bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of physicochemical properties of bottom sediments on nitrogen and phosphorus sorption
Authors: Junakova N , Junak J , Balintova M 
Published: October 2022

Abstract
River and reservoir bottom sediments are characterized by their physical and chemical properties, which affect the quality of water and deposited sediments in reservoirs. The grain composition of sediments is their fundamental property that determines the detachment, transport and sedimentation of sediments. In addition to understanding the dynamics of transport and distribution of particles in the watershed, the granularity is closely related to the mineral and chemical composition of the sediment and plays an important role in terms of its ability to bind contaminants. Other important property of sediment includes the specific surface area, which determines the nature of sediment surface reactions and influences ecosystem level, biological processes.
This study investigates sediment properties, including physical properties such as grain-size distribution, specific surface area, organic matter and chemical composition, and their reflections on nitrogen and phosphorus adsorption by the sediments deposited in the small water reservoir. The results clearly indicate the dependence of the content of nutrients (nitrogen and phosphorus) in reservoir sediments on their grain size and specific surface area.
Local loading of sandwich panels - assessment according to standards and experimental verification
Authors: Magura M , Brodniansky J 
Published: October 2022

Abstract
The aim of the presented paper is to show possible approaches to the design and verification of the connection of elements to sandwich panels. Rivets or rivet nuts were used. Eurocodes STN EN 1991-1 and 1993-1-8 were used for numerical design. To verify the accuracy of numerical outputs, the samples were verified by a laboratory experiment, and the results were compared.
Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field
Authors: Wang Wenya , Zhang Li , Sun Jianqiang , Zhao Qi , Shuai Jianwei 
Published: October 2022

Abstract
Long non-coding RNA (lncRNA) and microRNA (miRNA) are two typical types of non-coding RNAs (ncRNAs), their interaction plays an important regulatory role in many biological processes. Exploring the interactions between unknown lncRNA and miRNA can help us better understand the functional expression between lncRNA and miRNA. At present, the interactions between lncRNA and miRNA are mainly obtained through biological experiments, but such experiments are often time-consuming and labor-intensive, it is necessary to design a computational method that can predict the interactions between lncRNA and miRNA. In this paper, we propose a method based on graph convolutional neural (GCN) network and conditional random field (CRF) for predicting human lncRNA–miRNA interactions, named GCNCRF. First, we construct a heterogeneous network using the known interactions of lncRNA and miRNA in the LncRNASNP2 database, the lncRNA/miRNA integration similarity network, and the lncRNA/miRNA feature matrix. Second, the initial embedding of nodes is obtained using a GCN network. A CRF set in the GCN hidden layer can update the obtained preliminary embeddings so that similar nodes have similar embeddings. At the same time, an attention mechanism is added to the CRF layer to reassign weights to nodes to better grasp the feature information of important nodes and ignore some nodes with less influence. Finally, the final embedding is decoded and scored through the decoding layer. Through a 5-fold cross-validation experiment, GCNCRF has an area under the receiver operating characteristic curve value of 0.947 on the main dataset, which has higher prediction accuracy than the other six state-of-the-art methods.
Common data model for COVID-19 datasets
Authors: Wegner Philipp , Jose Geena Mariya , Lage-Rupprecht Vanessa , Golriz Khatami Sepehr , Zhang Bide , Springstubbe Stephan , Jacobs Marc , Linden Thomas , Ku Cindy , Schultz Bruce , Hofmann-Apitius Martin , Kodamullil Alpha Tom ,   for the COPERIMOplus Consortium
Published: October 2022

Abstract

Motivation
A global medical crisis like the coronavirus disease 2019 (COVID-19) pandemic requires interdisciplinary and highly collaborative research from all over the world. One of the key challenges for collaborative research is a lack of interoperability among various heterogeneous data sources. Interoperability, standardization and mapping of datasets are necessary for data analysis and applications in advanced algorithms such as developing personalized risk prediction modeling.

Results
To ensure the interoperability and compatibility among COVID-19 datasets, we present here a common data model (CDM) which has been built from 11 different COVID-19 datasets from various geographical locations. The current version of the CDM holds 4639 data variables related to COVID-19 such as basic patient information (age, biological sex and diagnosis) as well as disease-specific data variables, for example, Anosmia and Dyspnea. Each of the data variables in the data model is associated with specific data types, variable mappings, value ranges, data units and data encodings that could be used for standardizing any dataset. Moreover, the compatibility with established data standards like OMOP and FHIR makes the CDM a well-designed CDM for COVID-19 data interoperability.

Availability and implementation
The CDM is available in a public repo here: https://github.com/Fraunhofer-SCAI-Applied-Semantics/COVID-19-Global-Model.

Supplementary information
Supplementary data are available at Bioinformatics online.
Ground Validation Reveals Limited Applicability of Species Distribution Models for Dakota Skipper (Hesperia dacotae, Lepidoptera: Hesperiidae) Recovery Efforts in Canada
Authors: Dearborn Katherine D , Murray Colin , Westwood Richard 
Published: October 2022

Abstract
Species distribution models (SDMs) use spatial relationships between species occurrence and habitat (predictor) variables to generate maps of habitat suitability across a region of interest. These maps are frequently used in recovery planning efforts for endangered species, but they are influenced by data availability, selection of predictor variables, and choice of model type. Ground validation is necessary to robustly evaluate map accuracy, but it is rarely done, making it difficult to determine which modeling approach is best-suited for a given species or region. To address this uncertainty, we used two SDM types (Maxent and GLM) and two methods of selecting predictor variables to build four SDMs for an endangered prairie butterfly (Dakota skipper, Hesperia dacotae) in two regions of Manitoba, Canada. We then conducted field-based habitat suitability assessments at 120 locations in each region to enable direct comparisons of model output and accuracy. We found that soil type and surrounding landcover (grassland versus cropland) were important predictors of species occurrence regardless of region, predictor selection method, or model type. Cross-validation statistics indicated that most SDMs performed well (AUC &gt; 0.7), but ground validation revealed that the habitat suitability maps they generated were inaccurate (Cohen’s kappa &lt; 0.4). Maxent models produced more accurate maps than GLMs, likely because false species absences adversely affected the latter, but only one Maxent-based map was accurate enough to help locate sites for future field investigations (Cohen’s kappa &gt; 0.3). Our results emphasize the importance of ground-validating SDM-based habitat suitability maps before incorporating them into species recovery plans.
The impact of informal caregivers’ preparedness on short-term outcomes of heart failure patients with insufficient self-care
Authors: Cheng Ming , Zhu Chenya , Ge Yingying , Ke Yufei , Shi Yixing , Su Yue , Ma Tianyu , Chi Meixuan , Wang Naijuan , Lu Bingqing , Hou Yunying 
Published: October 2022

Abstract

Aims
Even though self-care is essential in the long-term management of heart failure (HF), it is often not performed adequately in HF populations. Mobilizing informal caregivers may be one way to help patients perform self-care, support individual needs, and maintain health. However, informal caregivers often face insufficient preparation for providing long-term care. This insufficient caregiver preparedness may lead to a decline in caregiver contributions and affect the outcomes of care in patients with HF. This study aimed to explore whether informal caregivers’ preparedness is a predictor that influences short-term outcomes of HF patients; to analyse whether caregiver contribution to self-care of HF (CC-SCHF) plays a mediating role between informal caregivers’ preparedness and HF short-term outcomes.

Methods and results
A prospective observational study was conducted in China. After controlling for covariates, higher levels of informal caregivers’ preparedness were significantly associated with lower 3-month mortality [odds ratio (OR) = 0.919, 95% confidence interval (CI) = (0.855–0.988), P = 0.022] and 3-month readmission rate [OR = 0.883, 95% CI = (0.811–0.961), P = 0.004] and shorter length of hospital stay (β = −0.071, P &lt; 0.001). The informal caregiver’s preparedness was positively associated with CC-SCHF maintenance (r = 0.708, P &lt; 0.01), CC-SCHF management (r = 0.431, P &lt; 0.01), and CC-SCHF confidence (r = 0.671, P &lt; 0.01). The CC-SCHF management was a mediator in the relationship between informal caregivers’ preparedness and 3-month readmission rate [effect 95% CI = (−0.054 to −0.001)] and length of hospital stay [effect 95% CI = (−0.235 to −0.042)].

Conclusion
A higher level of informal caregivers’ preparedness is associated with better short-term outcomes of HF patients with insufficient self-care.
Catheter ablation improves cardiovascular outcomes in patients with atrial fibrillation and heart failure: a meta-analysis of randomized controlled trials
Authors: Simader Florentina A , Howard James P , Ahmad Yousif , Saleh Keenan , Naraen Akriti , Samways Jack W , Mohal Jagdeep , Reddy Rohin K , Kaza Nandita , Keene Daniel , Shun-Shin Matthew J , Francis Darrel P , Whinnett Zachary I , Arnold Ahran D 
Published: October 2022

AbstractAimsThe effect of atrial fibrillation catheter ablation on cardiovascular outcomes in heart failure is an important outstanding research question. We undertook a meta-analysis of randomized controlled trials comparing ablation to medical therapy in patients with AF and heart failure.Methods and resultsWe systematically identified all trials comparing catheter ablation to medical therapy in patients with heart failure and atrial fibrillation. The pre-specified primary endpoint was all-cause mortality in trials with at least 2 years of follow-up. The secondary endpoint was heart failure hospitalization. Sensitivity analyses were performed for trials with any follow-up and trials deemed at low risk of bias. Eight trials (1390 patients) were included. Seven hundred and seven patients were randomized to catheter ablation and 683 to medical therapy. In the primary analysis (three trials, n = 977), catheter ablation reduced mortality compared with medical therapy [relative risk (RR): 0.61, 95% confidence interval (CI): 0.44 to 0.84, P = 0.003]. Catheter ablation also reduced heart failure hospitalizations compared with medical therapy (RR: 0.60, 95% CI: 0.49–0.74, P &lt; 0.001). The effect on stroke was not statistically significant (RR: 0.62, 95% CI: 0.28–1.37, P = 0.237). There was low heterogeneity between studies. Sensitivity analyses were consistent with the primary analyses.ConclusionIn patients with atrial fibrillation and heart failure, catheter ablation reduces mortality and the occurrence of heart failure hospitalizations.
AGO1 and HSP90 buffer different genetic variants in Arabidopsis thaliana
Authors: Lemus Tzitziki , Mason Grace Alex , Bubb Kerry L , Alexandre Cristina M , Queitsch Christine , Cuperus Josh T 
Published: October 2022

Abstract
Argonaute 1 (AGO1), the principal protein component of microRNA-mediated regulation, plays a key role in plant growth and development. AGO1 physically interacts with the chaperone HSP90, which buffers cryptic genetic variation in plants and animals. We sought to determine whether genetic perturbation of AGO1 in Arabidopsis thaliana would also reveal cryptic genetic variation, and if so, whether AGO1-dependent loci overlap with those dependent on HSP90. To address these questions, we introgressed a hypomorphic mutant allele of AGO1 into a set of mapping lines derived from the commonly used Arabidopsis strains Col-0 and Ler. Although we identified several cases in which AGO1 buffered genetic variation, none of the AGO1-dependent loci overlapped with those buffered by HSP90 for the traits assayed. We focused on 1 buffered locus where AGO1 perturbation uncoupled the traits days to flowering and rosette leaf number, which are otherwise closely correlated. Using a bulk segregant approach, we identified a nonfunctional Ler hua2 mutant allele as the causal AGO1-buffered polymorphism. Introduction of a nonfunctional hua2 allele into a Col-0 ago1 mutant background recapitulated the Ler-dependent ago1 phenotype, implying that coupling of these traits involves different molecular players in these closely related strains. Taken together, our findings demonstrate that even though AGO1 and HSP90 buffer genetic variation in the same traits, these robustness regulators interact epistatically with different genetic loci, suggesting that higher-order epistasis is uncommon.
Plain Language Summary
Argonaute 1 (AGO1), a key player in plant development, interacts with the chaperone HSP90, which buffers environmental and genetic variation. We found that AGO1 buffers environmental and genetic variation in the same traits; however, AGO1-dependent and HSP90-dependent loci do not overlap. Detailed analysis of a buffered locus found that a nonfunctional HUA2 allele decouples days to flowering and rosette leaf number in an AGO1-dependent manner, suggesting that the AGO1-dependent buffering acts at the network level.
Unsettling the fluidity of practice and dealing with threat: the experiences of paediatric pharmacists in response to the admission of adult COVID-19 patients requiring intensive care in a paediatric tertiary hospital
Authors: Carter Bernie 
Published: October 2022

AbstractObjectivesThe COVID-19 pandemic impacted the lives of pharmacists, resulting in new ways of working. Little literature focuses on the experiences and well-being of hospital pharmacists, particularly on paediatric pharmacists. The setting – a paediatric stand-alone tertiary hospital – opened to adult ICU COVID-19 patients for two time periods. Paediatric pharmacists had to shift their roles; this impacted their well-being. Paediatric ICU clinical psychologists provided support using a compassion-focused therapy (CFT) model to guide thinking, reflection and promoting behaviour change. This study aimed to explore the experiences and perceptions of the paediatric pharmacists working in a paediatric stand-alone tertiary hospital before, during and after the admission of adult COVID-19 patients into ICU and their experiences of support offered by clinical psychologists.MethodsA qualitative interpretative design using remote photo-elicitation interviews was adopted. Data analysis was undertaken using the six stages of reflexive thematic analysis.Key findingsFive paediatric pharmacists participated; four deployed to work in the A-ICU (from PICU) and one deployed to work in the PICU (from ward-based work). An overarching theme, ‘Unsettling the fluidity of practice and dealing with threat’, is supported by four key themes ‘Context and preparation’, ‘Dread and challenges’, ‘Keeping it together’ and ‘Lessons learned’. The fluidity of the pharmacists’ practice was unsettled as they dealt with the threats and sought resources (drive) to enable optimal care delivery. Soothe techniques helped compensate for threats, and promote resilience and well-being.ConclusionThe CFT model has been useful in the longer term with the adoption of a more open, compassionate approach to their work and colleagues.
A Chinese Precursor to the Digital Sovereignty Debate: Digital Anti-Colonialism and Authoritarianism from the Post–Cold War Era to the Tunis Agenda
Authors: Cong Wanshu , Thumfart Johannes 
Published: October 2022

AbstractGovernments all over the world are constructing discourses of digital sovereignty. However, the history of this concept is understudied. This paper delves into the Chinese academic publications from 1994 to 2005, where concepts such as “network/cyber sovereignty” (网络主权) and “information sovereignty” (信息主权) began to emerge. The period is marked by the introduction of the internet in China in 1994 and the 2005 Tunis Agenda, a pivotal moment in the internationalization of demands for sovereignty over the internet. By reconstructing the post–Cold War geopolitical, economic, cultural, ideological, and regulatory context of the examined publications, we highlight the academic discourse as forming part of a sociotechnical imaginary of digital sovereignty, which is characterized by a peculiar mixture of the explicit critique of “cyber colonialism” (网络殖民主义), authoritarian positions, and the embrace of digitalization and its possibilities.
Environmental impacts of eco-nutrition swine feeding programs in spatially explicit geographic regions of the United States
Authors: Shurson Gerald C , Pelton Rylie E O , Yang Zhaohui , Urriola Pedro E , Schmitt Jennifer 
Published: October 2022

Abstract
This study was conducted to determine greenhouse gas (GHG) emissions, water consumption, land use, as well as nitrogen (N), phosphorus (P), and carbon (C) balance of five diet formulation strategies and feeding programs for growing-finishing pigs (25–130 kg body weight) in the three spatially explicit geographic regions where the majority of U.S. pork production occurs. Feeding programs evaluated consisted of 1) standard corn-soybean meal (CSBM) diets, 2) CSBM containing 15% corn distillers dried grains with solubles (DDGS), 3) CSBM with 8.6% thermally processed supermarket food waste (FW), 4) low crude protein CSBM diets supplemented with synthetic amino acids (SAA), and 5) CSBM with phytase enzyme (PHY) added at 600 FTU (phytase units)/kg of diet. An attributional Life Cycle Assessment approach using a highly specialized, spatially explicit Food System Supply-Chain Sustainability (FoodS3) model was used to quantify GHG emissions, water consumption, and land use of corn, soybean meal, and DDGS based on county level sourcing. The DDGS, FW, and SAA feeding programs had less estimated N and P intake and excretion than CSBM, and the PHY feeding program provided the greatest reduction in P excretion. The FW feeding program had the least overall GHG emissions (319.9 vs. 324.6 to 354.1 kg CO2 equiv./market hog), land use (331.5 vs. 346.5 to 385.2 m2/market hog), and water consumption (7.64 vs. 7.70 to 8.30 m3/market hog) among the alternatives. The DDGS feeding program had the greatest GHG emissions (354.1 kg CO2 equiv./market hog) among all programs but had less impacts on water consumption (7.70 m3) and land use (346.5 m2) per market hog than CSBM and PHY. The SAA feeding program provided a 6.5–7.4% reduction in land use impacts compared with CSBM and PHY, respectively. Regardless of feeding program, the Midwest had the least contributions to GHG emissions and land use attributed to feed and manure among regions. Water consumption per market hog associated with feeding programs was much greater in the Southwest (59.66–63.58 m3) than in the Midwest (4.45–4.88 m3) and Mid-Atlantic (1.85–2.14 m3) regions. Results show that diet composition and U.S. geographic region significantly affect GHG emissions, water consumption, and land use of pork production systems, and the potential use of thermally processed supermarket food waste at relatively low diet inclusion rates (&lt;10%) can reduce environmental impacts compared with other common feeding strategies.
Human Metapneumovirus-Associated Hospitalization in HIV-1 Exposed Uninfected and HIV-1 Uninfected Children Less Than 5 Years in South Africa
Authors: Ramocha Lesego M , Dorfman Jeffrey R , Groome Michelle , Baillie Vicky , Verwey Charl , Laubscher Marius , Nunes Marta C , Madhi Shabir A 
Published: October 2022

Abstract
Using hospital surveillance data, we estimated Human metapneumovirus (hMPV) hospitalization incidence by age and HIV-exposure status. hMPV-associated hospitalization incidence was highest in &lt;1-year children. Incidence rate ratios of HIV-exposed over unexposed children were 1.5 (95%CI 0.9–2.4) for &lt;6-month children, 1.4 (95%CI 0.7–2.4) for 6- to 11-month children and 0.9 (95%CI 0.4–1.9) for 12- to 59-month children.
Factors Associated With COVID-19 Non-vaccination in Adolescents Hospitalized Without COVID-19
Authors: Sahni Leila C , Price Ashley M , Olson Samantha M , Newhams Margaret M , Pannaraj Pia S , Maddux Aline B , Halasa Natasha B , Bline Katherine E , Cameron Melissa A , Schwartz Stephanie P , Walker Tracie C , Irby Katherine , Chiotos Kathleen , Nofziger Ryan A , Mack Elizabeth H , Smallcomb Laura , Bradford Tamara T , Kamidani Satoshi , Tarquinio Keiko M , Cvijanovich Natalie Z , Schuster Jennifer E , Bhumbra Samina S , Levy Emily R , Hobbs Charlotte V , Cullimore Melissa L , Coates Bria M , Heidemann Sabrina M , Gertz Shira J , Kong Michele , Flori Heidi R , Staat Mary A , Zinter Matt S , Hume Janet R , Chatani Brandon M , Gaspers Mary G , Maamari Mia , Randolph Adrienne G , Patel Manish M , Boom Julie A 
Published: October 2022

Abstract

Background
Pfizer-BioNTech COVID-19 vaccine received emergency use authorization for persons ≥ 16 years in December 2020 and for adolescents 12–15 years in May 2021. Despite the clear benefits and favorable safety profile, vaccine uptake in adolescents has been suboptimal. We sought to assess factors associated with COVID-19 non-vaccination in adolescents 12–18 years of age.

Methods
Between June 1, 2021 and April 29, 2022, we assessed factors associated with COVID-19 non-vaccination in hospitalized adolescents ages 12–18 years enrolled in the Overcoming COVID-19 vaccine effectiveness network. Demographic characteristics and clinical information were captured through parent interviews and/or electronic medical record abstraction; COVID-19 vaccination was assessed through documented sources. We assessed associations between receipt of the COVID-19 vaccine and demographic and clinical factors using univariate and multivariable logistic regression and estimated adjusted odds ratios (aOR) for each factor associated with non-vaccination.

Results
Among 1665 hospitalized adolescents without COVID-19, 56% were unvaccinated. Unvaccinated adolescents were younger (median age 15.1 years vs. 15.4 years, p &lt; .01) and resided in areas with higher social vulnerability index (SVI) scores (median 0.6 vs 0.5, p &lt; .001) than vaccinated adolescents. Residence in the Midwest [aOR 2.60 (95% CI: 1.80, 3.79)] or South [aOR 2.49 (95% CI: 1.77, 3.54)] US census regions, rarely or never receiving influenza vaccine [aOR 5.31 (95% CI: 3.81, 7.47)], and rarely or never taking precautions against COVID-19 [aOR 3.17 (95% CI: 1.94, 5.31)] were associated with non-vaccination against COVID-19.

Conclusions
Efforts to increase COVID-19 vaccination of adolescents should focus on persons with geographic, socioeconomic, and medical risk factors associated with non-vaccination.