bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mobile Radar as an Undergraduate Education and Research Tool: The ERAU C-BREESE Field Experience with the Doppler on Wheels
Authors: Milrad Shawn M. , Herbster Christopher G. 
Published: February 2017

AbstractEmbry-Riddle Aeronautical University Convective-Boundary Research Engaging Educational Student Experiences (ERAU C-BREESE) was an 18-day National Science Foundation (NSF)-funded educational Doppler on Wheels (DOW) deployment through the Center for Severe Weather Research in May 2015. ERAU C-BREESE had three primary areas of focus: meteorological field observations and research, undergraduate experiential learning, and local community outreach. ERAU undergraduate meteorology students had the unique opportunity to forecast for, collect, and analyze field measurements of sea-breeze processes and convection. The scientific objectives of ERAU C-BREESE were to forecast, observe, and analyze central Florida sea-breeze processes and thunderstorms by combining a DOW with more traditional tools. Specific scientific investigations were spurred by nine intensive observation periods (IOPs) throughout central Florida. Specific details are provided for IOP9, the most successful IOP, from both forecast and observational perspectives. Summaries of local community outreach, student education and responsibilities, and a discussion of the benefits of experiential learning are also provided.
Grand Challenges in Understanding the Interplay of Climate and Land Changes
Authors: Liu Shuguang , Bond-Lamberty Ben , Boysen Lena R. , Ford James D. , Fox Andrew , Gallo Kevin , Hatfield Jerry , Henebry Geoffrey M. , Huntington Thomas G. , Liu Zhihua , Loveland Thomas R. , Norby Richard J. , Sohl Terry , Steiner Allison L. , Yuan Wenping , Zhang Zhao , Zhao Shuqing 
Published: February 2017

AbstractHalf of Earth’s land surface has been altered by human activities, creating various consequences on the climate and weather systems at local to global scales, which in turn affect a myriad of land surface processes and the adaptation behaviors. This study reviews the status and major knowledge gaps in the interactions of land and atmospheric changes and present 11 grand challenge areas for the scientific research and adaptation community in the coming decade. These land-cover and land-use change (LCLUC)-related areas include 1) impacts on weather and climate, 2) carbon and other biogeochemical cycles, 3) biospheric emissions, 4) the water cycle, 5) agriculture, 6) urbanization, 7) acclimation of biogeochemical processes to climate change, 8) plant migration, 9) land-use projections, 10) model and data uncertainties, and, finally, 11) adaptation strategies. Numerous studies have demonstrated the effects of LCLUC on local to global climate and weather systems, but these putative effects vary greatly in magnitude and even sign across space, time, and scale and thus remain highly uncertain. At the same time, many challenges exist toward improved understanding of the consequences of atmospheric and climate change on land process dynamics and services. Future effort must improve the understanding of the scale-dependent, multifaceted perturbations and feedbacks between land and climate changes in both reality and models. To this end, one critical cross-disciplinary need is to systematically quantify and better understand measurement and model uncertainties. Finally, LCLUC mitigation and adaptation assessments must be strengthened to identify implementation barriers, evaluate and prioritize opportunities, and examine how decision-making processes work in specific contexts.
Irrigation Effects on Land–Atmosphere Coupling Strength in the United States
Authors: Lu Yaqiong , Harding Keith , Kueppers Lara 
Published: February 2017

Abstract
Land–atmosphere coupling strength describes the degree to which the atmosphere responds (e.g., via changes in precipitation) to changes in the land surface state (e.g., soil moisture). The Midwest and Great Plains of the United States have been shown to be “hot spots” of coupling by many climate models and some observations. However, very few of the modeling studies have reported whether the climate models applied irrigation in the Midwest and Great Plains, where 24%–27% of farmland is irrigated, leaving open the question of whether irrigation affects current estimates of coupling strength. This study used a regional climate model that incorporated dynamic crop growth and precision irrigation (WRF3.3–CLM4crop) to investigate irrigation effects on land–atmosphere coupling strength. Coupling strength was quantified using multiple indices and the irrigated land-induced precipitation was tracked using a back trajectory method. The indices showed a consistent and significant decline in local coupling strength with irrigation in the Midwest and northern Great Plains. These reductions were due to increased soil moisture but decreased local precipitation and lower sensitivity of latent heat flux to soil moisture over irrigated regions. The back trajectories of water vapor transport confirmed that irrigation largely did not contribute to local precipitation. Water vapor from irrigated land was transported to the Midwest and U.S. Northeast where it fell as precipitation, suggesting that irrigation has a broader spatial impact on soil moisture–precipitation coupling than simply through local soil moisture–evapotranspiration coupling. The present study suggests that climate models without irrigation schemes may overestimate the land–atmosphere coupling strength over irrigated agricultural regions but underestimate coupling strength over neighboring nonirrigated regions.
Interdecadal Changes in the Relationship between Interannual Variations of Spring North Atlantic SST and Eurasian Surface Air Temperature
Authors: Chen Shangfeng , Wu Renguang 
Published: February 2017

Abstract
This study investigates interdecadal changes in the relationship between interannual variations of boreal spring sea surface temperature (SST) in the North Atlantic and surface air temperature (SAT) over the mid-to-high latitudes of Eurasia during 1948–2014. Analyses show that the connection between the spring North Atlantic tripole SST anomaly pattern and the Eurasian SAT anomalies has experienced marked interdecadal shifts around the early 1970s and mid-1990s. The connection is strong during 1954–72 and 1996–2014 but weak during 1973–91. A diagnosis indicates that interdecadal changes in the connection between the North Atlantic SST and Eurasian SAT variations are associated with changes in atmospheric circulation anomalies over Eurasia induced by the North Atlantic tripole SST anomaly pattern. Further analyses suggest that changes in atmospheric circulation anomalies over Eurasia are related to changes in the position of atmospheric heating anomalies over the North Atlantic, which may be due to the change in mean SST. Marked atmospheric heating anomalies appear over the tropical western North Atlantic during 1954–72 and 1996–2014 but over the subtropical central-eastern North Atlantic during 1973–91. Barotropic model experiments confirm that different background flows may also contribute to changes in anomalous atmospheric circulation over Eurasia.
Precipitation Identification with Bispectral Satellite Information Using Deep Learning Approaches
Authors: Tao Yumeng , Gao Xiaogang , Ihler Alexander , Sorooshian Soroosh , Hsu Kuolin 
Published: February 2017

Abstract
In the development of a satellite-based precipitation product, two important aspects are sufficient precipitation information in the satellite-input data and proper methodologies, which are used to extract such information and connect it to precipitation estimates. In this study, the effectiveness of the state-of-the-art deep learning (DL) approaches to extract useful features from bispectral satellite information, infrared (IR), and water vapor (WV) channels, and to produce rain/no-rain (R/NR) detection is explored. To verify the methodologies, two models are designed and evaluated: the first model, referred to as the DL-IR only method, applies deep learning approaches to the IR data only; the second model, referred to as the DL-IR+WV method, incorporates WV data to further improve the precipitation identification performance. The radar stage IV data are the reference data used as ground observation. The operational product, Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Cloud Classification System (PERSIANN-CCS), serves as a baseline model with which to compare the performances. The experiments show significant improvement for both models in R/NR detection. The overall performance gains in the critical success index (CSI) are 21.60% and 43.66% over the verification periods for the DL-IR only model and the DL-IR+WV model compared to PERSIANN-CCS, respectively. In particular, the performance gains in CSI are as high as 46.51% and 94.57% for the models for the winter season. Moreover, specific case studies show that the deep learning techniques and the WV channel information effectively help recover a large number of missing precipitation pixels under warm clouds while reducing false alarms under cold clouds.
Wind Effects on the Shape of Raindrop Size Distribution
Authors: Testik Firat Y. , Pei Bin 
Published: February 2017

AbstractThe wind effects on the shape of drop size distribution (DSD) and the driving microphysical processes for the DSD shape evolution were investigated using the dataset from the Midlatitude Continental Convective Clouds Experiment (MC3E). The quality-controlled DSD spectra from MC3E were grouped for each of the rainfall events by considering the precipitation type (stratiform vs convective) and liquid water content for the analysis. The DSD parameters (e.g., mass-weighted mean diameter) and the fitted DSD slopes for these grouped spectra showed statistically significant trends with varying wind speed. Increasing wind speeds were observed to modify the DSD shapes by increasing the number of small drops and decreasing the number of large drops, indicating that the raindrop breakup process governs the DSD shape evolution. Both spontaneous and collisional raindrop breakup modes were analyzed to elucidate the process responsible for the DSD shape evolution with varying wind speed. The analysis revealed that the collisional breakup process controls the wind-induced DSD shape. The findings of this study are of importance in DSD parameterizations that are essential to a wide variety of applications such as radar rainfall retrievals and hydrologic models.
Surface Cooling, Winds, and Eddies over the Continental Shelf
Authors: Brink K. H. 
Published: February 2017

AbstractModels show that surface cooling over a sloping continental shelf should give rise to baroclinic instability and thus tend toward gravitationally stable density stratification. Less is known about how alongshore winds affect this process, so the role of surface momentum input is treated here by means of a sequence of idealized, primitive equation numerical model calculations. The effects of cooling rate, wind amplitude and direction, bottom slope, bottom friction, and rotation rate are all considered. All model runs lead to instability and an eddy field. While instability is not strongly affected by upwelling-favorable alongshore winds, wind-driven downwelling substantially reduces eddy kinetic energy, largely because the downwelling circulation plays a similar role to baroclinic instability by flattening isotherms and so reducing available potential energy. Not surprisingly, cross-shelf winds appear to have little effect. Analysis of the model runs leads to quantitative relations for the wind effect on eddy kinetic energy for the equilibrium density stratification (which increases as the cooling rate increases) and for eddy length scale.
Visualising the health of communities: Using Photovoice as a pedagogical tool in the college classroom
Authors: Cooper Cheryl , Sorensen William , Yarbrough Susan 
Published: February 2017

Objective: To describe the use of Photovoice as a pedagogical tool to promote experiential learning and critical dialogue among participants on an undergraduate community health course. Design: A descriptive study of the use of the pedagogical tool Photovoice, based on three foundational education theories. Results: Based on teachers’ reflective evaluation of student responses, Photovoice emerged as a useful tool for encouraging dialogic engagement in the classroom, for experiential learning through interaction with the physical environment and for increasing student agency by reducing the teacher as authority model. Conclusion: Photovoice may be useful in a variety of college courses as a way to foster critical thinking, to promote agency among students, to enhance understanding of complex social phenomena and to expand the ways in which both students and teachers think about their physical and social worlds.
The impact of an empowerment intervention on people with schizophrenia: Results of a randomized controlled trial
Authors: Hasan Abdalhadi , Musleh Mahmoud 
Published: February 2017

Aims: The aim of the study was to assess what empowerment intervention has on people with schizophrenia. Methods: A randomized controlled trial was carried out between November 2015 and May 2016 involving 112 participants who had been diagnosed with schizophrenia. Patients, who were 18 years and above diagnosed with Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-V) schizophrenia or schizoaffective disorder from the outpatient mental health clinics in Jordan, were randomly assigned to take part in an intervention that consisted of receiving 6 weeks’ worth of information booklets, with face to face discussions, while receiving their usual medication or allocated treatment as usual. The participants were assessed at baseline, immediately after the intervention and at 3-month follow-up. The primary outcome was a change in the helplessness score. Secondary outcomes were psychiatric symptoms, recovery rate, empowerment and quality of life. Results: This study showed that people with schizophrenia in the intervention group showed more improvement in the helplessness score immediately post-intervention ( F = 74.53, p < .001) and at 3-month follow-up ( F = 75.56, p < .001), they reported significant improvements in all secondary outcomes. Conclusion: This study indicated that the empowering intervention was an effective intervention when integrated with treatment as usual.
Automatic image fusion of real-time ultrasound with computed tomography images: a prospective comparison between two auto-registration methods
Authors: Cha Dong Ik , Lee Min Woo , Kim Ah Yeong , Kang Tae Wook , Oh Young-Taek , Jeong Ja-Yeon , Chang Jung-Woo , Ryu Jiwon , Lee Kyong Joon , Kim Jaeil , Bang Won-Chul , Shin Dong Kuk , Choi Sung Jin , Koh Dalkwon , Seo Bong Koo , Kim Kyunga 
Published: February 2017

Background A major drawback of conventional manual image fusion is that the process may be complex, especially for less-experienced operators. Recently, two automatic image fusion techniques called Positioning and Sweeping auto-registration have been developed. Purpose To compare the accuracy and required time for image fusion of real-time ultrasonography (US) and computed tomography (CT) images between Positioning and Sweeping auto-registration. Material and Methods Eighteen consecutive patients referred for planning US for radiofrequency ablation or biopsy for focal hepatic lesions were enrolled. Image fusion using both auto-registration methods was performed for each patient. Registration error, time required for image fusion, and number of point locks used were compared using the Wilcoxon signed rank test. Results Image fusion was successful in all patients. Positioning auto-registration was significantly faster than Sweeping auto-registration for both initial (median, 11 s [range, 3–16 s] vs. 32 s [range, 21–38 s]; P < 0.001] and complete (median, 34.0 s [range, 26–66 s] vs. 47.5 s [range, 32–90]; P = 0.001] image fusion. Registration error of Positioning auto-registration was significantly higher for initial image fusion (median, 38.8 mm [range, 16.0–84.6 mm] vs. 18.2 mm [6.7–73.4 mm]; P = 0.029), but not for complete image fusion (median, 4.75 mm [range, 1.7–9.9 mm] vs. 5.8 mm [range, 2.0–13.0 mm]; P = 0.338]. Number of point locks required to refine the initially fused images was significantly higher with Positioning auto-registration (median, 2 [range, 2–3] vs. 1 [range, 1–2]; P = 0.012]. Conclusion Positioning auto-registration offers faster image fusion between real-time US and pre-procedural CT images than Sweeping auto-registration. The final registration error is similar between the two methods.
Altered brainstem anatomy in migraine
Authors: Marciszewski Kasia K , Meylakh Noemi , Di Pietro Flavia , Macefield Vaughan G , Macey Paul M , Henderson Luke A 
Published: February 2017

Background The exact mechanisms responsible for migraine remain unknown, although it has been proposed that changes in brainstem anatomy and function, even between attacks, may contribute to the initiation and maintenance of headache during migraine attacks. The aim of this investigation is to use brainstem-specific analyses of anatomical and diffusion weighted images to determine if the trigeminal system displays altered structure in individuals with migraine. Methods Voxel-based morphometry of T1-weighted anatomical images (57 controls, 24 migraineurs) and diffusion tensor images (22 controls, 24 migraineurs) were used to assess brainstem anatomy in individuals with migraine compared with controls. Results We found grey matter volume decreases in migraineurs in the spinal trigeminal nucleus and dorsomedial pons. In addition, reduced grey matter volume and increased free water diffusivity occurred in areas of the descending pain modulatory system, including midbrain periaqueductal gray matter, dorsolateral pons, and medullary raphe. These changes were not correlated to migraine frequency, duration, intensity or time to next migraine. Conclusion Brainstem anatomy changes may underlie changes in activity that result in activation of the ascending trigeminal pathway and the perception of head pain during a migraine attack.
Prevalence and Implementation Practices of School Salad Bars Across Grade Levels
Authors: Bruening Meg , Adams Marc A. , Ohri-Vachaspati Punam , Hurley Jane 
Published: February 2017

Purpose: To assess the prevalence of school salad bars in Arizona and to describe common practices of salad bar use among school nutrition managers across grade level. Design: Cross-sectional web-based surveys. Participants: School nutrition managers from elementary, middle, high, and K-12 schools (N = 648). Measures: Prevalence of salad bars; implementation practices such as years with salad bar, salad bar type, location, monitor, and reimbursement practices; and food-related components of salad bars including frequency of items, popular items, and sources of food. Analysis: Descriptive analyses were conducted including Fisher exact test, analysis of variance, and the Kruskal-Wallis test comparing practices across grade level (elementary, middle, high, and K-12 schools). Results: Overall, 61.1% of respondents had a salad bar; there were significant differences in the prevalence across grade level: elementary, middle, high, and K-12 schools had prevalence of 67.3%, 75.0%, 45.5%, and 51.1%, respectively ( P < .001). We observed significant differences in the implementation and food-related components of salad bars across grade levels including type, salad bar location, sources of food, and frequency of serving cut vegetables. Conclusion: This study provides insights on the prevalence of salad bars and is the first to report on implementation practices of school salad bars. These results may also guide the development of interventions for nutrition educators to use for the promotion fruit and vegetable consumption via school salad bars.
Do Monetary Incentives Increase Fitness Center Utilization? It Depends
Authors: Hooker Stephanie A. , Wooldridge Jennalee S. , Ross Kaile M. , Masters Kevin S. 
Published: February 2017

Purpose: To examine the effects of an employer-based monetary incentive program on membership termination and usage at a fitness center. Design: Retrospective nested case–control study examining the relationship between participation in an incentive program, visits to the fitness center, and membership termination at 1 year. Setting: University-based fitness center. Participants: Members (N = 1122) of a university-based fitness center. Intervention: Members were offered either a US$25 incentive for each month they visited the fitness center at least 10 times or no incentive. Measures: Data were extracted from the membership database and included membership termination at 1 year (yes, no), length of membership (days), participation in the incentive program (yes, no), and visits to the fitness center per month. Analysis: Cox proportional hazards model. Results: Members in the incentive program visited the fitness center on average more times per month (5.3 vs 4.3; P < .0001) but were significantly more likely to terminate memberships at 1 year compared to members who did not receive the incentive (38% vs 31%; P = .013). After controlling for relevant covariates, members who received the incentive had a 24% greater hazard of terminating their memberships compared to members who did not receive the incentive (hazard ratio [HR] = 1.24; P = .041). After controlling for the number of visits per month, the incentive program was no longer significantly related to membership termination (HR = 1.21; P = .07). Conclusion: Being in a monetary incentive program to attend a fitness center may be initially associated with a greater fitness center utilization but may not be associated with a reduced risk of membership termination.
Developing a Team Behavioural Marker Framework Using Observations of Simulator-Based Exercises to Improve Team Effectiveness: A Drilling Team Case Study
Authors: Crichton Margaret T. , Moffat Scott , Crichton Lauren 
Published: February 2017

Background. Due to the challenge of conducting observations of drilling team behaviours on an offshore installation during actual operations, a high fidelity simulator provided the opportunity to observe team behaviours when managing complex and uncertain situations. Aim. This article describes how such observations were used to develop a team behavioural marker framework subsequently used for debriefing. Method. Team behaviours and interactions were recorded during 25 simulator-based training exercises which had been integrated into a technical training course. These were then analysed, and four dimensions, with example behaviours, were identified. Results. The behavioural markers formed the basis of training objectives, and provided structure for debriefing team performance. The use of the simulator provided concrete examples of both effective and ineffective behaviours. Conclusions. Notable improvements in drilling team interactions and behaviours were noted over the course of five exercises, which ranged in complexity and uncertainty, throughout the training course. Enhancing team non-technical skills will lead to safer and more effective performance, and facilitate the transfer from training to actual operations. Team members also became more familiar with the concepts and terminology of non-technical skills and integrated behavioural markers into workplace practices such as Tool Box Talks, Stop Work Authority, and Time-Outs.