bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Ethnography of a Community's Re-appropriation of Yārsān in Cyberspace: The Facebook Phenomenon
Authors: Hosseini Seyedeh Behnaz 
Published: December 2017

This article presents a nuanced approach for qualitative research on the Internet, based on the synthesis of qualitative data-gathering methodologies both online and offline, and contributes to recent knowledge of changing practices within Yārsāni communities around the world. Yārsān is a religious belief of Indo-Iranian origin that traces back to Hooraman, a region in Iranian Kurdistan. Yārsān thought, which Islamic Shiite authorities treat as heretical, has extensively used processes of adaptation and strategies of survival throughout the course of its history.
The research presented here makes a case for the significance of the Internet and, more specifically, social network sites in connecting Yārsānis in their homelands and in the diaspora. How does Facebook provide a new space for this minority group to disclose their beliefs to the world, thereby reassessing the clandestine nature of their religion, which is a tenet required by traditional belief and defined by their adage, “don’t tell the secret”?
A new species of Brachychalcinus (Characiformes: Characidae) from the rio Xingu basin, Serra do Cachimbo, Brazil
Authors: GARCIA-AYALA JAMES R. , OHARA WILLIAN M. , PASTANA MURILO N. L. , BENINE RICARDO C. 
Published: December 2017

Brachychalcinus reisi, a new species of characid fish, is described from the rio Curuá, tributary of rio Iriri, rio Xingu basin, Serra do Cachimbo, Pará State, Brazil. The new species can be distinguished from its congeners by the presence of a series of longitudinal black wavy stripes on the entire body and by a lower number of longitudinal scale rows between dorsal-fin origin and lateral line (7–8 vs. 8–12). Additionally, the new species differs from B. copei, B. parnaibae, and B. retrospina by the lower number of branched dorsal-fin rays (9 vs.10). This is the first description of a new species of the subfamily since the revisionary study of Stethaprioninae, published almost 30 years ago.
Mesoscale Simulations of Australian Direct Normal Irradiance, Featuring an Extreme Dust Event
Authors: Mukkavilli S. K. , Prasad A. A. , Taylor R. A. , Troccoli A. , Kay M. J. 
Published: December 2017

AbstractDirect normal irradiance (DNI) is the main input for concentrating solar power (CSP) technologies—an important component in future energy scenarios. DNI forecast accuracy is sensitive to radiative transfer schemes (RTSs) and microphysics in numerical weather prediction (NWP) models. Additionally, NWP models have large regional aerosol uncertainties. Dust aerosols can significantly attenuate DNI in extreme cases, with marked consequences for applications such as CSP. To date, studies have not compared the skill of different physical parameterization schemes for predicting hourly DNI under varying aerosol conditions over Australia. The authors address this gap by aiming to provide the first Weather and Forecasting (WRF) Model DNI benchmarks for Australia as baselines for assessing future aerosol-assimilated models. Annual and day-ahead simulations against ground measurements at selected sites focusing on an extreme dust event are run. Model biases are assessed for five shortwave RTSs at 30- and 10-km grid resolutions, along with the Thompson aerosol-aware scheme in three different microphysics configurations: no aerosols, fixed optical properties, and monthly climatologies. From the annual simulation, the best schemes were the Rapid Radiative Transfer Model for global climate models (RRTMG), followed by the new Goddard and Dudhia schemes, despite the relative simplicity of the latter. These top three RTSs all had 1.4–70.8 W m−2 lower mean absolute error than persistence. RRTMG with monthly aerosol climatologies was the best combination. The extreme dust event had large DNI mean bias overpredictions (up to 4.6 times), compared to background aerosol results. Dust storm–aware DNI forecasts could benefit from RRTMG with high-resolution aerosol inputs.
Characteristics of Sundowner Winds near Santa Barbara, California, from a Dynamically Downscaled Climatology: Environment and Effects near the Surface
Authors: Smith Craig M. , Hatchett Benjamin J. , Kaplan Michael L. 
Published: December 2017

AbstractSundowners are downslope windstorms that occur over the southern slopes of the east–west-trending Santa Ynez range in Santa Barbara County, California. In the past, many extreme fires in the area, including the Painted Cave, Montecito Tea, Jesusita, and Sherpa fires, have occurred during sundowner events. A high-resolution 11-yr dynamically downscaled climatology was produced using a numerical weather prediction model in order to elucidate the general dynamical characteristics of sundowners. The downscaled climatology is validated with observations during the 2016 Sherpa fire. A sundowner index (SI) is computed from the climatology that quantifies the magnitude of adiabatic warming and northerly (downslope) wind component during sundowner events. The SI allows for the classification of historical events into categories of various strengths. The primary characteristics of strong sundowners from this classification include 1) internal gravity wave breaking over the Santa Ynez range, 2) initiation in the western Santa Ynez range with eastward progression over the course of a day, 3) a maximum likelihood of occurrence in April and May near 2000 Pacific standard time, and 4) a limited downstream extent for most events, such that the long-term historical weather station, Santa Barbara airport, often does not experience moderate events. Analysis of an operational forecast rubric composed of the surface pressure difference from Bakersfield to Santa Barbara indicates that this rubric is not skillful. However, offshore pressure gradients are skillful and are related to the strong northwesterly alongshore jet. The findings presented herein can be used to provide guidance for fire weather forecasts and support resource allocation during fire suppression efforts.
A Cross-Spectral Approach to Measure the Error Budget of the SWOT Altimetry Mission over the Ocean
Authors: Ubelmann Clément , Dibarboure Gérald , Dubois Pierre 
Published: December 2017

AbstractThe future Surface Water Ocean Topography (SWOT) mission aims to observe water bodies and short-scale ocean surface topography with unprecedented spatial resolution and accuracy. However, the topography estimates will be contaminated by errors of various signals (geophysical and instrumental) featuring, in large part, strong dependencies on the radar range direction (cross track). This study shows that a cross-spectral analysis performed along track for all cross-track combinations can detect most of these errors and can provide estimates of their power spectral densities. From a series of outputs of the SWOT science team simulator, a cross-spectral method was developed to simulate the estimation of the error budget compared to the actual error budget in the simulator. The study determined that the error spectra of the dominant terms can be estimated at very high accuracy. Beyond the obvious applications for the future SWOT data calibration and validation, the spectral estimates of the error budget will have applications for state estimate problems using SWOT data.
Improving Variational Data Assimilation through Background and Observation Error Adjustments
Authors: Mattern Jann Paul , Edwards Christopher A. , Moore Andrew M. 
Published: December 2017

Abstract
A procedure to objectively adjust the error covariance matrices of a variational data assimilation system is presented. It is based on popular diagnostics that utilize differences between observations and prior and posterior model solutions at the observation locations. In the application to a data assimilation system that combines a three-dimensional, physical–biogeochemical ocean model with large datasets of physical and chlorophyll a observations, the tuning procedure leads to a decrease in the posterior model-observation misfit and small improvements in short-term forecasting skill. It also increases the consistency of the data assimilation system with respect to diagnostics, based on linear estimation theory, and reduces signs of overfitting. The tuning procedure is easy to implement and only relies on information that is either prescribed to the data assimilation system or can be obtained from a series of short data assimilation experiments. The implementation includes a lognormal representation for biogeochemical variables and associated modifications to the diagnostics. Furthermore, the effect of the length of the observation window (number and distribution of observations) used to compute the diagnostics and the effect of neglecting model dynamics in the tuning procedure are examined.
Bag Valve Mask Ventilation as a Perceptual-Cognitive Skill
Authors: Mumma Joel M. , Durso Francis T. , Dyes Michelle , dela Cruz Rogelio , Fox Valerie P. , Hoey Mary 
Published: December 2017

Objective This study used a high-fidelity infant mannequin to examine the relationship between the quality of bag valve mask ventilation (BVMV) and how providers of varying levels of experience use visual feedback (e.g., electronic vital signs) to guide their performance. Background BVMV is a common and critical procedure for managing pediatric respiratory emergencies. However, providers do not consistently deliver effective BVMV. Efforts to improve BVMV have ignored the question of how providers effectively use feedback often available during BVMV. Method Six expert and six novice respiratory therapists completed two simulations of an infant requiring BVMV. In one, the technology failed to display SpO2, an important but somewhat redundant visual cue. Eye movements, verbal reports, and ventilation rate (in breaths per minute) were measured in each simulation. Results Regardless of SpO2 availability, eye movements and verbal reports suggested that novices depended strongly on electronic vital signs and when SpO2 was absent ventilated at a faster rate (exceeding the recommended range of ventilation rates) than when SpO2 was present. Experts’ ventilation rates were comparable and within the recommended range in both conditions. When SpO2 was absent, experts emphasized information from direct observation of the patient that novices neglected. Conclusion Individual differences in the use of feedback during BVMV contribute to the quality of BVMV. This work bears on the theoretical discussions involving the use of automation and nontechnological cues to guide performance. Application These results have the potential to expand the current understanding of factors underlying effective BVMV with implications for training novice providers.
Living environment and its relationship to depressive mood: A systematic review
Authors: Rautio Nina , Filatova Svetlana , Lehtiniemi Heli , Miettunen Jouko 
Published: December 2017

Background and aims: The notion that environment affects mental health has a long history; in this systematic review, we aimed to study whether the living environment is related to depressive mood. Methods: We searched databases of PubMed, Scopus and Web of Science for population-based original studies prior to October 2016. We included studies that measured depressive symptoms or depression and had measures of urbanization, population density, aesthetics of living environment, house/built environment, green areas, walkability, noise, air pollution or services. Results: Out of 1,578 articles found, 44 studies met our inclusion criteria. Manual searches of the references yielded 13 articles, resulting in 57 articles being included in the systematic review. Most of the studies showed statistically significant associations with at least one of the characteristics of living environment and depressive mood. House and built environment with, for example, poor housing quality and non-functioning, lack of green areas, noise and air pollution were more clearly related to depressive mood even after adjustment for different individual characteristics. On the contrary, the results in relation to population density, aesthetics and walkability of living environment, and availability of services and depressive mood were more inconsistent. Conclusion: Adverse house/built environment, including poor housing quality and non-functioning, lack of green spaces, noise and air pollution are related to depressive mood and should be taken into account during planning in order to prevent depressive mood.
Hearing the Connections in Children's Oral and Written Discourse
Authors: Michaels Sarah 
Published: December 2017

This paper is a case study of two occasions of teacher response, shaping, and evaluation of students' texts. In one case, the text is oral — a “sharing time” contribution by a first grader. In the second case the text is written — a sixth grader's composition about a favorite circus act. The two examples are taken from different classrooms at different grade levels. Nonetheless, they evidence striking parallels in regard to teacher-assigned task, text structure, and teacher–student interaction. Both students attempt to introduce personal knowledge or experience into a simple descriptive account. In doing so, they use complex associative strategies which entail shifts in topic, time, and focal characters. In both cases, the teachers have difficulty interpreting the students' texts, which lack lexical or graphic markers of the associative shifts, and which are not organized in the way the teachers were expecting. In the end both teachers fail to expand on and clarify the students' complex communicative goals. Moreover, in their push for simpler texts which “stick to one topic” the teachers fail to appreciate the logic and complexity of the students' initial attempts. Following a detailed description of the tasks, texts, and outcomes of these classroom encounters, explanations are proposed which may account for the similarities found in the two examples. The proposed explanations focus both on schools as institutions (with institutionalized practices and values for teaching literacy skills) and on the complex interpretive processes at work in urban, multiethnic classrooms, processes which add significantly to the sociolinguistic demands on teachers.
Combined exercise training reduces climacteric symptoms without the additive effects of isoflavone supplementation: A clinical, controlled, randomised, double-blind study
Authors: Costa Juliene G , Giolo Jéssica S , Mariano Igor M , Batista Jaqueline P , Ribeiro Ana Luiza A , Souza Tállita Cristina F , de Oliveira Erick P , Resende Ana Paula M , Puga Guilherme M 
Published: December 2017

Background: Exercise and supplementation with isoflavones are therapies used to prevent and treat climacteric symptoms. Aim: To verify the effects of 10 weeks of combined aerobic and resistance training and isoflavone supplementation on climacteric symptoms in postmenopausal women. Methods: A randomised, double-blind, controlled clinical trial was performed. A total of 32 postmenopausal women, aged 54.4 ± 5.4 years, with a body mass index of 26.6 ± 3.0 kg/m2 and 5.6 ± 4.6 years after menopause, were randomly assigned to groups: placebo and exercise (PLA + EXE, n = 15) or 100 mg of isoflavone and exercise (ISO + EXE, n = 17). At the beginning and after 10 weeks of aerobic + resistance (20 min each, moderate intensity) training, climacteric symptoms were evaluated using the Blatt–Kupperman Menopausal Index, Cervantes Scale and Menopause Rating Scale. ANCOVA was used for analysis between groups and at different times, with the covariate adjusted by the pre-value. The level of significance considered was p < 0.05. Results: A reduction in climacteric symptoms was observed in both groups, without differences between the interventions. The reductions were 45% and 50% for the Blatt–Kupperman Menopausal Index, 41% and 52% for the MRS and 39% and 39% for the Cervantes Scale in the ISO + EXE and PLA + EXE groups, respectively. In the descriptive analysis of the Blatt–Kupperman Menopausal Index values, there was an increase in the absence of symptoms from 48−77% in the ISO + EXE group and 24−58% in the PLA + EXE group. Conclusions: A period of 10 weeks of combined training was effective in improving climacteric symptoms in post-menopausal women. However, isoflavone supplementation did not promote additional effects in improving symptoms.
Weight gain changes in patients with aripiprazole monotherapy compared with aripiprazole–antidepressant polypharmacy in an outpatient sample
Authors: Nguyen Charles , Novac Andrei , Hazen Jessica , Howard Pamela , Tieu Ryan , Bota Robert G 
Published: December 2017

Objective: This study seeks to evaluate the weight gain effect within a community-based population of patients with diagnoses of depression, mood disorder, and schizophrenia receiving aripiprazole over a period of at least 6 months. Method: The four million members of Kaiser Permanente of Southern California (KPSC) were queried for a four-year period between January 1, 2010 and December 31, 2013. The initial cohort comprised 25,682 KPSC members who received at least one dispense of aripiprazole. This initial cohort was split into those who received aripiprazole as a monotherapy (“Alone” group) and those who were given aripiprazole as part of a combination therapy. The group of patients that received aripiprazole and antidepressant with high serotonin reuptake inhibition we called “High” group while the group receiving aripiprazole and bupropion combination we called “Low” serotonin group. We compared the primary endpoint of mean percent weight change from baseline after 180 days of continuous treatment between the three groups. Three pairwise comparisons were made: High versus Alone, Low versus Alone, and Low versus High, using adjusted and unadjusted linear regression models. Results: Within this population, patients on aripiprazole monotherapy showed statistically significant weight gain in all three groups. However, there was no statistically significant difference in weight gain between the aripiprazole monotherapy, the high serotonergic combination group, and the low serotonergic combination group. This finding applied even within the subset of patients who were considered obese (body mass index > 30). Conclusions: The results suggest that weight gain is unchanged by combination treatments, but further research is required.
Transport Infrastructure and Economic Growth: New Evidence from Tunisia an ARDL Bounds Testing Approach
Authors: Amairia Radhia , Amaira Bouzid 
Published: December 2017

The achievement of an effective infrastructure, reliable and fair, is essential for economic growth. Indeed, the transport infrastructure is essential to the prosperity of regions. To investigate the relationship between transport infrastructure and economic growth, we use the autoregressive distributed lag model (ARDL), we find that transport infrastructure is cointegrated with economic performance, indicating the affirmed presence of long-run equilibrium relationships among them. We use annual data for the period from 1980 to 2013. The study found that the transport infrastructure and investment in transport infrastructure in Tunisia have a significant positive contribution to growth, which shows that each impact is strong and statistically significant. The Tunisian experience suggests that it is necessary to design an economic policy that will improve the transport infrastructure and to increase investment made to the sector for sustainable economic growth in Tunisia. It is necessary to improve the existing road and rail networks. JEL Classification: F63, L91, R41
Are therapists likely to use a new empirically supported treatment if required?
Authors: Patterson Silver Wolf David A , van den Berk-Clark Carissa , Williams Sha-Lai , Dulmus Catherine N 
Published: December 2017

Summary There continues to be a movement to address the gap between empirically supported treatment research and social services practice. While the general social services field values services based in science, many therapists’ practices are not grounded in and directed by empirical evidence. This study was a secondary analysis of data collected from 17 (N = 17) social service organizations. The final sample consisted of 440 frontline therapists. Findings We find that about one-third (32.7%) of therapists are reluctant to use a new intervention if required by their state, agency, or supervisor. These reluctant empirically supported treatment users had higher levels of field experience (aOR = 1.02, 95% CI = 1.00, 1.05, p = .002) and more years at their present job (aOR = 1.05, 95% CI = 1.01, 1.09, p = .001). We also find an association between race (white versus nonwhite) and the likelihood of being reluctant to using empirically supported treatments, with nonwhites being more likely to be reluctant to use empirically supported treatments (aOR = 1.72, 95% CI = 1.00, 2.95, p = .001). Applications Outcomes indicate that there is a cohort of frontline clinical therapists who are reluctant to use new, empirically supported interventions even if mandated to do so. Organizational leaders may need to consider barriers such as therapist demographics (e.g. years in the field or at the agency), client demographics (e.g. race/ethnicity concordance), and the perceived level of cultural appropriateness of empirically supported treatments by therapists when determining strategies to achieve increased use of empirically supported treatments.
Impact of metabolic control on macular thickness in diabetic macular oedema
Authors: Peng Yi-Jie , Tsai Meng-Ju 
Published: December 2017

Purpose: To investigate the impact of metabolic control on macular thickness measured using optical coherence tomography in patients with diabetic retinopathy with or without macular oedema. Methods: A total of 124 patients with diabetic retinopathy ( n = 70 without macular oedema and n = 54 with macular oedema) were enrolled. Optical coherence tomography parameters measured included central macular thickness and total macular volume. Metabolic factors with correlation to optical coherence tomography parameters were fasting plasma glucose, glycosylated haemoglobin, triglyceride, low-density lipoprotein and estimated glomerular filtration rate. Multiple linear regression models were used to evaluate associations between optical coherence tomography parameters and metabolic factors. Results: Higher glycosylated haemoglobin values were correlated with increased central macular thickness in patients without macular oedema ( R = 0.289, p = 0.015), whereas glycosylated haemoglobin values were inversely associated with central macular thickness in patients with macular oedema ( R = –0.374, p = 0.005). Both were found to be statistically significant after adjusting for age, sex and diabetic retinopathy severity in addition to other metabolic factors ( p = 0.009 and p = 0.002, respectively). Conclusion: Strict metabolic control may not be associated with better macular thickness in diabetic patients with co-existing macular oedema.