bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intensivtransport Neugeborener mit respiratorischem Versagen
Authors: Klemme Mathias , Staffler Alex , Förster Kai M. , Kappeler Julia , Flemmer Andreas W. 
Published: August 2021

Zusammenfassung
Hintergrund und Ziel der Studie
Der Transport von Früh und Neugeborenen mit respiratorischem Versagen ist mit einem hohen Transportrisiko assoziiert und stellt höchste Anforderungen an medizinisches Personal und technische Ausrüstung. Eine kontinuierliche Überprüfung der Qualität ist daher unumgänglich. Ziel dieser monozentrischen retrospektiven Analyse ist es, die Mortalität transportierter Neugeborener mit respiratorischem Versagen mithilfe eines Outcomescores, Transport Risk index of Physiologic Stability, Version II, (TRIPS-II-Score) und im Vergleich zu bereits publizierter Literatur zu analysieren.

Methodik
Es wurden 79 Intensivtransporte von Früh- und Neugeborenen mit hochgradigem respiratorischem Versagen retrospektiv analysiert. Zur Einschätzung des Transportrisikos und der Transportqualität wurde der TRIPS-II-Score erhoben und mit der Literatur verglichen.

Ergebnisse
Insgesamt wurden 77 Patienten luft- (n = 56, 73 %) oder bodengebunden (n = 21, 27 %) transportiert. Zwei Patienten verstarben vor dem Transport. Kein Patient verstarb während des Transports. Alle Patienten mussten invasiv beatmet werden, davon 22 (29 %) mit Hochfrequenzoszillation (HFOV) und 55 (71 %) erhielten inhalatives Stickoxid (iNO). Der mittlere Oxygenierungsindex (OI) betrug 33 [4-100, min.-max.] Insgesamt mussten 24 Patienten (31 %) nach Aufnahme einer ECMO-Therapie unterzogen werden. Insgesamt verstarben 20 (26 %) Neugeborene, 7 davon in der ECMO-Therapie-Gruppe.

Schlussfolgerung
Transporte von Neugeborenen mit schwerem Lungenversagen können durch den Einsatz eines spezialisierten Teams mit Sonderequipment meist komplikationslos durchgeführt werden. Die scheinbar sehr hohe Mortalität ist mit Daten der internationalen Literatur vergleichbar.
Pharmainnovationen: überragende Position der USA und Schwächen der deutschen Forschung
Authors: Eckert Andreas , Maennig Wolfgang 
Published: August 2021

ZusammenfassungDie Innovationskraft von Forschungsleistungen wird oft an Inputs wie Forschungsmitteln oder Outputs wie Patentanmeldungen gemessen. Hier wird ein neuartiger Indikator für pharmazeutische Innovationskraft vorgestellt, der sich auf die weltweiten medizinischen Durchbrüche und die assoziierten Patente konzentriert. Demnach sind US-Unternehmen von 2010 bis 2019 für 55 % der weltweiten medizinischen Durchbrüche verantwortlich, ihre deutschen Konkurrenten für rund 9 %. Bei den zugrundeliegenden Ankerpatenten ist die Dominanz der USA mit 62 % noch größer — aus Deutschland kommen nur 7 % der Ankerpatente. US-Universitäten halten 3,8 % aller Ankerpatente — deutsche Universitäten keine. Die Schwäche der deutschen Universitäten kann nicht durch die deutschen außeruniversitären Forschungsinstitute ausgeglichen werden.
Unilateral Phase-Out of Coal to Power in an Emissions Trading Scheme
Authors: Eichner Thomas , Pethig Rüdiger 
Published: August 2021

AbstractWe investigate the displacement effects of unilateral phase-out-of-coal policies in a stylized two-country model with coal- and gas-fired electricity generation in an international emissions trading scheme. In the basic policy scenario, electricity markets are national and one country bans coal while the emissions cap remains unchanged. The allocative displacement effects are strongly asymmetric: the coal-banning country suffers a welfare loss, the other country is better off, and aggregate welfare declines. Furthermore, the permit price decreases, while the electricity price rises in the unilaterally acting country and declines in the other country. If all countries would phase out coal, the effects would be symmetric and all countries would lose. We then extend the analysis to the cases (i) when the unilateral coal ban is combined with a moderate cut of the emissions cap (as recently suggested in an EU Directive) and (ii) when we allow for international trade in electricity. Compared to the basic unilateral policy, in these cases, the total welfare costs tend to be smaller and some tend to be shifted from the unilaterally acting country to the other one.
Hollow ZnO microspheres self-assembled from rod-like nanostructures: morphology-dependent linear and Kerr-type nonlinear optical properties
Authors: Haghighatzadeh Azadeh , Mazinani Babak , Ostad Masood , Shokouhimehr Mohammadreza , Dutta Joydeep 
Published: August 2021

AbstractHollow nanostructures have attracted attention because of their unique physiochemical properties and broad potential applications in electronics, optics and photonics. In this study, a facile hydrothermal approach was developed to fabricate hollow ZnO microspheres via self-assembled rod-like nanostructures. The morphology-controlled synthesis was conducted by altering hydrothermal treatment temperature (150, 200 and 250 °C) in solutions containing zinc acetate dihydrate precursor and glycerol as the stabilizing agent. The morphological observations indicated that hydrothermally grown ZnO architectures could be reasonably adjusted by modulating hydrothermal reaction temperature. Possible growth routes are proposed to elucidate the formation process of ZnO microspheres with the rod-like nanostructures. Morphology-dependent absorbance and emission along with red-shifts with improved crystalline qualities were observed with increasing hydrothermal growth temperature. Kerr-type nonlinear optical characteristics examined using single-beam Z-scan technique in the near infrared spectral range under nanosecond Nd-YVO4 laser pulses showed positive values of nonlinear refraction providing an evidence of self-focusing behaviors at the excitation wavelength of 1064 nm in all the samples studied. The highest Kerr-type nonlinear susceptibility was estimated to be 2.31 × 10–6 esu for hollow ZnO microspheres grown at 250 °C, suggesting synergistic effects of surface morphologies on optical nonlinearities.
COVID-19 and Children’s Well-Being: A Rapid Research Agenda
Authors: Dudovitz Rebecca N. , Russ Shirley , Berghaus Mary , Iruka Iheoma U. , DiBari Jessica , Foney Dana M. , Kogan Michael , Halfon Neal 
Published: August 2021

Abstract
Purpose
Understanding the full impact of COVID-19 on U.S. children, families, and communities is critical to (a) document the scope of the problem, (b) identify solutions to mitigate harm, and (c) build more resilient response systems. We sought to develop a research agenda to understand the short- and long-term mechanisms and impacts of the COVID-19 pandemic on children’s healthy development, with the goal of devising and ultimately testing interventions to respond to urgent needs and prepare for future pandemics.

Description
The Life Course Intervention Research Network facilitated a series of virtual meetings that included members of 10 Maternal and Child Health (MCH) research programs, their research and implementation partners, as well as family and community representatives, to develop an MCH COVID-19 Research Agenda. Stakeholders from academia, clinical practice, nonprofit organizations, and family advocates participated in four meetings, with 30–35 participants at each meeting.

Assessment
Investigating the impacts of COVID-19 on children’s mental health and ways to address them emerged as the highest research priority, followed by studying resilience at individual and community levels; identifying and mitigating the disparate negative effects of the pandemic on children and families of color, prioritizing community-based research partnerships, and strengthening local, state and national measurement systems to monitor children’s well-being during a national crisis.

Conclusion
Enacting this research agenda will require engaging the community, especially youth, as equal partners in research co-design processes; centering anti-racist perspectives; adopting a “strengths-based” approach; and integrating young researchers who identify as Black, Indigenous, and People of Color (BIPOC). New collaborative funding models and investments in data infrastructure are also needed.
Trust in Government Actions During the COVID-19 Crisis
Authors: Rieger Marc Oliver , Wang Mei 
Published: August 2021

AbstractThe worldwide COVID-19 pandemic puts countries and their governments in an unprecedented situation. Strong countermeasures have been implemented in most places, but how much do people trust their governments in handling this crisis? Using data from a worldwide survey, conducted between March 20th and April 22nd, 2020, with more than 100,000 participants, we study people’s perceptions of government reactions in 57 countries. We find that media freedom reduces government trust directly as well as indirectly via a more negative assessment of government reactions as either insufficient or too strict. Higher level of education is associated with higher government trust and lower tendency to judge government reactions as too extreme. We also find different predictors of perceived insufficient reactions vs. too-extreme reactions. In particular, number of COVID-19 deaths significantly predicts perceived insufficient reactions but is not related to perceived too-extreme reactions. Further survey evidence suggests that conspiracy theory believers tend to perceive government countermeasures as too strict.
Nonnegative Bayesian nonparametric factor models with completely random measures
Authors: Ayed Fadhel , Caron François 
Published: August 2021

AbstractWe present a Bayesian nonparametric Poisson factorization model for modeling dense network data with an unknown and potentially growing number of overlapping communities. The construction is based on completely random measures and allows the number of communities to either increase with the number of nodes at a specified logarithmic or polynomial rate, or be bounded. We develop asymptotics for the number and size of the communities of the network and derive a Markov chain Monte Carlo algorithm for targeting the exact posterior distribution for this model. The usefulness of the approach is illustrated on various real networks.
Smart carbon monitoring platform under IoT-Cloud architecture for small cities in B5G
Authors: Zhang He , Zhang Jianxun , Wang Rui , Huang Yazhe , Zhang Mengxiao , Shang Xuefeng , Gao Chang 
Published: August 2021

AbstractWith the rapid development of the Internet of Things (IoT) in the 5G age, the construction of smart cities around the world consequents on the exploration of carbon reduction path based on IoT technology is an important direction for global low carbon city research. Carbon dioxide emissions in small cities are usually higher than that in large and medium cities. However, due to the huge difference in data environment between small cities and Medium-large sized cities, the weak hardware foundation of the IoT, and the high input cost, the construction of a small city smart carbon monitoring platform has not yet been carried out. This paper proposes a real-time estimate model of carbon emissions at the block and street scale and designs a smart carbon monitoring platform that combines traditional carbon control methods with IoT technology. It can exist long-term data by using real-time data acquired with the sensing device. Therefore, the dynamic monitoring and management of low-carbon development in small cities can be achieved. The contributions are summarized as follows: (1) Intelligent thermoelectric systems, industrial energy monitoring systems, and intelligent transportation systems are three core systems of the monitoring platform. Carbon emission measurement methods based on sample monitoring, long-term data, and real-time data have been established, they can solve the problem of the high cost of IoT equipment in small cities. (2) Combined with long-term data, the real-time correction technology, they can dispose of the matter of differences in carbon emission measurement under diverse scales.
Reversal of deficits in aged skeletal muscle during disuse and recovery in response to treatment with a secrotome product derived from partially differentiated human pluripotent stem cells
Authors: Fix Dennis K. , Mahmassani Ziad S. , Petrocelli Jonathan J. , de Hart Naomi M.M.P. , Ferrara Patrick J. , Painter Jessie S. , Nistor Gabriel , Lane Thomas E. , Keirstead Hans S. , Drummond Micah J. 
Published: August 2021

AbstractAged individuals are at risk to experience slow and incomplete muscle recovery following periods of disuse atrophy. While several therapies have been employed to mitigate muscle mass loss during disuse and improve recovery, few have proven effective at both. Therefore, the purpose of this study was to examine the effectiveness of a uniquely developed secretome product (STEM) on aged skeletal muscle mass and function during disuse and recovery. Aged (22 months) male C57BL/6 were divided into PBS or STEM treatment (n = 30). Mice within each treatment were assigned to either ambulatory control (CON; 14 days of normal cage ambulation), 14 days of hindlimb unloading (HU), or 14 days of hindlimb unloading followed by 7 days of recovery (recovery). Mice were given an intramuscular delivery into the hindlimb muscle of either PBS or STEM every other day for the duration of their respective treatment group. We found that STEM-treated mice compared to PBS had greater soleus muscle mass, fiber cross-sectional area (CSA), and grip strength during CON and recovery experimental conditions and less muscle atrophy and weakness during HU. Muscle CD68 +, CD11b + and CD163 + macrophages were more abundant in STEM-treated CON mice compared to PBS, while only CD68 + and CD11b + macrophages were more abundant during HU and recovery conditions with STEM treatment. Moreover, STEM-treated mice had lower collagen IV and higher Pax7 + cell content compared to PBS across all experimental conditions. As a follow-up to examine the cell autonomous role of STEM on muscle, C2C12 myotubes were given STEM or horse serum media to examine myotube fusion/size and effects on muscle transcriptional networks. STEM-treated C2C12 myotubes were larger and had a higher fusion index and were related to elevated expression of transcripts associated with extracellular matrix remodeling. Our results demonstrate that STEM is a unique cocktail that possesses potent immunomodulatory and cytoskeletal remodeling properties that may have translational potential to improve skeletal muscle across a variety of conditions that adversely effect aging muscle.
Adherence to physical activity recommendations and barriers to physical activity participation among adults with type 1 diabetes
Authors: Finn Mary , Sherlock Mark , Feehan Sinead , Guinan Emer M. , Moore Kevin B. 
Published: August 2021

Abstract
Background
Physical activity (PA) is important for those with type 1 diabetes (T1DM); however, accurate information on PA in people with T1DM is limited.

Aims
This study assessed adherence to PA guidelines using both objective and subjective PA measures and evaluated the relationship between accelerometer-measured PA and cardiovascular disease (CVD) risk factors. Barriers to PA were also assessed.

Methods
Using an observational cross-sectional design, PA was measured objectively over 7 days in 72 participants (34 males) using an accelerometer (ActiGraph) and subjectively using the International Physical Activity Questionnaire (IPAQ). Perceived barriers to PA were assessed using the Barriers to Physical Activity in Diabetes (type 1) scale. Multiple linear regression models assessed the influence of PA on HbA1c and CVD risk factors.

Results
Mean age ± SD was 40.9 ± 12.9 years, diabetes duration was 18 ± 11.6 years, and HbA1c was 65 ± 14 mmol/mol /8.0 ± 1.3%. Twenty-three (32%) participants exercised according to PA recommendations as measured by an accelerometer. Sixty-nine (97%) participants reported meeting the recommendations as per the IPAQ. Those meeting recommendations (accelerometry) had a lower HbA1c (p = 0.001), BMI (p = 0.032), waist circumference (p = 0.006), and fat mass (p = 0.032) and a greater number of hypoglycaemic events (p = 0.004). Fear of hypoglycaemia was the strongest barrier to PA (mean 3.4 ± 2.0).

Conclusion
The majority of participants failed to meet PA recommendations. Meeting the recommendations was associated with healthier CVD risk factor profiles. Individuals with T1DM possibly overestimate their PA using self-reported measures and require support and education to safely improve activity levels.
Economic evaluation of an early childhood development center–based agriculture and nutrition intervention in Malawi
Authors: A Gelli , CG Kemp , A Margolies , A Twalibu , M Katundu , C Levin 
Published: August 2021

AbstractMalnutrition is a leading cause of death and disability among children in low-income countries. Nutrition-sensitive interventions show promise in increasing food access and improving diets. There are possible synergies of integrating these programs with other sectors, improving effectiveness by leveraging resources. However, economic evaluations of these multi-sectoral programs are limited. We aimed to estimate the cost efficiency, cost-effectiveness, benefit-cost ratio, and net benefit of using community-based early childhood development (ECD) centers as platforms for an intervention promoting agricultural production and nutrition among households with young children in Malawi. The intervention was costed using bottom-up micro-costing and top-down expenditure analysis with a societal perspective and a 12-month horizon. Effectiveness estimates were derived from a cluster-randomized control trial. Premature deaths and stunting cases averted were estimated using the Lived Saved Tool. We calculated DALYs averted, and the value of three benefits streams resulting from reductions in premature mortality, increases in lifetime productivity and household agricultural productivity. We transferred the US value of a statistical life (VSL) to Malawi using an income elasticity of 1.5, and a 10% discount rate. Probabilistic sensitivity analysis was conducted using a Monte Carlo model. The intervention cost $197,377, reaching 4,806 beneficiaries at $41 per beneficiary, $595 per case of stunting, $18,310 per death, and $516 per DALY averted. Net benefit estimates ranged from $507,589 to $4,678,258, and benefit-cost ratios from 3.57 to 24.70. Sensitivity analyses confirmed a positive return on investment. Implementing agriculture-nutrition interventions through ECD platforms may be an efficient use of resources in Malawi and similar contexts.
Effects of Mindfulness-Based Parallel-Group Interventions on Family Functioning and Child and Parent Mental Health: a Systematic Review and Meta-analysis
Authors: Xie Qian-Wen , Dai Xiaolu , Lyu Renhui , Lu Shuang 
Published: August 2021

Abstract
Objectives
Involving parents and children in mindfulness-based interventions may holistically benefit family well-being. This meta-analysis systematically reviews and synthesizes the effects of mindfulness-based parallel-group (MBPG) interventions, which simultaneously involve parent and child, on family functioning, and the mental health of parents and children.

Methods
A total of 20 relevant studies were identified from 14 databases. The overall intervention effect size was estimated by pooled standardized mean difference. Moderator analyses were performed to explain the variability in intervention effects. Risk of bias and publication bias were also assessed.

Results
MBPG interventions showed minor-to-small positive effects on family functioning (d = 0.182, 95% CI [0.045, 0.319]), parental mental health (d = 0.238, 95% CI [0.110, 0.365]), and child mental health (d = 0.325, 95% CI [0.137, 0.513]). The effects of MBPG interventions on child mental health varied significantly by child age, child gender, recruitment setting, type of parent group, other activities in child group, other activities in parent group, and study design.

Conclusions
MBPG interventions show promising effects in improving mental health of both parents and children as well as in improving overall family functioning. However, significant variations exist in characteristics of participants, interventions, and study designs. Given the limited evidence currently available, more studies are needed to assess the determinants of effectiveness in MBPG interventions.
Protocol Registration: PROSPERO #CRD42020164927
Dynamic surplus optimization with performance- and index-linked liabilities
Authors: Desmettre Sascha , Wahl Markus , Zagst Rudi 
Published: August 2021

AbstractThe increasing importance of liability-driven investment strategies and the shift towards retirement products with lower guarantees and more performance participation provide challenges for the development of portfolio optimization frameworks which cover these aspects. To this end, we establish a general and flexible terminal surplus optimization framework in continuous time, allowing for dynamic investment strategies and stochastic liabilities, which can be linked to the performance of an index or the asset portfolio of the insurance company. Besides optimality results in a fairly general surplus optimization setting, we obtain closed-form solutions for the optimal investment strategy for various specific liability models, which include the cases of index-linked and performance-linked liabilities and liabilities which are completely or only partially hedgeable. We compare the results in numerical examples and study the impact of the performance participation, unhedgeable risk components, different ways of modeling the liabilities and the relative risk aversion parameter. We find that performance- or index-linked liabilities, which provide a close link between the wealth of the insurance company and its liabilities, allow for a higher allocation in the risky investment. On the other hand, unhedgeable risks reduce the allocation in the risky investment. We conclude that, aiming at a high expected return for the policy holder, insurance companies should try to connect the performance of insurance products closely to the wealth and minimize unhedgeable risks.
Choice Architecture for Nudges to Support Constructive Learning in Active Video Watching
Authors: Dimitrova Vania , Mitrovic Antonija 
Published: August 2021

AbstractVideo-based learning is widely used today in both formal education and informal learning in a variety of contexts. Videos are especially powerful for transferable skills learning (e.g. communicating, negotiating, collaborating), where contextualization in personal experience and ability to see different perspectives are crucial. With the ubiquity of widely available video content, video-based learning is seen as one of the main strategies to provide engaging learning environments. However, numerous studies show that to learn effectively while watching videos, students need to engage actively with video content. We have developed an active video watching platform (AVW-Space) to facilitate engagement with video content by providing means for constructive learning. The initial studies with AVW-Space on presentation skills show that only students who commented on videos and who rated comments written by their peers have improved their understanding of the target transferable skill. In order to foster deeper engagement, we designed a choice architecture and a set of nudges to encourage students to engage deeper. We conducted two studies investigating the effect of nudges. The results provide evidence that the initial set of implemented nudges is effective: the students who received nudges wrote more comments, used different aspects, and there were more students who wrote comments. The nudges were particularly helpful for undergraduate students who were less experienced in self-regulated learning. Future work includes designing additional nudges to enhance student engagement by improving the quality of comments and by encouraging participation in collaborative activities.