bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reference databases, primer choice, and assay sensitivity for environmental metabarcoding: Lessons learnt from a re‐evaluation of an eDNA fish assessment in the Volga headwaters
Authors: Schenekar Tamara , Schletterer Martin , Lecaudey Laurène A. , Weiss Steven J. 
Published: March 2020

AbstractBiodiversity monitoring via environmental DNA, particularly metabarcoding, is evolving into a powerful assessment tool for riverine systems. However, for metabarcoding to be fully integrated into standardized monitoring programmes, some current challenges concerning sampling design, laboratory workflow, and data analysis need to be overcome. Here, we review some of these major challenges and potential solutions. We further illustrate three potential pitfalls, namely the choice of suitable metabarcoding primers, the necessity of complete reference databases, and varying assay sensitivities, by a reappraisal of our‐own recently carried out metabarcoding study in the Volga headwaters. TaqMan qPCRs had detected catfish (Silurus glanis) and European eel (Anguilla anguilla), whereas metabarcoding had not, in the same samples. Furthermore, after extending the genetic reference database by 12 additional species and re‐analysing the metabarcoding data, we additionally detected the Siberian spiny loach (Cobitis sibirica) and Ukrainian brook lamprey (Eudontomyzon mariae) and reassigned the operational taxonomic units previously assigned to Misgurnus fossilis to Cobitis sibirica. In silico analysis of metabarcoding primer efficiencies revealed considerable variability among primer pairs and among target species, which could lead to strong primer bias and potential false‐negatives in metabarcoding studies if not properly compensated for. These results highlight some of the pitfalls of eDNA‐metabarcoding as a means of monitoring fish biodiversity in large rivers, which need to be considered in order to fully unleash the full potential of these approaches for freshwater biodiversity monitoring.
Silver‐Laden Black Phosphorus Nanosheets for an Efficient In Vivo Antimicrobial Application
Authors: Liang Meijuan , Zhang Minyi , Yu Shanshan , Wu Qiong , Ma Kang , Chen Yingying , Liu Xiaoqing , Li Chunsen , Wang Fuan 
Published: March 2020

AbstractNanobactericides represent one of the most efficient and promising strategies for eliminating bacterial infection considering the increasing resistance threats of conventional antibiotics. Black phosphorus (BP) is the most exciting postgraphene layered 2D nanomaterial with convincing physiochemical properties, yet the study of BP‐based antibiotics is still in its infancy. Here, a compact silver nanoparticle (AgNP)–doped black phosphorus nanosheet (BPN) is constructed to synergistically enhance solar disinfection through the promoted reactive oxygen species (ROS) photogeneration, which is attributed to the improved electron–hole separation and recombination of BPNs as revealed from the systematic experimental studies. An in‐depth density functional theory (DFT) calculation confirms that the integrated AgNPs provide a preferred site for facilitating the adsorption and activation of O2, thus promoting the more efficient and robust ROS generation on BPN–AgNP nanohybrids. Besides the enhanced photoinduced ROS, the anchored AgNPs simultaneously lead to a dramatically increased affinity toward bacteria, which facilitates a synergetic pathogen inactivation. Significantly, the convincing antimicrobial BPN–AgNP contributes to the prominent wound healing and antimicrobial ability in vivo with minimized biological burden. This sophisticated design of new 2D nanohybrids opens a new avenue for further exploiting BP‐based nanohybrids in portable bandage and broad‐spectrum disinfection applications.
What drives new product innovation in China? An integrative strategy tripod approach
Authors: Heredia Jorge , Yang Xiaohua , Flores Alejandro , Rubiños Cathy , Heredia Walter 
Published: March 2020

AbstractThis study explores the determinants that drive new product innovation by employing the integrative strategy tripod approach. We analyze data from the World Bank Enterprise Survey on 1,692 manufacturing firms in China using a novel methodological approach (a fuzzy set qualitative comparative analysis) that focuses on multiple conjectural causations. Interestingly, our findings suggest that R&D investment alone is not a sufficient condition to facilitate a firm's product innovation, but stable government policy is a necessary condition for R&D investment. Even with a low level of R&D investments, it can achieve innovation if those investments are made in conjunction with high technology information system investments for supporting customer relationships. Finally, we find that when firms perceive informal competition to be a significant obstacle to their operations and R&D investment, they tend to engage in corrupt actions to create innovation. Implications for research and practice are provided.
Subsidized to change? The impact of R&D policy on regional technological diversification
Authors: Mewes Lars , Broekel Tom 
Published: March 2020

AbstractPrevious research shows ample evidence that regional diversification is strongly path dependent, as regions are more likely to diversify into related than unrelated activities. In this paper, we ask whether contemporary innovation policy in form of R&D subsidies intervenes in the process of regional diversification. We focus on R&D subsidies and assess whether they cement existing path dependent developments, or whether they help in breaking these by facilitating unrelated diversification. To investigate the role of R&D policy in the process of regional technological diversification, we link information on R&D subsidies with patent data and analyze the diversification of 141 German labor-market regions into new technology classes between 1991 and 2010. Our findings suggest that R&D subsidies positively influence regional technological diversification. In addition, we find significant differences between types of subsidy. Subsidized joint R&D projects have a larger effect on the entry probabilities of technologies than subsidized R&D projects conducted by single organizations. To some extent, collaborative R&D can even compensate for missing relatedness by facilitating diversification into unrelated technologies.
Clinical translation of 18F-fluoropivalate – a PET tracer for imaging short-chain fatty acid metabolism: safety, biodistribution, and dosimetry in fed and fasted healthy volunteers
Authors: Dubash Suraiya R. , Keat Nicholas , Kozlowski Kasia , Barnes Chris , Allott Louis , Brickute Diana , Hill Sam , Huiban Mickael , Barwick Tara D. , Kenny Laura , Aboagye Eric O. 
Published: March 2020

Abstract
Background
Fatty acids derived de novo or taken up from the extracellular space are an essential source of nutrient for cell growth and proliferation. Radiopharmaceuticals including 11C-acetate, and 18F-FAC (2-18F-fluoroacetate), have previously been used to study short-chain fatty acid (SCFA) metabolism. We developed 18F-fluoropivalate (18F-FPIA; 3-18F-fluoro-2,2-dimethylpropionic acid) bearing a gem-dimethyl substituent to assert metabolic stability for studying SCFA metabolism. We report the safety, biodistribution, and internal radiation dosimetry profile of 18F-FPIA in 24 healthy volunteers and the effect of dietary conditions.

Materials and methods
Healthy volunteer male and female subjects were enrolled (n = 24), and grouped into 12 fed and 12 fasted. Non-esterified fatty acids (NEFA) and carnitine blood measurements were assessed. Subjects received 159.48 MBq (range, 47.31–164.66 MBq) of 18F-FPIA. Radiochemical purity was > 99%. Safety data were obtained during and 24 h after radiotracer administration. Subjects underwent detailed multiple whole-body PET/CT scanning with sampling of venous bloods for radioactivity and radioactive metabolite quantification. Regions of interest were defined to derive individual and mean organ residence times; effective dose was calculated using OLINDA 1.1.

Results
All subjects tolerated 18F-FPIA with no adverse events. Over 90% of radiotracer was present in plasma at 60 min post-injection. The organs receiving highest absorbed dose (in mGy/MBq) were the liver (0.070 ± 0.023), kidneys (0.043 ± 0.013), gallbladder wall (0.026 ± 0.003), and urinary bladder (0.021 ± 0.004); otherwise there was low tissue uptake. The calculated effective dose using mean organ residence times over all 24 subjects was 0.0154 mSv/MBq (SD ± 0.0010). No differences in biodistribution or dosimetry were seen in fed and fasted subjects, though systemic NEFA and carnitine levels reflected fasted and fed states.

Conclusion
The favourable safety, imaging, and dosimetric profile makes 18F-FPIA a promising candidate radiotracer for tracing SCFA metabolism.
Performance determination of high-purity N2-PSA-plants
Authors: Marcinek A. , Guderian J. , Bathen D. 
Published: March 2020

AbstractThe global demand on highly purified gases provided by energy-efficient separation processes grows steadily since decades. An example of particular industrial relevance is nitrogen generated by pressure swing adsorption from compressed air. A kinetically based separation of oxygen from nitrogen is possible by means of carbon molecular sieves (CMS) since oxygen adsorbs remarkably faster in CMS than nitrogen. Even high product purities (5–1000 ppm O2) are easily achievable in commercial generators. However, only a few studies present experimental findings in this purity range. That comes as no surprise, since experimental conditions are not standardised and the determination of N2-PSA performance indicators still creates an experimental challenge. Moreover, the design of the set-up remarkably influences the experimental results. Thus it is the motivation of this study to develop a multi-step strategy, comprising the definition of a reference process, the derivation of explicit and implicit performance indicators based on either flow meter readings or macroscopic material balances, a verification strategy for experimentally obtained data, and an error consideration, which advices accuracy requirements for analysers and flow meters. The effect of cycle time and operating temperature on the performance indicators is exemplarily studied at high purities by means of the proposed strategy.
Cybervetting job applicants on social media: the new normal?
Authors: Jacobson Jenna , Gruzd Anatoliy 
Published: March 2020

AbstractWith the introduction of new information communication technologies, employers are increasingly engaging in social media screening, also known as cybervetting, as part of their hiring process. Our research, using an online survey with 482 participants, investigates young people’s concerns with their publicly available social media data being used in the context of job hiring. Grounded in stakeholder theory, we analyze the relationship between young people’s concerns with social media screening and their gender, job seeking status, privacy concerns, and social media use. We find that young people are generally not comfortable with social media screening. A key finding of this research is that concern for privacy for public information on social media cannot be fully explained by some “traditional” variables in privacy research. The research extends stakeholder theory to identify how social media data ethics should be inextricably linked to organizational practices. The findings have theoretical implications for a rich conceptualization of stakeholders in an age of social media and practical implications for organizations engaging in cybervetting.
The Big Bang is a Coordinate Singularity for $$k = -1$$ Inflationary FLRW Spacetimes
Authors: Ling Eric 
Published: March 2020

AbstractWe show that the big bang is a coordinate singularity for a large class of$$k = -1$$k=-1inflationary FLRW spacetimes which we have dubbed ‘Milne-like.’ By introducing a new set of coordinates, the big bang appears as a past boundary of the universe where the metric is no longer degenerate—a result which has already been investigated in the context of vacuum decay (Coleman and De Luccia in Phys Rev D 21:3305–3315, 1980). We generalize their results and approach the problem from a more mathematical perspective. Similar to how investigating the geometrical properties of the$$r = 2m$$r=2mevent horizon in Schwarzschild led to a better understanding of black holes, we believe that investigating the geometrical properties of the big bang coordinate singularity for Milne-like spacetimes could lead to a better understanding of cosmology. We show how the mathematics of these spacetimes may help illuminate certain issues associated with dark energy, dark matter, and the universe’s missing antimatter.
Nutritional interventions for heart failure patients who are malnourished or at risk of malnutrition or cachexia: a systematic review and meta-analysis
Authors: Habaybeh Dina , de Moraes Mariana Bordinhon , Slee Adrian , Avgerinou Christina 
Published: March 2020

AbstractMalnutrition is common in heart failure (HF), and it is associated with higher hospital readmission and mortality rates. This review aims to answer the question whether nutritional interventions aiming to increase protein and energy intake are effective at improving outcomes for patients with HF who are malnourished or at risk of malnutrition or cachexia. Systematic searches of four databases (Medline, Embase, CINAHL and Cochrane Central Register of Controlled Trials (CENTRAL)) were conducted on 21 June 2019. Randomized controlled trials (RCTs) or other interventional studies using protein or energy supplementation for adult HF patients who are malnourished or at risk of malnutrition or cachexia were included. Two independent reviewers assessed study eligibility and risk of bias. Five studies (four RCTs and one pilot RCT) met the inclusion criteria. The majority of studies were small and of limited quality. The pooled weighted mean difference (WMD) for body weight showed a benefit from the nutritional intervention by 3.83 kg (95% confidence interval (CI) 0.17 to 7.50, P = 0.04) from three trials with no significant benefit for triceps skinfold thickness (WMD = − 2.14 mm, 95% CI − 9.07 to 4.79, P = 0.55) from two trials. The combination of personalized nutrition intervention with conventional treatment led to a decrease in all-cause mortality and hospital readmission in one study. Findings of this review suggest that nutritional interventions could potentially improve outcomes in HF patients who are malnourished or at risk of malnutrition. However, the strength of the evidence is poor, and more robust studies with a larger number of participants are needed.
Mothers’ Experiences of Having an Adolescent Child with Depression: An Interpretative Phenomenological Analysis
Authors: Armitage Sarah , Parkinson Monika , Halligan Sarah , Reynolds Shirley 
Published: March 2020

Abstract
Objectives
Adolescence represents a significant period of vulnerability for the development of depression. Whilst research has begun to explore factors associated with the development, maintenance and outcomes of adolescent depression, there is little research investigating this experience from a parental viewpoint. The aim of this study was to explore mothers’ experiences of having an adolescent child with depression.

Methods
Eight mothers of depressed adolescents were recruited following their child’s clinical assessment at a Child and Adolescent Mental Health Service and participated in semi-structured interviews. The transcripts of the interviews were analysed using interpretative phenomenological analysis.

Results
The analysis revealed five interlinked superordinate themes: Finding a reason, something to blame; Living with uncertainty; Feelings of helplessness and frustration; Depression causes change; Hiding own emotions and needs. A key finding across the themes was the emotional distress and sense of uncertainty experienced by the mothers.

Conclusions
The findings highlight avenues for clinical practice and further research including exploring the type and format of information and support that parents would value most, the views of fathers, and more in-depth exploration of the identified themes with parents using both qualitative and quantitative methods.
Dynamic changes in the signal-averaged electrocardiogram are associated with the long-term outcomes after ablation of ischemic ventricular tachycardia
Authors: Dinov Borislav , Schramm Lisa , Koenig Sebastian , Oebel Sabrina , Bollmann Andreas , Hindricks Gerhard , Arya Arash , Bode Kerstin 
Published: March 2020

Abstract
Purpose
Signal-averaged ECG (SAECG) can detect inhomogeneous myocardial conduction in patients presenting with ventricular tachycardia (VT) after myocardial infarction. Radiofrequency ablation (RFCA) aims at elimination of the endocardial late potentials and non-inducibility of VT. Previously, we demonstrated that abnormal SAECG at baseline can return to normal after a successful VT ablation. The present research investigates the post-ablation changes in SAECG after RFCA of VT and their relation to the procedural long-term outcomes.

Methods
Thirty-three patients (31 male; age 68 ± 9 years; EF 36 ± 12%) with ischemic VT were prospectively enrolled to receive RFCA. One VT (range 1–7) per patient was ablated using substrate-guided RFCA and complete success was achieved in 28 (85%) cases. SAECG was performed before (t1), immediately after (t2), and at least 6 months (t3) after the RFCA.

Results
After RFCA, the amount of patients showing abnormal SAECG decreased from 82% initially (t1) to 57.6% post-interventionally (t2); P = 0.008; and remained unchanged thereafter in 57% (t3). Patients who experienced VT recurrence (VT+) during the follow-up period had broader averaged QRS (t2): (VT+) 150 ± 26 vs. (VT−) 129 ± 21 ms; P = 0.015, as well as longer LAS40 (t2): (VT+) 60 ± 26 vs. (VT−) 43 ± 18 ms; P = 0.03. Abnormal SAECG (t2) was a strong predictor for VT recurrence: HR 5.4; 95% CI 1.5–21. SAECG detected more late potentials in patients with inferior than in those with anterior scars: 95% vs. 58%; P = 0.016.

Conclusions
RFCA of VT in the left ventricle can improve an abnormal SAECG in some patients after myocardial infarction. Normal SAECG after RFCA of VT is associated with a lower risk for VT recurrence and death.
Impact of re-definition of paroxysmal and persistent atrial fibrillation in the 2012 and 2016 European Society of Cardiology atrial fibrillation guidelines on outcomes after pulmonary vein isolation
Authors: Weinmann Karolina , Aktolga Deniz , Pott Alexander , Bothner Carlo , Rattka Manuel , Stephan Tilman , Rottbauer Wolfgang , Dahme Tillman 
Published: March 2020

Abstract
Purpose
In the 2016 European Society of Cardiology (ESC) guidelines for the management of atrial fibrillation (AF), the definition of AF type has been modified compared with the 2010 guidelines and its 2012 focused update. We compared the difference of single procedure outcomes using the definitions before and after 2016 on a cohort of patients with AF undergoing AF ablation.

Methods
Consecutive AF ablation patients with paroxysmal or persistent AF were retrospectively reclassified applying the 2010, 2012, and 2016 ESC definitions on AF type.

Results
We included a total of 628 patients. Applying the 2010 ESC AF guidelines definition, 68% of patients were paroxysmal while according to the 2016 ESC AF guidelines, the proportion increased to 87%. Applying the 2010 ESC guidelines definition, recurrence rates of paroxysmal and persistent AF patients differ significantly (log-rank p < 0.001). Applying the 2012 focused update and the 2016 ESC AF guidelines, recurrence rates do not differ significantly. In a cox regression model applying the 2010 guidelines, persistent AF is the only independent predictor of AF recurrence in our cohort. However, when applying the 2016 guidelines, persistent AF is no longer a predictor of AF recurrence.

Conclusions
The revised definition of AF types in the 2016 ESC AF guidelines leads to a marked shift from persistent to paroxysmal AF. It appears that the old definition provided a better separator to predict rhythm outcome after AF ablation.
Plant-Based Synthesis of Silver Nanoparticles Using Aqueous Leaf Extract of Salvia officinalis: Characterization and its Antiplasmodial Activity
Authors: Okaiyeto Kunle , Hoppe Heinrich , Okoh Anthony I. 
Published: March 2020

AbstractIn the present study, an aqueous leaf extract of Salvia officinalis was used to synthesize silver nanoparticles (AgNPs) and characterized with different techniques such as UV–vis spectroscopy, Fourier transform infrared (FTIR), X-ray diffraction (XRD), Scanning electron microscope (SEM), Energy dispersive X-ray spectroscopy (EDX), Transmission electron microscope (TEM) and thermogravimetric analysis (TGA). Subsequently, its cytotoxic effect against human cervix adenocarcinoma (HeLa) cells and antiplasmodial activity against Plasmodium falciparum were investigated. UV–vis spectrum of AgNPs displayed an absorption peak at 323 nm and TEM result revealed it to be spherical in shape with average size of 41 nm. FTIR results highlighted the key bioactive compounds that could be responsible for the reduction and capping of AgNPs and XRD analysis showed its crystalline nature with a face-centered cubic (fcc) structure. The synthesized AgNPs was found to be less cytotoxic against HeLa cells line and demonstrated good antiplasmodial potential (IC50 = 3.6 µg/mL). Findings from this study indicated that the AgNPs could serve as a template in the development of new drugs for the control of malaria and hence, further study is needed to identify and characterize the potent molecules that suppress the malaria parasite.
Efficient Collection and Representation of Preverbal Data in Typical and Atypical Development
Authors: Pokorny Florian B. , Bartl-Pokorny Katrin D. , Zhang Dajie , Marschik Peter B. , Schuller Dagmar , Schuller Björn W. 
Published: March 2020

AbstractHuman preverbal development refers to the period of steadily increasing vocal capacities until the emergence of a child’s first meaningful words. Over the last decades, research has intensively focused on preverbal behavior in typical development. Preverbal vocal patterns have been phonetically classified and acoustically characterized. More recently, specific preverbal phenomena were discussed to play a role as early indicators of atypical development. Recent advancements in audio signal processing and machine learning have allowed for novel approaches in preverbal behavior analysis including automatic vocalization-based differentiation of typically and atypically developing individuals. In this paper, we give a methodological overview of current strategies for collecting and acoustically representing preverbal data for intelligent audio analysis paradigms. Efficiency in the context of data collection and data representation is discussed. Following current research trends, we set a special focus on challenges that arise when dealing with preverbal data of individuals with late detected developmental disorders, such as autism spectrum disorder or Rett syndrome.