median (SH median‐e), EWMA median (EWMA median‐e), and variable sampling interval run sum median (VSI RS median‐e) charts, in terms of the AATS criterion, where the VSI EWMA median‐e chart is shown to be superior. When process parameters are estimated, the standard deviation of the average time to signal (SDATS) criterion is used to evaluate the AATS performance of the VSI EWMA median‐e chart. Based on the SDATS criterion, the minimum number of phase‐I samples required by the VSI EWMA median‐e chart so that its performance is close to the known process parameters VSI EWMA median chart is recommended.
Rewriting the Wor(l)d: Quick Writes as a Space for Critical Literacy
Authors: Driessens Sarah , Parr Michelann 
Published: August 2019

AbstractThe authors expand discussions about critical literacy with a focus on how quick writes can be used to facilitate critical literacy within the context of both teaching and learning. Quick writes, initiated by carefully crafted invitations, are presented as a low‐risk space for students to address issues of social justice and civil rights. Writing artifacts of five students, gathered in the context of a six‐month classroom inquiry, are considered through a lens of critical literacy and provide authentic representations of student learning. Practical suggestions are offered to help teachers support students as they become critically literate, specifically through the practices of carefully crafted invitations to write and student quick writes.
Finding chemical concepts in the Hilbert space: Coupled cluster analyses of noncovalent interactions
Authors: Bistoni Giovanni 
Published: August 2019

AbstractNoncovalent interactions (NCIs) play a major role in essentially all fields of chemical research. Energy decomposition analysis (EDA) schemes provide in‐depth insights into their nature by decomposing interaction energies into additive contributions, such as electrostatics, polarization, and London dispersion. Although modern local variants of the “gold standard” coupled‐cluster singles and doubles method plus perturbative triples (CCSD(T)) have made it possible to accurately quantify NCIs for relatively large systems, extracting chemically meaningful energy terms from such high level electronic structure calculations has been a long lasting challenge in computational chemistry. This review describes basic principles, interpretative aspects and applications of recently developed coupled cluster‐based EDAs for the analysis of NCIs. The focus is on computationally efficient methods for systems with a few hundred atoms, for example, the recently introduced local energy decomposition analysis. In order to draw connections between different interpretative frameworks, these schemes are compared with other popular approaches for the quantification and analysis of NCIs, such as Symmetry Adapted Perturbation Theory and supermolecular EDAs based on mean‐field as well as correlated approaches. Strengths and limitations of the various techniques are discussed.This article is characterized under:

Electronic Structure Theory > Ab Initio Electronic Structure Methods
Structure and Mechanism > Molecular Structures
Linked Data in the European Data Portal: A Comprehensive Platform for Applying DCAT-AP
Authors: Kirstein Fabian , Dittwald Benjamin , Dutkowski Simon , Glikman Yury , Schimmler Sonja , Hauswirth Manfred 
Published: August 2019

Abstract
The European Data Portal (EDP) is a central access point for metadata of Open Data published by public authorities in Europe and acquires data from more than 70 national data providers. The platform is a starting point in adopting the Linked Data specification DCAT-AP, aiming to increase interoperability and accessibility of Open Data. In this paper, we present the design of the central data management components of the platform, responsible for metadata storage, data harvesting and quality assessment. The core component is based on CKAN, which is extended by the support for native Linked Data replication to a triplestore to ensure legacy compatibility and the support for DCAT-AP. Regular data harvesting and the creation of detailed quality reports are performed by custom components adressing the requirements of DCAT-AP. The EDP is well on track to become the core platform for European Open Data and fostered the acceptance of DCAT-AP. Our platform is available here: https://www.europeandataportal.eu.
Does the symmetry of absolute permeability influence relative permeability tensors in naturally fractured rocks?
Authors: Sedaghat Mohammad , Azizmohammadi Siroos , Matthäi Stephan K. 
Published: August 2019

AbstractRelative permeability is a tensorial property directly dependent on absolute permeability tensor which has been taking both symmetric and non-symmetric (full tensor) forms in the literature. Imposing symmetricity during upscaling absolute and effective phase permeabilities could alter both diagonal and off-diagonal terms of relative permeability tensors, specifically in naturally fractured reservoirs (NFRs) where the diagonal components of the permeability tensor could take values with different orders of magnitude. Utilizing a discrete fracture and matrix (DFM) modelling approach, in this paper, we quantify the effects of forcing the symmetricity on absolute permeability tensors on relative permeability tensors of fractured samples in different scales. We also determine the circumstances at which this change in methodology causes a huge difference in the diagonal components of relative permeability tensors.
Seasonal Hay Feeding for Cattle Production in the Fescue Belt
Authors: Boyer Christopher N. , Lambert Dayton M. , Griffith Andrew P. , Clark Christopher D. , English Burton 
Published: August 2019

AbstractWe determined how pasture and grazing management practices affected the number of days hay was fed to cattle by season. Data were collected from a survey of Tennessee cattle producers. Days of cattle on hay varied across seasons because of variations in forage production and weather. The number of days hay was fed to cattle varied with pasture-animal management practices such as rotating pastures, forage mixtures, and weed management strategies. Having mixtures of cool- and warm-season grasses reduced the number of days on hay in the winter, spring, and summer months indicating benefits from diversified forages.
EU Counter-terrorism Law: What Kind of Exemplar of Transnational Law?
Authors: MURPHY Cian C. 
Published: August 2019

AbstractThis article examines counter-terrorism efforts in the EU as it matures as a field of law. It sets out three critiques of EU counter-terrorism law: that of ineffectiveness, of anti-constitutionalism, and of contrariness to human rights and the rule of law. It considers these critiques in light of the development of policies and legal initiatives—against foreign terrorist fighters and against radicalisation. It concludes that there are both persistent problems, and some improvements, in the law. The EU's capacity to meet the challenges posed by terrorism and the counter-terrorism imperative, and how it does so, has global impact. The article concludes with an argument for better law-making in the EU to ensure it serves as a better exemplar of transnational law.
Impact of an automated antibiotic time-out alert on the de-escalation of broad-spectrum antibiotics at a large community teaching hospital
Authors: Wolfe Jenna R. , Bryant Alex M. , Khoury Jad A. 
Published: August 2019

AbstractBroad-spectrum antibiotic de-escalation before and after implementation of a 72-hour antibiotic time-out alert within the electronic medical record was analyzed. De-escalation occurred significantly more often after the implementation of the alert (55.0% vs 35.1%; 95% confidence interval, −0.3491 to −0.0488; P < .01).
Paediatric hearing loss: a community-based survey in peri-urban Kumasi, Ghana
Authors: Larsen-Reindorf R , Otupiri E , Anomah J E , Edwards B M , Frimpong B , Waller B , Prince M E , Basura G J 
Published: August 2019

AbstractBackgroundPaediatric hearing loss rates in Ghana are currently unknown.MethodsA cross-sectional study was conducted in peri-urban Kumasi, Ghana; children (aged 3–15 years) were recruited from randomly selected households. Selected children underwent otoscopic examination prior to in-community pure tone screening using the portable ShoeBox audiometer. The LittlEars auditory questionnaire was also administered to caregivers and parents.ResultsData were collected from 387 children. After conditioning, 362 children were screened using monaural pure tones presented at 25 dB. Twenty-five children could not be conditioned to behavioural audiometric screening. Eight children were referred based on audiometric screening results. Of those, four were identified as having hearing loss. Four children scored less than the maximum mark of 35 on the LittleEars questionnaire. Of those, three had hearing loss as identified through pure tone screening. The predominant physical finding on otoscopy was ear canal cerumen impaction.ConclusionPaediatric hearing loss is prevalent in Ghana, and should be treated as a public health problem warranting further evaluation and epidemiology characterisation.