bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adult Learning Principles and Peer Delivery Improve Satisfaction of Electronic Medical Record Onboarding Education
Authors: Lawrence Joanna , Tanny Sharman Tan , Heaton Victoria , Andrew Lauren 
Published: September 2020

Abstract
Objectives Given the importance of onboarding education in ensuring the safety and efficiency of medical users in the electronic medical record (EMR), we re-designed our EMR curriculum to incorporate adult learning principles, informed and delivered by peers. We aimed to evaluate the impact of these changes based on their satisfaction with the training.
Methods A single site pre- and post-observational study measured satisfaction scores (four questions) from junior doctors attending EMR onboarding education in 2018 (pre-implementation) compared with 2019 (post-implementation). An additional four questions were asked in the post-implementation survey. All questions employed a Likert scale (1–5) with an opportunity for free-text. Raw data were used to calculate averages, standard deviations and the student t-test was used to compare the two cohorts where applicable.
Results There were a total of 98 respondents in 2018 (pre-implementation) and 119 in 2019 (post-implementation). Satisfaction increased from 3.8/5 to 4.5/5 (p < 0.0001) following implementation of a peer-delivered curriculum in line with adult learning practices. The highest-rated factors were being taught by other doctors (4.9/5) and doctors having the appropriate knowledge to deliver training (4.9/5). Ninety-two percent of junior doctors were motivated to engage in further EMR education and 90% felt classroom support was adequate.
Conclusion EMR onboarding education for medical users is a critical ingredient to organizational safety and efficiency. An improvement in satisfaction ratings by junior doctors was demonstrated after significant re-design of the curriculum was informed and delivered by peers, in line with adult learning principles.
Feasibility of a Tertiary Hospital Antimicrobial Stewardship Ward Round Using an Electronic Prescribing System—A Pilot Study
Authors: Hamilton Niall L. , Gardiner Sharon J. , Chuah Qian Yi , Chin Paul K.L. , Dalton Simon C. , Metcalf Sarah C. L. 
Published: September 2020

Abstract
Objectives The aim was to conduct a pilot study to determine staff resource requirements for an antimicrobial stewardship (AMS) ward round informed by electronic prescriptions, and the number of restricted antimicrobial prescriptions that would prompt a ward round recommendation.
Methods Prescription data on 26 restricted antimicrobial agents (which have specific prescribing criteria defined by the national drug funding agency) were extracted from the electronic prescribing and administration system (MedChart). A language query was used for specific antimicrobial names on Mondays, Wednesdays, and Fridays over 4 weeks. Prescriptions that had ceased or had an appropriate indication documented were excluded. The remaining prescriptions were evaluated in the ward round upon clinical record review with theoretical AMS recommendations made and time requirements recorded. The ward rounds were performed by two clinical staff, a doctor and pharmacist.
Results In 12 days, 622 prescriptions were extracted. Of these, 66 were evaluated in ward rounds, with 67% (44/66) being for ciprofloxacin or piperacillin-tazobactam. Theoretical AMS recommendations were made in 61% (40/66) of cases, 45% (18/40) being to use a narrower spectrum agent, 30% (12/40) to consult the Infectious Diseases Service, and 23% (9/40) to stop antimicrobial therapy. Data extraction took an analyst approximately 15 minutes, screening by a doctor approximately 20 minutes, and ward rounds approximately 41 minutes per day.
Conclusion Our approach required, in total, approximately 100 clinical staff minutes per day to screen approximately 50 prescriptions and identify and evaluate approximately four prescriptions and showed clinical value. Resource planning should also consider Infectious Diseases and/or Microbiology (physician and service) involvement, and audit capability.
Endocrinology and Covid-19: A Multifaceted Interaction
Authors: Priya Gagan , Grewal Emmy , Maisnam Indira 
Published: September 2020

AbstractWomen with diabetes, obesity and other endocrine or metabolic disorders form a distinct vulnerable group, who are at increased risk during the COVID-19 pandemic, either due to increased risk of severe infection or due to challenges in healthcare delivery during the pandemic.Diabetes is a major risk factor for increased morbidity and mortality from COVID-19. Optimal cardiometabolic control and preventive measures to reduce risk of infection are needed in people afflicted with diabetes. Women with diabetes are at greater risk as they have limited access to diabetes care facilities even outside the time frame of a pandemic and this gender gap in care is likely to widen during the pandemic. Moreover, the care of pregnant women with pre-existing diabetes or gestational diabetes mellitus (GDM) also cannot be compromised. While alternate screening strategies for GDM such as the use of fasting plasma glucose and glycosylated hemoglobin are being considered, telemedicine services can offer a platform for remote monitoring and delivery of optimal diabetes care to pregnant women.Telemedicine services can also be used for delivery of long-term care for other endocrine disorders. Elective surgery or evaluation of endocrine disorders that are not immediately life-threatening can be deferred till appropriate safety precautions can be taken. At the same time, there is a need ensure that care of endocrinopathies such as diabetes, obesity, thyroid disorders and osteoporosis, all of which affect women more severely, is not compromised during the pandemic.Many endocrine organs, including pancreas, thyroid, testis, ovary, adrenals and pituitary, express the angiotensin-converting enzyme 2 (ACE2) that is the receptor for SARS-CoV-2 virus. Since ACE2 expression is different in men and women, there is a need to evaluate the impact of the virus on endocrine system and assess whether this is gender-specific.
Multidisciplinary Approach to Malignant Biliary Obstruction
Authors: Kim Derek Taeyoung , Rahman Uzma , Tenney Robert W. , Roa Oleandro A. Cercio , Rastogi Pawan , Cynamon Jacob , Golowa Yosef 
Published: September 2020

AbstractTreatment of malignant biliary obstruction (MBO) requires the coordination of multiple specialties, including oncologists, surgeons, gastroenterologists, and interventional radiologists. If the tumor is resectable, surgical candidates can usually proceed to surgery without preoperative biliary drainage. For patients who undergo biliary drainage, endoscopic retrograde cholangiopancreatography (ERCP) and percutaneous transhepatic cholangiography (PTC) combined with biliary stenting are techniques with comparable technical success and mortality, each with distinct advantages and risks. Advances in endoscopic ultrasound allow drainage in patients with challenging anatomy. There are a multitude of devices used for biliary decompression. Self-expanding metal stents (SEMS), with longer patency rates, are in most instances preferred over plastic stents for MBO, especially in patients with life expectancy more than 3 to 4 months. Advantages of covered SEMS versus uncovered SEMS remain controversial as covered stents can prevent tumor ingrowth but at the expense of potential increase in stent migrations. Extra-anatomic biliary drainage using lumen-apposing metal stents is an emerging technique which shows promise when conventional ERCP fails. It is imperative to understand these techniques when tailoring a treatment strategy. The goal of this article is to discuss a multidisciplinary approach for MBO to promote comprehensive care using case examples to highlight essential principles.
Interactive Effects of a Combination of the HDAC3 and HDAC9 Genes with Diabetes Mellitus on the Risk of Ischemic Stroke
Authors: Chiou Hung-Yi , Bai Chyi-Huey , Lien Li-Ming , Hu Chaur-Jong , Jeng Jiann-Shing , Tang Sung-Chun , Lin Huey-Juan , Hsieh Yi-Chen 
Published: September 2020

Abstract
Background and Aim Previous studies indicated that the HDAC3 and HDAC9 genes play critical roles in atherosclerosis and ischemic stroke (IS). The purpose of this study was to investigate the association of combined single-nucleotide polymorphisms in the HDAC3 and HDAC9 genes with the susceptibility to IS.
Methods A case–control study was conducted including 863 IS patients and 863 age- and gender-matched healthy participants. A polygenic score was developed to estimate the contribution of a combination of the HDAC3 and HDAC9 genes to the risk of IS. The interactive effects of traditional risk factors of stroke and the polygenic score on the risk of IS were explored. Additionally, the association between the polygenic score and the progression of atherosclerosis, a potential risk factor of IS, was examined in our healthy controls.
Results Subjects with a higher polygenic score had an increased risk of IS (odds ratio: 1.83; 95% confidence interval: 1.38–2.43) after adjusting for covariates compared with individuals with a lower polygenic score. An interactive effect of diabetes mellitus and the polygenic score on the risk of IS was observed. A significant positive correlation between the polygenic score and a change in the plaque score (standardized β = 0.42, p = 0.0235) in healthy controls with diabetes mellitus was found.
Conclusion Our results suggested that the combination of the HDAC3 and HDAC9 genes with a history of diabetes mellitus could exacerbate the deterioration of atherosclerosis, thereby increasing the risk of IS. Further studies are warranted to explore our results in other populations.
Covid-19: implications for insurer risk management and the insurability of pandemic risk
Authors: Richter Andreas , Wilson Thomas C. 
Published: September 2020

AbstractThis paper analyzes the insurability of pandemic risk and outlines how underwriting policies and scenario analysis are used to build resilience upfront and plan contingency actions for crisis scenarios. It then summarizes the unique “lessons learned” from the Covid-19 crisis by baselining actual developments against a reasonable, pre-Covid-19 pandemic scenario based on the 2002 SARS epidemic and 1918 Spanish influenza pandemic. Actual developments support the pre-Covid-19 hypothesis that financial market developments dominate claims losses due to the demographics of pandemics and other factors. However, Covid-19 “surprised” relative to the pre-Covid-19 scenario in terms of its impact on the real economy as well as on the property and casualty segment as business interruption property triggers and exclusions are challenged, something that may adversely impact the insurability of pandemics as well as the perception of the industry for some time to come. The unique lessons of Covid-19 reinforce the need for resilience upfront in solvency and liquidity, the need to improve business interruption wordings and re-underwrite the book, and the recognition that business interruption caused by pandemics may not be an insurable risk due to its large accumulation potential and the threat of external moral hazard. These insurability limitations lead to a discussion about the structure and financing of protection against the impact of future pandemics.
Automated portfolio rebalancing: Automatic erosion of investment performance?
Authors: Horn Matthias , Oehler Andreas 
Published: September 2020

AbstractRobo-advisers enable investors to establish an automated rebalancing strategy for a portfolio usually consisting of stocks and bonds. Since households’ portfolios additionally include further frequently tradable assets like real estate funds, articles of great value and cash(-equivalents), we analyze whether households would benefit from a service that automatically rebalances a portfolio which additionally includes the latter assets. In contrast to previous studies, this paper relies on real-world household portfolios, which are derived from the German central bank’s (Deutsche Bundesbank) Panel on Household Finances (PHF)-Survey. We compute the portfolio performance increase/decrease that households would have achieved by employing rebalancing strategies instead of a buy-and-hold strategy in the period from September 2010 to July 2015 and analyze whether subsamples of households with certain sociodemographic and socioeconomic characteristics would have benefited more from portfolio rebalancing than other household subsamples. The empirical analysis shows that the analyzed German households would not have benefited from an automated rebalancing service and that no subgroup of households would have significantly outperformed another subgroup in the presence of rebalancing strategies.
Accelerated reproduction is not an adaptive response to early-life adversity in wild baboons
Authors: Weibel Chelsea J. , Tung Jenny , Alberts Susan C. , Archie Elizabeth A. 
Published: September 2020

SignificanceIf an individual can anticipate an early death, should they also “live fast”? Fast reproduction is often proposed to be an adaptive response to harsh conditions in early life because early adversity predicts shorter lifespans. Individuals who speed up reproduction after experiencing early adversity might therefore have higher fitness than those who do not. Here, we use extensive data on wild female baboons to test if fast reproduction offers fitness advantages to females who experience nutritional and psychosocial sources of early adversity. Contrary to several influential hypotheses, females who experienced early adversity did not improve their fitness if they sped up reproduction. Our results raise doubts that accelerated reproduction is an adaptive response to early adversity in long-lived, slow-reproducing species.
Children’s narrative interactions
Authors: Quasthoff Uta , Stude Juliane 
Published: September 2020

Abstract
This contribution traces which aspects of narrative acquisition have been emphasized in 30 years of Narrative Inquiry. It then uses this synopsis as a starting-point to present a theoretical and empirical framework which can be characterized by some of the aspects that have attracted less attention in the journal so far. The summary of this consistent interactive approach and some of the results of about 40 years of respective research, based on different corpora, should support the idea that taking up these aspects is worthwhile. Investigating a broad range of age-groups and comparing a variety of contexts, including peer-interaction and classrooms, as well as different genres such as conversational narratives of personal experience and fantasy stories, with a perspective on inter-individual differences, not only expand our knowledge about narrative acquisition, but lead to a new coherent resource-based explication of central concepts such as narration, competence and acquisition.
The impact of post-editing and machine translation on creativity and reading experience
Authors: Guerberof-Arenas Ana , Toral Antonio 
Published: September 2020

AbstractThis article presents the results of a study involving the translation of a fictional story from English into Catalan in three modalities: machine-translated (MT), post-edited (MTPE) and translated without aid (HT). Each translation was analysed to evaluate its creativity. Subsequently, a cohort of 88 Catalan participants read the story in a randomly assigned modality and completed a survey. The results show that HT presented a higher creativity score if compared to MTPE and MT. HT also ranked higher in narrative engagement, and translation reception, while MTPE ranked marginally higher in enjoyment. HT and MTPE show no statistically significant differences in any category, whereas MT does in all variables tested. We conclude that creativity is highest when professional translators intervene in the process, especially when working without any aid. We hypothesize that creativity in translation could be the factor that enhances reading engagement and the reception of translated literary texts.
Optimisation of diamond quantum processors
Authors: Chen YunHeng , Stearn Sophie , Vella Scott , Horsley Andrew , Doherty Marcus W 
Published: September 2020

Abstract
Diamond quantum processors consisting of a nitrogen-vacancy centre and surrounding nuclear spins have been the key to significant advancements in room-temperature quantum computing, quantum sensing and microscopy. The optimisation of these processors is crucial for the development of large-scale diamond quantum computers and the next generation of enhanced quantum sensors and microscopes. Here, we present a full model of multi-qubit diamond quantum processors and develop a semi-analytical method for designing gate pulses. This method optimises gate speed and fidelity in the presence of random control errors and is readily compatible with feedback optimisation routines. We theoretically demonstrate infidelities approaching ∼10−5 for single-qubit gates and established evidence that this can also be achieved for a two-qubit CZ gate. Consequently, our method reduces the effects of control errors below the errors introduced by hyperfine field misalignment and the unavoidable decoherence that is intrinsic to the processors. Having developed this optimal control, we simulated the performance of a diamond quantum processor by computing quantum Fourier transforms. We find that the simulated diamond quantum processor is able to achieve fast operations with low error probability.
The mass of a dark matter WIMP derived from the Hubble constant conflict
Authors: Baruch John 
Published: September 2020

Abstract
There continues to be good reason to believe that dark matter particles, which only “feel” the gravitational force, influence the local and distant Universe, despite drawing a complete blank in the search for such a particle. The expansion rate of the Universe is defined by the Hubble constant h. Measurements of the Hubble constant at different wavelengths produce different results, differing well beyond their errors. Here it is shown that the two precise but different values for the Hubble constant can be used to derive the mass of a weakly interacting massive particle (WIMP). An approximate mass of 1022 eV is determined with indications of why, so far, it has not been found and what is required to get positive confirmation of its presence. This result also indicates that the Hubble constant is the sum of more than one contribution with suggestions for experimental tests to determine, more precisely, the level of these contributions.
The gravitational wave emission of double white dwarf coalescences
Authors: Zou Ze-Cheng , Zhou Xiao-Long , Huang Yong-Feng 
Published: September 2020

Abstract
Type Ia Supernovae (SNe Ia) are widely used as standard candles to probe the Universe. However, how these fierce explosions are produced itself is still a highly debated issue. There are mainly two popular models for SNe Ia: the double-degenerate scenario and the single-degenerate scenario. The double-degenerate scenario suggests that SNe Ia are produced by the coalescence of two degenerate white dwarfs, while the single-degenerate scenario suggests that the continuous accretion of a single degenerate white dwarf from its normal stellar companion will finally lead to a disastrous explosion when it is over-massive, resulting in an SN Ia. The rapid development of the gravitational wave astronomy sheds new light on the nature of SNe Ia. In this study, we calculate the gravitational wave emissions of double white dwarf coalescences and compare them with the sensitivities of several upcoming detectors. It is found that the gravitational wave emissions from double white dwarf mergers in the local universe are strong enough to be detected by LISA. We argue that LISA-like gravitational wave detectors sensitive in the frequency range of 0.01 — 0.1 Hz will be a powerful tool to test the double-degenerate model of SNe Ia, and also to probe the Universe.
A survey of time series forecasting from stochastic method to soft computing
Authors: Hendikawati P , Subanar  , Abdurakhman  , Tarno  
Published: September 2020

Abstract
Forecasting is a part of statistical modelling that is widely used in various fields because of its benefits in decision-making. The purpose of forecasting is to predict the future values of certain variables that vary with time using its previous values. Forecasting is related to the formation of models and methods that can be used to produce a good forecast. This research is a survey paper research that used a systematic mapping study and systematic literature review. Generally, time series research uses linear time series models, specifically the autoregressive integrated moving average model that has long been used because it has good forecasting accuracy. The successfulness of the Box–Jenkins methodology is based on the reality that various models can imitate the behaviour of various types of series, usually without requiring many parameters to be estimated in the final choice of the model. However, the assumption of stationarity that must be met makes this method inflexible to use. With the advances in computers, forecasting methods from stochastic models to soft computing continue to develop and extend. Soft computing for forecasting can provide more accurate results than traditional methods. Moreover, soft computing has many advantages in terms of the amount of data that can be analysed and the time- and cost-effectiveness of the process.
Identification the preliminary concept of geometry through Prambanan temple artifacts
Authors: Andriani A , Marsigit  
Published: September 2020

Abstract
Student preliminary concepts are useful for knowing how much knowledge he already has. One activity that can be used to find out preliminary concepts is to ask students to describe an object. Observation skills are needed by the student to construct mathematical knowledge. This research was conducted at Prambanan Temple. The purpose of this study was to determine the preliminary concept of geometry for junior high school students. Students are invited directly to the location, then asked to describe mathematical characteristics. The method used in this paper is qualitative reseacrh in which the data analysis uses descriptive qualitative. The data collection is in the form of tests and interviews of 3 students of Junior High School Penelitian ini bertempat di Candi Prambanan dengan rentang waktu 2 minggu. The result of the research is that the students can describe the character of geometry in Prambanan Temple such as rectangle, square, triangle, circle, cube, cuboid, and cylinder which becomes student’s preliminary concepts of geometry.
Mathematical Reasoning and Communication in TGT Learning Model with PQ4R Strategy
Authors: Primadani A I , Mardiyana  , Triyanto  
Published: September 2020

Abstract
This study aims to determine the effect of the TGT learning model with the PQ4R strategy on students’ reasoning abilities and mathematical communication skills. This study is a quasi-experimental design. The study population was all students of eight-grade in SMP Negeri 1 Gemolong, Indonesia. While the research sample was students of class VIII F and VIII G. Data collection techniques were the observation and test methods. Data collection techniques with observation and test methods. Analysis of the data used is one-way Manova. In the statistical test, it was found that the reasoning ability had a value of F = 18,165 while the communication skills had a value of F = 8,139, both of which had a significance of less than α = 0.05 so that H0 was rejected. Therefore, the results show that (1) the TGT learning model with the PQ4R strategy is better than the direct learning model of students’ mathematical reasoning abilities. (2) The TGT learning model with the PQ4R strategy is also better than the direct learning model for students’ mathematical communication skills.