bluuebunny/crossref_metadata_2025_split huggingface dataset:
Auditing service delivery in glaucoma clinics using visual field records: a feasibility study
Authors: Kelly Stephen R , Bryan Susan R , Sparrow John M , Crabb David P 
Published: August 2019

ObjectiveThis study aimed to demonstrate that large-scale visual field (VF) data can be extracted from electronic medical records (EMRs) and to assess the feasibility of calculating metrics from these data that could be used to audit aspects of service delivery of glaucoma care.Method and analysisHumphrey visual field analyser (HFA) data were extracted from Medisoft EMRs from five regionally different clinics in England in November 2015, resulting in 602 439 records from 73 994 people. Target patients were defined as people in glaucoma clinics with measurable and sustained VF loss in at least one eye (HFA mean deviation (MD) outside normal limits ≥2 VFs). Metrics for VF reliability, stage of VF loss at presentation, speed of MD loss, predicted loss of sight years (bilateral VF impairment) and frequency of VFs were calculated.ResultsOne-third of people (34.8%) in the EMRs had measurable and repeatable VF loss and were subject to analyses (n=25 760 patients). Median (IQR) age and presenting MD in these patients were 71 (61, 78) years and −6 (–10, –4) dB, respectively. In 19 264 patients with >4 years follow-up, median (IQR) MD loss was −0.2 (−0.8, 0.3) dB/year and median (IQR) intervals between VF examinations was 11 (8, 16) months. Metrics predicting loss of sight years and reliability of examinations varied between centres (p<0.001).ConclusionThis study illustrates the feasibility of assessing aspects of health service delivery in glaucoma clinics through analysis of VF databases. Proposed metrics could be useful for blindness prevention from glaucoma in secondary care centres.
Phase equilibria constraints on crystallization differentiation: insights into the petrogenesis of the normally zoned Buddusò Pluton in north-central Sardinia
Authors: Farina Federico , Mayne Matthew J. , Stevens Gary , Soorajlal Roxanne , Frei Dirk , Gerdes Axel 
Published: August 2019

Abstract

The Buddusò Pluton in NE Sardinia (Italy) is a normally zoned intrusion composed of three units with chemical composition ranging from hornblende-bearing tonalites (SiO
2
∼
65 wt%) to leucocratic monzogranites (SiO
2
∼
76 wt%). Zircon crystals in the pluton are dated at 292.2 ± 0.7 Ma and have
ε
Hf
values ranging from −4 to −8, with no systematic differences observed between the units. The pluton, which is isotopically homogeneous at the whole-rock scale in terms of Sr and Nd isotopes, shows textural evidence indicating local crystal–melt segregation. In this paper, we have implemented a novel approach based on path-dependent phase-equilibria modelling to test the hypothesis that the internal chemical variability of the pluton was generated by crystallization differentiation of a homogeneous parental magma. Our modelling indicates that this hypothesis is valid if the mechanism by which this occurs is compaction in a rheologically locked crystal-rich magma and if the separation occurs at 0.3 GPa from a tonalitic magma with water content >2 wt%. Finally, a subset of the magmatic enclaves in the pluton are considered to be autoliths, formed by the disruption of the compacted crystal mush and interaction between these cumulates and the felsic melt.
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method
Authors: Jiang Li , Song Zhuoran , Song Haiyue , Xu Chengwen , Xu Qiang , Jing Naifeng , Zhang Weifeng , Liang Xiaoyao 
Published: August 2019

Approximate computing is a promising design paradigm that introduces a new dimension—error—into the original design space. By allowing the inexact computation in error-tolerance applications, approximate computing can gain both performance and energy efficiency. A neural network (NN) is a universal approximator in theory and possesses a high level of parallelism. The emerging deep neural network accelerators deployed with NN-based approximator is thereby a promising candidate for approximate computing. Nevertheless, the approximation result must satisfy the users’ requirement, and the approximation result varies across different applications. We normally deploy an NN-based classifier to ensure the approximation quality. Only the inputs predicted to meet the quality requirement can be executed by the approximator. The potential of these two NNs, however, is fully explored; the involving of two NNs in approximate computing imposes critical optimization questions, such as two NNs’ distinct views of the input data space, how to train the two correlated NNs, and what are their topologies.
In this article, we propose a novel NN-based approximate computing framework with quality insurance. We advocate a co-training approach that trains the classifier and the approximator alternately to maximize the agreement of the two NNs on the input space. In each iteration, we coordinate the training of the two NNs with a judicious selection of training data. Next, we explore different selection policies and propose to select training data from multiple iterations, which can enhance the invocation of the approximate accelerator. In addition, we optimize the classifier by integrating a dynamic threshold tuning algorithm to improve the invocation of the approximate accelerator further. The increased invocation of accelerator leads to higher energy efficiency under the same quality requirement. We propose two efficient algorithms to explore the smallest topology of the NN-based approximator and the classifier to achieve the quality requirement. The first algorithm straightforward searches the minimum topology using a greedy strategy. However, the first algorithm incurs too much training overhead. To solve this issue, the second one gradually grows the topology of NNs to match the quality requirement by transferring the learned parameters. Experimental results show significant improvement on the quality and the energy efficiency compared to the existing NN-based approximate computing frameworks.
Racial/Ethnic Patterns of Young-Onset Noncardia Gastric Cancer
Authors: Holowatyj Andreana N. , Ulrich Cornelia M. , Lewis Mark A. 
Published: August 2019

Abstract
Increasing noncardia gastric cancer incidence rates among individuals age younger than 50 years have gained much attention, particularly as causes remain unknown. Using population-based NIH/NCI's Surveillance, Epidemiology, and End Results (SEER) program data from 2007 to 2015, multivariable logistic regression was used to quantify associations between race/ethnicity and clinicodemographic features among young-onset noncardia gastric cancer patients. A total of 2,872 individuals ages 20 to 49 years were diagnosed with primary noncardia gastric cancer. Age at diagnosis, insurance status, anatomic subsite, American Joint Committee on Cancer (AJCC) clinical stage, histologic type, tumor grade, surgery, and county-level smoking prevalence differed by race/ethnicity (all P ≤ 0.003). Compared with non-Hispanic whites, Hispanics were more likely to be diagnosed at younger ages [odds ratio (OR) = 0.97; 95% confidence intervals (CI), 0.95–0.99], on Medicaid/uninsured (OR = 3.83; 95% CI, 2.89–5.08), diagnosed with higher grade tumors (OR = 1.93; 95% CI, 1.32–2.84), and less likely to undergo surgery (OR = 0.62; 95% CI, 0.44–0.88) or to reside in counties with higher smoking prevalence (OR = 0.15; 95% CI, 0.11–0.21) after adjustment for sex, subsite, and histologic type. Asian/Pacific Islanders were more likely to be female (OR = 1.40; 95% CI, 1.04–1.88), and less likely to be diagnosed with metastatic disease (OR = 0.59; 95% CI, 0.37–0.95) or to reside in counties with higher smoking prevalence (OR = 0.13; 95% CI, 0.08–0.19). Approximately two in every five patients with young-onset noncardia gastric cancer are Hispanic. Further investigation into the molecular heterogeneity of young-onset noncardia gastric cancers by race/ethnicity to understand etiologies underlying this rising disease epidemic is warranted. This population-based cohort study sheds light that biological and environmental factors may partly underlie race/ethnicity-related differences in young-onset noncardia gastric cancer susceptibility and outcomes.
Human Rights and the Commons: Exploring Approaches to the Governance of Land and Natural Resources beyond Indigenous Peoples’ Rights. The Case of Peasants
Authors: Errico Stefania , Claeys Priscilla 
Published: August 2019

Abstract
Worldwide, 2.5 billion people today depend on lands managed through customary, community-based tenure systems. Although land and natural resources are recognised as essential elements for the realisation of many human rights, international human rights law does not recognise a human right to land, except for indigenous peoples. With the recent adoption of the UN Declaration on the Rights of Peasants and other people working in rural areas (undrop), the right to land is now recognised for new categories of rural workers. This article explores the governance of land and natural resources beyond the case of indigenous peoples’ rights. It argues that undrop contains key and mutually reinforcing elements of the human rights and collective action approaches to the governance of land and natural resources, and therefore has the potential to ensure the social and environmental ‘viability’ of the commons.
The Myth behind the Discrimination of Minorities in Syria and Egypt: The Economic Inclusion of Christians
Authors: Anouti Hani 
Published: August 2019

Abstract
This article investigates the economic status of Christians in Syria and Egypt during the era of Presidents Hosni Mubarak (1981–2011) and Hafez al-Assad (1971–2000). As they were discriminated against politically, socially, religiously and culturally, this article answers the puzzle of why the Christians in Syria and Egypt did not face any discrimination at the economic level in the era of the aforementioned authoritarian regimes.
Non-Codified Sharīʿah as a State Law Governing Islamic Banking and Finance in Jordan
Authors: Bashayreh Mohammad H. 
Published: August 2019

Abstract
This article examines how non-codified Sharīʿah governing Islamic banking and finance agreements should be applied to ensure certainty and predictability of the applicable rulings. The significance of this topic stems from the fact that the multiplicity of schools of Islamic law or fiqh has given rise to concerns about the certainty of the applicable rules. Here we set out these concerns through the lens of English courts and argue that non-codified Sharīʿah has the status of a law in Jordan regulating Islamic banking and finance agreements. It overrides legislation and excludes Statute Law that could invalidate agreements acceptable in Sharīʿah. Further, the concepts of maṣlahah and istiḥsān are explained as bases for the selection of applicable Sharīʿah rulings. This approach ensures certainty and is better than codifying rigid rules from Sharīʿah that could impede the development of Islamic banking and finance.
Slavery, Resistance(s) and Abolition in Early Nineteenth-Century Chile
Authors: Mareite Thomas 
Published: August 2019

Abstract
Chile’s abolition of slavery (1823) has commonly been framed within a self-congratulatory narrative that emphasizes the philanthropic role of republican elites and the peaceful nature of slave emancipation. The traditional narrative not only views abolition as an ideologically inspired gift from the elites, but also underscores Chile’s exceptionalism vis-à-vis other South American emancipation processes—in Chile, unlike in the rest of the continent, the eradication of slavery was supposedly both politically and socially insignificant. This article challenges two of this narrative’s assumptions: first, that consensus characterized the abolition of slavery in Chile, and second, that abolition was simply a philanthropic concession from the new nation’s republican elites. Instead, this study highlights how officials, slaveholders and enslaved people transformed slavery and its dismantlement into a contested issue. It also explores the proactive role that enslaved people played in undermining the institution of slavery throughout Chile, ultimately leading to its abolition.
The Global Influence of Cloud Optical Thickness on Terrestrial Carbon Uptake
Authors: Zhu Peiyun , Cheng Susan J. , Butterfield Zachary , Keppel-Aleks Gretchen , Steiner Allison L. 
Published: August 2019

Abstract
Clouds can modify terrestrial productivity by reducing total surface radiation and increasing diffuse radiation, which may be more evenly distributed through plant canopies and increase ecosystem carbon uptake (the “diffuse fertilization effect”). Previous work at ecosystem-level observational towers demonstrated that diffuse photosynthetically active radiation (PAR; 400–700 nm) increases with cloud optical thickness (COT) until a COT of approximately 10, defined here as the “low-COT regime.” To identify whether the low-COT regime also influences carbon uptake on broader spatial and longer temporal time scales, we use global, monthly data to investigate the influence of COT on carbon uptake in three land-cover types: shrublands, forests, and croplands. While there are limitations in global gross primary production (GPP) products, global COT data derived from Moderate Resolution Imaging Spectroradiometer (MODIS) reveal that during the growing season tropical and subtropical regions more frequently experience a monthly low-COT regime (&gt;20% of the time) than other regions of the globe. Contrary to ecosystem-level studies, comparisons of monthly COT with monthly satellite-derived solar-induced chlorophyll fluorescence and modeled GPP indicate that, although carbon uptake generally increases with COT under the low-COT regime, the correlations between COT and carbon uptake are insignificant (p &gt; 0.05) in shrublands, forests, and croplands at regional scales. When scaled globally, vegetated regions under the low-COT regime account for only 4.9% of global mean annual GPP, suggesting that clouds and their diffuse fertilization effect become less significant drivers of terrestrial carbon uptake at broader spatial and temporal scales.
The Local Biophysical Response to Land-Use Change in HadGEM2-ES
Authors: Robertson E. 
Published: August 2019

AbstractThe biophysical response to a local change in land use is calculated using the HadGEM2-ES Earth system model. The biophysical temperature response is found to be a small residual of three large opposing flux responses: available energy, sensible heat, and latent heat. Deforestation reduces available energy, which is balanced by a reduction in heat lost via turbulent fluxes. However, the changes in turbulent heat fluxes are not simply a response to the reduction in available energy; rather, they are a direct response to land-use change, caused by reduced roughness length and, in the tropics, an increase in the Bowen ratio. Evaluation against satellite-derived observational datasets shows that in response to deforestation, the model has too much albedo-driven cooling and too little latent-heat-driven warming, leading to a large cooling bias.
The Impact of Initial Condition and Warm Conveyor Belt Forecast Uncertainty on Variability in the Downstream Waveguide in an ECWMF Case Study
Authors: Berman Jeremy D. , Torn Ryan D. 
Published: August 2019

AbstractPerturbations to the potential vorticity (PV) waveguide, which can result from latent heat release within the warm conveyor belt (WCB) of midlatitude cyclones, can lead to the downstream radiation of Rossby waves, and in turn high-impact weather events. Previous studies have hypothesized that forecast uncertainty associated with diabatic heating in WCBs can result in large downstream forecast variability; however, these studies have not established a direct connection between the two. This study evaluates the potential impact of latent heating variability in the WCB on subsequent downstream forecasts by applying the ensemble-based sensitivity method to European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble forecasts of a cyclogenesis event over the North Atlantic. For this case, ensemble members with a more amplified ridge are associated with greater negative PV advection by the irrotational wind, which is associated with stronger lower-tropospheric southerly moisture transport east of the upstream cyclone in the WCB. This transport is sensitive to the pressure trough to the south of the cyclone along the cold front, which in turn is modulated by earlier differences in the motion of the air masses on either side of the front. The position of the cold air behind the front is modulated by upstream tropopause-based PV anomalies, such that a deeper pressure trough is associated with a more progressive flow pattern, originating from Rossby wave breaking over the North Pacific. Overall, these results suggest that more accurate forecasts of upstream PV anomalies and WCBs may reduce forecast uncertainty in the downstream waveguide.
Rhinotillexomania Manifesting as Empty Nose Syndrome
Authors: Tranchito Eve , Chhabra Nipun 
Published: August 2019

Objectives: To highlight a severe case of rhinotillexomania (compulsive nasal picking) and its potential to manifest as empty nose syndrome (ENS). Methods: A single case report with the presentation and management of a patient with severe rhinotillexomania who presented with chronic obstructive symptoms. We review the current literature on rhinotillexomania and ENS. Results: This patient’s manifestations mimic the obstructive symptoms of ENS, despite widely patent nasal passages. Conclusion: This is the first report of rhinotillexomania manifesting with features of ENS.
Exoscore: A Design Tool to Evaluate Factors Associated With Technology Acceptance of Soft Lower Limb Exosuits by Older Adults
Authors: Shore Linda , Power Valerie , Hartigan Bernard , Schülein Samuel , Graf Eveline , de Eyto Adam , O’Sullivan Leonard 
Published: August 2019

Objective This pilot study proposed and performs initial testing with Exoscore, a design evaluation tool to assess factors related to acceptance of exoskeleton by older adults, during the technology development and testing phases. Background As longevity increases and our aging population continues to grow, assistive technologies such as exosuits and exoskeletons can provide enhanced quality of life and independence. Exoscore is a design and prototype stage evaluation method to assess factors related to perceptions of the technology, the aim being to optimize technology acceptance. Method In this pilot study, we applied the three-phase Exoscore tool during testing with 11 older adults. The aims were to explore the feasibility and face validity of applying the design evaluation tool during user testing of a prototype soft lower limb exoskeleton. Results The Exoscore method is presented as part of an iterative design evaluation process. The method was applied during an exoskeleton research and development project. The data revealed the aspects of the concept design that rated favorably with the users and the aspects of the design that required more attention to improve their potential acceptance when deployed as finished products. Conclusion Exoscore was effectively applied to three phases of evaluation during a testing session of a soft exoskeleton. Future exoskeleton development can benefit from the application of this design evaluation tool. Application This study reveals how the introduction of Exoscore to exoskeleton development will be advantageous when assessing technology acceptance of exoskeletons by older adults.
A Prediction Market-Based Gamified Approach to Enhance Knowledge Sharing in Organizations
Authors: Mizuyama Hajime , Yamaguchi Seiyu , Sato Mizuho 
Published: August 2019

Background. Knowledge sharing among the members of an organization is crucial for enhancing the organization’s performance. However, knowing how to motivate and direct members to effectively and efficiently share their relevant private knowledge concerning the organization’s activities is not entirely a straightforward matter. Aim. This study aims to propose a gamified approach not only for motivating truthful sharing and collective evaluation of knowledge among the members of an organization but also for properly directing those actions so as to maximize the usefulness of the shared knowledge. A case study is also conducted to understand how the proposed approach works in a live business scenario. Method. A prediction market game on a binary event on whether the specified activity will be completed successfully is devised. The game utilizes an original comment aggregation and evaluation system through which relevant knowledge can be shared verbally and evaluated collectively by the players themselves. Players’ behavior is driven toward a desirable direction with the associated incentive framework realized by three game scores. Results. The proposed gamified approach was implemented as a web application and verified with a laboratory experiment. The game was also played by four participants who deliberated on an actual sales proposal in a real company. It was observed that the various valuable knowledge elements that were successfully collected from the participants could be utilized for refining the sales proposal. Conclusions. The game induced motivation through gamification, and some of the designed game scores worked in directing the players’ behavior as desired. The players learned from others’ comments, which brought about a snowball effect and enriched collective knowledge. Future research directions include how to transform this knowledge into an easy-to-comprehend representation.
Effects of atipamezole dosage and timing of administration on recovery time and quality in cats following injectable anaesthesia incorporating ketamine
Authors: Bruniges Natalie , Yates David 
Published: August 2019

Objectives The aim of this study was to establish the optimum dosage and timing of administration of atipamezole in cats undergoing general anaesthesia incorporating ketamine to provide the shortest recovery possible without unacceptably compromising recovery quality. Methods In total, 128 healthy male cats (age range 2–108 months, weight range 0.56–5.22 kg) admitted for castration were randomly allocated to groups of 32. Anaesthesia was induced with 60 mg/m2 ketamine, 180 µg/m2 buprenorphine, 3 mg/m2 midazolam and 600 µg/m2 medetomidine intramuscularly (IM). Cats received 600 µg/m2 (groups 1ATI20 and 1ATI40) or 1.5 mg/m2 (groups 2.5ATI20 and 2.5ATI40) atipamezole IM either 20 (groups 1ATI20 and 2.5ATI20) or 40 mins (groups 1ATI40 and 2.5ATI40) after the ‘quad’. Preparation time, surgical time, auricular temperature, times to sternal recumbency and first standing, and recovery quality score were recorded. Data were analysed using ANOVA, Kruskal–Wallis, Mann–Whitney U-tests and χ2 tests. Statistical significance was deemed to be P ⩽0.05. Results Groups did not differ significantly in preparation or surgical time. Auricular temperature decreased significantly over time ( P <0.01) but did not differ between atipamezole treatment groups. Time to sternal recumbency in group 2.5ATI20 (52.9 ± 22.3 mins) was faster than group 1ATI20 (65.7 ± 24.7 mins) ( P ⩽0.05), but there were no significant differences between other groups. Time to first standing and recovery quality scores did not differ significantly between groups. Minimal adverse effects were seen. Conclusions and relevance Atipamezole administration after 20 mins did not reduce recovery time but neither was recovery quality adversely affected compared with when it was administered after 40 mins, following datasheet recommendations with concurrent ketamine administration. The results of this study also suggest that an atipamezole:medetomidine dose ratio of 2.5:1 is more effective than 1:1 in reducing recovery time, regardless of timing of administration, although this only reached statistical significance for time to sternal recumbency when atipamezole was administered after 20 mins.