bluuebunny/crossref_metadata_2025_split huggingface dataset:
Renal status in elderly patients with type 2 diabetes
Authors: Takamatsu Kazunaga 
Published: September 2019

Abstract

Background
In Japan, there has been a remarkable increase in the incidence of type 2 diabetes in elderly patients. This study aimed to clarify the renal status in elderly patients with type 2 diabetes.

Participants and methods
There were 978 patients with type 2 diabetes who were classified into three groups: Group 1 (aged < 65 years of age), Group 2 (65–74 years of age), and Group 3 (≥ 75 years of age). Estimated glomerular filtration rate (eGFR) and urinary albumin level were measured. Moreover, the frequencies of each stage of chronic kidney disease for each group were determined, and differences among the three groups were analyzed.

Results
The mean eGFR in Group 3 was 63.2 ± 19.1 mL/min/1.73 m2, which was lower than those in Group 1 (83.3 ± 22.8 mL/min/1.73 m2) and Group 2 (72.0 ± 19.4 mL/min/1.73 m2). The percentage of low eGFR (< 60 mL/min/1.73 m2) with normo- and microalbuminuria in Group 3 was 31.9%, which was higher than the percentages observed in Group 1 (7.1%) or Group 2 (16.1%). Diabetic macroangiopathy was frequently observed in these patients. The frequency of low eGFR with proteinuria was 10.2%. In this group, diabetic micro- and macroangiopathies were frequently noted.

Conclusion
In elderly patients with type 2 diabetes, renal dysfunction is characterized by low eGFR with normo- and microalbuminuria. In this group, macroangiopathy was more common than microangiopathy. The elderly patients with diabetes with low eGFR with proteinuria frequently had micro- and macroangiopathies.
Two worlds apart? Export demand shocks and domestic sales
Authors: Erbahar Aksel 
Published: September 2019

AbstractThis paper, using a rich dataset on Turkish firms for the 2005–2014 period, analyzes the relationship between firm-product sales in different markets to identify the channels that link exports and domestic sales. First, I use an instrumental variables strategy and establish that an exogenous 10% rise in exports increases a firm’s domestic sales by 2.6% on average. Second, I do an analogous exercise at the firm-product level, and find coefficients that are almost twice as large, hinting to the importance of product-specific scale effects. Moreover, I propose a novel approach to isolate the production versus non-production factors that influence firm dynamics by focusing on non-produced (or carry-along trade, CAT) exports. I find that CAT exports also affect domestic sales positively, suggesting that spillovers at the firm level such as the easing of liquidity constraints play a role. In the process, I reveal that export demand shocks influence firms’ expansion in terms of employment, wages, and investment. Finally, my quantification exercise indicates that export demand shocks explain about 1.4% of the annual variation in Turkish domestic sales on average. This figure, which shows heterogeneities at the sector level, rises to 4.6% during the Great Recession in 2009, when demand in Turkey’s key export partners collapsed.
Recovery of High-Purity MnO2 from the Acid Leaching Solution of Spent Li-Ion Batteries
Authors: Peng Chao , Chang Cong , Wang Zulin , Wilson Benjamin P. , Liu Fupeng , Lundström Mari 
Published: September 2019

Abstract
Hydrometallurgical recycling processes for spent Li-ion batteries (LIBs) often produce pregnant leach solutions (PLS) that contain metals like Co, Ni, Mn, Li, Al, etc. Although significant research has focused on the recovery of the most valuable materials (e.g., Co, Ni, Li), the reclamation of Mn from PLS is often neglected. In this study, recovery of Mn via a multi-step process based on solvent extraction with di-2-ethylhexyl phosphoric acid, scrubbing, stripping and oxidative Mn precipitation has been undertaken. The results demonstrate that more than 99% of Mn can be successfully recovered as a high-purity MnO2 product (purity > 99.5%) with almost no loss of Co, Ni and Li. In addition, the behavior of other metal elements present in the PLS were also studied in detail. Overall, this study investigates the fundamentals of Mn recovery from the complicated PLS of LIBs waste and outlines industrial process feasibility based on known unit process steps.
Prediction of the sliding type and critical factor of safety in homogeneous finite slopes
Authors: Salmasi Farzin , Pradhan Biswajeet , Nourani Bahram 
Published: September 2019

AbstractIn this paper, the effect of soil material parameters including soil specific weight (γ), cohesion (C), angle of internal friction ($$\emptyset$$∅), and geometric parameter of slope including angle with the horizontal (β) for a constant slope height (H) on factor of safety (Fs) was investigated.Fswas considered in two scenarios: (1) slope with dry condition, and (2) with steady-state saturated condition that comprises water level drawdown circumstances. In addition, the type of slip circle was also investigated. For this purpose, theSLOPE/Wsoftware as a subgroup ofGeo-Studiosoftware was implemented. Results showed that decreasing of water table level and omitting the hydrostatic pressure on the slope consequently would result in safety factor decrement. Comparison of the plane and circular failure surfaces showed that plane failure method produced good results for near-vertical slopes only. Determination of slip type showed that for state (30° < β < 45°), the three types of failure circles (toe, slope or midpoint circle) may occur. For state (45° < β < 60°), two modes of failure may occur: midpoint circle and toe circle. For state (β > 60°), the mode of failure circle is only toe circle. Linear and nonlinear regression equations were obtained for estimation of slope safety factor.
Towards a Theory of Explanations for Human–Robot Collaboration
Authors: Sridharan Mohan , Meadows Ben 
Published: September 2019

AbstractThis paper makes two contributions towards enabling a robot to provide explanatory descriptions of its decisions, the underlying knowledge and beliefs, and the experiences that informed these beliefs. First, we present a theory of explanations comprising (i) claims about representing, reasoning with, and learning domain knowledge to support the construction of explanations; (ii) three fundamental axes to characterize explanations; and (iii) a methodology for constructing these explanations. Second, we describe an architecture for robots that implements this theory and supports scalability to complex domains and explanations. We demonstrate the architecture’s capabilities in the context of a simulated robot (a) moving target objects to desired locations or people; or (b) following recipes to bake biscuits.
Distributions of Human Exposure to Ozone During Commuting Hours in Connecticut Using the Cellular Device Network
Authors: Gilani Owais , Urbanek Simon , Kane Michael J. 
Published: September 2019

Abstract
Epidemiologic studies have established associations between various air pollutants and adverse health outcomes for adults and children. Due to high costs of monitoring air pollutant concentrations for subjects enrolled in a study, statisticians predict exposure concentrations from spatial models that are developed using concentrations monitored at a few sites. In the absence of detailed information on when and where subjects move during the study window, researchers typically assume that the subjects spend their entire day at home, school, or work. This assumption can potentially lead to large exposure assignment bias. In this study, we aim to determine the distribution of the exposure assignment bias for an air pollutant (ozone) when subjects are assumed to be static as compared to accounting for individual mobility. To achieve this goal, we use cell-phone mobility data on approximately 400,000 users in the state of Connecticut, USA during a week in July 2016, in conjunction with an ozone pollution model, and compare individual ozone exposure assuming static versus mobile scenarios. Our results show that exposure models not taking mobility into account often provide poor estimates of individuals commuting into and out of urban areas: the average 8-h maximum difference between these estimates can exceed 80 parts per billion (ppb). However, for most of the population, the difference in exposure assignment between the two models is small, thereby validating many current epidemiologic studies focusing on exposure to ozone.
Supplementary materials accompanying this paper appear online.
Non-typeable Haemophilus influenzae-associated early pregnancy loss: an emerging neonatal and maternal pathogen
Authors: Cevik Muge , Moncayo-Nieto Olga L. , Evans Margaret J. 
Published: September 2019

Abstract

Objectives
There is increasing evidence indicating an association between invasive non-typeable Haemophilus influenzae (NTHi) infection in pregnancy and early pregnancy loss. As the diagnosis relies on microbiological investigation of post-mortem placental and foetal samples, a significant proportion of NTHi-related pregnancy loss remains unrecognised. To better characterise NTHi in septic abortion, we report NTHi cases associated with early pregnancy loss.

Methods
We reviewed all post-mortems at <24 weeks gestation with histologically proven acute chorioamnionitis on placental histology and enrolled cases with at least one matched foetal and placental sample culture positive for NTHi. The study was approved by the NHS Lothian Caldicott Guardian.

Results
In our cohort, invasive NTHi has accounted for 20% of infections associated with early pregnancy loss prior to 24 weeks gestation. All patients were young and healthy pregnant women at < 20 weeks' gestation who presented with abdominal pain, PV bleed /discharge and were septic at the time of presentation. One patient with previous history of miscarriage who presented with cervical incompetence had more severe pathology suggestive of early intrauterine pneumonia.

Conclusion
The burden of invasive NTHi disease in early pregnancy loss is likely to be much larger than currently recognised. NTHi should be considered in pregnant women presenting with abdominal pain and PV bleed/discharge in whom clinical signs of sepsis are present. Active surveillance should be considered in this patient group including septic abortion to capture the true prevalence of this emerging pathogen to inform preventative and therapeutic approaches.
Boosting Sodium Storage of Fe1−xS/MoS2 Composite via Heterointerface Engineering
Authors: Chen Song , Huang Shaozhuan , Hu Junping , Fan Shuang , Shang Yang , Pam Mei Er , Li Xiaoxia , Wang Ye , Xu Tingting , Shi Yumeng , Yang Hui Ying 
Published: September 2019

Abstract
Improving the cycling stability of metal sulfide-based anode materials at high rate is of great significance for advanced sodium ion batteries. However, the sluggish reaction kinetics is a big obstacle for the development of high-performance sodium storage electrodes. Herein, we have rationally engineered the heterointerface by designing the Fe1−xS/MoS2 heterostructure with abundant “ion reservoir” to endow the electrode with excellent cycling stability and rate capability, which is proved by a series of in and ex situ electrochemical investigations. Density functional theory calculations further reveal that the heterointerface greatly decreases sodium ion diffusion barrier and facilitates charge-transfer kinetics. Our present findings not only provide a deep analysis on the correlation between the structure and performance, but also draw inspiration for rational heterointerface engineering toward the next-generation high-performance energy storage devices.
Multidomain intervention and/or omega‐3 in nondemented elderly subjects according to amyloid status
Authors: Delrieu Julien , Payoux Pierre , Carrié Isabelle , Cantet Christelle , Weiner Michael , Vellas Bruno , Andrieu Sandrine 
Published: September 2019

AbstractIntroductionThe Multidomain Alzheimer Preventive Trial (MAPT) assessed the efficacy of omega‐3 fatty acid supplementation, a multidomain intervention (MI), or a combination of both on cognition. Impact according to cerebral amyloid status was evaluated by PET scan.MethodsParticipants were nondemented and had memory complaints, limitation in one instrumental activity of daily living, or slow gait. The primary outcome was a change from baseline in 36 months measured with a cognitive composite Z score.ResultsNo effect was observed on cognition in the negative amyloid group (n = 167). In the positive amyloid group (n = 102), we observed a difference of 0.708 and 0.471 in the cognitive composite score between the MI plus omega‐3 fatty acid group, the MI alone group, and the placebo group, respectively.DiscussionMI alone or in combination with omega‐3 fatty acids was associated with improved primary cognitive outcome in subjects with positive amyloid status.Trial RegistrationClinicalTrials.gov Identifier: NCT01513252.
Broad-scale informed consent: A survey of the CTSA landscape
Authors: Chandler Redonna , Brady Kathleen T. , Jerome Rebecca N. , Eder Milton , Rothwell Erin , Brownley Kimberly A. , Harris Paul A. 
Published: September 2019

AbstractIntroduction:Research opportunities associated with the proliferation of the electronic health record (EHR), big data initiatives, and innovative approaches to trial design can present challenges for obtaining and documenting informed consent. Broad-scale informed consent (a term used herein to describe institutional models, rather than the Common Rule’s strict regulatory definition for “broad consent”) may facilitate the use of existing data and samples and speed the pace of research by minimizing barriers to consent. We explored the use of broad-scale informed consent within the Clinical Translational Science Award (CTSA) Program Network.Methods:We surveyed CTSA Hubs concerning policies, practices, experiences, and needs within three domains of broad-scale informed consent: (1) participant recontact; (2) biospecimens; and (3) clinical data sharing.Results:Of 61 CTSA Hubs surveyed, 37 (61%) indicated ongoing work related to at least 1 domain of broad-scale informed consent; 18 Hubs (30%) reported work in all 3 domains. The EHR predominated as the implementation system across all three domains. Research and IT leadership and the Institutional Review Board were most commonly endorsed as institutional drivers, while systems/technical issues and impact on clinical workflow were the most commonly reported barriers.Conclusions:While survey results indicate considerable variability in the implementation of broad-scale informed consent across the CTSA consortium, it is clear that all CTSA Hubs are actively considering policy and process related to these concepts. Next steps cluster within three areas: training and workforce development, streamlined policies and templates, and implementation strategies that facilitate integration into clinical workflow.
Bayesian dynamic modeling and monitoring of network flows
Authors: Chen Xi , Banks David , West Mike 
Published: September 2019

AbstractIn the context of a motivating study of dynamic network flow data on a large-scale e-commerce website, we develop Bayesian models for online/sequential analysis for monitoring and adapting to changes reflected in node–node traffic. For large-scale networks, we customize core Bayesian time series analysis methods using dynamic generalized linear models (DGLMs). These are integrated into the context of multivariate networks using the concept of decouple/recouple that was recently introduced in multivariate time series. This method enables flexible dynamic modeling of flows on large-scale networks and exploitation of partial parallelization of analysis while maintaining coherence with an over-arching multivariate dynamic flow model. This approach is anchored in a case study on Internet data, with flows of visitors to a commercial news website defining a long time series of node–node counts on over 56,000 node pairs. Central questions include characterizing inherent stochasticity in traffic patterns, understanding node–node interactions, adapting to dynamic changes in flows and allowing for sensitive monitoring to flag anomalies. The methodology of dynamic network DGLMs applies to many dynamic network flow studies.
Statistical evaluation of spectral methods for anomaly detection in static networks
Authors: Komolafe Tomilayo , Quevedo A. Valeria , Sengupta Srijan , Woodall William H. 
Published: September 2019

AbstractThe topic of anomaly detection in networks has attracted a lot of attention in recent years, especially with the rise of connected devices and social networks. Anomaly detection spans a wide range of applications, from detecting terrorist cells in counter-terrorism efforts to identifying unexpected mutations during ribonucleic acid transcription. Fittingly, numerous algorithmic techniques for anomaly detection have been introduced. However, to date, little work has been done to evaluate these algorithms from a statistical perspective. This work is aimed at addressing this gap in the literature by carrying out statistical evaluation of a suite of popular spectral methods for anomaly detection in networks. Our investigation on the statistical properties of these algorithms reveals several important and critical shortcomings that we make methodological improvements to address. Further, we carry out a performance evaluation of these algorithms using simulated networks and extend the methods from binary to count networks.
Carbohydrate and sodium intake and physical activity interact with genetic risk scores of four genetic variants mainly related to lipid metabolism to modulate metabolic syndrome risk in Korean middle-aged adults
Authors: Zhou Jun-Yu , Song Mi Young , Park Sunmin 
Published: September 2019

AbstractMetabolic syndrome (MetS) risk is influenced by genetic and environmental factors. The present study explored genetic risk scores (GRS) of genetic variants that influence the MetS and the effect of interactions between GRS and nutrient intake on MetS risk. The genetic variants that influence MetS risk were selected by genome-wide association study after adjusting for age, sex, area of residence and BMI in 8840 middle-aged adults. GRS were calculated by summing the risk alleles of the selected SNP and divided into low (0–1), medium (2–3) and high (4–7) risk groups, and the relationships between the MetS and GRS were determined by logistic regression after adjusting covariates involved in MetS risk. We also analysed the interaction between GRS and lifestyles. Four genetic variants (APOA5_rs651821, EFCAB4B_rs4766165, ZNF259_rs2160669 and APOBEC1_rs10845640) were selected because they increased MetS risk after adjusting for covariates. Individuals with medium-GRS and high-GRS alleles had a higher MetS risk by 1·48- and 2·23-fold, respectively, compared with those with low-GRS after adjusting for covariates. The increase in MetS risk was mainly related to serum TAG and HDL-cholesterol concentrations. The GRS had an interaction with carbohydrate (CHO) and Na intakes and daily physical activities for MetS risk. In conclusion, Asian middle-aged adults with high-GRS alleles were at increased MetS risk mainly due to dyslipidaemia. High daily physical activity (≥1 h moderate activity per d) reduced the MetS risk but a low-CHO diet (<65 % of total energy intake) increased the risk in carriers with high-GRS alleles. Low Na intake (<1·6 g Na intake/4 MJ) did not decrease its risk.
Does Ethnic Inequality Increase State Repression?
Authors: Ye Fangjin , Han Sung Min 
Published: September 2019

AbstractWe argue that economic inequality between ethnic groups increases state repression. We contend that a high level of ethnic inequality fuels distributional conflicts between poor and rich ethnic groups. It also increases the salience of ethnic identity and promotes ethnic mobilization to challenge the status quo. This between-group tension creates collective grievances for ethnic groups, mounts challenges to incumbent governments and increases perceived threats to governments. The greater the perceived threats, the more likely that governments will employ coercive measures. We further argue that the impact of ethnic inequality on state repression is moderated by the level of democracy. Various institutional mechanisms in democracies increase the costs of repression, reducing leaders’ incentives to employ coercive measures, even when facing high levels of ethnic inequality. Evidence from 152 countries between 1992 and 2011 supports our arguments.
Materiality and Classics: (Re) Turning to the Material
Authors: Canevaro Lilah Grace 
Published: September 2019

AbstractIn this article I review 11 books published since 2010 that bring the ‘material turn’ to classics. Some start from emic ancient perspectives on matter and materiality; others take their cue from current theoretical models such as those of the new materialisms. All offer new insights into our relationship with the material world and consider the material object as active within different paradigms. In reviewing these important volumes together, I question entrenched boundaries: from those between (sub-)disciplines to those between human and non-human agents. I explore the material turn not as an isolated phenomenon, but, first, as a cyclical ‘re’-turn and, second, as an integrated set of ideas incorporating (to name but a few strands) aesthetics, cognitive humanities, embodiment, affect and the senses. The books reviewed range from literary studies to archaeology to art history to material culture to heritage. Taken together, they set new directions for classics, and indeed for our thinking about our place in the world.
The value of procalcitonin in systemic inflammatory response syndrome after open-heart surgery for CHD
Authors: Basitha Kuntum , Sukardi Rubiana , Farida Soenarto Ratna , Wardoyo Suprayitno 
Published: September 2019

AbstractBakground:Systemic inflammatory response syndrome, which is marked by fever, is a possible complication after open-heart surgery for CHD. The inflammatory response following the use of cardiopulmonary bypass shows similar clinical signs with sepsis. Therefore serial measurements of procalcitonin, an early infection marker, can be helpful to differentiate between sepsis and systemic inflammatory response syndrome.Objectives:To evaluate serial levels of procalcitonin in children who underwent open-heart surgery for cyanotic and acyanotic CHD, and identify factors associated with elevated level of procalcitonin.Methods:Children and infants who had open-heart surgery and showed fever within 6 hours after surgery were recruited. Procalcitonin levels were serially measured along with leukocyte and platelet count. Other data were also recorded, including diagnosis, age, body weight, axillary temperature, aortic clamp time, bypass time, duration of mechanical ventilation, risk adjustment for congenital heart surgery score-1, and length of stay in Cardiac ICU. The patients were categorised into cyanotic and acyanotic CHD groups.Results:High mean of procalcitonin level suggested the presence of bacterial infection. Cyanotic CHD group had significantly higher mean of procalcitonin level compared to acyanotic CHD group in the first two measurements. Both groups had no leukocytosis, though platelet count results were significantly different between the two groups. There was no significant difference of procalcitonin level observed in culture results and adverse outcomes.Conclusion:Serial procalcitonin measurement can be helpful to determine the cause of fever. Meanwhile other conventional markers such as leukocyte and platelet should be assessed thoroughly.