bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blood Pressure Management by Anesthesia Professionals: Evaluating Clinician Skill From Electronic Medical Records
Authors: Sessler Daniel I. , Khan Mohammad Z. , Maheshwari Kamal , Liu Liu , Adegboye Janet , Saugel Bernd , Mascha Edward J. 
Published: October 2020

BACKGROUND:
Avoiding intraoperative hypotension might serve as a measure of clinician skill. We, therefore, estimated the range of hypotension in patients of nurse anesthetists, and whether observed differences were associated with a composite of serious complications.

METHODS:
First, we developed a multivariable model to predict the amount of hypotension, defined as minutes of mean arterial pressure (MAP) <65 mm Hg, for noncardiac surgical cases from baseline characteristics excluding nurse anesthetist. Second, we compared observed and predicted amounts of hypotension for each case and summarized “excess” amounts across providers. Third, we estimated the extent to which hypotension on an individual case level was independently associated with a composite of serious complications. Finally, we assessed the range of actual and excess minutes of MAP <65 mm Hg on a provider level, and the extent to which these pressure exposures were associated with complications.

RESULTS:
We considered 110,391 hours of anesthesia by 99 nurse anesthetists. A total of 69% of 25,702 included cases had at least 1 minute of MAP <65 mm Hg, with a median (quartiles) of 4 (0–15) minutes on the case level. We were unable to explain much variance of intraoperative hypotension from baseline patient characteristics. However, cases in the highest 2 quartiles (>10 and >24 min/case more than predicted) were an estimated 27% (95% confidence interval [CI], 1.1–1.4) and 31% (95% CI, 1.2–1.5) more likely to experience complications compared to those with 0 excess minutes (both P < .001). There was little variation of the average excess minutes <65 mm Hg across the nurse anesthetists, with median (quartiles) of 1.6 (1.2–1.9) min/h. There was no association in confounder-adjusted models on the nurse anesthetist level between average excess hypotension and complications, either for continuous exposure (P = .09) or as quintiles (P = .30).

CONCLUSIONS:
Hypotension is associated with complications on a case basis. But the average amount of hypotension for nurse anesthetists over hundreds of cases differed only slightly and was insufficient to explain meaningful differences in complications. Avoiding hypotension is a worthy clinical goal, but does not appear to be a useful metric of performance because the range of average amounts per clinician is not meaningfully associated with patient outcomes, at least among nurse anesthetists in 1 tertiary center.
Do Particles Interact Electronically? —Proof of Interparticle Charge-transfer Excitation between Adjoined Anatase and Rutile Particles
Authors: Shen Yang , Nitta Akio , Takashima Mai , Ohtani Bunsho 
Published: October 2020

Abstract
Here, we report experimental evidence of interparticle spatial overlapping of orbitals to result in interparticle charge-transfer excitation (ICTE) at an anatase-rutile interface which is expected to be applicable to clarify the relative band position of metal-oxides and mixture homogeneity of mixture samples measured by reversed double-beam photoacoustic spectroscopy.
The Psychological Burden of Retirement from Sport
Authors: Esopenko Carrie , Coury Josephine R. , Pieroth Elizabeth M. , Noble James M. , Trofa David P. , Bottiglieri Thomas S. 
Published: October 2020

Abstract
Participation in sport is associated with numerous physical and psychological health benefits, but also can have negative consequences, such as career ending injuries, which may have long-term effects on mental health. Recent research suggests that involuntary retirement, due to injury, illness, or being cut from a sport, can be particularly detrimental. As such, this review focuses on the impact athletic retirement has on the psychological well-being of collegiate athletes. We provide an algorithm to inform clinical decision making regarding involuntary retirement, as well as recommendations for the development of support programs and educational resources for athletes struggling with career transition. Our aim is that in developing retirement algorithms, support programs, and educational resources for athletes who are retired from sport, we can intervene early thus reducing the potential long-term psychological burden they may experience.
Cooking with biomass fuel and cardiovascular disease: a cross-sectional study among rural villagers in Phitsanulok, Thailand
Authors: Juntarawijit Chudchawal , Juntarawijit Yuwayong 
Published: October 2020

Background: Burning biomass fuel is a major source of indoor air pollution; about 40% of Thai people still use biomass for cooking. There is increasing evidence of the association between biomass smoke exposure and serious health effects including cardiovascular disease. The object of this cross-sectional study was to investigate the association between biomass use for household cooking and cardiovascular outcome, including coronary heart disease, hypertension, high cholesterol, diabetes mellitus, and stroke among rural villagers in Phitsanulok, Thailand. Methods: Data from 1078 households were collected using a face-to-face interview questionnaire. In each household, data on cardiovascular disease, cooking practices, and cooking fuel, types of fuel they normally used for cooking, were collected. Results: After being adjusted for gender, age, cigarette smoke, secondhand smoke, and exposure to other sources of air pollution, it was found that the family members of cooks using biomass fuel were at risk of coronary heart disease (CHD; OR=4.35; 95%CI 0.10–18.97), hypertension (OR=1.61; 95%CI 1.10–2.35), high cholesterol (HC; OR=2.74; 95%CI 1.66–4.53), and diabetes (OR=1.88; 95%CI 1.03–3.46). Compared to LPG use, using wood was associated with stroke (OR=7.64; 95%CI 1.18–49.61), and using charcoal was associated with HC (OR=1.52; 95%CI 1.04–2.24). Compared to never user, household cooks who sometimes use charcoal had an increased risk of hypertension (OR=2.04; 95%CI 1.32–3.15), HC (OR=2.61; 95%CI 1.63–4.18), and diabetes (OR=2.09; 95%CI 1.17–3.73); and cooks who often use charcoal had an elevated risk of stroke (OR=3.17; 95%CI 1.04–9.71), and HC (OR=1.52; 95%CI 1.02–2.27) to their family members. Conclusions: The study results were consistent with those found in studies from other parts of the world, and supports that exposure to biomass smoke increase cardiovascular diseases. The issue should receive more attention, and promotion of clean fuel use is a prominent action.
Annotation and curation of human genomic variations: an ELIXIR Implementation Study
Authors: David Alessia , Barbié Valérie , Attimonelli Marcella , Preste Roberto , Makkonen Enni , Marjonen Heidi , Lindstedt Mats , Kristiansson Kati , Hunt Sarah E. , Cunningham Fiona , Lappalainen Ilkka , Sternberg Michael J.E. 
Published: October 2020

Background: ELIXIR is an intergovernmental organization, primarily based around European countries, established to host life science resources, including databases, software tools, training material and cloud storage for the scientific community under a single infrastructure. Methods: In 2018, ELIXIR commissioned an international survey on the usage of databases and tools for annotating and curating human genomic variants with the aim of improving ELIXIR resources. The 27-question survey was made available on-line between September and December 2018 to rank the importance and explore the usage and limitations of a wide range of databases and tools for annotating and curating human genomic variants, including resources specific for next generation sequencing, research into mitochondria and protein structure. Results: Eighteen countries participated in the survey and a total of 92 questionnaires were collected and analysed. Most respondents (89%, n=82) were from academia or a research environment. 51% (n=47) of respondents gave answers on behalf of a small research group (<10 people), 33% (n=30) in relation to individual work and 16% (n=15) on behalf of a large group (>10 people). The survey showed that the scientific community considers several resources supported by ELIXIR crucial or very important. Moreover, it showed that the work done by ELIXIR is greatly valued. In particular, most respondents acknowledged the importance of key features and benefits promoted by ELIXIR, such as the verified scientific quality and maintenance of ELIXIR-approved resources. Conclusions ELIXIR is a “one-stop-shop” that helps researchers identify the most suitable, robust and well-maintained bioinformatics resources for delivering their research tasks.
First report on molecular identification of Fusarium species causing fruit rot of mandarin (Citrus reticulata) in Bangladesh
Authors: Hasan Mohammed Faruk , Islam Mohammed Asadul , Sikdar Biswanath 
Published: October 2020

Background: Fusarium rot is a newly introduced, devastating disease of citrus fruits. The current investigation was undertaken to characterize the microbes responsible for fruit rot in Citrus reticulata. Methods: Pathogens were isolated from infected citrus fruits using morphological and molecular approaches. For confirmation of the isolated fungi, polymerase chain reaction (PCR) amplification and internal transcribed spacer gene sequencing techniques were used. Results: The isolated fungus was grown on potato dextrose agar for three days and it produced clamydospores, hyphae and macroconidia. PCR amplification of isolated fungal DNA gave a 650 bp product. The sequence obtained from isolated fungi had 99.42% similarity with the reference Fusarium concentricum sequence in NCBI GenBank. The obtained sequence was deposited in GenBank (Accession No. MT856371). Two isolates showed virulence capability on fresh guava, sweet orange and tomato fruits, which confirmed species identification and Koch’s postulates. Artificially inoculated fungal species grown on tested fruits showed typical Fusarium species symptoms. Conclusions: Outcomes of the present study are beneficial for the detection of this detrimental disease in postharvest Citrus reticulata fruits. Further research is needed for the control of this economically important disease. This is the first study of fruit rot in Citrus reticulata caused by Fusarium in Bangladesh.
Prenatal lead exposure: associations with growth and anthropometry in early childhood in a UK observational birth cohort study
Authors: Taylor Caroline M. , Golding Jean , Kordas Katarzyna 
Published: October 2020

Background:Lead is a neurotoxic metal that crosses the placenta freely. It has adverse effects on a range of birth outcomes. The few studies reporting on the associations of prenatal exposure to lead and child growth have had conflicting results. This study aimed to examine the effect of low-level prenatal exposure to lead on children’s growth from 4 to 61 months old.Methods:Pregnant women were enrolled in the UK Avon Longitudinal Study of Parents and Children (ALSPAC). Whole blood samples for pregnancies with a live birth were analysed for lead (n=4140). A 10% subsample of the offspring cohort (Children in Focus) were invited to clinics at 10 time points (4–61 months) at which anthropometric measurements were carried out; z-scores for height, weight and BMI were calculated using the 1990 British Growth Reference Standards. Associations between prenatal log10-lead concentrations and z-scores and other anthropometric measures were modelled using adjusted linear regression models in an imputed dataset for children who attended at least one clinic (n=574).Results:The mean prenatal blood lead concentration was 3.59±1.50 (range 1.22–14.70) µg/dl. There was no evidence for any associations of low-level prenatal lead exposure with z-scores for BMI, height or weight in adjusted models from age 4 to 61 months. There were no associations for other anthropometric measures including mid-upper arm circumference, head circumference and waist circumference. There was some evidence for a weakly positive effect of prenatal lead exposure on head circumference in girls at age 43 and 61 months (at 61 months unstandardised B coefficient 1.59 (95% CI 0.12, 3.16) cm, p=0.048) but not at other ages.Conclusions:There was no consistent evidence of associations between prenatal exposure to lead and measures of growth and anthropometry from age 4 to 61 months in this cohort of children in the UK.
Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria
Authors: Liu Jiapeng , Kadziński Miłosz , Liao Xiuwu , Mao Xiaoxin 
Published: October 2020

The learning of predictive models for data-driven decision support has been a prevalent topic in many fields. However, construction of models that would capture interactions among input variables is a challenging task. In this paper, we present a new preference learning approach for multiple criteria sorting with potentially interacting criteria. It employs an additive piecewise-linear value function as the basic preference model, which is augmented with components for handling the interactions. To construct such a model from a given set of assignment examples concerning reference alternatives, we develop a convex quadratic programming model. Because its complexity does not depend on the number of training samples, the proposed approach is capable for dealing with data-intensive tasks. To improve the generalization of the constructed model on new instances and to overcome the problem of overfitting, we employ the regularization techniques. We also propose a few novel methods for classifying nonreference alternatives in order to enhance the applicability of our approach to different data sets. The practical usefulness of the proposed approach is demonstrated on a problem of parametric evaluation of research units, whereas its predictive performance is studied on several monotone classification problems. The experimental results indicate that our approach compares favourably with the classical UTilités Additives DIScriminantes (UTADIS) method and the Choquet integral-based sorting model. Summary of Contribution. The paper tackles vital challenges at the intersections of multiple criteria decision analysis and machine learning, showing how computationally advanced techniques can be used for faithfully representing human preferences and dealing with complex decision problems. Specifically, we propose a novel preference learning method for multiple criteria sorting problems. The introduced approach incorporates convex quadratic programming to construct a value-based preference model based on large sets of preference statements. In this way, we extend the applicability of decision analysis methods to preferences derived from historical data or observation of users' behavior in addition to the preference judgments explicitly revealed by the decision-makers. The method's practical usefulness is illustrated on a variety of real-world datasets from fields such as higher education, medicine, human resources, and housing market. Its potential for supporting better decision-making is enhanced by both an interpretable form of the assumed model handling interactions between criteria as well as a high predictive performance demonstrated in the extensive computational experiments.
On the Solution of ℓ0-Constrained Sparse Inverse Covariance Estimation Problems
Authors: Phan Dzung T. , Menickelly Matt 
Published: October 2020

The sparse inverse covariance matrix is used to model conditional dependencies between variables in a graphical model to fit a multivariate Gaussian distribution. Estimating the matrix from data are well known to be computationally expensive for large-scale problems. Sparsity is employed to handle noise in the data and to promote interpretability of a learning model. Although the use of a convex ℓ1 regularizer to encourage sparsity is common practice, the combinatorial ℓ0 penalty often has more favorable statistical properties. In this paper, we directly constrain sparsity by specifying a maximally allowable number of nonzeros, in other words, by imposing an ℓ0 constraint. We introduce an efficient approximate Newton algorithm using warm starts for solving the nonconvex ℓ0-constrained inverse covariance learning problem. Numerical experiments on standard data sets show that the performance of the proposed algorithm is competitive with state-of-the-art methods. Summary of Contribution: The inverse covariance estimation problem underpins many domains, including statistics, operations research, and machine learning. We propose a scalable optimization algorithm for solving the nonconvex ℓ0-constrained problem.
Surge Pricing and Its Spatial Supply Response
Authors: Besbes Omar , Castro Francisco , Lobel Ilan 
Published: October 2020

We consider the pricing problem faced by a revenue-maximizing platform matching price-sensitive customers to flexible supply units within a geographic area. This can be interpreted as the problem faced in the short term by a ride-hailing platform. We propose a two-dimensional framework in which a platform selects prices for different locations and drivers respond by choosing where to relocate, in equilibrium, based on prices, travel costs, and driver congestion levels. The platform’s problem is an infinite-dimensional optimization problem with equilibrium constraints. We elucidate structural properties of supply equilibria and the corresponding utilities that emerge and establish a form of spatial decomposition, which allows us to localize the analysis to regions of movement. In turn, uncovering an appropriate knapsack structure to the platform’s problem, we establish a crisp local characterization of the optimal prices and the corresponding supply response. In the optimal solution, the platform applies different treatments to different locations. In some locations, prices are set so that supply and demand are perfectly matched; overcongestion is induced in other locations, and some less profitable locations are indirectly priced out. To obtain insights on the global structure of an optimal solution, we derive in quasi-closed form the optimal solution for a family of models characterized by a demand shock. The optimal solution, although better balancing supply and demand around the shock, quite interestingly also ends up inducing movement away from it. This paper was accepted by David Simchi-Levi, optimization.
Social Influence Undermines the Wisdom of the Crowd in Sequential Decision Making
Authors: Frey Vincenz , van de Rijt Arnout 
Published: October 2020

Teams, juries, electorates, and committees must often select from various alternative courses of action what they judge to be the best option. The phenomenon that the central tendency of many independent estimates is often quite accurate—“the wisdom of the crowd”—suggests that group decisions based on plurality voting can be surprisingly wise. Recent experimental studies demonstrate that the wisdom of the crowd is further enhanced if individuals have the opportunity to revise their votes in response to the independent votes of others. We argue that this positive effect of social information turns negative if group members do not first contribute an independent vote but instead cast their votes sequentially such that early mistakes can cascade across strings of decision makers. Results from a laboratory experiment confirm that when subjects sequentially state which of two answers they deem correct, majorities are more often wrong when subjects can see how often the two answers have been chosen by previous subjects than when they cannot. As predicted by our theoretical model, this happens even though subjects’ use of social information improves the accuracy of their individual votes. A second experiment conducted over the internet involving larger groups indicates that although early mistakes on easy tasks are eventually corrected in long enough choice sequences, for difficult tasks wrong majorities perpetuate themselves, showing no tendency to self-correct.This paper was accepted by Yuval Rottenstreich, decision analysis.
The Views of Thai Buddhist Monks on a Good Death
Authors: Sangchart Bumpenchit , Ngamgam Suksan Promdee , Ekwuttiwongsa Rawat , Sangruangake Monthida 
Published: October 2020

Background:When Buddhist monks were sick, they had to take care of themselves, or they will be taken care of by other monks. The care may be provided until they recover from the illness or throughout life. The monks who are the caregivers go through near-death and death experiences. The purpose of this phenomenological study was to investigate the meanings of a good death based on the experience of 13 Thai Buddhist monks that providing care for the sick monks until the sick monks passed away. Method:Purposeful sampling was used to select participants who voluntarily participated in the study. In-depth interviews were the main methods of data gathering. Established trustworthiness of a qualitative inquiry based on quality criteria of Lincoln and Guba. The methodological interpretations of Diekelmann and Allen established the thematic analysis of this study. Results:Six main themes and six subthemes of a good death emerged from participants which formed the basis of the findings reported: (a) free from suffering, consisting of 1) death without life's restraints, 2) peaceful death, and 3) death as a sleeping person (but not awake); (b) natural death with good deeds; (c) awareness of death, composed of (1) accepting death, (2) preparation before death, and (3) letting things go; (d) last spirituality becoming a mental charity; (e) resting in peace; and (f) nirvana. Conclusion: The results of the present study could fulfill and extend the meanings of good death to a wider and deeper which are different from the previous studies.
Experiences With the Mental Health Service System of Family Caregivers of Individuals With an Intellectual/Developmental Disability Referred to START
Authors: Holingue Calliope , Kalb Luther G. , Klein Ann , Beasley Joan B. 
Published: October 2020

Abstract
People with intellectual and developmental disabilities (IDD) frequently have behavioral or mental health needs, but experience obstacles to treatment. Family caregivers are often responsible for coordinating the care of individuals with IDD. This study examined family caregiver experiences using intake data from a national tertiary crisis intervention model designed for people with IDD and mental health needs. Caregivers (n = 488) completed the Family Experiences Interview Schedule. Less than half of families reported satisfaction with the mental health services received. Notable gaps were in crisis, night and weekend services, choice of services and providers, communication and coordination between providers, and specialized training. Experiences were worse for caregiving fathers and individuals with IDD with co-occurring chronic medical conditions.
Addressing Quality of Life of Children With Autism Spectrum Disorder and Intellectual Disability
Authors: Gómez Laura E. , Morán M. Lucía , Alcedo M. Ángeles , Arias Víctor B. , Verdugo Miguel-Ángel 
Published: October 2020

Abstract
Despite the advances on the assessment of quality of life, this concept is barely studied and is riddled with important limitations for those with autism spectrum disorder (ASD). This article is aimed at validating a questionnaire to assess quality of life of children with ASD and intellectual disability (ID). Based on the KidsLife Scale, geared toward people with ID, the most reliable items for those with ASD were selected. Study participants were 420 persons, from 4 to 21 years old. Results indicated that the KidsLife-ASD Scale measured eight intercorrelated domains, had good reliability, and exhibited adequate evidences of validity. KidsLife-ASD emerges as a helpful tool to guide person-centered planning addressed at improving quality of life.