bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance
Authors: Kerschke Laura , Weigel Stefanie , Rodriguez-Ruiz Alejandro , Karssemeijer Nico , Heindel Walter 
Published: August 2021

Abstract
Objectives
To evaluate if artificial intelligence (AI) can discriminate recalled benign from recalled malignant mammographic screening abnormalities to improve screening performance.

Methods
A total of 2257 full-field digital mammography screening examinations, obtained 2011–2013, of women aged 50–69 years which were recalled for further assessment of 295 malignant out of 305 truly malignant lesions and 2289 benign lesions after independent double-reading with arbitration, were included in this retrospective study. A deep learning AI system was used to obtain a score (0–95) for each recalled lesion, representing the likelihood of breast cancer. The sensitivity on the lesion level and the proportion of women without false-positive ratings (non-FPR) resulting under AI were estimated as a function of the classification cutoff and compared to that of human readers.

Results
Using a cutoff of 1, AI decreased the proportion of women with false-positives from 89.9 to 62.0%, non-FPR 11.1% vs. 38.0% (difference 26.9%, 95% confidence interval 25.1–28.8%; p < .001), preventing 30.1% of reader-induced false-positive recalls, while reducing sensitivity from 96.7 to 91.1% (5.6%, 3.1–8.0%) as compared to human reading. The positive predictive value of recall (PPV-1) increased from 12.8 to 16.5% (3.7%, 3.5–4.0%). In women with mass-related lesions (n = 900), the non-FPR was 14.2% for humans vs. 36.7% for AI (22.4%, 19.8–25.3%) at a sensitivity of 98.5% vs. 97.1% (1.5%, 0–3.5%).

Conclusion
The application of AI during consensus conference might especially help readers to reduce false-positive recalls of masses at the expense of a small sensitivity reduction. Prospective studies are needed to further evaluate the screening benefit of AI in practice.

Key Points
• Integrating the use of artificial intelligence in the arbitration process reduces benign recalls and increases the positive predictive value of recall at the expense of some sensitivity loss.
• Application of the artificial intelligence system to aid the decision to recall a woman seems particularly beneficial for masses, where the system reaches comparable sensitivity to that of the readers, but with considerably reduced false-positives.
• About one-fourth of all recalled malignant lesions are not automatically marked by the system such that their evaluation (AI score) must be retrieved manually by the reader. A thorough reading of screening mammograms by readers to identify suspicious lesions therefore remains mandatory.
Simplified Seismic Modelling of Fractured Rock: How Effective is the Localised Effective Medium Compared to Explicit Representation of Individual Fractures
Authors: Parastatidis Emmanouil , Hildyard Mark W. , Nowacki Andy 
Published: August 2021

AbstractSeismic waves can be an effective probe to retrieve fracture properties particularly when measurements are coupled with forward and inverse modelling. These seismic models then need an appropriate representation of the fracturing. The fractures can be modelled either explicitly, considering zero thickness frictional slip surfaces, or by considering an effective medium which incorporates the effect of the fractures into the properties of the medium, creating anisotropy in the wave velocities. In this work, we use a third approach which is a hybrid of the previous two. The area surrounding the predefined fracture is treated as an effective medium and the rest of the medium is made homogeneous and isotropic, creating a Localised Effective Medium (LEM). LEM can be as accurate as the explicit but more efficient in run-time. We have shown that the LEM model can closely match an explicit model in reproducing waveforms recorded in a laboratory experiment, for wave propagating parallel and perpendicular to the fractures. The LEM model performs close to the explicit model when the wavelength is much larger than the element size and larger than the fracture spacing. By the definition of the LEM model, we expect that as the LEM layer becomes coarser the model will start approaching the effective medium result. However, what are the limitations of the LEM and is there a balance between the stiffness, the frequency and the thickness, where the LEM performs close to an explicit model or approaches the effective medium model? To define the limits of the LEM we experiment varying fracture stiffness and source frequency. We then compare for each frequency and stiffness the explicit and effective medium with five models of LEM with different thickness. Finally, we conclude that the thick LEM layers with lower resolution perform the same as the thinner and finer resolution LEM layers for lower frequencies and higher fracture stiffness.
Biomineralization potential and biological properties of a new tantalum oxide (Ta2O5)–containing calcium silicate cement
Authors: Rodríguez-Lozano F. J. , Lozano A. , López-García S. , García-Bernal D. , Sanz J. L. , Guerrero-Gironés J. , Llena C. , Forner L. , Melo M. 
Published: August 2021

Abstract
Objective
The present study evaluated the biological effects and biomineralization potential of a new tantalum oxide (Ta2O5)–containing material designed for vital pulp therapy or perforation repair (NeoMTA 2), compared to NeoMTA Plus and Bio-C Repair.

Material and methods
Human dental pulp stem cells (hDPSCs) were exposed to different eluates from NeoMTA Plus, NeoMTA 2, and Bio-C Repair. Ion release from each material was determined using inductively coupled plasma-optical emission spectrometry (ICP-MS). The biological experiments performed were MTT assays, apoptosis/necrosis assays, adhesion assays, migration assays, morphology evaluation, and reactive oxygen species (ROS) production analysis. Biomineralization was assessed by Alizarin red S staining. Finally, osteo/odontogenic gene expression was determined by real-time quantitative reverse-transcriptase polymerase chain reaction (RT-qPCR). Data were analyzed using one-way ANOVA followed by Tukey’s multiple comparison test.

Results
NeoMTA 2 displayed a significantly higher calcium release compared to the other materials (p < 0.05). When hDPSCs were cultured in presence of the different material eluates, all groups exhibited similar hDPSC viability and migration rates when compared to untreated cells. Substantial cell attachment and spreading were observed in all materials’ surfaces, without significant differences. hDPSCs treated with NeoMTA 2 displayed an upregulation of ALP, Col1A1, RUNX2 (p < 0.001), ON, and DSPP genes (p < 0.05), and showed the highest mineralization potential compared to other groups (p < 0.001). Finally, the more concentrated eluates from these materials, specially NeoMTA Plus and NeoMTA 2, promoted higher ROS production in hDPSCs compared to Bio-C Repair and control cells (p < 0.001), although these ROS levels did not result in increased cell death.

Conclusions
The new tantalum oxide (Ta2O5)–containing material shows an adequate cytocompatibility and the ability to promote biomineralization without using chemical osteogenic inducers, showing great potential as a new material for vital pulp therapy.

Clinical relevance
NeoMTA 2 seems to be a promising material for vital pulp therapy. Further studies considering its biocompatibility and biomineralization potential are necessary.
Scenario assessment of neodymium recycling in Japan based on substance flow analysis and future demand forecast
Authors: Morimoto Shinichirou , Kuroki Hiroshi , Narita Hirokazu , Ishigaki Aya 
Published: August 2021

AbstractWith the increasing demand for energy-saving technologies, neodymium-iron-boron magnets have been widely utilized in high-efficiency motors. However, the reserves of neodymium, which is a rare earth element (REE), are limited; thus, a strategy for scaling up the REE supply is highly required. In this study, a scenario assessment was conducted to evaluate the effect of material recycling of neodymium from final product waste. Domestic substance flow analysis of neodymium was conducted by focusing on the waste flow of the final product. Moreover, the demand and waste of neodymium until 2050 were forecasted using various multivariate analysis methods. The results showed that the domestic waste of neodymium was forecasted to be 3866–4217 tons/year by 2050. However, material recycling of neodymium from final product waste may cause an additional increase in production by “circular economy rebound”. Considering that CO2 reduction has also been a global challenge to prevent global warming, the rebound effect was calculated. Therefore, a scenario assessment was conducted to evaluate the influence of this rebound effect by estimating the CO2 reduction. The results of this study are expected to make a significant contribution to the establishment of a new strategy for neodymium recycling.
A hybrid approach for high precision prediction of gas flows
Authors: Petkovic Milena , Chen Ying , Gamrath Inken , Gotzes Uwe , Hadjidimitrou Natalia Selini , Zittel Janina , Xu Xiaofei , Koch Thorsten 
Published: August 2021

AbstractAbout 23% of the German energy demand is supplied by natural gas. Additionally, for about the same amount Germany serves as a transit country. Thereby, the German network represents a central hub in the European natural gas transport network. The transport infrastructure is operated by transmissions system operators (TSOs). The number one priority of the TSOs is to ensure the security of supply. However, the TSOs have only very limited knowledge about the intentions and planned actions of the shippers (traders). Open Grid Europe (OGE), one of Germany’s largest TSO, operates a high-pressure transport network of about 12,000 km length. With the introduction of peak-load gas power stations, it is of great importance to predict in- and out-flow of the network to ensure the necessary flexibility and security of supply for the German Energy Transition (“Energiewende”). In this paper, we introduce a novel hybrid forecast method applied to gas flows at the boundary nodes of a transport network. This method employs an optimized feature selection and minimization. We use a combination of a FAR, LSTM and mathematical programming to achieve robust high-quality forecasts on real-world data for different types of network nodes.
Self-Driving Vehicles—an Ethical Overview
Authors: Hansson Sven Ove , Belin Matts-Åke , Lundgren Björn 
Published: August 2021

AbstractThe introduction of self-driving vehicles gives rise to a large number of ethical issues that go beyond the common, extremely narrow, focus on improbable dilemma-like scenarios. This article provides a broad overview of realistic ethical issues related to self-driving vehicles. Some of the major topics covered are as follows: Strong opinions for and against driverless cars may give rise to severe social and political conflicts. A low tolerance for accidents caused by driverless vehicles may delay the introduction of driverless systems that would substantially reduce the risks. Trade-offs will arise between safety and other requirement on the road traffic system. Over-reliance on the swift collision-avoiding reactions of self-driving vehicles can induce people to take dangerous actions, such as stepping out in front of a car, relying on its fast braking. Children travelling alone can violate safety instructions such as the use of seatbelts. Digital information about routes and destinations can be used to convey commercial and political messages to car users. If fast passage can be bought, then socio-economic segregation of road traffic may result. Terrorists and other criminals can hack into a vehicle and make it crash. They can also use self-driving vehicles for instance to carry bombs to their designed places of detonation or to wreak havoc on a country’s road system.
Deconstructing Job Insecurity: Do its Qualitative and Quantitative Dimensions Add Up?
Authors: Urbanaviciute Ieva , Lazauskaite-Zabielske Jurgita , De Witte Hans 
Published: August 2021

AbstractDespite substantial interest in job insecurity as a severe workplace stressor, the way in which its qualitative and quantitative dimensions co-occur is not fully understood. As a result, the variety of their combinations and potentially differential effects that they produce remain underexplored. The current study aimed to address this gap in two ways. First, we hypothesized that quantitative job insecurity would manifest in a cumulated form along with qualitative job insecurity but not vice versa. Second, we aimed to test whether different combinations of quantitative and qualitative job insecurity differentially reflect in employees’ occupational characteristics and health and well-being outcomes.Latent profile analyses were conducted on two different samples of employees (N = 1077 andN = 608). The findings from both samples supported a three-profile solution of qualitative and quantitative job insecurity resulting in the balanced low, balanced high, and qualitative job insecurity dominant profiles. As expected, the probability of temporary and part-time employment was the highest in the balanced high (i.e., cumulated) job insecurity profile. Moreover, both the balanced high and the qualitative job insecurity dominant profiles were linked to significantly lower mental health and well-being than the low job insecurity profile, suggesting that substantially detrimental effects may occur even if experiencing qualitative job insecurity only.
UAV Formation Obstacle Avoidance Control Algorithm Based on Improved Artificial Potential Field and Consensus
Authors: Wang Ning , Dai Jiyang , Ying Jin 
Published: August 2021

AbstractAiming at the problem of UAV formation's obstacle avoidance and the consensus of position and velocity in a 3D obstacle environment, a novel distributed obstacle avoidance control algorithm for cooperative formation based on the improved artificial potential field (IAPF) and consensus theory is proposed in this paper. First, the particle model of the UAV and the dynamic model of the second-order system are established, and the topological structure of the communication network of the system is described with the knowledge of graph theory. Second, the attractive potential field function containing the coordination gains factor, the repulsive potential field function containing the influence factor of the repulsive force and the planning angle, and the potential field function between the UAVs containing the communication weight are defined. Then, the variables of position and velocity in the consensus protocol are improved by the reference vector of the formation center and the expected velocity, respectively, and a new formation obstacle avoidance control protocol is designed by combining the IAPF and the theory of consensus. Finally, the Lyapunov function is used to prove the stable convergence of the algorithm. The simulation results show that this method can not only prevent the UAV from colliding with each other while avoiding static and dynamic obstacles but also enable the UAV to quickly restore the expected formation and achieve the consensus of the relative distance, relative height, and velocity.
The Verification of Nanosatellites Solar Panels Automatic Deployment in Microgravity Conditions
Authors: Abdellatif Akram , Ali Ali H. , El-sayed Mohamed E. , Elhusseiny Nermine M. , Mabrouk Youmna , Fathy Youssef M. 
Published: August 2021

AbstractThe solar panels installed on a CubeSat are considered the main energy source of a nanosatellites. The deployment mechanism of a solar panel must be analyzed and tested extensively. Any suggested solar panel design should present a low vibrating free spinning deployment mechanism. This paper examines various types of solar panels to reach a conclusion of the efficient design when deployed on a 1U or 2U unit. However, calculations, analysis, simulations do not always give an extensive picture of how the satellite shall behave during deployment. Thus, testing in a microgravity environment gives a more accurate answer of how the satellite shall behave. In our work, various solar panels mechanisms are developed and eventually tested in microgravity. The first accordion structure for a 1U structure is tested in a microgravity environment through a parabolic flight with the National Research Council Falcon 20 aircraft. The results are recorded and analyzed to optimize the next design. The second design is based on a drag-sail mechanism for a 2U structure. The design is improved upon the first experiment results for the next parabolic flight. The simulated amount of power generated in orbit is also a main factor in our evaluation.
COVID 19 pandemic: Effect on management of patients with breast cancer; single center retrospective cohort study
Authors: Mooghal Mehwish , Javaid Rana Hassan , Khan Wajiha , Muneeb Muhammad , Khan Waseem Ahmad , Ahmad Asrar , Barohi Lal Bux , Rahim Kamran , Tahseen Hina , Gul Amna 
Published: August 2021

ABSTRACT

Background:
(SARS-COV-2) infection, led to a pandemic affecting many countries, resulting in hospitals diverting most of their resources to fight the pandemic. Breast cancer, already a healthcare dilemma, is also affected in this scenario. Our aim was to find out the impact of COVID-19 on presentation of breast cancer stage and its effects on overall onco-surgical management.

Methods:
This cohort single-centered retrospective review was carried out at our hospital, over a period of 18 months. Females with known breast cancer were included in the study. Data was collected on performas by a single researcher. Effect of COVID pandemic on presentation stage and its impact on overall management was studied. SPSS 23.0 used for data analysis. A 95% CI was used. Descriptive statistics were presented as range/means. Categorical data was analyzed by Fisher exact test, t-test was applied to numerical data, p value ≤ 0.05 was considered significant.

Results:
Out of 87 patients presenting with suspicious lump, 69 who had malignancy on histo-pathology were included in study. Twelve out of 69 were COVID positive. Sixty patients presented with advanced stage (≥stage 2b) out of which 21 underwent upstaging of disease due to delay in presentation/management. We found that 9 out of 12 (majority) Covid positive patients had disease upstaging. Overall main reason for delay in presentation was found to be unawareness of disease.

Conclusion:
We concluded that COVID-19 pandemic had no impact on presentation delay, breast cancer management/treatment and disease upstaging as compared to figures available for our population before the pandemic. However, our study showed significant correlation between disease upstaging and COVID status. This led us to reconsider our preformed protocols for COVID positive breast cancer patients. Our results can be used by future researchers to investigate if COVID itself can contributes in patho-physiology of upstaging in breast cancer or not.

Highlights
Anaphoric binding in Modern Standard Arabic: A phase-based analysis
Authors: Al-Raba'a Basem Ibrahim Malawi 
Published: August 2021

AbstractThis article explores the distribution of Arabic reflexive and reciprocal anaphors in various structures as well as the syntactic environments in which such anaphors are (in)admissible. In particular, it examines the binding domains for reflexives and reciprocals and focuses for the most part on the asymmetries between these two types of anaphors in possessive DPs and PPs. It will be shown that the binding facts are better captured by reducing binding domains to phases, that DPs and PPs constitute a phase only when containing a possessive phrase, and that a reflexive and a reciprocal behave differently in such possessive structures in that the latter, unlike the former, undergoes overt movement. Accordingly, it will be argued that reflexive possessives are ungrammatical because they are left unbound in their DP/PP phase, while reciprocal possessives are grammatical since multiple copies of the distributor are created during the derivation due to movement, allowing it to seek an antecedent in the higher vP, its phasal binding domain. For this to hold, Principle A should apply cyclically at the end of each phase; that is, before the complement of the phase head is spelled out.
New Middle Ordovician hyoliths from the Ossa Morena Zone, southwestern Spain
Authors: Gutiérrez-Marco Juan Carlos , Marek Ladislav , Malinky John M. 
Published: August 2021

AbstractThe record of Middle Ordovician (Oretanian, ca. Darriwilian 2) hyolithids from the Ossa Morena Zone of the Iberian Massif in southwestern Spain is increased with the recognition ofRobardetlites sevillanusn. gen. n. sp.,Andalucilites parvulusn. gen. n. sp.,Pauxillites desolatusn. sp.,Leolites malinkyiMarek and Gutiérrez-Marco n. sp., andCavernolitessp. in that region.Andalucilitesn. gen. andRobardetlitesn. gen. are endemic whereas the other genera are known from coeval strata in the Barrandian region in central Europe, France, and Morocco, giving this assemblage a decidedly “Mediterranean province” character. The discovery ofPauxillites,Leolites, andCavernolitesin Iberia extends their geographic ranges to that region, andLeolitesfrom this area extends its stratigraphic range downward, making its occurrence in Iberia the oldest known for that genus.UUID:http://zoobank.org/f5b29223-6dac-4c7e-8851-551e634da667
Variations in the levels of acute-phase proteins and lactoferrin in serum and milk during bovine subclinical mastitis
Authors: Raj Aarsha , Kulangara Vinodkumar , Vareed Tresamol P. , Melepat Deepa P. , Chattothayil Latha , Chullipparambil Sunanda 
Published: August 2021

AbstractVariations in the levels of acute phase proteins and lactoferrin in serum and milk for diagnosis of subclinical mastitis in dairy cows are described in this research paper. Milking animals from two organized dairy farms in Kerala, India, were screened by California Mastitis Test (CMT), Electrical Conductivity test (EC) and Somatic Cell Count (SCC) test to identify animals affected with sub clinical mastitis (SCM). The concentrations of acute phase proteins (APP) Haptoglobin (Hp), C- reactive protein (CRP), Albumin, Lactoferrin (Lf) and α- 1 acid glycoprotein (AGP) in milk and Hp, Albumin, Serum Amyloid A (SAA) and CRP in the serum of 40 normal cows and 40 cows affected with sub clinical mastitis were assessed. Solid phase ELISA was employed for assessment of all parameters except the albumin levels, for which spectrophotometry was used. The values of Hp in milk; and SAA, AGP and Lf in serum, were significantly elevated in the group with sub clinical mastitis. Such variations were found to be independent of the specific bacterial organism causing the disease. These results show that significant variations exist in the levels of acute phase proteins Hp, AGP and Lf in milk, and SAA in serum of animals affected with subclinical bovine mastitis that are not affected by specific bacterial etiology.
The nature and significance of the Hindu Divine Mother in embodied thealogical perspective
Authors: Burley Mikel 
Published: August 2021

AbstractThe Hindu Divine Mother is revered by millions of religious practitioners in India and elsewhere, yet this goddess rarely receives attention in Western philosophy of religion. Focusing especially (though not exclusively) on her form as Kālī, this article utilizes sources from Hindu goddess traditions to explicate her contrasting characteristics, which include benign maternality and martial aggression. By adapting an embodied theological (or thealogical) approach derived from feminist discourse, the intelligibility of worshipping such a goddess is expounded; connections are delineated between the conceptualizing of divinity as radically ambivalent or multivalent and the lived experience of inhabiting an often hostile world.