bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inter-observer variability of cribriform architecture and percent Gleason pattern 4 in prostate cancer: relation to clinical outcome
Authors: van der Slot Margaretha A. , Hollemans Eva , den Bakker Michael A. , Hoedemaeker Robert , Kliffen Mike , Budel Leo M. , Goemaere Natascha N. T. , van Leenders Geert J. L. H. 
Published: August 2020

AbstractThe Grade group is an important parameter for clinical decision-making in prostate cancer. Recently, percent Gleason pattern 4 and presence of invasive cribriform and/or intraductal carcinoma (CR/IDC) have been recognized for their independent predictive value for prostate cancer outcome. There is sparse data on the inter-observer agreement for these pathologic features in practice. Our objectives were to investigate inter-observer variability of percent Gleason pattern and CR/IDC and to relate individual tumour scores to clinical outcome. Our cohort included 80 consecutive radical prostatectomies with a median follow-up 87.1 months (interquartile range 43.3–119.2), of which the slide with largest tumour volume was scored by six pathologists for Grade group (four tiers: 1, 2, 3 and 4/5), percent Gleason pattern 4 (four tiers: 0–25%, 26–50%, 51–75% and 76–100%) and presence of CR/IDC (two tiers: absent, present). The individual assignments were related to post-operative biochemical recurrence (20/80). Inter-observer agreement was substantial (Krippendorff’sα0.626) for assessment of Grade group and moderate for CR/IDC (α0.507) and percent Gleason pattern 4 (α0.551). For each individual pathologist, biochemical recurrence rates incremented by Grade group and presence of CR/IDC, although such relation was less clear for percent Gleason pattern 4. In conclusion, inter-observer agreement for CR/IDC and percent Gleason pattern 4 is lower than for Grade groups, indicating awareness of these features needs further improvement. Grade group and CR/IDC, but not percent Gleason pattern 4 was related to biochemical recurrence for each pathologist, indicating overall validity of individual grade assignments despite inter-observer variability.
On the density of “wild” initial data for the compressible Euler system
Authors: Feireisl Eduard , Klingenberg Christian , Markfelder Simon 
Published: August 2020

AbstractWe consider a class of “wild” initial data to the compressible Euler system that give rise to infinitely many admissible weak solutions via the method of convex integration. We identify the closure of this class in the natural$$L^1$$L1-topology and show that its complement is rather large, specifically it is an open dense set.
Optical character recognition with neural networks and post-correction with finite state methods
Authors: Drobac Senka , Lindén Krister 
Published: August 2020

AbstractThe optical character recognition (OCR) quality of the historical part of the Finnish newspaper and journal corpus is rather low for reliable search and scientific research on the OCRed data. The estimated character error rate (CER) of the corpus, achieved with commercial software, is between 8 and 13%. There have been earlier attempts to train high-quality OCR models with open-source software, like Ocropy (https://github.com/tmbdev/ocropy) and Tesseract (https://github.com/tesseract-ocr/tesseract), but so far, none of the methods have managed to successfully train a mixed model that recognizes all of the data in the corpus, which would be essential for an efficient re-OCRing of the corpus. The difficulty lies in the fact that the corpus is printed in the two main languages of Finland (Finnish and Swedish) and in two font families (Blackletter and Antiqua). In this paper, we explore the training of a variety of OCR models with deep neural networks (DNN). First, we find an optimal DNN for our data and, with additional training data, successfully train high-quality mixed-language models. Furthermore, we revisit the effect of confidence voting on the OCR results with different model combinations. Finally, we perform post-correction on the new OCR results and perform error analysis. The results show a significant boost in accuracy, resulting in 1.7% CER on the Finnish and 2.7% CER on the Swedish test set. The greatest accomplishment of the study is the successful training of one mixed language model for the entire corpus and finding a voting setup that further improves the results.
Rock support prediction based on measurement while drilling technology
Authors: van Eldert Jeroen , Funehag Johan , Saiang David , Schunnesson Håkan 
Published: August 2020

AbstractIn tunnelling, rock mass support is designed based on the observed rock mass conditions. These conditions are determined by rock mass characterization. Measurement while drilling (MWD), one such characterization method, acquires drill parameter data during drilling. These data can be used to predict rock mass conditions ahead of the face. In this study, grout-hole MWD data are collected at one of the main tunnels in the large infrastructural project Stockholm bypass tunnels. The normalized and filtered MWD data are correlated to the rock mass characteristics using multilinear regression and the Levenberg-Marquardt method. Although a strong numerical correlation cannot be obtained, the results are promising. As a result, a holistic visual approach, which linked the MWD parameters with the rock mass classification and rock support requirements, was developed.
Sclerostin is an independent risk factor for all-cause mortality in kidney transplant recipients
Authors: Zeng Shufei , Slowinski Torsten , Pommer Wolfgang , Hasan Ahmed A. , Gaballa Mohamed M. S. , Lu Yongping , Krämer Bernhard K. , Hocher Berthold 
Published: August 2020

Abstract
Background
Sclerostin is a hormone contributing to the bone-vascular wall cross talk and has been implicated in cardiovascular events and mortality in patients with chronic kidney disease (CKD). We analyzed the relationship between sclerostin and mortality in renal transplant recipients.

Methods
600 stable renal transplant recipients (367men, 233 women) were followed for all-cause mortality for 3 years. Blood and urine samples for analysis and clinical data were collected at study entry. We performed Kaplan–Meier survival analysis and Cox regression models considering confounding factors such as age, eGFR, cold ischemia time, HbA1c, phosphate, calcium, and albumin. Optimal cut-off values for the Cox regression model were calculated based on ROC analysis.

Results
Sixty-five patients died during the observation period. Nonsurvivors (n = 65; sclerostin 57.31 ± 30.28 pmol/L) had higher plasma sclerostin levels than survivors (n = 535; sclerostin 47.52 ± 24.87 pmol/L) (p = 0.0036). Kaplan–Meier curve showed that baseline plasma sclerostin concentrations were associated with all-cause mortality in stable kidney transplant recipients (p = 0.0085, log-rank test). After multiple Cox regression analysis, plasma levels of sclerostin remained an independent predictor of all-cause mortality (hazard ratio, 1.011; 95% CI 1.002–1.020; p = 0.0137).

Conclusions
Baseline plasma sclerostin is an independent risk factor for all-cause mortality in patients after kidney transplantation.
Neuromorphic Model of Reflex for Realtime Human-Like Compliant Control of Prosthetic Hand
Authors: Niu Chuanxin M. , Luo Qi , Chou Chih-hong , Liu Jiayue , Hao Manzhao , Lan Ning 
Published: August 2020

AbstractCurrent control of prosthetic hands is ineffective when grasping deformable, irregular, or heavy objects. In humans, grasping is achieved under spinal reflexive control of the musculotendon skeletal structure, which produces a hand stiffness commensurate with the task. We hypothesize that mimicking reflex on a prosthetic hand may improve grasping performance and safety when interacting with human. Here, we present a design of compliant controller for prosthetic hand with a neuromorphic model of human reflex. The model includes 6 motoneuron pools containing 768 spiking neurons, 1 muscle spindle with 128 spiking afferents, and 1 modified Hill-type muscle. Models are implemented using neuromorphic hardware with 1 kHz real-time computing. Experimental tests showed that the prosthetic hand could sustain a 40 N load compared to 95 N for an adult. Stiffness range was adjustable from 60 to 640 N/m, about 46.6% of that of human hand. The grasping velocity could be ramped up to 14.4 cm/s, or 24% of the human peak velocity. The complaint control could switch between free movement and contact force when pressing a deformable beam. The amputee can achieve a 47% information throughput of healthy humans. Overall, the reflex-enabled prosthetic hand demonstrated the attributes of human compliant grasping with the neuromorphic model of spinal neuromuscular reflex.
Anemia and iron metabolism in COVID-19: a systematic review and meta-analysis
Authors: Taneri Petek Eylul , Gómez-Ochoa Sergio Alejandro , Llanaj Erand , Raguindin Peter Francis , Rojas Lyda Z. , Roa-Díaz Zayne Milena , Salvador Dante , Groothof Dion , Minder Beatrice , Kopp-Heim Doris , Hautz Wolf E. , Eisenga Michele F. , Franco Oscar H. , Glisic Marija , Muka Taulant 
Published: August 2020

AbstractIron metabolism and anemia may play an important role in multiple organ dysfunction syndrome in Coronavirus disease 2019 (COVID-19). We conducted a systematic review and meta-analysis to evaluate biomarkers of anemia and iron metabolism (hemoglobin, ferritin, transferrin, soluble transferrin receptor, hepcidin, haptoglobin, unsaturated iron-binding capacity, erythropoietin, free erythrocyte protoporphyrine, and erythrocyte indices) in patients diagnosed with COVID-19, and explored their prognostic value. Six bibliographic databases were searched up to August 3rd 2020. We included 189 unique studies, with data from 57,563 COVID-19 patients. Pooled mean hemoglobin and ferritin levels in COVID-19 patients across all ages were 129.7 g/L (95% Confidence Interval (CI), 128.51; 130.88) and 777.33 ng/mL (95% CI, 701.33; 852.77), respectively. Hemoglobin levels were lower with older age, higher percentage of subjects with diabetes, hypertension and overall comorbidities, and admitted to intensive care. Ferritin level increased with older age, increasing proportion of hypertensive study participants, and increasing proportion of mortality. Compared to moderate cases, severe COVID-19 cases had lower hemoglobin [weighted mean difference (WMD), − 4.08 g/L (95% CI − 5.12; − 3.05)] and red blood cell count [WMD, − 0.16 × 1012/L (95% CI − 0.31; − 0.014)], and higher ferritin [WMD, − 473.25 ng/mL (95% CI 382.52; 563.98)] and red cell distribution width [WMD, 1.82% (95% CI 0.10; 3.55)]. A significant difference in mean ferritin levels of 606.37 ng/mL (95% CI 461.86; 750.88) was found between survivors and non-survivors, but not in hemoglobin levels. Future studies should explore the impact of iron metabolism and anemia in the pathophysiology, prognosis, and treatment of COVID-19.
Voter and Majority Dynamics with Biased and Stubborn Agents
Authors: Mukhopadhyay Arpan , Mazumdar Ravi R. , Roy Rahul 
Published: August 2020

AbstractWe study binary opinion dynamics in a fully connected network of interacting agents. The agents are assumed to interact according to one of the following rules: (1) Voter rule: An updating agent simply copies the opinion of another randomly sampled agent; (2) Majority rule: An updating agent samples multiple agents and adopts the majority opinion in the selected group. We focus on the scenario where the agents are biased towards one of the opinions called the preferred opinion. Using suitably constructed branching processes, we show that under both rules the mean time to reach consensus is $$\varTheta (\log N)$$

Θ
(
log
N
)

, where N is the number of agents in the network. Furthermore, under the majority rule model, we show that consensus can be achieved on the preferred opinion with high probability even if it is initially the opinion of the minority. We also study the majority rule model when stubborn agents with fixed opinions are present. We find that the stationary distribution of opinions in the network in the large system limit using mean field techniques.
On LA-Courant Algebroids and Poisson Lie 2-Algebroids
Authors: Jotz Lean M. 
Published: August 2020

AbstractThis paper reformulates Li-Bland’s definition for LA-Courant algebroids, or Poisson Lie 2-algebroids, in terms of split Lie 2-algebroids and self-dual 2-representations. This definition generalises in a precise sense the characterisation of (decomposed) double Lie algebroids via matched pairs of 2-representations. We use the known geometric examples of LA-Courant algebroids in order to provide new examples of Poisson Lie 2-algebroids, and we explain in this general context Roytenberg’s equivalence of Courant algebroids with symplectic Lie 2-algebroids. We study further the core of an LA-Courant algebroid and we prove that it carries an induced degenerate Courant algebroid structure. In the nondegenerate case, this gives a new construction of a Courant algebroid from the corresponding symplectic Lie 2-algebroid. Finally we completely characterise VB-Dirac and LA-Dirac structures via simpler objects, that we compare to Li-Bland’s pseudo-Dirac structures.
Combined ultrasound-ozone treatment for reutilization of primary effluent—a preliminary study
Authors: Rossi Giada , Mainardis Matia , Aneggi Eleonora , Weavers Linda K. , Goi Daniele 
Published: August 2020

AbstractThe present work is a preliminary study on the potential of low-frequency ultrasound irradiation coupled with O3 process for the disinfection of a primary effluent from a municipal wastewater treatment plant preserving nutrient levels (in particular nitrogen and phosphorous), for its possible reuse in civil, industrial, and agricultural sectors. The treated water could be reused, after appropriate dilution, contributing to the circular economy perspective and reducing the need for both chemical fertilizer addition and freshwater supply. The effect of different specific ultrasonic energies and ozone doses was assessed on a bench-top system, composed of an ultrasonic reactor and a semi-batch ozonation vessel. The results showed that the combined US-O3 process produces a good removal efficiency regarding soluble Chemical Oxygen Demand, sCOD (ca. 60%), anionic surfactants (ca. 50%), and formaldehyde (ca. 50%), and an optimal abatement for Methylene Blue Active Substances (MBAS, > 90%). The process also reached high disinfection performances, obtaining 4 logs for E. coli and 5 log abatement for Total Coliforms. The high removal efficiency is matched by an outstanding retention of nutrients (total nitrogen and orthophosphate) highlighting a high potential value for agricultural reuse of the treated primary effluent, with possible significant saving of chemical fertilizers. It was concluded that low-frequency ultrasound pre-treatment, combined with ozonation, could be a useful process for primary effluent recovery for several purposes. Further studies are expected to be planned and executed to evaluate system scale-up feasibility.
Transfer of metacognitive skills in self-regulated learning: an experimental training study
Authors: Schuster Corinna , Stebner Ferdinand , Leutner Detlev , Wirth Joachim 
Published: August 2020

AbstractTraining interventions for self-regulated learning foster the use of strategies and skills as well as their transfer to new learning tasks. Because cognitive strategies or motivation regulation strategies are task-specific, their transfer is limited. In contrast, metacognitive skills are task-general and transferable to a wide variety of learning tasks. Questions arise, therefore, as to whether students transfer metacognitive skills spontaneously and how to support metacognitive skill transfer. Previous research shows that hybrid training, which addresses both metacognitive skills and cognitive strategies, supports near transfer. However, it is not clear whether hybrid training also fosters far transfer of metacognitive skills. In investigating this research question, 233 fifth-grade students were randomly assigned to six different conditions: two hybrid-training conditions (metacognitive skills and one out of two cognitive strategies), two non-hybrid training conditions (“only” one out of two cognitive strategies), and two control training conditions (neither metacognitive skills nor cognitive strategies). After 15 weeks of training, transfer of metacognitive skills to learning tasks similar to training tasks (near transfer) was tested. In the following 15 weeks, all students received a second, non-hybrid training involving a new cognitive strategy. Far transfer of metacognitive skills to the new cognitive strategy was tested afterward. The results show that hybrid training, compared to non-hybrid and control training, improved both students’ near and far transfer of metacognitive skills. Moreover, cognitive strategy use increased in at least one of the hybrid-training conditions. However, since the level of metacognitive skills use remained low, further means to support transfer are discussed.
Critical challenges in biohydrogen production processes from the organic feedstocks
Authors: Osman Ahmed I. , Deka Tanmay J. , Baruah Debendra C. , Rooney David W. 
Published: August 2020

AbstractThe ever-increasing world energy demand drives the need for new and sustainable renewable fuel to mitigate problems associated with greenhouse gas emissions such as climate change. This helps in the development toward decarbonisation. Thus, in recent years, hydrogen has been seen as a promising candidate in global renewable energy agendas, where the production of biohydrogen gains more attention compared with fossil-based hydrogen. In this review, biohydrogen production using organic waste materials through fermentation, biophotolysis, microbial electrolysis cell and gasification are discussed and analysed from a technological perspective. The main focus herein is to summarise and criticise through bibliometric analysis and put forward the guidelines for the potential future routes of biohydrogen production from biomass and especially organic waste materials. This research review claims that substantial efforts currently and, in the future, should focus on biohydrogen production from integrated technology of processes of (i) dark and photofermentation, (ii) microbial electrolysis cell (MEC) and (iii) gasification of combined different biowastes. Furthermore, bibliometric mapping shows that hydrogen production from biomethanol and the modelling process are growing areas in the biohydrogen research that lead to zero-carbon energy soon.
A comparative study of overlapping community detection methods from the perspective of the structural properties
Authors: Vieira Vinícius da Fonseca , Xavier Carolina Ribeiro , Evsukoff Alexandre Gonçalves 
Published: August 2020

AbstractCommunity detection is one of the most important tasks in network analysis. It is increasingly clear that quality measures are not sufficient for assessing communities and structural properties play a key hole in understanding how nodes are organized in the network. This work presents a comparative study of some representative state-of-the-art methods for overlapping community detection from the perspective of the structural properties of the communities identified by them. Experiments with synthetic and real-world benchmark Ground-Truth networks show that, although the methods are able to identify modular communities, they often miss many structural properties of the communities, such as the number of nodes in the overlapping region and the memberships of the nodes. This is a strong suggestion that a deeper comprehension of the overlapping properties of the communities is needed for the design of more efficient community detection methods.
Epigenetic Consequences of Adversity and Intervention Throughout the Lifespan: Implications for Public Policy and Healthcare
Authors: Collins Nicholas , Phillips Natalia Ledo Husby , Reich Lauren , Milbocker Katrina , Roth Tania L. 
Published: August 2020

AbstractBehavioral epigenetics posits that both nature and nurture must be considered when determining the etiology of behavior or disease. The epigenome displays a remarkable ability to respond to environmental input in early sensitive periods but also throughout the lifespan. These responses are dependent on environmental context and lead to behavioral outcomes. While early adversity has been shown to perpetuate issues of mental health, there are numerous intervention strategies shown efficacious to ameliorate these effects. This includes diet, exercise, childhood intervention programs, pharmacological therapeutics, and talk therapies. Understanding the underlying mechanisms of the ability of the epigenome to adapt in different contexts is essential to advance our understanding of mechanisms of adversity and pathways to resilience. The present review draws on evidence from both humans and animal models to explore the responsivity of the epigenome to adversity and its malleability to intervention. Behavioral epigenetics research is also discussed in the context of public health practice and policy, as it provides a meaningful source of evidence concerning child development and disease intervention and prevention.
Global prevalence and reasons for case cancellation on the intended day of surgery: A systematic review and meta-analysis
Authors: Abate Semagn Mekonnen , Chekole Yigrem Ali , Minaye Solomon Yimer , Basu Bivash 
Published: August 2020

ABSTRACT

Background:
Cancellation of operation on the intended day of surgery affects the efficiency of Operation Room which incurs a significant financial loss for the patient, hospital, and health care cost of a country at large. This systematic and Meta-Analysis was intended to provide evidence on the global prevalence and determinants of case cancellation on the intended day of surgery.

Methods:
A comprehensive search was conducted in PubMed/Medline; Science direct and LILACS from January 2010 to May 2020 without language restriction. The Heterogeneity among the included studies was checked with forest plot, χ2 test, I2 test, and the p-values. All observational studies reporting prevalence and determinants were included.

Results:
A total of 1207 articles were identified from different databases with an initial search. Fort-eight articles were selected for evaluation after the successive screening. Thirty-three Articles with 306,635 participants were included. The Meta-Analysis revealed that the global prevalence of case cancellation on the intended day of surgery was 18% (95% CI: 16 to 20). The Meta-Analysis also showed that lack of operation theatre facility accounted for the major reason for cancellation followed by no attendant and change in medical condition.

Conclusion:
The meta-analysis revealed that the prevalence of case cancellation was very high in low and middle-income countries and the majorities were avoidable which entails rigorous activities on operation theatre facilities, preoperative evaluation and preparation, patient and health care provider communications.

Registration:
This Systematic Review and Meta-Analysis was registered in a research registry (researchregistry5746) available at https://www.researchregistry.com/browse-the-registry#home/

Highlights: