bluuebunny/crossref_metadata_2025_split huggingface dataset:
Primary pleural lymphoma of T cell origin in a paediatric patient with a focus on radiological findings – a case report and review of literature
Authors: Jahanshahi Amirreza , Hiradfar Amirataollah , Zarrintan Armin , Mirza-Aghazadeh-Attari Mohammad 
Published: November 2019

PurposePleural lymphoma is a medical condition characterised by shortness of breath and obscure chest pain, which may be a diagnostic challenge, especially when it occurs in children. Plain chest X-rays and computed tomography (CT) scan are the main imaging techniques and are the initial diagnostic methods utilised.Case reportA four-year-old boy was admitted to the emergency ward with pain in the right thoracoabdominal region, which had persisted for two months. Physical examination revealed reduced respiratory sounds in the right chest, but with no other significant findings. The patient underwent chest X-ray and CT scan, which showed right sided pleural thickening coupled with a massive pleural effusion. The patient underwent pleural biopsy, and a diagnosis of T-cell primary pleural lymphoma was made. The patient underwent treatment with BFM-NHL and was followed for three years, during which the patient remained disease free.ConclusionsPleural lymphoma is a rare diagnosis especially in children and could have overlapping clinical manifestations with more common conditions. Imaging techniques are the main route of clinical work-up towards final diagnosis. Here, we present a rare paediatric patient with no significant past medical history, who underwent imaging and was diagnosed with T-cell primary pleural lymphoma, a very rare subtype of primary pleural lymphoma.
Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter
Authors: Cheng Yueming , Dai Tie , Goto Daisuke , Schutgens Nick A. J. , Shi Guangyu , Nakajima Teruyuki 
Published: November 2019

Abstract. Aerosol vertical information is critical to quantify the
influences of aerosol on the climate and environment; however, large
uncertainties still persist in model simulations. In this study, the
vertical aerosol extinction coefficients from the Cloud-Aerosol Lidar with
Orthogonal Polarization (CALIOP) onboard the Cloud–Aerosol Lidar and
Infrared Pathfinder Satellite Observation (CALIPSO) are assimilated to
optimize the hourly aerosol fields of the Non-hydrostatic ICosahedral
Atmospheric Model (NICAM) online coupled with the Spectral Radiation
Transport Model for Aerosol Species (SPRINTARS) using a four-dimensional
local ensemble transform Kalman filter (4-D LETKF). A parallel assimilation
experiment using bias-corrected aerosol optical thicknesses (AOTs) from
the Moderate Resolution Imaging Spectroradiometer (MODIS) is conducted to
investigate the effects of assimilating the observations (and whether to include vertical information) on the model performances. Additionally, an
experiment simultaneously assimilating both CALIOP and MODIS
observations is conducted. The assimilation experiments are successfully
performed for 1 month, making it possible to evaluate the results
in a statistical sense. The hourly analyses are validated via both the
CALIOP-observed aerosol vertical extinction coefficients and the AOT
observations from MODIS and the AErosol RObotic NETwork (AERONET). Our
results reveal that both the CALIOP and MODIS assimilations can improve the model
simulations. The CALIOP assimilation is superior to the MODIS assimilation
in modifying the incorrect aerosol vertical distributions and reproducing
the real magnitudes and variations, and the joint CALIOP and MODIS
assimilation can further improve the simulated aerosol vertical
distribution. However, the MODIS assimilation can better reproduce the AOT
distributions than the CALIOP assimilation, and the inclusion of the CALIOP
observations has an insignificant impact on the AOT analysis. This is
probably due to the nadir-viewing CALIOP having much sparser coverage than
MODIS. The assimilation efficiencies of CALIOP decrease with increasing
distances of the overpass time, indicating that more aerosol vertical
observation platforms are required to fill the sensor-specific observation
gaps and hence improve the aerosol vertical data assimilation.
Small dams alter thermal regimes of downstream water
Authors: Chandesris André , Van Looy Kris , Diamond Jacob S. , Souchon Yves 
Published: November 2019

Abstract. The purpose of this study was to quantify the downstream impacts of different types of small dams on summer water temperature in lowland
streams. We examined (1) temperature regimes upstream and downstream of dams with different structural characteristics, (2) relationships between stream temperature anomalies and climatic variables, watershed area, dam height, impoundment length and surface area, and residence time, (3) the most significant variables explaining the different thermal behaviors, and (4) the dam thermal effect considering a biological threshold of 22 ∘C, with a calculation of both the number of days with a temperature above this threshold and the average hourly duration above this threshold. Water temperature loggers were installed upstream and downstream of 11 dams
in the Bresse region (France) and monitored at 30 min intervals during
summer (June to September) over the 2009–2016 period, resulting in 13 paired water temperature time series (two sites were monitored for two
summers, allowing the opportunity to compare cold and hot summers). At 23 % of the dams, we observed increased downstream maximum daily
temperatures of more than 1 ∘C; at the remaining dams we observed changes in the maximum daily temperature of −1 to 1 ∘C. Across
sites, the mean downstream increase of the minimum daily temperature was
1 ∘C, and for 85 % of the sites this increase was higher than
0.5 ∘C. We hierarchically clustered the sites based on three temperature anomaly
variables: upstream–downstream differences in (1) maximum daily temperature (ΔTmax), (2) minimum daily temperature (ΔTmin), and (3) daily temperature amplitude (ΔTamp). The cluster analysis identified two main types of dam effects on thermal regime: (1) a downstream increase in Tmin associated with Tmax either unchanged or slightly reduced for impoundments of low volume (i.e., a residence time shorter than 0.7 d and a surface area less than 35 000 m2), and (2) a downstream increase of both Tmin and Tmax of the same order of magnitude for impoundments of larger volume (i.e., a residence time longer than 0.7 d and a surface area greater than 35 000 m2). These downstream temperature increases reached 2.4 ∘C at certain structures with the potential to impair the structure of aquatic communities and the functioning of the aquatic ecosystem. Overall, we show that small dams can meaningfully alter the thermal regimes
of flowing waters, and that these that these effects can be explained with
sufficient accuracy (R2=0.7) using two simple measurements of small
dam physical attributes. This finding may have importance for modelers and
managers who desire to understand and restore the fragmented thermalscapes
of river networks.
Mapping the susceptibility of rain-triggered lahars at Vulcano island (Italy) combining field characterization, geotechnical analysis, and numerical modelling
Authors: Baumann Valérie , Bonadonna Costanza , Cuomo Sabatino , Moscariello Mariagiovanna , Biass Sebastien , Pistolesi Marco , Gattuso Alessandro 
Published: November 2019

Abstract. The characterization of triggering dynamics and
remobilized volumes is crucial to the assessment of associated lahar hazards.
We propose an innovative treatment of the cascading effect between tephra
fallout and lahar hazards based on probabilistic modelling that also
accounts for a detailed description of source sediments. As an example, we
have estimated the volumes of tephra fallout deposit that could be
remobilized by rainfall-triggered lahars in association with two eruptive
scenarios that have characterized the activity of the La Fossa cone (Vulcano,
Italy) in the last 1000 years: a long-lasting Vulcanian cycle and a
subplinian eruption. The spatial distribution and volume of deposits that
could potentially trigger lahars were analysed based on a combination of
tephra fallout probabilistic modelling (with TEPHRA2), slope-stability
modelling (with TRIGRS), field observations, and geotechnical tests. Model
input data were obtained from both geotechnical tests and field measurements
(e.g. hydraulic conductivity, friction angle, cohesion, total unit weight of
the soil, and saturated and residual water content). TRIGRS simulations show how
shallow landsliding is an effective process for eroding pyroclastic deposits
on Vulcano. Nonetheless, the remobilized volumes and the deposit thickness
threshold for lahar initiation strongly depend on slope angle, rainfall
intensity, grain size, friction angle, hydraulic conductivity, and the
cohesion of the source deposit.
The first version of the Pan-European Indoor Radon Map
Authors: Elío Javier , Cinelli Giorgia , Bossew Peter , Gutiérrez-Villanueva José Luis , Tollefsen Tore , De Cort Marc , Nogarotto Alessio , Braga Roberto 
Published: November 2019

Abstract. A hypothetical Pan-European Indoor Radon Map has been developed using summary statistics estimated from 1.2 million indoor radon samples. In this study we have used the arithmetic mean (AM) over grid cells of 10 km × 10 km to predict a mean indoor radon concentration at
ground-floor level of buildings in the grid cells where no or few data
(N<30) are available. Four interpolation techniques have been tested:
inverse distance weighting (IDW), ordinary kriging (OK), collocated cokriging with uranium concentration as a secondary variable (CCK), and regression kriging with topsoil geochemistry and bedrock geology as secondary variables (RK). Cross-validation exercises have been carried out to assess the uncertainties associated with each method. Of the four methods tested, RK has proven to be the best one for predicting mean indoor radon concentrations; and by combining the RK predictions with the AM of the grids with 30 or more measurements, a Pan-European Indoor Radon Map has been produced. This map represents a first step towards a European radon exposure map and, in the future, a radon dose map.
Screening for post‐traumatic stress disorders in 1017 cancer patients and correlation with anxiety, depression, and distress
Authors: Unseld Matthias , Krammer Katharina , Lubowitzki Simone , Jachs Mathias , Baumann Lukas , Vyssoki Benjamin , Riedel Jasmin , Puhr Hanna , Zehentgruber Stefan , Prager Gerald , Masel Eva Katharina , Preusser Matthias , Jaeger Ulrich , Gaiger Alexander 
Published: November 2019

AbstractObjectivePost‐traumatic stress disorder (PTSD) is a severe psychiatric disorder, which might develop after a traumatic event, like cancer diagnosis, and threatens the patient's psychological and/or physiological integrity. Anxiety, depression, and mental distress are known to be common in cancer patients; however, the frequency of PTSD was not investigated thoroughly in this patient group so far. Here, we aim to screen cancer patients for PTSD symptoms and determine a possible correlation with anxiety, depression, and distress.MethodsThe study was performed at the Divisions of Hematology and Oncology of the Medical University of Vienna from 2010 to 2018. Following written consent, patients were asked to fill out the validated self‐assessment questionnaire for PTSS‐10 and HADS. The study was approved by the institutional ethics committee of the Medical University of Vienna (EC Nr: 2255/2016).ResultsA total of 1017 adult cancer patients (513 male, 504 female) were included in a cross‐sectional single‐center study. Mean age was 57.6 years (SD 14.4 years); 31.7%, 14.6%, 13.2%, and 27.4% of patients outscored the predefined thresholds for self‐assessed cases of PTSD, anxiety, depression, and distress, respectively. Compared with men, women showed a higher prevalence of symptoms for PTSD (38.9% vs 24.5%; P < .001) and anxiety (20.4% vs 8.6%; P < .001). The scores of HADS‐A, HADS‐D, and the combined HADS score (distress) were significantly correlated with PTSS‐10 scores (P < .01). No differences in age were observed among the different score groups.ConclusionThe study shows a significant prevalence as well as a correlation of PTSD symptoms with anxiety, depression, and distress among cancer patients. Findings underscore the necessity of a serious screening for psychiatric disorders, especially in female patients. In order to enable multidisciplinary care for cancer patients and to reduce the burden for psychiatric disorders, interdisciplinary screening and treatment concepts, which take into account gender aspects, are urged.
Second-generation antipsychotics and pregnancy complications
Authors: Ellfolk Maria , Leinonen Maarit K. , Gissler Mika , Lahesmaa-Korpinen Anna-Maria , Saastamoinen Leena , Nurminen Marja-Leena , Malm Heli 
Published: November 2019

Abstract

Purpose
To study if second-generation antipsychotic (S-GA) use during pregnancy is associated with an increased risk of pregnancy and neonatal complications.

Methods
A population-based birth cohort study using national register data extracted from the “Drugs and Pregnancy” database in Finland, years 1996–2016. The sampling frame included 1,181,090 pregnant women and their singleton births. Women were categorized into three groups: exposed to S-GAs during pregnancy (n = 4225), exposed to first-generation antipsychotics (F-GAs) during pregnancy (n = 1576), and unexposed (no purchases of S-GAs or F-GAs during pregnancy, n = 21,125). Pregnancy outcomes in S-GA users were compared with those in the two comparison groups using multiple logistic regression models.

Results
Comparing S-GA users with unexposed ones, the risk was increased for gestational diabetes (adjusted odds ratio, OR 1.43; 95% CI 1.25–1.65), cesarean section (OR 1.35; 95% CI 1.18–1.53), being born large for gestational age (LGA) (OR 1.57; 95% CI 1.14–2.16), and preterm birth (OR 1.29; 95% CI 1.03–1.62). The risk for these outcomes increased further with continuous S-GA use. Infants in the S-GA group were also more likely to suffer from neonatal complications. Comparing S-GA users with the F-GA group, the risk of cesarean section and LGA was higher (OR 1.25, 95% CI 1.03–1.51; and OR 1.89, 95% CI 1.20–2.99, respectively). Neonatal complications did not differ between the S-GA and F-GA groups.

Conclusions
Prenatal exposure to S-GAs is associated with an increased risk of pregnancy complications related to impaired glucose metabolism. Neonatal problems are common and occur similarly in S-GA and F-GA users.
Teleneurology clinics for polyneuropathy: a pilot study
Authors: Wilson Andrew M. , Jamal Nasheed I. , Cheng Eric M. , Inkelas Moira , Saliba Debra , Hanssen Andrea , Torres Jorge A. , Ong Michael K. 
Published: November 2019

Abstract

Introduction
Polyneuropathy (PN) is a common condition with significant morbidity. We developed tele-polyneuropathy (tele-PN) clinics to improve access to neurology and increase guideline-concordant PN care. This article describes the mixed-methods evaluation of pilot tele-PN clinics at three community sites within the Greater Los Angeles VA Healthcare System.

Methods
For the first 25 patients (48 scheduled visits), we recorded the duration of the tele-PN visit and exam; the performance on three guideline-concordant care indicators (PN screening labs, opiate reduction, physical therapy for falls); and patient-satisfaction scores. We elicited comments about the tele-PN clinic from patients and the clinical team. We combined descriptive statistics with qualitative themes to determine the feasibility and acceptability of the tele-PN clinics.

Results
The average tele-PN encounter and exam times were 28.5 and 9.1 min, respectively. PN screening lab completion increased from 80 to 100%. Opiate freedom improved from 68 to 88%. Physical therapy for patients with recent falls increased from 58 to 100%. The tele-PN clinic was preferred for follow-up over in-person clinics in 86% of cases. Convenience was paramount to the clinic’s success, saving an average of 231 min per patient in round-trip travel. The medical team’s caring and collaborative spirit received high praise. While the clinic’s efficiency was equal or superior to in-person care, the limited treatment options for PN and the small clinical exam space are areas for improvement.

Conclusion
In this pilot, we were able to efficiently see and examine patients remotely, promote guideline-concordant PN care, and provide a high-satisfaction encounter.
The English Teaching Excellence (and Student Outcomes) Framework: Intelligent accountability in higher education?
Authors: Deem Rosemary , Baird Jo-Anne 
Published: November 2019

Abstract
This paper explores what underlies the recent introduction of a Higher Education Teaching Excellence Framework (TEF) in England. Related changes to the higher education landscape are discussed: the 2017 Higher Education Act and creation of a new HE regulator, the Office for Students. How TEF works and some of the consequences of TEF are outlined. As well as discussing what constitutes teaching excellence and what TEF itself is attempting to signal (which includes graduate destinations), we also analyse the underpinning ideologies and logics of choosing metrics to assess teaching excellence, albeit accompanied by peer panel evaluation of institutional written submissions, in determining Gold, Silver and Bronze TEF outcomes. We introduce the notion of TEF as an index rather than a measure. It is suggested that what underlies the English TEF is not about improving teaching but rather an endeavour to pit universities against each other in a highly marketised competitive system with an oversupply of places, in which student debt levels are rising fast. TEF policy is considered with respect to features that would be required of an intelligent accountability system for higher education teaching quality.
Reversible denoising and lifting based color component transformation for lossless image compression
Authors: Starosolski Roman 
Published: November 2019

Abstract
An undesirable side effect of reversible color space transformation, which consists of lifting steps (LSs), is that while removing correlation it contaminates transformed components with noise from other components. Noise affects particularly adversely the compression ratios of lossless compression algorithms. To remove correlation without increasing noise, a reversible denoising and lifting step (RDLS) was proposed that integrates denoising filters into LS. Applying RDLS to color space transformation results in a new image component transformation that is perfectly reversible despite involving the inherently irreversible denoising; the first application of such a transformation is presented in this paper. For the JPEG-LS, JPEG 2000, and JPEG XR standard algorithms in lossless mode, the application of RDLS to the RDgDb color space transformation with simple denoising filters is especially effective for images in the native optical resolution of acquisition devices. It results in improving compression ratios of all those images in cases when unmodified color space transformation either improves or worsens ratios compared with the untransformed image. The average improvement is 5.0–6.0% for two out of the three sets of such images, whereas average ratios of images from standard test-sets are improved by up to 2.2%. For the efficient image-adaptive determination of filters for RDLS, a couple of fast entropy-based estimators of compression effects that may be used independently of the actual compression algorithm are investigated and an immediate filter selection method based on the detector precision characteristic model driven by image acquisition parameters is introduced.
Detection of Alcanivorax spp., Cycloclasticus spp., and Methanomicrobiales in water column and sediment samples in the Gulf of Mexico by qPCR
Authors: Hernández-López Edna L. , Gasperin Jahaziel , Bernáldez-Sarabia Johanna , Licea-Navarro Alexei F. , Guerrero Abraham , Lizárraga-Partida Marcial Leonardo 
Published: November 2019

Abstract
Water column and sediment samples were collected in the southern Gulf of Mexico (GoMex) during 3 oceanographic cruises: XIXIMI-04 (September 2015), XIXIMI-05 (June 2016), and XIXIMI-06 (August 2017). DNA that was extracted from the samples was analyzed by qPCR to detect and quantify bacterial groups that have been reported to metabolize alkanes (Alcanivorax) and aromatic hydrocarbons (Cycloclasticus) and are involved in methane production (Methanomicrobiales). The results were then analyzed with regard to the water masses that are currently detected in the GoMex. Generally, we observed a decrease in the proportion of Alcanivorax and a rise in those of Cycloclasticus and Methanomicrobiales in samples from the surface to deep waters and in sediment samples. Scatterplots of the results showed that the relative abundance of the 3 groups was higher primarily from the surface to 1000 m, but the levels of Cycloclasticus and Methanomicrobiales were high in certain water samples below 1000 m and in sediments. In conclusion, oil-degrading bacteria are distributed widely from the surface to deep waters and sediments throughout the southern GoMex, representing a potential inoculum of bacteria for various hydrocarbon fractions that are ready for proliferation and degradation in the event of an oil spill from the seafloor or along the water column.
Influence of the laser-based surface modification on the bond strength for friction press joining of aluminum and polyethylene
Authors: Meyer Stefan P. , Wunderling Christoph , Zaeh Michael F. 
Published: November 2019

Abstract
Friction press joining is an innovative joining process for the production of plastic-metal joints without additives, in an overlap configuration. In order to achieve a high bond strength, the metallic joining partner is pretreated with laser radiation. Subsequently, heat is induced by friction and pressure during the joining process, causing the thermoplastic material to melt and adhere to the metallic joining partner. In this work, the temperature distribution during the process in the composite is analyzed and characterized. It was found that the occurring temperatures and temperature differences are not only dependent on the rotational speed, but also on the feed rate. It is also shown that the friction surface temperature can be used as an indirect control variable for a model-based, closed-loop control. Based on these findings, various surface modifications for
the metallic joining partner were investigated and analyzed with regard to the maximum strength of the joint. It was observed that the highest tensile shear strength can be achieved with a quasi-chaotic nano structure. In addition, the joining compound was characterized by a thin section, facilitating the identification of specific zones in the joint. These investigations show the high potential for friction press joining of plastics and metals, and form the basis for a model-based control of the joining zone temperature.