bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contextual Structured Reporting in Radiology: Implementation and Long-Term Evaluation in Improving the Communication of Critical Findings
Authors: Olthof Allard W. , Leusveld Anne L. M. , de Groot Jan Cees , Callenbach Petra M. C. , van Ooijen Peter M. A. 
Published: July 2020

AbstractStructured reporting contributes to the completeness of radiology reports and improves quality. Both the content and the structure are essential for successful implementation of structured reporting. Contextual structured reporting is tailored to a specific scenario and can contain information retrieved from the context. Critical findings detected by imaging need urgent communication to the referring physician. According to guidelines, the occurrence of this communication should be documented in the radiology reports and should contain when, to whom and how was communicated. In free-text reporting, one or more of these required items might be omitted. We developed a contextual structured reporting template to ensure complete documentation of the communication of critical findings. The WHEN and HOW items were included automatically, and the insertion of the WHO-item was facilitated by the template. A pre- and post-implementation study demonstrated a substantial improvement in guideline adherence. The template usage improved in the long-term post-implementation study compared with the short-term results. The two most often occurring categories of critical findings are “infection / inflammation” and “oncology”, corresponding to the a large part of urgency level 2 (to be reported within 6 h) and level 3 (to be reported within 6 days), respectively. We conclude that contextual structured reporting is feasible for required elements in radiology reporting and for automated insertion of context-dependent data. Contextual structured reporting improves guideline adherence for communication of critical findings.
A technique of experiment aided virtual prototyping to obtain the best spindle speed during face milling of large-size structures
Authors: Kalinski Krzysztof J. , Galewski Marek A. , Mazur Michal R. , Morawska Natalia 
Published: July 2020

AbstractThe paper presents an original method concerning vibration suppression problem during milling of large-size and geometrically complicated workpieces with the use of novel way of selecting the spindle speed. This consists in repetitive simulations of the cutting process for subsequent values of the spindle speed, until the best vibration state of the workpiece is reached. An appropriate method of obtaining a computational model, called a modal approach, consists in identifying the parameters of the workpiece model created using the Finite Element Method (FEM). Thanks to the results of the identification of the modal subsystem obtained by the Experimental Modal Analysis (EMA) method, it can be stated that the parameters obtained from the experiment and delivered from the computational model have been correctly determined and constitute reliable process data for the simulation tests. The Root Mean Square (RMS) values of time domain displacements are evaluated. The efficiency of the proposed approach is evidenced by chosen technique of mechatronic design, called Experiment Aided Virtual Prototyping (EAVP). The proposed method is verified on the basis of the results of the experimental research of the relevant milling process.
A Cross-cultural Perspective on Intrathecal Opioid Therapy Between German and Iranian Patients
Authors: Kleinmann Barbara , Firoozabadi Nayereh Khodashenas , Wolter Tilman 
Published: July 2020

AbstractPatients often adhere to intrathecal opioid therapy (IOT) for many years, despite the lack of scientific evidence for its efficacy and the scarce knowledge about long-term effects. Moreover, there is no knowledge on how the efficacy of IOT is influenced by cultural factors. We assessed the long-term efficacy and frequency of side effects of IOT in two culturally different patient samples. A chart review was conducted of all patients with IOT, who had been treated in interdisciplinary pain centers in Freiburg and in Tehran in a 15-year span. Personal data, diagnosis, duration of pain disease, pump type in use, revision operations, and opioid doses were recorded. Patients completed a questionnaire containing pain scores, pain-related disability (PDI), anxiety, depression, and unwanted side effects. Fourteen Iranian and 36 German patients (32 m/18 f) were studied. Mean duration of IOT was 10.2 years. Pain levels prior to IOT were 7.64 (NRS) (range 4–10, SD 1.64), 3.86 (range 0–9, SD 2.32) directly after pump implantation, and 4.17 (range 0–10, SD 2.11) at time of follow-up. Iranian patients had significantly lower pain levels directly after implantation, depression scores, and pain-related disability. Frequent side effects were obstipation, sexual dysfunction, urinary retention, and fatigue. Most side effects were significantly less frequent in the Iranian sample. There were no severe complications or permanent neurological deficit. Our study demonstrates the effectiveness of IOT also for long-term application. Differences in clinical efficacy are partially due to cultural factors. Side effects are frequent but not limiting patient satisfaction.
The Interactive Impact of Land Cover and DEM Resolution on the Accuracy of Computed Streamflow Using the SWAT Model
Authors: Al-Khafaji Mahmoud , Saeed Fouad H. , Al-Ansari Nadhir 
Published: July 2020

AbstractTwenty daily time step–based SWAT simulation models for the Duhok, Adhaim and Dokan dam watersheds, in Iraq, were implemented using five land cover (LC) and digital elevation model (DEM) of different resolutions. The optimal LC and DEM for computing the most accurate streamflow for each watershed were specified. Results indicated that delineation of the flat watersheds is significantly affected by the DEM resolution and there was no evident trend on the computation of watersheds’ total areas, boundaries, number of subbasins and stream networks. Moreover, there is no significant trend between the increase in LC and DEM resolutions and accuracy of the computed streamflow. The most accurate streamflows for the Duhok, Adhaim and Dokan watersheds were computed using LC (DEM) of 30 m, 1000 m and 1000 m.
Ultrasound in augmented reality: a mixed-methods evaluation of head-mounted displays in image-guided interventions
Authors: Rüger Christoph , Feufel Markus A. , Moosburner Simon , Özbek Christopher , Pratschke Johann , Sauer Igor M. 
Published: July 2020

Abstract
Purpose
Augmented reality (AR) and head-mounted displays (HMD) in medical practice are current research topics. A commonly proposed use case of AR-HMDs is to display data in image-guided interventions. Although technical feasibility has been thoroughly shown, effects of AR-HMDs on interventions are not yet well researched, hampering clinical applicability. Therefore, the goal of this study is to better understand the benefits and limitations of this technology in ultrasound-guided interventions.

Methods
We used an AR-HMD system (based on the first-generation Microsoft Hololens) which overlays live ultrasound images spatially correctly at the location of the ultrasound transducer. We chose ultrasound-guided needle placements as a representative task for image-guided interventions. To examine the effects of the AR-HMD, we used mixed methods and conducted two studies in a lab setting: (1) In a randomized crossover study, we asked participants to place needles into a training model and evaluated task duration and accuracy with the AR-HMD as compared to the standard procedure without visual overlay and (2) in a qualitative study, we analyzed the user experience with AR-HMD using think-aloud protocols during ultrasound examinations and semi-structured interviews after the task.

Results
Participants (n = 20) placed needles more accurately (mean error of 7.4 mm vs. 4.9 mm, p = 0.022) but not significantly faster (mean task duration of 74.4 s vs. 66.4 s, p = 0.211) with the AR-HMD. All participants in the qualitative study (n = 6) reported limitations of and unfamiliarity with the AR-HMD, yet all but one also clearly noted benefits and/or that they would like to test the technology in practice.

Conclusion
We present additional, though still preliminary, evidence that AR-HMDs provide benefits in image-guided procedures. Our data also contribute insights into potential causes underlying the benefits, such as improved spatial perception. Still, more comprehensive studies are needed to ascertain benefits for clinical applications and to clarify mechanisms underlying these benefits.
Tectonic control on slow-moving Andean landslides in the Colca Valley, Peru
Authors: Gaidzik Krzysztof , Żaba Jerzy , Ciesielczuk Justyna 
Published: July 2020

AbstractThe Colca Valley in the Central Andes is a region characterized by the occurrence of large slow-moving landslides and a high level of seismic activity. In this study, we aimed to determine passive and active tectonic control on the formation of selected five large landslides in the Colca Valley and to assess geohazard associated with these features. For that purpose, we performed a post-landslide field survey, applied remote sensing techniques, and obtained eyewitness accounts. Recently, the need to understand mass movement processes in this region is even higher due to the establishment of the Colca y Volcanes de Andagua Geopark (Colca and Andagua Volcanoes Geopark). Our results suggest that the studied landslides usually represent a complex failure mechanism, dominated by translational sliding or rotational displacements, commonly associated with the formation of horst-and-graben like structures. We found a spatial correlation between the distribution of landslides and inherited fault network. The head scarps appear to be limited by the WNW- to NW-striking faults, whereas the lateral extent of some of the reported features seems to be connected with the NNE-striking normal faults, common in both, the Mesozoic strata and the Pleistocene-Holocene deposits.
miRNA Regulation of T Cells in Islet Autoimmunity and Type 1 Diabetes
Authors: Scherm Martin G. , Daniel Carolin 
Published: July 2020

AbstractPurpose of ReviewRegulatory T cells (Tregs) are critical contributors to immune homeostasis and their dysregulation can lead to the loss of immune tolerance and autoimmune diseases like type 1 diabetes (T1D). Recent studies have highlighted microRNAs (miRNAs) as important regulators of the immune system, by fine-tuning relevant genes in various immune cell types. In this review article, we discuss recent insights into miRNA regulation of immune tolerance and activation. Specifically, we discuss how the dysregulation of miRNAs in T cells contributes to their aberrant function and the onset of islet autoimmunity, as well as their potential as targets of novel intervention strategies to interfere with autoimmune activation.Recent FindingsSeveral studies have shown that the dysregulation of individual miRNAs in T cells can contribute to impaired immune tolerance, contributing to onset and progression of islet autoimmunity. Importantly, the targeting of these miRNAs, including miR-92a, miR-142-3p and miR-181a, resulted in relevant effects on downstream pathways, improved Treg function and reduced islet autoimmunity in murine models.SummarymiRNAs are critical regulators of immune homeostasis and the dysregulation of individual miRNAs in T cells contributes to aberrant T cell function and autoimmunity. The specific targeting of individual miRNAs could improve Treg homeostasis and therefore limit overshooting T cell activation and islet autoimmunity.
Social Network Interventions for HIV Transmission Elimination
Authors: Pagkas-Bather Jade , Young Lindsay E. , Chen Yen-Tyng , Schneider John A. 
Published: July 2020

AbstractPurpose of ReviewNetwork interventions for HIV prevention represent a potential area for growth in a globalizing world, where persons are more easily connected to one another through social media and networking applications. The basic tenets of network interventions such as (1) selection of a change agent, (2) segmentation, (3) induction, and (4) alteration represent myriad ways to structure network interventions for HIV prevention with the potential for large public health impact.Recent FindingsRecent studies have employed the use of social networking websites such as Facebook to identify key persons to recruit others and disseminate information aimed at decreasing HIV transmission and improving safe sex practices among groups who are more vulnerable to HIV acquisition. Many of these interventions have successfully decreased HIV risk behaviors as well as decreased the spread of HIV among intervention cohorts.SummaryNetwork interventions for HIV prevention provide more opportunities to reach populations who have not been reached through typical efforts employed in clinical and public health settings, though they are not currently widely employed by the public health community and other stakeholders.
RT-NET: real-time reconstruction of neural activity using high-density electroencephalography
Authors: Guarnieri Roberto , Zhao Mingqi , Taberna Gaia Amaranta , Ganzetti Marco , Swinnen Stephan P. , Mantini Dante 
Published: July 2020

AbstractHigh-density electroencephalography (hdEEG) has been successfully used for large-scale investigations of neural activity in the healthy and diseased human brain. Because of their high computational demand, analyses of source-projected hdEEG data are typically performed offline. Here, we present a real-time noninvasive electrophysiology toolbox, RT-NET, which has been specifically developed for online reconstruction of neural activity using hdEEG. RT-NET relies on the Lab Streaming Layer for acquiring raw data from a large number of EEG amplifiers and for streaming the processed data to external applications. RT-NET estimates a spatial filter for artifact removal and source activity reconstruction using a calibration dataset. This spatial filter is then applied to the hdEEG data as they are acquired, thereby ensuring low latencies and computation times. Overall, our analyses show that RT-NET can estimate real-time neural activity with performance comparable to offline analysis methods. It may therefore enable the development of novel brain–computer interface applications such as source-based neurofeedback.
Necrotising Fasciitis of Head and Neck in Infants
Authors: Sahoo Anjan kumar , Singh Ishwar , Dhakal Sunita , Gopal Ashish 
Published: July 2020

AbstractNecrotising fasciitis (NF) is a rapidly progressing soft tissue infection having high risk of morbidity and mortality. Though it is a common condition encounter in surgical practice for adults, it’s incidence in children are very low. In children also abdomen is the most common site for NF. It’s involvement in head and neck is extremely rare. Here we discuss the clinical features and management of three cases of NFs in head and neck region of infants and also look for the etiology, clinical presentation and management for same.
Legacy Effects of Hydrologic Alteration in Playa Wetland Responses to Droughts
Authors: Russell Micah T. , Cartwright Jennifer M. , Collins Gail H. , Long Ryan A. , Eitel Jan H. 
Published: July 2020

AbstractWetland conservation increasingly must account for climate change and legacies of previous land-use practices. Playa wetlands provide critical wildlife habitat, but may be impacted by intensifying droughts and previous hydrologic modifications. To inform playa restoration planning, we asked: (1) what are the trends in playa inundation? (2) what are the factors influencing inundation? (3) how is playa inundation affected by increasingly severe drought? (4) do certain playas provide hydrologic refugia during droughts, and (5) if so, how are refugia patterns related to historical modifications? Using remotely sensed surface-water data, we evaluated a 30-year time series (1985–2015) of inundation for 153 playas of the Great Basin, USA. Inundation likelihood and duration increased with wetter weather conditions and were greater in modified playas. Inundation probability was projected to decrease from 22% under average conditions to 11% under extreme drought, with respective annual inundation decreasing from 1.7 to 0.9 months. Only 4% of playas were inundated for at least 2 months in each of the 5 driest years, suggesting their potential as drought refugia. Refugial playas were larger and more likely to have been modified, possibly because previous land managers selected refugial playas for modification. These inundation patterns can inform efforts to restore wetland functions and to conserve playa habitats as climate conditions change.
Living with floating vegetation invasions
Authors: Kleinschroth Fritz , Winton R. Scott , Calamita Elisa , Niggemann Fabian , Botter Martina , Wehrli Bernhard , Ghazoul Jaboury 
Published: July 2020

AbstractInvasions of water bodies by floating vegetation, including water hyacinth (Eichhornia crassipes), are a huge global problem for fisheries, hydropower generation, and transportation. We analyzed floating plant coverage on 20 reservoirs across the world’s tropics and subtropics, using > 30 year time-series of LANDSAT remote-sensing imagery. Despite decades of costly weed control, floating invasion severity is increasing. Floating plant coverage correlates with expanding urban land cover in catchments, implicating urban nutrient sources as plausible drivers. Floating vegetation invasions have undeniable societal costs, but also provide benefits. Water hyacinths efficiently absorb nutrients from eutrophic waters, mitigating nutrient pollution problems. When washed up on shores, plants may become compost, increasing soil fertility. The biomass is increasingly used as a renewable biofuel. We propose a more nuanced perspective on these invasions moving away from futile eradication attempts towards an ecosystem management strategy that minimizes negative impacts while integrating potential social and environmental benefits.
Developing and piloting a&nbsp;well-being program for hospital-based physicians
Authors: Debets Maarten P. M. , Lombarts KikiM. J. M. H. , Hugenholtz Nathalie I. R. , Scheepers Renée A. 
Published: July 2020

Background Demanding working conditions in medical practice pressurise the well-being of physicians across all career stages, likely harming patients and healthcare systems. Structural solutions to harmful working conditions are necessary as well as interventions to support physicians in contemporary practice. We report on developing and piloting a team-based program for physicians to improve their working conditions and well-being.
Approach Program development steps involved: a preparatory phase, needs assessment, and program design. The program consisted of (1) a feedback tool addressing working conditions and well-being, and an intervention including (2a) a facilitated team dialogue and (2b) a team training on communication and collaborative job crafting. In the program’s pilot, 377 physicians from 48 teams in 14 Dutch hospitals used the feedback tool. Four teams participated in the team dialogue. Two teams performed the team training.
Evaluation Physicians indicated that the program was a useful format to gain insight into their working conditions and well-being, and possibly to improve their well-being collaboratively.
Reflection We provide seven critical reflections on developing and piloting our program, accompanied by recommendations for developing well-being interventions. Our development approach, program components, and recommendations may support physicians and other healthcare professionals in demanding work environments.
The Mechanical Response of Wet Volcanic Sand to Impact Loading, Effects of Water Content and Initial Compaction
Authors: Varley L. , Rutherford M. E. , Zhang L. , Pellegrino A. 
Published: July 2020

AbstractThe effects of water content and initial compaction on the dynamic response of volcanic sand from Mount Etna were investigated by a series of experiments on a long Split Hopkinson Pressure Bar apparatus capable of generating stress pulses of duration exceeding one millisecond. The dynamic stress–strain characteristics were determined until large final compressive strains were achieved. An experimental protocol for the preparation of samples characterised by different initial porosity and moisture content was defined in order to reproduce, in a laboratory environment, granular volcanic aggregates representative of naturally occurring soils in different initial density and water content states. It was found that, for limited amounts of water content, the dynamic response of the investigated volcanic wet sand is more compliant than in dry conditions. Conversely, highly saturated samples exhibit a steep increase in stiffness occurring at strains when the dynamic compressive behaviour becomes dominated by the response of the nearly incompressible water. The presence of water has negligible effect on the mechanical behaviour when the samples are loaded at quasi static strain rates. The grain size distribution and morphology of samples tested in different conditions were evaluated and compared by means of edge detection analysis techniques applied to high contrast images.
Identification of Key Genes for the Ultrahigh Yield of Rice Using Dynamic Cross-Tissue Network Analysis
Authors: Hu Jihong , Zeng Tao , Xia Qiongmei , Huang Liyu , Zhang Yesheng , Zhang Chuanchao , Zeng Yan , Liu Hui , Zhang Shilai , Huang Guangfu , Wan Wenting , Ding Yi , Hu Fengyi , Yang Congdang , Chen Luonan , Wang Wen 
Published: July 2020

Abstract
Significantly increasing crop yield is a major and worldwide challenge for food supply and security. It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide. Yet, the gene regulatory mechanism underpinning this ultrahigh yield has been a mystery. Here, we systematically collected the transcriptome data for seven key tissues at different developmental stages using rice cultivated both at Taoyuan as the case group and at another regular rice planting place Jinghong as the control group. We identified the top 24 candidate high-yield genes with their network modules from these well-designed datasets by developing a novel computational systems biology method, i.e., dynamic cross-tissue (DCT) network analysis. We used one of the candidate genes, OsSPL4, whose function was previously unknown, for gene editing experimental validation of the high yield, and confirmed that OsSPL4 significantly affects panicle branching and increases the rice yield. This study, which included extensive field phenotyping, cross-tissue systems biology analyses, and functional validation, uncovered the key genes and gene regulatory networks underpinning the ultrahigh yield of rice. The DCT method could be applied to other plant or animal systems if different phenotypes under various environments with the common genome sequences of the examined sample. DCT can be downloaded from https://github.com/ztpub/DCT.