bluuebunny/crossref_metadata_2025_split huggingface dataset:
Laparoscopic simple prostatectomy vs bipolar plasma enucleation of the prostate in large benign prostatic hyperplasia: a two-center 3-year comparison
Authors: Lombardo Riccardo , Zarraonandia Andraca Anton , Plaza Alonso Cristina , González-Dacal Juan Andres , Rodríguez Núñez Higinio , Barreiro Mallo Aaron , Gentile Barbara Cristina , Tema Giorgia , Albanesi Luca , Mavilla Luca , Baldassarri Valeria , De Nunzio Cosimo , Tubaro Andrea , Ruibal Moldes Manuel , Giulianelli Roberto 
Published: November 2020

Abstract
Purpose
To compare surgery outcomes and safety of button bipolar enucleation of the prostate vs laparoscopic simple prostatectomy in patients with large prostates (> 80 g) in a two-center cohort study.

Methods
All patients with lower urinary tract symptoms due to benign prostatic enlargement (Prostate volume > 80 cc) undergoing button bipolar enucleation of the prostate (BTUEP) or laparoscopic simple prostatectomy (LSP) in two centers were enrolled. Data on clinical history, physical examination, urinary symptoms, uroflowmetry and prostate volume were collected at 0, 1, 3 6, 12, 24 and 36 months. Early and long-term complications were recorded.

Results
Overall, 296 patients were enrolled. Out of them, 167/296 (56%) performed a LSP and 129/296 (44%) performed a BTUEP. In terms of efficacy both procedures showed durable results at three years with a reintervention rate of 8% in the LSP group and of 5% in the BTUEP group. In terms of safety, BTUEP and LSP presented similar safety profiles with a 9% of transfusion rate and no major complications.

Conclusion
LSP and BTUEP are safe and effective in treating large-volume adenomas with durable results at three years when performed in experienced centers.
An evaluation of semidistributed-pipe-network and distributed-finite-difference models to simulate karst systems
Authors: Gill L. W. , Schuler P. , Duran L. , Morrissey P. , Johnston P. M. 
Published: November 2020

AbstractSeveral different approaches have been developed to model the specific characteristics of karst aquifers, taking account of their inherent complex spatial and temporal heterogeneities. This paper sets out the development of a semidistributed modelling approach for applications in an Irish karst context using urban drainage software. The models have proven to be very useful for different studies, with examples given for the ecohydrology of ephemeral karst lakes, extreme groundwater-flood alleviation, karst network investigation, submarine groundwater discharge, and quantification of different recharge and flow components. The limitations of the approach are also highlighted, in particular not being able to simulate diffuse infiltration and flow paths explicitly across the groundwater catchment. Hence, a more distributed, finite-difference modelling approach using MODFLOW Unstructured Grid (USG) with the newly developed Connected Linear Network (CLN) process is then compared against the semidistributed approach on the same karst catchment. Whilst it has proven difficult to achieve the same levels of model performance in simulating the spring flows in the distributed model compared to the semidistributed model, the ability to interrogate the flow paths at any point on the three-dimensional aquifer is demonstrated, which can give new insights into flows (and potential contaminant transport) through such complex systems. The influence of the proximity of highly transmissive conduits on the flow dynamics through the much-lower transmissive matrix cells in which the network is embedded has been particularly investigated.
Incidence of COVID-19 in patients with rheumatic disease: is prior health education more important than shielding advice during the pandemic?
Authors: Kipps Sarah , Paul Anindita , Vasireddy Sreekanth 
Published: November 2020

AbstractThe COVID-19 pandemic has led to major changes in clinical practice on a global scale in order to protect patients. This includes the identification of vulnerable patients who should “shield” in order to reduce the likelihood of contracting SARS-CoV2. We used national specialty guidance and an adapted screening tool to risk stratify patients identified from our prescribing and monitoring databases, and identify those needing to shield (score ≥ 3) using information from departmental letters, online general practice records and recent laboratory investigations. We collated underlying rheumatological conditions and risk factors. Two months into the shielding process, we examined the COVID-19 status of these patients using hospital laboratory records and compared to population level data. Of 887 patients assessed, 248 (28%) scored ≥ 3 and were sent a standard shielding letter. The most common risk factor in the shielding letter group was age ≥ 70 years and/or presence of a listed co-morbidity (199 patients). The most common rheumatology conditions were rheumatoid arthritis (69.4%), polymyalgia rheumatica (8.5%) and giant cell arteritis (8.5%). Coronavirus incidence rates were similar in the shielding letter group (0.403%) and in the UK population (0.397%). However, we found a trend towards lower incidence (0.113%) in our whole cohort (RR 0.28, 95%CI 0.04–2.01 for the whole cohort compared to UK population). The trend towards lower incidence in this cohort could be because of prior education regarding general infection risk and response to public health messages. While risk stratification and shielding could be effective, prior education regarding general infection risk and public health messages to enhance health protection behaviours during a pandemic may have equal or more important roles.

Key Points• Patients on treatment for rheumatic disorders showed a trend for lower incidence of COVID-19 transmission irrespective of shielding letter status• This could potentially be because of prior education regarding infection risk received when starting on disease-modifying medication• Health education influencing health protection behaviours may be of equal or more importance than shielding information in reducing transmission of SARS-CoV-2
Time-course transcriptomics reveals that amino acids catabolism plays a key role in toxinogenesis and morphology in Clostridium tetani
Authors: Orellana Camila A , Zaragoza Nicolas E , Licona-Cassani Cuauhtemoc , Palfreyman Robin W , Cowie Nicholas , Moonen Glenn , Moutafis George , Power John , Nielsen Lars K , Marcellin Esteban 
Published: November 2020

Abstract
Tetanus is a fatal disease caused by Clostridium tetani infections. To prevent infections, a toxoid vaccine, developed almost a century ago, is routinely used in humans and animals. The vaccine is listed in the World Health Organisation list of Essential Medicines and can be produced and administered very cheaply in the developing world for less than one US Dollar per dose. Recent developments in both analytical tools and frameworks for systems biology provide industry with an opportunity to gain a deeper understanding of the parameters that determine C. tetani virulence and physiological behaviour in bioreactors. Here, we compared a traditional fermentation process with a fermentation medium supplemented with five heavily consumed amino acids. The experiment demonstrated that amino acid catabolism plays a key role in the virulence of C. tetani. The addition of the five amino acids favoured growth, decreased toxin production and changed C. tetani morphology. Using time-course transcriptomics, we created a “fermentation map”, which shows that the tetanus toxin transcriptional regulator BotR, P21 and the tetanus toxin gene was downregulated. Moreover, this in-depth analysis revealed potential genes that might be involved in C. tetani virulence regulation. We observed differential expression of genes related to cell separation, surface/cell adhesion, pyrimidine biosynthesis and salvage, flagellar motility, and prophage genes. Overall, the fermentation map shows that, mediated by free amino acid concentrations, virulence in C. tetani is regulated at the transcriptional level and affects a plethora of metabolic functions.
Biomechanics of Human Fetal Hearts with Critical Aortic Stenosis
Authors: Ong Chi Wei , Ren Meifeng , Wiputra Hadi , Mojumder Joy , Chan Wei Xuan , Tulzer Andreas , Tulzer Gerald , Buist Martin Lindsay , Mattar Citra Nurfarah Zaini , Lee Lik Chuan , Yap Choon Hwai 
Published: November 2020

AbstractCritical aortic stenosis (AS) of the fetal heart causes a drastic change in the cardiac biomechanical environment. Consequently, a substantial proportion of such cases will lead to a single-ventricular birth outcome. However, the biomechanics of the disease is not well understood. To address this, we performed Finite Element (FE) modelling of the healthy fetal left ventricle (LV) based on patient-specific 4D ultrasound imaging, and simulated various disease features observed in clinical fetal AS to understand their biomechanical impact. These features included aortic stenosis, mitral regurgitation (MR) and LV hypertrophy, reduced contractility, and increased myocardial stiffness. AS was found to elevate LV pressures and myocardial stresses, and depending on severity, can drastically decrease stroke volume and myocardial strains. These effects are moderated by MR. AS alone did not lead to MR velocities above 3 m/s unless LV hypertrophy was included, suggesting that hypertrophy may be involved in clinical cases with high MR velocities. LV hypertrophy substantially elevated LV pressure, valve flow velocities and stroke volume, while reducing LV contractility resulted in diminished LV pressure, stroke volume and wall strains. Typical extent of hypertrophy during fetal AS in the clinic, however, led to excessive LV pressure and valve velocity in the FE model, suggesting that reduced contractility is typically associated with hypertrophy. Increased LV passive stiffness, which might represent fibroelastosis, was found to have minimal impact on LV pressures, stroke volume, and wall strain. This suggested that fibroelastosis could be a by-product of the disease progression and does not significantly impede cardiac function. Our study demonstrates that FE modelling is a valuable tool for elucidating the biomechanics of congenital heart disease and can calculate parameters which are difficult to measure, such as intraventricular pressure and myocardial stresses.
An integrated approach to investigate climate-driven rockfall occurrence in high alpine slopes: the Bessanese glacial basin, Western Italian Alps
Authors: Viani Cristina , Chiarle Marta , Paranunzio Roberta , Merlone Andrea , Musacchio Chiara , Coppa Graziano , Nigrelli Guido 
Published: November 2020

Abstract
Rockfalls are one of the most common instability processes in high mountains. They represent a relevant issue, both for the risks they represent for (infra) structures and frequentation, and for their potential role as terrestrial indicators of climate change. This study aims to contribute to the growing topic of the relationship between climate change and slope instability at the basin scale. The selected study area is the Bessanese glacial basin (Western Italian Alps) which, since 2016, has been specifically equipped, monitored and investigated for this purpose. In order to provide a broader context for the interpretation of the recent rockfall events and associated climate conditions, a cross-temporal and integrated approach has been adopted. For this purpose, geomorphological investigations (last 100 years), local climate (last 30 years) and near-surface rock/air temperatures analyses, have been carried out. First research outcomes show that rockfalls occurred in two different geomorphological positions: on rock slopes in permafrost condition, facing from NW to NE and/or along the glacier margins, on rock slopes uncovered by the ice in the last decades. Seasonal thaw of the active layer and/or glacier debutressing can be deemed responsible for slope failure preparation. With regard to timing, almost all dated rock falls occurred in summer. For the July events, initiation may have been caused by a combination of rapid snow melt and enhanced seasonal thaw of the active layer due to anomalous high temperatures, and rainfall. August events are, instead, associated with a significant positive temperature anomaly on the quarterly scale, and they can be ascribed to the rapid and/or in depth thaw of the permafrost active layer. According to our findings, we can expect that in the Bessanese glacierized basin, as in similar high mountain areas, climate change will cause an increase of slope instability in the future. To fasten knowledge deepening, we highlight the need for a growth of a network of high elevation experimental sites at the basin scale, and the definition of shared methodological and measurement standards, that would allow a more rapid and effective comparison of data.
Impact of herbivore preference on the benefit of plant trait variability
Authors: Thiel Tatjana , Gaschler Sarah , Mody Karsten , Blüthgen Nico , Drossel Barbara 
Published: November 2020

AbstractWe explore the hypothesis that intraspecific trait variability can beper sebeneficial for the plant when the curvature of the herbivore response to this trait is concave downwards. This hypothesis is based on a mathematical relation for nonlinear averaging (Jensen’s inequality), leading to reduced herbivory when the trait distribution becomes broader. Our study introduces and investigates a model for plants and their insect herbivores that includes an unequal distribution of nutrient content between leaves. In contrast to earlier publications, we take into account the ability of herbivores to choose leaves, and the associated costs of this preference behavior. By performing computer simulations and analytic calculations, we find that this herbivore preference can considerably alter the conclusion cited above. In particular, we demonstrate that herbivore populations that show preference for leaves on which they grow well can benefit from large nutrient-level variability independently of the curvature of the herbivore response function, despite the cost for preference.
Social Robots on a Global Stage: Establishing a Role for Culture During Human–Robot Interaction
Authors: Lim Velvetina , Rooksby Maki , Cross Emily S. 
Published: November 2020

AbstractRobotic agents designed to assist people across a variety of social and service settings are becoming increasingly prevalent across the world. Here we synthesise two decades of empirical evidence from human–robot interaction (HRI) research to focus on cultural influences on expectations towards and responses to social robots, as well as the utility of robots displaying culturally specific social cues for improving human engagement. Findings suggest complex and intricate relationships between culture and human cognition in the context of HRI. The studies reviewed here transcend the often-studied and prototypical east–west dichotomy of cultures, and explore how people’s perceptions of robots are informed by their national culture as well as their experiences with robots. Many of the findings presented in this review raise intriguing questions concerning future directions for robotics designers and cultural psychologists, in terms of conceptualising and delivering culturally sensitive robots. We point out that such development is currently limited by heterogenous methods and low statistical power, which contribute to a concerning lack of generalisability. We also propose several avenues through which future work may begin to address these shortcomings. In sum, we highlight the critical role of culture in mediating efforts to develop robots aligned with human users’ cultural backgrounds, and argue for further research into the role of culturally-informed robotic development in facilitating human–robot interaction.
Multi-scale fracture prediction and characterization method of a fractured carbonate reservoir
Authors: Xiaoxia Zhang , Jiajie Yu , Nianyin Li , Chao Wang 
Published: November 2020

AbstractThe WZ oilfield is characterized by a small production range, low recovery degree, strong reservoir heterogeneity, and complex fracture distribution. At present, there is no quantitative evaluation method for fractures of different scales. This causes problems that include an unclear understanding of reservoirs’ physical properties and remaining oil distribution and seepage characteristics. In this paper, multi-scale fracture prediction and a quantitative characterization method of a fractured carbonate reservoir are studied using three-dimensional seismic imaging logging and regional tectonic stress field distribution data. On the basis of analogs, variance cube, curvature, and the Pompano through-flowline system, large-scale crack recognition is carried out. Combined with the maximum positive curvature attribute, fracture density, and fracture direction interpreted by imaging logging, a small- and medium-sized fracture model is established. Finally, the multi-scale fracture prediction is carried out. This study has important theoretical significance for accurately describing and characterizing the multi-scale fracture distribution law and guiding the fine development of oilfields.
Classification of fires in coal waste dumps based on Landsat, Aster thermal bands and thermal camera in Polish and Ukrainian mining regions
Authors: Nádudvari Ádám , Abramowicz Anna , Fabiańska Monika , Misz-Kennan Magdalena , Ciesielczuk Justyna 
Published: November 2020

AbstractA self-heating intensity index (SHII) based on the highest (pixel max.) and lowest (pixel min.) values taken from satellite thermal maps of burning coal waste dumps are proposed. The index enables the classification of such fires in Ukrainian- and Polish coal waste dumps. Both in Ukraine and in Poland, varying thermal intensities during 1985–2019 are revealed, using the SHII and following thermal intensity threshold values, namely, extreme thermal activity (> 7), advanced (3–7), moderate (3–1.5), initial (1.5–1), no activity (< 1). The SHII shows decreasing thermal activity in the selected Ukrainian coal waste dumps during 2017–2019. It aids in reconstructing the thermal history of the dumps. Analysis of satellite images revealed a large number of burning coal waste dumps in the Donetsk Coal Basin (Ukraine) with high thermal activity. Such burning likely reflects large amounts of organic matter and sulphides in the dumped material subjected to self-heating and self-burning processes, lack of compaction of the coal waste and/or high methane contents. Comparison of SHII values calculated from satellite- and drone thermal-camera images were compared to show that SHII from drone thermal images have much higher values than those from satellite images; the former have better resolution. Thus, SHII from Landsat- and drone images should be used separately in dump heating studies.
Obstacles vs. Resources - Comparing the Effects of a Problem-Focused, Solution-Focused and Combined Approach on Perceived Goal Attainability and Commitment
Authors: Abdulla Adam , Woods Ruth 
Published: November 2020

AbstractPrevious research suggests that solution-focused (SF) questions may be superior to problem-focused (PF) alternatives for a range of practical and psychological outcomes. However, a great deal remains unknown regarding the effects of specific SF (or PF) approaches and the mechanisms through which they occur. The aim of this pre-registered study was to investigate the extent to which SF questions targeting resources have a more positive effect on perceived goal attainability (PGA) and goal commitment than PF questions targeting obstacles or a combination of PF & SF questions targeting both resources and obstacles. 115 students aged 15–16 were randomly assigned to either (i) a SF condition targeting resources, (ii) a PF condition targeting obstacles or (iii) a combined-approach condition targeting both. All participants were asked to identify a challenging area of study before answering condition-specific questions. Although not all statistically significant, results indicated that the SF group had higher mean PGA and goal commitment than both the PF and combined PF & SF group. Effect size estimates were small-to-medium for PGA and small for goal commitment. Results of a mediation analysis suggested that condition had an indirect effect on goal commitment through enhanced PGA. Qualitative data analysis suggested that the PF question was more likely than the SF question to elicit thoughts of self-regulation, whereas the SF question was more likely to elicit thoughts of tools and resources. These findings are consistent with those from previous research and broaden our understanding of SF (vs PF) questions.
Future Changes in Climate over the Arabian Peninsula based on CMIP6 Multimodel Simulations
Authors: Almazroui Mansour , Islam M. Nazrul , Saeed Sajjad , Saeed Fahad , Ismail Muhammad 
Published: November 2020

AbstractThis paper presents the changes in projected temperature and precipitation over the Arabian Peninsula for the twenty-first century using the Coupled Model Intercomparison Project phase 6 (CMIP6) dataset. The changes are obtained by analyzing the multimodel ensemble from 31 CMIP6 models for the near (2030–2059) and far (2070–2099) future periods, with reference to the base period 1981–2010, under three future Shared Socioeconomic Pathways (SSPs). Observations show that the annual temperature is rising at the rate of 0.63 ˚C decade–1 (significant at the 99% confidence level), while annual precipitation is decreasing at the rate of 6.3 mm decade–1 (significant at the 90% confidence level), averaged over Saudi Arabia. For the near (far) future period, the 66% likely ranges of annual-averaged temperature is projected to increase by 1.2–1.9 (1.2–2.1) ˚C, 1.4–2.1 (2.3–3.4) ˚C, and 1.8–2.7 (4.1–5.8) ˚C under SSP1–2.6, SSP2–4.5, and SSP5–8.5, respectively. Higher warming is projected in the summer than in the winter, while the Northern Arabian Peninsula (NAP) is projected to warm more than Southern Arabian Peninsula (SAP), by the end of the twenty-first century. For precipitation, a dipole-like pattern is found, with a robust increase in annual mean precipitation over the SAP, and a decrease over the NAP. The 66% likely ranges of annual-averaged precipitation over the whole Arabian Peninsula is projected to change by 5 to 28 (–3 to 29) %, 5 to 31 (4 to 49) %, and 1 to 38 (12 to 107) % under SSP1–2.6, SSP2–4.5, and SSP5–8.5, respectively, in the near (far) future. Overall, the full ranges in CMIP6 remain higher than the CMIP5 models, which points towards a higher climate sensitivity of some of the CMIP6 climate models to greenhouse gas (GHG) emissions as compared to the CMIP5. The CMIP6 dataset confirmed previous findings of changes in future climate over the Arabian Peninsula based on CMIP3 and CMIP5 datasets. The results presented in this study will be useful for impact studies, and ultimately in devising future policies for adaptation in the region.
Experimental Investigation of Reactive-Inert Particulate Matter Detachment from Metal Fibres at Low Flow Velocities and Different Gas Temperatures
Authors: Zoller Julian , Zargaran Amin , Braschke Kamil , Meyer Jörg , Janoske Uwe , Dittler Achim 
Published: November 2020

AbstractThe detachment of particle structures from single fibres in gas flow has been investigated only for inert particle structures yet. This study investigates the detachment of particle structures containing reactive components. These reactive components disappear during the reaction and enhance detachment at low flow velocities. Soot was used as the reactive component and glass spheres as the inert component of the particle structure. The soot disappears due to combustion with oxygen leaving only the glass spheres on the fibre. Without reaction, the detachment phenomenon was observed at superficial flow velocities above 1.9 m/s and with reaction at 0.5 m/s. This shows that reacting and disappearing components of the particle structure can enhance detachment.