bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sleep Fragmentation, Cerebral Arteriolosclerosis, and Brain Infarct Pathology in Community-Dwelling Older People
Authors: Lim Andrew S.P. , Yu Lei , Schneider Julie A. , Bennett David A. , Buchman Aron S. 
Published: January 2016

Background and Purpose—
Although several forms of sleep disruption are associated with stroke, few studies have examined the relationship between sleep and histopathologic measures of cerebrovascular disease. We tested the hypothesis that greater sleep fragmentation is associated with a higher burden of cerebral vessel and infarct pathology at autopsy.

Methods—
We used ordinal logistic regression models to relate sleep fragmentation measured by actigraphy to the severity of arteriolosclerosis, atherosclerosis, and cerebral amyloid angiopathy, and the number of macroscopic and microscopic infarcts assessed by structured brain autopsy in 315 participants from the Rush Memory and Aging Project.

Results—

Greater sleep fragmentation was associated with more severe arteriolosclerosis (odds ratio, 1.27; 95% confidence interval, 1.02–1.59;
P
=0.03 per 1 SD greater sleep fragmentation) and more subcortical macroscopic infarcts (odds ratio, 1.31; 95% confidence interval, 1.01–1.68;
P
=0.04). These associations were independent of established cardiovascular risk factors and diseases, and several medical comorbidities.

Conclusions—
Sleep fragmentation is associated with arteriolosclerosis and subcortical infarcts in older adults.
Investigation of the Effects of Anthropogenic Pollution on Typhoon Precipitation and Microphysical Processes Using WRF-Chem
Authors: Jiang Baolin , Huang Bo , Lin Wenshi , Xu Suishan 
Published: January 2016

Abstract
Taking Typhoon Usagi (2013) as an example, this study used the Weather Research and Forecasting Model with Chemistry to investigate the influence of anthropogenic aerosols on typhoons. Three simulations (CTL, CLEAN, EXTREME) were designed according to the emission intensity of the anthropogenic pollution. The results showed that although anthropogenic pollution did not demonstrate clear influence on the track and strength of the typhoon, it clearly changed the precipitation, distribution of water hydrometeors, and microphysical processes. In the CLEAN experiment, the precipitation rate declined because cloud water collected by the rain decreased. Similarly, the precipitation rate decreased in the EXTREME experiment, because the autoconversion of cloud water to rain was restrained. Regarding precipitation type, the rate of stratiform precipitation in both the CLEAN and the EXTREME simulations was suppressed because the ice-phase microphysical processes weakened. Compared with the CTL run, the rate of stratiform precipitation at the periphery of the typhoon was reduced by about 28% in both the CLEAN and the EXTREME simulations. Moreover, the rate of convective precipitation within 140–160 km of the center of the typhoon in the EXTREME experiment was about 33% greater than in the CTL simulation. This increase was triggered by new convection at the periphery in the EXTREME simulation related to cloud water reevaporation. Finally, compared with the CTL experiment, the peaks of both convective and mixed precipitation in the CLEAN and EXTREME experiments shifted 10 km toward the typhoon periphery.
Composite Analysis of the Effects of ENSO Events on Antarctica
Authors: Welhouse Lee J. , Lazzara Matthew A. , Keller Linda M. , Tripoli Gregory J. , Hitchman Matthew H. 
Published: January 2016

Abstract
Previous investigations of the relationship between El Niño–Southern Oscillation (ENSO) and the Antarctic climate have focused on regions that are impacted by both El Niño and La Niña, which favors analysis over the Amundsen and Bellingshausen Seas (ABS). Here, 35 yr (1979–2013) of European Centre for Medium-Range Weather Forecasts interim reanalysis (ERA-Interim) data are analyzed to investigate the relationship between ENSO and Antarctica for each season using a compositing method that includes nine El Niño and nine La Niña periods. Composites of 2-m temperature (T2m), sea level pressure (SLP), 500-hPa geopotential height, sea surface temperatures (SST), and 300-hPa geopotential height anomalies were calculated separately for El Niño minus neutral and La Niña minus neutral conditions, to provide an analysis of features associated with each phase of ENSO. These anomaly patterns can differ in important ways from El Niño minus La Niña composites, which may be expected from the geographical shift in tropical deep convection and associated pattern of planetary wave propagation into the Southern Hemisphere. The primary new result is the robust signal, during La Niña, of cooling over East Antarctica. This cooling is found from December to August. The link between the southern annular mode (SAM) and this cooling is explored. Both El Niño and La Niña experience the weakest signal during austral autumn. The peak signal for La Niña occurs during austral summer, while El Niño is found to peak during austral spring.
The Global Warming–Induced South Asian High Change and Its Uncertainty
Authors: Qu Xia , Huang Gang 
Published: January 2016

Abstract
Based on models from phase 5 of the Coupled Model Intercomparison Project (CMIP5), the present study investigates the South Asian high (SAH) change in response to global warming. Under global warming, the selected 16 coupled general circulation models all feature an elevation of geopotential height at 100 hPa to the south of the SAH climatological position; an easterly response is found over the northern Indian Ocean in all the models, while a westerly response is found over subtropical Asia. The ridges of the SAH shift equatorward in 75% of models. Using the linear baroclinic model, it is found that the combined effects of latent heating and the mean advection of stratification change (MASC) are mainly responsible for those responses. The MASC mainly leads to the aforementioned easterly and westerly responses; the latent heating contributes to the geopotential height response and the easterly response over the northern Indian Ocean. The most important intermodel diversity is found in the 100-hPa circulation change under global warming, accounting for more than half of the total intermodel variance. The intermodel spread of latent heating and the MASC are important factors in driving the 100-hPa circulation diversity. Furthermore, analysis shows that the projected uncertainties in humidity, vertical velocity, and global mean temperature change are the three most important sources of intermodel diversity for the 100-hPa circulation change.
Indications for Protracted Groundwater Depletion after Drought over the Central Valley of California*,+
Authors: Simon Wang S.-Y. , Lin Yen-Heng , Gillies Robert R. , Hakala Kirsti 
Published: January 2016

Abstract
Ongoing (2014–16) drought in the state of California has played a major role in the depletion of groundwater. Within California’s Central Valley, home to one of the world’s most productive agricultural regions, drought and increased groundwater depletion occurs almost hand in hand, but this relationship appears to have changed over the last decade. Data derived from 497 wells have revealed a continued depletion of groundwater lasting a full year after drought, a phenomenon that was not observed in earlier records before the twenty-first century. Possible causes include 1) lengthening of drought associated with amplification in the 4–6-yr drought and El Niño frequency since the late 1990s and 2) intensification of drought and increased pumping that enhances depletion. Altogether, the implication is that current groundwater storage in the Central Valley will likely continue to diminish even further in 2016, regardless of the drought status.
Improving Large-Domain Convection-Allowing Forecasts with High-Resolution Analyses and Ensemble Data Assimilation
Authors: Schwartz Craig S. 
Published: January 2016

Analyses with 20-km horizontal grid spacing were produced from continuously cycling three-dimensional variational (3DVAR), ensemble square root Kalman filter (EnSRF), and “hybrid” variational–ensemble data assimilation (DA) systems over a domain spanning the conterminous United States. These analyses initialized 36-h Weather Research and Forecasting Model forecasts containing a large convection-allowing 4-km nested domain, where downscaled 20-km 3DVAR, EnSRF, and hybrid analyses initialized the 4-km forecasts. Overall, hybrid analyses initialized the best 4-km precipitation forecasts. Furthermore, whether 4-km precipitation forecasts could be improved by initializing them with true 4-km analyses was assessed. As it was computationally infeasible to produce 4-km continuously cycling ensembles over the large 4-km domain, several “dual-resolution” hybrid DA configurations were adopted where 4-km backgrounds were combined with 20-km ensembles to produce 4-km hybrid analyses. Additionally, 4-km 3DVAR analyses were produced. In both hybrid and 3DVAR frameworks, initializing 4-km forecasts with true 4-km analyses, rather than downscaled 20-km analyses, yielded superior precipitation forecasts over the first 12 h. Differences between forecasts initialized from 4-km and downscaled 20-km hybrid analyses were smaller for 18–36-h forecasts, but there were occasionally meaningful differences. Continuously cycling the 4-km backgrounds and using static background error covariances with larger horizontal length scales in the hybrid led to better forecasts. All hybrid-initialized forecasts, including those initialized from downscaled 20-km analyses, were more skillful than forecasts initialized from 4-km 3DVAR analyses, suggesting the analysis method was more important than analysis resolution.
Brain gray matter alterations and associated demographic profiles in adults with autism spectrum disorder: A meta-analysis of voxel-based morphometry studies
Authors: Yang Xun , Si Tianjing , Gong Qiyong , Qiu Lihua , Jia Zhiyun , Zhou Mi , Zhao Youjin , Hu Xinyu , Wu Min , Zhu Hongyan 
Published: January 2016

Background: There is increasing evidence that children with autism spectrum disorder are accompanied by specific anatomical alterations. However, the anatomical abnormalities in adults with autism spectrum disorder are poorly understood. This study was aimed to identify the neuroanatomical substrates underlying the pathophysiology of adults with autism spectrum disorder. We also investigated the relationship between neuroanatomical alterations and clinical and demographic characteristics. Methods: A total of 13 datasets were enrolled, of which 12 studies compared whole-brain differences of 382 adult patients with autism and 393 healthy control subjects. We conducted a meta-analysis to quantitatively estimate regional gray matter volume abnormalities in individuals with autism using the effect-size signed differential mapping. Results: The voxel-wise meta-analysis revealed that relative to controls, adults with autism spectrum disorder had significantly increased gray matter volume in the middle temporal gyrus, superior temporal gyrus, postcentral gyrus and parahippocampal gyrus, and reduced gray matter volume in the anterior cingulate cortex and cerebellum. Variations in gray matter volume were significantly associated with the mean age and mean total IQ score of the patients, as well as with the percentage of male patients with autism. Conclusion: These findings confirmed that the neuroanatomical alterations in the fronto-temporal cortices, limbic system and cerebellum in adult individuals with autism were different from the children and young adolescent’s autism. The effects of demographic characteristics on the brain morphological changes allow us to further clarify the neurobiological mechanisms and developmental trajectory in adult population with autism spectrum disorder.
Intimate Partner Violence and Women’s Help-seeking Behaviour: Evidence from India
Authors: Paul Sohini 
Published: January 2016

This study examines the role of socio-economic characteristics that influence a battered woman in India to either remain silent or approach someone for help in response to domestic violence. We investigate the influence of socio-economic factors on choosing between formal and informal sources of seeking help. The dataset used for the analysis is a nationally representative, community-based survey database—the National Family Health Survey-3 (NFHS-3). A logistic regression framework was used to analyze the data. The results suggest that education and economic empowerment play a crucial role in deciding whether to seek help to stop domestic violence. Women exposed to violence attempts utilize both formal and informal sources of help; however, informal sources of help are more popular compared with formal sources in India. JEL: J12
An Empirical Investigation of the Arts Audience Experience Index
Authors: Tung Au Wing , Ho Glos , Wing Chuen Chan Kenson 
Published: January 2016

Radbourne et al. proposed an Arts Audience Experience Index (AAEI) which stipulated that performing arts experiences consist of four components: authenticity, collective engagement, knowledge, and risk. Authenticity is associated with truth and believability of a performance. Collective engagement is an audience’s experience of engagement with performers and other audience members. Knowledge is concerned with understanding of and intellectual stimulation created by a performance. Risk is the extent to which a performance meets one’s expectation, is value for money, and fits with one’s self-image. We administered the AAEI to 465 spectators who attended a drama performance and 126 spectators who attended a musical performance. Supporting Radbourne et al.’s framework, confirmatory factor analysis found that audience members could differentiate among the four components of authenticity, collective engagement, knowledge, and risk along the two facets of importance and satisfaction. Regression analyses also showed that satisfaction with these four components contributes meaningfully to the overall evaluation of the performances, although collective engagement was found to be a relatively weaker predictor.
Occupational therapists’ perspectives on using the remotivation process with clients experiencing dementia
Authors: Raber Christine , Purdin Sarah , Hupp Ashley , Stephenson Brian 
Published: January 2016

Introduction This qualitative study systematically examined occupational therapists’ use of a model of human occupation intervention, the Remotivation Process, for individuals with dementia. Method An international sample of therapists participated in an on-line survey and in-depth interviews, resulting in 33 respondents and eight participants, respectively. The survey gathered general information regarding therapists’ use of the Remotivation Process with persons experiencing dementia, and was used to recruit interview participants. Interviews were conducted using SKYPE or telephone, and were audio-recorded and transcribed. Descriptive statistics were derived from the survey results, and van Manen’s phenomenological approach was used to describe therapists’ experiences using the intervention. Results Use of the Remotivation Process for this population was most common among mid-career therapists, and a majority of respondents had been using the intervention less than two years. Three themes identified from the interviews were: (1) Therapist beliefs: Commitment to the Remotivation process; (2) Does it work? Evaluating success; (3) It's more than me: External factors. Conclusion Survey and interview data revealed that use of the Remotivation Process intervention for persons experiencing dementia is fairly complex yet clinically applicable. Therapists’ experiences of using the Remotivation Process underscored the importance of therapist volition and clinical reasoning in achieving desired outcomes.
Development and validity of the Arabic Handwriting Assessment for elementary school students
Authors: Salameh-Matar Abeer , Basal Nasir , Nashef-Tali Baraah , Weintraub Naomi 
Published: January 2016

Introduction Assessing handwriting performance is important for developing effective intervention programmes. We describe the development of the Arabic Handwriting Assessment for elementary school students (A-HAT) and its initial psychometric properties. In its development, the unique characteristic of the Arabic orthography played an important role. Method The A-HAT evolved through two stages: constructing the assessment and establishing content validity, and examining its feasibility and initial psychometric properties. The study included 114 normally achieving students in second ( n = 54, Mage = 7.79, SD = 0.31) and fourth grades ( n = 60, Mage = 9.86, SD = 0.40), whose mother tongue was Arabic. Students were administered the A-HAT, including copying a paragraph and writing to dictation tasks, in small groups. Results Speed and legibility improved from second to fourth grades, in both the copying and dictation tasks. Girls were found to write more legibly than the boys in the dictation task. Finally, medium to high test–retest and inter-rater reliability were found. Conclusion This study emphasises the importance of considering the unique orthography of a language in the development of a handwriting assessment. In addition, the results indicate that the A-HAT is a promising measure that may assist educators and clinicians in assessing the Arabic handwriting performance of students in lower elementary school.
Do Serially Recorded Prognostic Scores Predict Outcome Better Than One-Time Recorded Score on Admission? A Prospective Study in Adult Intensive Care Patients
Authors: Manerikar Sangeeta , Hariharan Seetharaman 
Published: January 2016

Objectives: The prognosticating ability of one-time recorded Acute Physiology and Chronic Health Evaluation (APACHE) IV score was compared with serially recorded Mortality Prediction Model (MPM) II scores. Design and Methods: A prospective observational study was conducted for a period of 6 months. Acute Physiology and Chronic Health Evaluation IV score was recorded during the first day on intensive care unit (ICU) admission. Mortality Prediction Model II was recorded on admission, 24, 48, and 72 hours. Predicted mortality was compared with observed mortality. The systems were calibrated and tested for discriminant functions. Results: One hundred and fifty patients were studied. The observed mortality was 21.3%. The mean predicted hospital mortality by APACHE IV was 20.6%. The mean predicted hospital mortality rate by serial MPM II measurements was 27.7%, 24.3%, 25.5%, and 25.8%. The area under the receiver–operating characteristic curve was 0.87 for APACHE IV and 0.82, 0.84, 0.85, and 0.89 for MPM II series. Both systems calibrated well with similar degree of goodness of fit. Conclusion: Acute Physiology and Chronic Health Evaluation IV on admission predicted hospital mortality better than serially recorded MPM, which overestimated mortality. Also, APACHE IV had a slightly better discrimination compared to MPM II on admission. One-time recording of APACHE IV on admission may be sufficient for prognostication of ICU patients rather than serial MPM scores.
Prognostic Value of Treatment Setting in Patients With Cancer Having Pulmonary Embolism: Comparison With the Pulmonary Embolism Severity Index
Authors: Ahn Shin , Lee Yoon-Seon , Kim Won Young , Lim Kyung Soo , Lee Jae-Lyun 
Published: January 2016

Background: Active cancer is a poor prognostic factor for survival after pulmonary embolism (PE). This retrospective cohort study was performed to investigate how accurately the pulmonary embolism severity index (PESI) predicts 30-day mortality in patients with active cancer. Whether the treatment setting (palliative vs curative) could predict mortality in these patients was also investigated. Methods: All consecutive patients with active cancer and PE who visited the emergency department of Asan Medical Center in January 2007 to June 2014 were identified. The covariates for predicting 30-day mortality were PESI classification, treatment setting (curative vs palliative), brain natriuretic peptide ≥ 150 ng/L, troponin I ≥ 0.10 ng/mL, right ventricular dysfunction, deep vein thrombosis, and anticoagulants used. Cox proportional hazards regression analysis was used to assess the association between treatment setting and 30-day mortality. Results: The PESI classification and 30-day mortality did not associate significantly. Area under the receiver–operating curve of the PESI was 0.565 (95% confidence interval [CI]: 0.453-0.677). Palliative treatment setting associated with an increased risk of 30-day mortality, regardless of the PESI classification (adjusted hazard ratio: 3.72, 95% CI: 1.49-9.26). Treatment setting predicted mortality 30 days, 3 months, and 6 months after PE presentation better than PESI. Conclusion: The PESI did not accurately predict mortality in patients with active cancer. Treatment setting was the most important determinant of clinical outcome in these patients. When stratifying patients with active cancer and PE, palliative treatment setting should be considered as it is predictive of high mortality.