bluuebunny/crossref_metadata_2025 huggingface dataset:
Leveraging metal oxide nanoparticles for bacteria tracing and eradicating
Authors: Ren En , Zhang Chang , Li Dengfeng , Pang Xin , Liu Gang
Published: August 2020

Rapid emergence of antibiotic resistance facilitates the development of a number of novel‐acting alternatives. Among these emerging approaches, metal oxide nanoparticles receive great attention due to their distinctive performance in antimicrobial stewardship. These nanoparticles can not only target the cell wall, membrane, and cytoplasmic contents to disrupt cellular homeostasis, but can also generate reactive oxygen species highly cytotoxic for virtually all microorganisms without resistance concern. By taking advantage of inherent imaging characteristics and facile surface functionalization with specific imaging moieties, the metal oxide nanoparticles show great promise in the bacterial tracing and eradicating. In this review, we examine a critical analysis of antimicrobial mechanisms, physicochemical characteristics, and modification strategies for metal oxide nanoparticles. The diagnosis of metal oxide nanoparticles for bacterial infections, coupled with their potential for bacterial theranostics, has been highlighted. We anticipate that this review will provide new insights on design and development of advanced metal oxide nanoparticles to manage bacterial infections, particularly those caused by multidrug‐resistant species.
Novel aspects of the extended first law of entanglement
Authors: Rosso Felipe , Svesko Andrew
Published: August 2020

Abstract

Using AdS/CFT an extended first law of entanglement has been previously derived for the vacuum reduced to a ball in Minkowski. The statement not only includes perturbations of the state but also of the conformal field theory (CFT), via variations of the generalized central charge. We clarify some subtleties previously overlooked and use simple arguments to generalize prior derivations to arbitrary gravity theories in the bulk as well as new regions in the boundary CFT. Our construction also applies to two-dimensional bulk theories and admits an interesting extension for a three-dimensional bulk, providing a curious result regarding the thermodynamic volume in extended black hole thermodynamics. We discuss future prospects regarding the extended first law of entanglement.
Neurite outgrowth inhibitory levels of organophosphates induce tissue transglutaminase activity in differentiating N2a cells: evidence for covalent adduct formation
Authors: Almami Ibtesam S. , Aldubayan Maha A. , Felemban Shatha G. , Alyamani Najiah , Howden Richard , Robinson Alexander J. , Pearson Tom D. Z. , Boocock David , Algarni Alanood S. , Garner A. Christopher , Griffin Martin , Bonner Philip L. R. , Hargreaves Alan J.
Published: August 2020

Organophosphate compounds (OPs) induce both acute and delayed neurotoxic effects, the latter of which is believed to involve their interaction with proteins other than acetylcholinesterase. However, few OP-binding proteins have been identified that may have a direct role in OP-induced delayed neurotoxicity. Given their ability to disrupt Ca2+homeostasis, a key aim of the current work was to investigate the effects of sub-lethal neurite outgrowth inhibitory levels of OPs on the Ca2+-dependent enzyme tissue transglutaminase (TG2). At 1–10 µM, the OPs phenyl saligenin phosphate (PSP) and chlorpyrifos oxon (CPO) had no effect cell viability but induced concentration-dependent decreases in neurite outgrowth in differentiating N2a neuroblastoma cells. The activity of TG2 increased in cell lysates of differentiating cells exposed for 24 h to PSP and chlorpyrifos oxon CPO (10 µM), as determined by biotin-cadaverine incorporation assays. Exposure to both OPs (3 and/or 10 µM) also enhanced in situ incorporation of the membrane permeable substrate biotin-X-cadaverine, as indicated by Western blot analysis of treated cell lysates probed with ExtrAvidin peroxidase and fluorescence microscopy of cell monolayers incubated with FITC-streptavidin. Both OPs (10 µM) stimulated the activity of human and mouse recombinant TG2 and covalent labelling of TG2 with dansylamine-labelled PSP was demonstrated by fluorescence imaging following SDS-PAGE. A number of TG2 substrates were tentatively identified by mass spectrometry, including cytoskeletal proteins, chaperones and proteins involved protein synthesis and gene regulation. We propose that the elevated TG2 activity observed is due to the formation of a novel covalent adduct between TG2 and OPs.
Coronary atherosclerosis profile in patients with end-stage liver disease prior to liver transplantation due to alcoholic fatty liver: a coronary CTA study
Authors: Steinkohl Fabian , Barbieri Fabian , Senoner Thomas , Strobl Sylvia , Finkenstedt Armin , Plank Fabian , Langer Christian , Beyer Christoph , Birkl Katharina , Widmann Gerlig , Zoller Heinz , Dichtl Wolfgang , Friedrich Guy , Tilg Herbert , Feuchtner Gudrun
Published: August 2020

Objectives

To assess the coronary atherosclerosis profile by coronary computed tomography angiography (CTA) in patients with end-stage liver disease (ESLD) due to alcohol-related liver disease (ARLD) evaluated for liver transplantation (LT), in a retrospective matched case-controlled cohort study.

Methods

One hundred forty patients (age 60.6 years ± 9.8, 20.7% females) who underwent coronary CTA were included. Seventy patients with ESLD due to ARLD (ESLD-alc) were propensity score (1:1) matched for age, gender, and the major 5 cardiovascular risk factors with healthy controls. CTA analysis included the following: stenosis severity according to CAD-RADS as (0) = no, (1) minimal < 25%, (2) mild 25–50%, (3) moderate 50–70%, and (4) severe > 70% stenosis, total mixed plaque burden weighted for non-calcified component (G-score) and high-risk plaque criteria (Napkin-Ring, low attenuation plaque, spotty calcification, positive remodeling).

Results

Prevalence of coronary artery disease (CAD) was high (84.4%) in the ESLD-alc group but similar to controls. Stenosis severity was similar (CAD-RADS, 1.9 vs. 2.2,p = 0.289). High-grade stenosis (> 70%) was observed in 12.5% of ESLD-alc patients. High-risk plaques were less frequent in the ESLD-alc cohort as compared to controls (4.5% vs. 37.5%,p < 0.001), and total mixed plaque burden was lower (G-score, 4.9 versus 7.4,p = 0.001). Plaque density was lower in controls (56.6HU ± 3.2 vs. 91.3HU ± 4.5,p = 0.007) indicating more lipid-rich in controls, but higher mixed fibro-calcific plaque component in those with alcohol-related ESLD.

Conclusion

Patients with alcohol-related ESLD exhibit more mixed fibro-calcified plaques but less plaque with high-risk features and less fibro-fatty plaque burden, while total CAD prevalence is high.

Key Points

• Patients with ESLD prior to LT have a high total prevalence of CAD and stenosis severity, which is similar to those of healthy controls with an identical cardiovascular risk profile.

• Patients with ESLD prior to LT due to alcohol abuse have more calcific but less fibro-fatty plaque and less high-risk plaque.

• CTA seems to be a useful imaging technique for risk stratification prior to LT.
Magnetic resonance parametric mapping of the spleen for non-invasive assessment of portal hypertension
Authors: Mesropyan Narine , Isaak Alexander , Faron Anton , Praktiknjo Michael , Jansen Christian , Kuetting Daniel , Meyer Carsten , Pieper Claus C. , Sprinkart Alois M. , Chang Johannes , Maedler Burkhard , Thomas Daniel , Kupczyk Patrick , Attenberger Ulrike , Luetkens Julian A.
Published: August 2020

Objectives

In patients with advanced liver disease, portal hypertension is an important risk factor, leading to complications such as esophageal variceal bleeding, ascites, and hepatic encephalopathy. This study aimed to determine the diagnostic value of T1 and T2 mapping and extracellular volume fraction (ECV) for the non-invasive assessment of portal hypertension.

Methods

In this prospective study, 50 participants (33 patients with indication for trans-jugular intrahepatic portosystemic shunt (TIPS) and 17 healthy volunteers) underwent MRI. The derivation and validation cohorts included 40 and 10 participants, respectively. T1 and T2 relaxation times and ECV of the liver and the spleen were assessed using quantitative mapping techniques. Direct hepatic venous pressure gradient (HVPG) and portal pressure measurements were performed during TIPS procedure. ROC analysis was performed to compare diagnostic performance.

Results

Splenic ECV correlated with portal pressure (r = 0.72; p < 0.001) and direct HVPG (r = 0.50; p = 0.003). No significant correlations were found between native splenic T1 and T2 relaxation times with portal pressure measurements (p > 0.05, respectively). In the derivation cohort, splenic ECV revealed a perfect diagnostic performance with an AUC of 1.000 for the identification of clinically significant portal hypertension (direct HVPG ≥ 10 mmHg) and outperformed other parameters: hepatic T2 (AUC, 0.731), splenic T2 (AUC, 0.736), and splenic native T1 (AUC, 0.806) (p < 0.05, respectively). The diagnostic performance of mapping parameters was comparable in the validation cohort.

Conclusion

Splenic ECV was associated with portal pressure measurements in patients with advanced liver disease. Future studies should explore the diagnostic value of parametric mapping accross a broader range of pressure values.

Key Points

• Non-invasive assessment and monitoring of portal hypertension is an area of unmet interest.

• Splenic extracellular volume fraction is strongly associated with portal pressure in patients with end-stage liver disease.

• Quantitative splenic and hepatic MRI-derived parameters have a potential to become a new non-invasive diagnostic parameter to assess and monitor portal pressure.
Decline of emergency admissions for cardiovascular and cerebrovascular events after the outbreak of COVID-19
Authors: Schwarz Viktoria , Mahfoud Felix , Lauder Lucas , Reith Wolfgang , Behnke Stefanie , Smola Sigrun , Rissland Jürgen , Pfuhl Thorsten , Scheller Bruno , Böhm Michael , Ewen Sebastian
Published: August 2020

Background

The spread of the novel coronavirus SARS-CoV-2 and the guidance from authorities for social distancing and media reporting lead to significant uncertainty in Germany. Concerns have been expressed regarding the underdiagnosing of harmful diseases. We explored the rates of emergency presentations for acute coronary syndrome (ACS) and acute cerebrovascular events (ACVE) before and after spread of SARS-CoV-2.

Methods

We analyzed all-cause visits at a tertiary university emergency department and admissions for ACS and ACVE before (calendar weeks 1–9, 2020) and after (calendar weeks 10–16, 2020) the first coronavirus disease (COVID-19) case in the region of the Saarland, Germany. The data were compared with the same period of the previous year.

Results

In 2020 an average of 346 patients per week presented at the emergency department whereas in 2019 an average of 400 patients presented up to calendar week 16 (p = 0.018; whole year 2019 = 395 patients per week). After the first COVID-19 diagnosis in the region, emergency department visit volume decreased by 30% compared with the same period in 2019 (p = 0.0012). Admissions due to ACS decreased by 41% (p = 0.0023 for all; Δ − 71% (p = 0.007) for unstable angina, Δ − 25% (p = 0.42) for myocardial infarction with ST-elevation and Δ − 17% (p = 0.28) without ST-elevation) compared with the same period in 2019 and decreased from 142 patients in calendar weeks 1–9 to 62 patients in calendar weeks 10–16. ACVE decreased numerically by 20% [p = 0.25 for all; transient ischemic attack: Δ − 32% (p = 0.18), ischemic stroke: Δ − 23% (p = 0.48), intracerebral haemorrhage: Δ + 57% (p = 0.4)]. There was no significant change in ACVE per week (p = 0.7) comparing calendar weeks 1–9 (213 patients) and weeks 10–16 (147 patients). Testing of 3756 samples was performed to detect 58 SARS-CoV-2 positive patients (prevalence 1,54%, thereof one patient with myocardial and two with cerebral ischemia) up to calendar week 16 in 2020.

Conclusions

The COVID-19 pandemic was associated with a significant decrease in all-cause admission and admissions due to cardiovascular events in the emergency department. Regarding acute cerebrovascular events there was a numerical decrease but no significant difference.
Temporal trends in the presentation of cardiovascular and cerebrovascular emergencies during the COVID-19 pandemic in Germany: an analysis of health insurance claims
Authors: Seiffert Moritz , Brunner Fabian J. , Remmel Marko , Thomalla Götz , Marschall Ursula , L’Hoest Helmut , Acar Laura , Debus Eike S. , Blankenberg Stefan , Gerloff Christian , Behrendt Christian-Alexander
Published: August 2020

Aims

The first reports of declining hospital admissions for major cardiovascular emergencies during the COVID-19 pandemic attracted public attention. However, systematic evidence on this subject is sparse. We aimed to investigate the rate of emergent hospital admissions, subsequent invasive treatments and comorbidities during the COVID-19 pandemic in Germany.

Methods and results

This was a retrospective analysis of health insurance claims data from the second largest insurance fund in Germany, BARMER. Patients hospitalized for acute myocardial infarction, acute limb ischemia, aortic rupture, stroke or transient ischemic attack (TIA) between January 1, 2019, and May 31, 2020, were included. Admission rates per 100,000 insured, invasive treatments and comorbidities were compared from January–May 2019 (pre-COVID) to January–May 2020 (COVID). A total of 115,720 hospitalizations were included in the current analysis (51.3% females, mean age 72.9 years). Monthly admission rates declined from 78.6/100,000 insured (pre-COVID) to 70.6/100,000 (COVID). The lowest admission rate was observed in April 2020 (61.6/100,000). Administration rates for ST-segment elevation myocardial infarction (7.3–6.6), non-ST-segment elevation myocardial infarction (16.8–14.6), acute limb ischemia (5.1–4.6), stroke (35.0–32.5) and TIA (13.7–11.9) decreased from pre-COVID to COVID. Baseline comorbidities and the percentage of these patients treated with interventional or open-surgical procedures remained similar over time across all entities. In-hospital mortality in hospitalizations for stroke increased from pre-COVID to COVID (8.5–9.8%).

Conclusions

Admission rates for cardiovascular and cerebrovascular emergencies declined during the pandemic in Germany, while patients’ comorbidities and treatment allocations remained unchanged. Further investigation is warranted to identify underlying reasons and potential implications on patients’ outcomes.

Graphic abstract
Negative parenting behaviour as a mediator of the effects of telephone-assisted self-help for parents of pharmacologically treated children with attention-deficit/hyperactivity disorder
Authors: Dose Christina , Hautmann Christopher , Bürger Mareike , Schürmann Stephanie , Döpfner Manfred
Published: August 2020

A previous randomised controlled trial demonstrated the effects of a telephone-assisted self-help (TASH) intervention for parents of pharmacologically treated children with attention-deficit/hyperactivity disorder (ADHD) on ADHD symptoms, oppositional symptoms, functional impairment, and negative parenting behaviour (per-protocol analyses). In the current study, we examined whether changes in positive and negative parenting behaviour mediated the effects on symptoms and impairment. Parents in an enhancement group (n = 51) participated in a 12-month TASH intervention (eight booklets plus up to 14 telephone consultations) as an adjunct to routine clinical care, whereas parents in a waitlist control group (n = 52) received routine clinical care only. Parents completed measures of child symptoms, child functional impairment, and parenting behaviour at baseline, at 6 months, and at 12 months. The mediating effects of parenting behaviour were examined using regression analyses. Per-protocol analyses (n = 74) revealed a significant indirect intervention effect on functional impairment through negative parenting behaviour at 6 months as well as indirect intervention effects on oppositional symptoms and functional impairment through negative parenting behaviour at 12 months. The indirect effect on ADHD symptoms through negative parenting behaviour at 12 months just failed to reach significance. The analyses yielded no indirect intervention effects through positive parenting behaviour. The study provides some, albeit limited, support for the importance of changes in negative parenting behaviour to achieve changes in symptoms and functional impairment during parent training. In consideration of the inconsistent results of previous studies concerning the mediating role of positive and negative parenting behaviour, further research is required to better understand the mechanisms of change during parent training, also including other possible mediators like parenting stress and parental self-efficacy.
COVID-19 Tests the Market Stability Reserve
Authors: Gerlagh Reyer , Heijmans Roweno J. R. K. , Rosendahl Knut Einar
Published: August 2020

We compare the decrease in energy demand and CO2 emissions in Europe during the financial crisis 2008–2009 with the expected drop in demand and emissions due to COVID-19, and the price response of the EU Emission Trading System (EU ETS). We ask whether the rather limited current price reduction may be due to the Market Stability Reserve (MSR), implemented in the EU ETS between the two crises. Stylized facts and basic theory are complemented with simulations based on a model of the EU ETS. Together, they suggest a mixed result. The MSR stabilizes the EU ETS price in turbulent times, but imperfectly. We show that the more persistent the COVID-19 shock is, the less the MSR is able to serve its purpose.
CITES and the Zoonotic Disease Content in International Wildlife Trade
Authors: Borsky Stefan , Hennighausen Hannah , Leiter Andrea , Williges Keith
Published: August 2020

International trade in wildlife is one contributing factor to zoonotic disease risk. Using descriptive statistics, this paper shows that in the last decades, the volume and pattern of internationally traded wildlife has changed considerably and, with it, the zoonotic pathogens that are traded. In an econometric analysis, we give evidence that an international environmental trade agreement could be used to limit the spread of zoonotic pathogens and disease. More specifically, combining zoonotic disease data with wildlife trade data from the Convention on International Trade in Endangered Species of Wildlife and Fauna (CITES), we show that making trade requirements more stringent leads to a decrease in the number of animals traded and, incidentally, also the number of zoonotic diseases that are traded. Our results contribute to the discussion of policy measures that manage the spread of zoonotic diseases.
Real-Time Estimation of the Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data
Authors: Fezzi Carlo , Fanghella Valeria
Published: August 2020

In response to the COVID-19 emergency, many countries have introduced a series of social-distancing measures including lockdowns and businesses’ shutdowns, in an attempt to curb the spread of the infection. Accordingly, the pandemic has been generating unprecedented disruption on practically every aspect of society. This paper demonstrates that high-frequency electricity market data can be used to estimate the causal, short-run impacts of COVID-19 on the economy, providing information that is essential for shaping future lockdown policy. Unlike official statistics, which are published with a delay of a few months, our approach permits almost real-time monitoring of the economic impact of the containment policies and the financial stimuli introduced to address the crisis. We illustrate our methodology using daily data for the Italian day-ahead power market. We estimate that the 3 weeks of most severe lockdown reduced the corresponding Italian Gross Domestic Product (GDP) by roughly 30%. Such negative impacts are now progressively declining but, at the end of June 2020, GDP is still about 8.5% lower than it would have been without the outbreak.
Impacts of the COVID-19 Pandemic on the Global Agricultural Markets
Authors: Elleby Christian , Domínguez Ignacio Pérez , Adenauer Marcel , Genovese Giampiero
Published: August 2020

This paper analyses the impacts on global agricultural markets of the demand shock caused by the COVID-19 pandemic and the first wave of lockdown measures imposed by the governments in the first semester of 2020 to contain it. Specifically, we perform a scenario-based analysis on the IMF economic growth forecasts for 2020 and 2021 using a global multi-commodity agricultural market model. According to our results, the sharp decline in economic growth causes a decrease in international meat prices by 7–18% in 2020 and dairy products by 4–7% compared to a business as usual situation. Following the slowdown of the economy, biofuel prices fall strongly in 2020, followed by their main feedstocks, maize and oilseeds. Although the income losses and local supply chain disruptions associated with the pandemic undoubtedly has led to an increase in food insecurity in many developing countries, global food consumption is largely unaffected due to the inelastic demand of most agricultural commodities and the short duration of the shock. From an environmental viewpoint, the COVID-19 impacts point to a modest reduction of direct greenhouse gases from agriculture of about 1% or 50 million tonnes of carbon dioxide equivalents in 2020 and 2021.
COVID-19, Systemic Crisis, and Possible Implications for the Wild Meat Trade in Sub-Saharan Africa
Authors: McNamara James , Robinson Elizabeth J. Z. , Abernethy Katharine , Midoko Iponga Donald , Sackey Hannah N. K. , Wright Juliet H. , Milner-Gulland EJ
Published: August 2020

Wild animals play an integral and complex role in the economies and ecologies of many countries across the globe, including those of West and Central Africa, the focus of this policy perspective. The trade in wild meat, and its role in diets, have been brought into focus as a consequence of discussions over the origins of COVID-19. As a result, there have been calls for the closure of China’s “wet markets”; greater scrutiny of the wildlife trade in general; and a spotlight has been placed on the potential risks posed by growing human populations and shrinking natural habitats for animal to human transmission of zoonotic diseases. However, to date there has been little attention given to what the consequences of the COVID-19 economic shock may be for the wildlife trade; the people who rely on it for their livelihoods; and the wildlife that is exploited. In this policy perspective, we argue that the links between the COVID-19 pandemic, rural livelihoods and wildlife are likely to be more complex, more nuanced, and more far-reaching, than is represented in the literature to date. We develop a causal model that tracks the likely implications for the wild meat trade of the systemic crisis triggered by COVID-19. We focus on the resulting economic shockwave, as manifested in the collapse in global demand for commodities such as oil, and international tourism services, and what this may mean for local African economies and livelihoods. We trace the shockwave through to the consequences for the use of, and demand for, wild meats as households respond to these changes. We suggest that understanding and predicting the complex dynamics of wild meat use requires increased collaboration between environmental and resource economics and the ecological and conservation sciences.
General Relativity, Mental Causation, and Energy Conservation
Authors: Pitts J. Brian
Published: August 2020

The conservation of energy and momentum have been viewed as undermining Cartesian mental causation since the 1690s. Modern discussions of the topic tend to use mid-nineteenth century physics, neglecting both locality and Noether’s theorem and its converse. The relevance of General Relativity (GR) has rarely been considered. But a few authors have proposed that the non-localizability of gravitational energy and consequent lack of physically meaningful local conservation laws answers the conservation objection to mental causation: conservation already fails in GR, so there is nothing for minds to violate. This paper is motivated by two ideas. First, one might take seriously the fact that GR formally has an infinity of rigid symmetries of the action and hence, by Noether’s first theorem, an infinity of conserved energies-momenta (thus answering Schrödinger’s 1918 false-negative objection). Second, Sean Carroll has asked (rhetorically) how one should modify the Dirac–Maxwell–Einstein equations to describe mental causation. This paper uses the generalized Bianchi identities to show that General Relativity tends to exclude, not facilitate, such Cartesian mental causation. In the simplest case, Cartesian mental influence must be spatio-temporally constant, and hence 0. The difficulty may diminish for more complicated models. Its persuasiveness is also affected by larger world-view considerations. The new general relativistic objection provides some support for realism about gravitational energy-momentum in GR (taking pseudotensor laws seriously). Such realism also might help to answer an objection to theories of causation involving conserved quantities, because energies-momenta would be conserved even in GR.
Beyond ‘Safeguarding’ and ‘Empowerment’ in Hong Kong: Towards a Relational Model for Supporting Women Who Have Left their Abusive Partners
Authors: Kong Sui-Ting
Published: August 2020

This project explores the post-separation needs of Chinese women in Hong Kong who have left their abusive partners and how they might be addressed The project aims to provide insights for improving the local domestic violence service, whose main focus is on crisis intervention. Cooperative Grounded Inquiry (CGI) was developed as a novel participatory action research methodology (PAR) for fostering collaboration between social work practitioner-researchers and women service users. Its purpose is to generate useful knowledge and provide support for abused women and their children. The project involved 7 Hong Kong Chinese women as participant-researchers. The inquiry group met at least once a week for 6 months to explore the post-separation needs of the women and their children, and to implement and evaluate the practices/services developed through this project together in a participatory manner. Women participants identified the problems of doing either ‘victim’ or ‘survivor’ that respectively underpin the ‘safeguarding’ and the ‘empowerment’ models; and they developed practices for ‘doing being oneself’ beyond the victim-survivor dichotomy. This paper presents the changing self-narratives of women participants over the research project, from victimhood to survivorhood and from survivorhood to survivor-becoming. These narratives demonstrate the importance of safeguarding women’s space for undertaking symbolic action and of empowering them through using volcabulary that can help them describe themselves/their experiences differently from mainstream discourses. Women’s narratives highlight the existing ‘planetary difference’ between the safeguarding model, which treats women as helpless and vulnerable and in need of external support, and the empowerment model which treats them as powerful, resilient and with resources and solutions to problems. The study transcends the victim-survivor dichotomy and service models by proposing an alternative relational model that emphasises power sharing in making sense of abusive experiences and finding one’s own voice in a supportive community.
Addressing storage time restrictions in the S-graph scheduling framework
Authors: Hegyháti Máté , Holczinger Tibor , Ősz Olivér
Published: August 2020

Storage planning and utilization are among the most important considerations of practical batch process scheduling. Modeling the available storage options appropriately can be crucial in order to find practically applicable solutions with the best objective value. In general, there are two main limitations on storage: capacity and time. This paper focuses on the latter and investigates different techniques to tackle limited storage time within the S-graph framework. The S-graph framework is a collection of combinatorial algorithms and a directed graph based model that has been introduced three decades ago and has been under development ever since. In this work, several options for addressing storage time limitations within the framework were implemented and tested for efficiency. The empirical results over a huge number of tests have unequivocally favored one of the approaches, which will be applied in later developments.
The impact of entrepreneurship on economic, social and environmental welfare and its determinants: a systematic review
Authors: Neumann Thomas
Published: August 2020

This paper presents a systematic review of (a) the impact of entrepreneurship on economic, social and environmental welfare and (b) the factors determining this impact. Research over the past 25 years shows that entrepreneurship is one cause of macroeconomic development, but that the relationship between entrepreneurship and welfare is very complex. The literature emphasizes that the generally positive impact of entrepreneurship depends on a variety of associated determinants which affect the degree of this impact. This paper seeks to contribute to the literature in three ways. First, it updates and extends existing literature reviews with the recently emerged research stream on developing countries, and incorporates studies analysing not only the impact of entrepreneurship on economic growth and welfare but also on social and environmental welfare. Second, it identifies and structures the current knowledge on the determinants of this impact. And third, it provides a roadmap for future research which targets the shortcomings of the existing empirical literature on this topic. The review of 102 publications reveals that the literature generally lacks research which (a) goes beyond the common measures of economic welfare, (b) examines the long-term impact of entrepreneurship and (c) focuses on emerging and developing countries. Regarding the determinants of the impact of entrepreneurship, the results highlight the need for empirical research which addresses both already investigated determinants which require more attention (e.g. survival, internationalisation, qualifications) and those which are currently only suspected of shaping the impact of entrepreneurship (e.g. firm performance, the entrepreneur’s socio-cultural background and motivations).
Pseudo-total antimony content in topsoils of the Berlin Metropolitan Area
Authors: Thestorf Kolja , Makki Mohsen
Published: August 2020

Purpose

Sb is a metalloid that naturally occurs in traces in the Northern German Lowland Area, only. Its frequent and still growing demand for industrial purposes and its release during coal combustion and by vehicular emissions lead to an enrichment of Sb in topsoils. Numerous analyses on heavy metals have been conducted in the urban environment so far, but although Sb can be ecologically harmful and potentially carcinogenic, only few studies on Sb in soils were carried out.

Materials and methods

Due to the formation of anthropogenic soils by men, especially in the course of industrialization and after World War II, more than 50% of the Berlin soils consist of anthropogenic material like redeposited natural material, debris, waste, or ashes. This composition of soils of the Berlin Metropolitan Area can function as a model for other metropolitan regions of Central Europe. In the urban and peri-urban area of Berlin, analysis of more than 900 topsoil samples has been performed measuring the content of 12 heavy metals and metalloids (Al, As, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, Sb, and Zn). As a reference for the natural environment, soil profiles of typical parent rock material have been investigated taking also the regional (0.3 mg/kg), the local background value (0.61 mg/kg), and the baseline value (0.07 mg/kg) for Sb into account.

Results

By doing so, we could show the spatial distributional pattern of Sb in the Berlin Metropolitan Area and statistically evaluate our results in dependency of land-use, parent material, and soil parameters such as organic carbon content and pH. Thereby, we could prove an average enrichment two to six times over the regional background value. Median Sb content is very low in forest topsoils (0.54 mg/kg) and reaches its maximum in roadside soils (1.75 mg/kg). Technogenic materials, vehicular emissions, industrial processes, and (former) land-use are the predominant factors for Sb enrichment and distribution in the study area. Some single samples show an enrichment of up to 600% of the regional background value for topsoils.

Conclusion

Our study revealed that the Sb content in the Berlin Metropolitan Area is elevated compared to natural environments. Furthermore, we could demonstrate that Sb is a previously neglected key pollutant, specific to metropolitan areas. Due to the high environmental relevance, further Sb data from selected investigated spaces in other metropolises and specific land-use types are needed to assess the potential environmental risk of Sb in metropolitan areas.
Effect of the Process Gas and Scan Speed on the Properties and Productivity of Thin 316L Structures Produced by Laser-Powder Bed Fusion
Authors: Pauzon C. , Leicht A. , Klement U. , Forêt P. , Hryha E.
Published: August 2020

The development of the laser powder bed fusion (L-PBF) process to increase its robustness and productivity is challenged by ambitious design optimizations, such as thin wall structures. In this study, in addition to the effect of commonly used gases as Ar and N2, increased laser scanning speed and new process gases, such as helium, were successfully implemented. This implementation allowed to build 316L stainless steel components with thin walls of 1 mm thickness with an enhanced build rate of 37 pct. The sample size effect and the surface roughness were held responsible for the reduction in strength (YS > 430 MPa) and elongation (E
AB > 30 pct) for the 1 mm samples studied. Similar strength was achieved for all process gases. The increased scanning speed was accompanied by a more random texture, smaller cell size, and grain size factor along the building direction when compared to the material built with the standard laser parameters. Stronger preferential orientation 〈101〉 along the building direction was observed for material built with standard parameters. Finally, the use of helium as a process gas was successful and resulted in reduced cell size. This finding is promising for the future development of high strength 316L stainless steel built with high build rates.
DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks
Authors: Ni Hong , Feng Zhao , Guan Yue , Jia Xueyan , Chen Wu , Jiang Tao , Zhong Qiuyuan , Yuan Jing , Ren Miao , Li Xiangning , Gong Hui , Luo Qingming , Li Anan
Published: August 2020

The extreme complexity of mammalian brains requires a comprehensive deconstruction of neuroanatomical structures. Scientists normally use a brain stereotactic atlas to determine the locations of neurons and neuronal circuits. However, different brain images are normally not naturally aligned even when they are imaged with the same setup, let alone under the differing resolutions and dataset sizes used in mesoscopic imaging. As a result, it is difficult to achieve high-throughput automatic registration without manual intervention. Here, we propose a deep learning-based registration method called DeepMapi to predict a deformation field used to register mesoscopic optical images to an atlas. We use a self-feedback strategy to address the problem of imbalanced training sets (sampling at a fixed step size in nonuniform brains of structures and deformations) and use a dual-hierarchical network to capture the large and small deformations. By comparing DeepMapi with other registration methods, we demonstrate its superiority over a set of ground truth images, including both optical and MRI images. DeepMapi achieves fully automatic registration of mesoscopic micro-optical images, even macroscopic MRI datasets, in minutes, with an accuracy comparable to those of manual annotations by anatomists.
Dimensionality of narcissism: a Bifactorial model of the Narcissistic Personality Inventory using single-stimulus response formats
Authors: Engyel Márton , Urbán Róbert , Bandi Szabolcs , Nagy László
Published: August 2020

The Narcissistic Personality Inventory is a widely used measure of narcissism; however, several different conflicting factor structures have been proposed. The present study aimed to untangle those differences by offering a bifactor model of narcissism with an underlying general narcissism factor and several specific factors. Our objective was to estimate the variance explained by the general and the specific factors. Therefore, we applied a set of confirmatory factor analyses on three independent studies (N = 791; N = 319 and N = 237), and also tested the construct validity of these factors with other contemporary measures of grandiose and vulnerable narcissism, big five personality traits, explicit self-esteem, gender and well-being. Our results suggest that the bifactor model with three specific factors yielded acceptable fit to our data in all of the different single-stimulus response formats and languages used in our studies and modelling three specific factors offered more insight into the adaptive and maladaptive characteristics of narcissism. The general narcissism factor alone explains only about half of the common variance, highlighting the importance of the specific factors as well.
Building moisture diagnosis: Processing, assessing and representation of environmental data for root cause analysis of mould growth
Authors: Lopez-Arce Paula , Altamirano-Medina Hector , Berry James , Rovas Dimitrios , Sarce Fernando , Hodgson Steve
Published: August 2020

The occurrence of surface condensation and mould can lead to concerns of poor indoor air quality and adverse health implications of occupants. Remedial actions require identification of the root causes, but this can be challenging even for experts. The focus of the research is the development of a diagnostic tool that helps to streamline root cause analysis. The diagnostic method comprises a protocol with guidelines for installation of sensors, easy data collection, and a set of calculations to process environmental information. Environmental parameters collected and calculated from an environmental monitoring exercise of dwellings with and without mould, include physical properties associated with the indoor surface of external walls and surrounding air conditions. The methodology relies on linking specific surface and air environmental parameters together with critical thresholds proposed for the control and avoidance of surface condensation and mould growth in dwellings. These parameters were assessed and used to determine the likely causal factors of a moisture imbalanced environment leading to surface condensation and mould growth; poor thermal building envelope performance, an imbalanced heat-moisture regime, and/or insufficient ventilation. Examples from different scenarios are presented to show the process towards environmental data collection, post-processing to compute and assess pertinent parameters, and the display of environmental conditions in a clear and easy-to-interpret manner. The novel developed system is a time-saving method for processing and represents environmental data. It provides a straightforward building moisture index (BMI) and a systematic diagnostic procedure for environmental assessment and possible causes of mould growth. This helps to support neutral decision making, to identify rectification strategies and direct to more cost-efficient solutions to existing damp and mould problems in buildings.
A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment
Authors: Afflerbach Patrick , van Dun Christopher , Gimpel Henner , Parak Dominik , Seyfried Johannes
Published: August 2020

Research has shown that aggregation of independent expert judgments significantly improves the quality of forecasts as compared to individual expert forecasts. This “wisdom of crowds” (WOC) has sparked substantial interest. However, previous studies on strengths and weaknesses of aggregation algorithms have been restricted by limited empirical data and analytical complexity. Based on a comprehensive analysis of existing knowledge on WOC and aggregation algorithms, this paper describes the design and implementation of a static stochastic simulation model to emulate WOC scenarios with a wide range of parameters. The model has been thoroughly evaluated: the assumptions are validated against propositions derived from literature, and the model has a computational representation. The applicability of the model is demonstrated by investigating aggregation algorithm behavior on a detailed level, by assessing aggregation algorithm performance, and by exploring previously undiscovered suppositions on WOC. The simulation model helps expand the understanding of WOC, where previous research was restricted. Additionally, it gives directions for developing aggregation algorithms and contributes to a general understanding of the WOC phenomenon.
Surface characterization of steel/steel contact lubricated by PAO6 with novel black phosphorus nanocomposites
Authors: Luo Zhiheng , Yu Jingyuan , Xu Yufu , Xi He , Cheng Gang , Yao Lulu , Song Ruhong , Dearn Karl D.
Published: August 2020

In the present work, two types of novel nano additives, titanium sulfonate ligand/black phosphorus (TiL4/BP) and titanium dioxide/black phosphorus (TiO2/BP) nanocomposites, were prepared. The tribological behavior of the steel/steel friction pairs lubricated by polyalphaolefins type 6 (PAO6) containing the nanocomposites under boundary lubrication was studied. The worn surfaces were analyzed using modern surface techniques. The experimental results show that the rubbed surfaces became smooth and showed little wear with the addition of the nanocomposites. TiO2/BP nanocomposites can significantly improve the lubricity of BP nanosheets under high contact stress. The synergistic roles of the load-bearing abilities and rolling effect of TiO2 nanoparticles, the slip induced by the BP with its layered structure, and the establishment of a tribofilm on the sliding interface are the basis of the tribological mechanisms.
The future of Diabetic Kidney Disease management: reducing the unmet need
Authors: de Zeeuw Dick
Published: August 2020

Patients with type 2 diabetes run a high risk for progressive renal function loss. Many interventions have been tested to reduce the risk, but we are nowadays still confronted with a high unmet need. To improve on this unmet need, we will have to change the current strategies in drug discovery, clinical trials and clinical practice. Target finding and the search for new interventions has to change to include more individual mechanistic approaches. Drugs will be selected on basis of finding the “individual” mechanism of renal function loss by looking at renal tissue biopsies or new biomarkers in urine or plasma. To test the promising drugs for clinical efficacy and safety and reduce the unmet need, trial design in type 2 diabetes will have to alter. First, selection of patients at risk for progression of renal function loss will need to be more specific. True progressors need to be identified by switching from classical risk determinants (low eGFR and high albuminuria) to new surrogates like steep eGFR slopes. In addition, the investigational drugs should only continue into registration trials in responder populations: patients that show a good response in the target/surrogate risk marker and no bad responses. This way we will improve the success of hard outcome trials, which has been poor in the past decade. We will reduce the unmet need and reduce the number of patients that are exposed to long term trial treatments without any benefit or even harm. Platform design and basket trials will catch the non-responders and switch them to other investigational drugs with different mechanism of action.

Drug registration will be much more directed to the individual patients and will lead to improved individual patient medication advices and improved individual efficacy and safety. We are entering the era of precision medicine in nephrology.
Group-based generalized q-rung orthopair average aggregation operators and their applications in multi-criteria decision making
Authors: Hussain Azmat , Ali Muhammad Irfan , Mahmood Tahir , Munir Muhammad
Published: August 2020

The objective of this manuscript is to investigate the concept of generalized q-rung orthopair fuzzy sets (Gq-$$\mathcal {R}$$
R
O$$\mathcal {F}$$
F
Ss) and group generalized q-rung orthopair fuzzy sets (GGq-$$\mathcal {R}$$
R
O$$ \mathcal {F}$$
F
Ss) by incorporating the concept of generalized parameter and group generalized parameters in q-rung orthopair fuzzy environment. The main advantage of generalized parameter in q-rung orthopair fuzzy environment is to reduce uncertain errors in the original information to ensure the expert’s level of trust and improve the accuracy of final decision. On the base of generalized parameter, some aggregation operators are introduced such as generalized q-rung orthopair fuzzy average aggregation operators and group generalized q-rung orthopair fuzzy average aggregation operators and studied their related properties. Furthermore, a multi-criteria decision-making method technique based on proposed approach is presented. Finally, a numerical example is provided to illustrate the feasibility of the proposed methods and deliver the sensitivity analysis and comparative analysis, which show the superiority of developed approached than existing methods.
Dimensioning of silicone adhesive joints: Eurocode-compliant, mesh-independent approach using the FEM
Authors: Drass Micheal , Kraus Michael A.
Published: August 2020

This paper deals with the application of the semi-probabilistic design concept (level I, DIN EN 1990) to structural silicone adhesives in order to calibrate partial material safety factors for a stretch-based limit state equation. Based on the current legal situation for the application of structural sealants in façades, a new Eurocode-compliant design concept is introduced and compared to existing design codes (ETAG 002). This is followed by some background information on semi-probabilistic reliability modeling and the general framework of the Eurocode for the derivation of partial material safety factors at Level I. Within this paper, a specific partial material safety factor is derived for DOWSIL 993 silicone on the basis of experimental data. The data were then further evaluated under a stretch-based limit state function to obtain a partial material safety factor for that specific limit state function. This safety factor is then extended to the application in finite element calculation programs in such a way that it is possible for the first time to perform mesh-independent static calculations of silicone adhesive joints. This procedure thus allows for great optimization of structural sealant design with potentially high economical as well as sustainability benefits. An example for the static verification of a bonded façade construction by means of finite element calculation shows (i) the application of EC 0 to silicone adhesives and (ii) the transfer of the EC 0 method to the finite element method with the result that mesh-independent ultimate loads can be determined.