bluuebunny/crossref_metadata_2025_split huggingface dataset:
A guidance to implement or reinforce a DevOps approach in organizations: A case study
Authors: Muñoz Mirna , Rodríguez Mario Negrete 
Published: April 2021

AbstractIn recent years, stakeholders expect the delivery of new features almost every day to give fast feedback about changes or issues in software projects. To achieve this, they have opted to try new practices such as those from DevOps to improve their processes. Organizations such as IBM, Facebook, Amazon, and so on are implementing a DevOps culture. However, for small organizations, which are a large majority in the software development market, it is complicated to adopt DevOps because there is no guide to follow. Organizations have experienced issues trying to implement a DevOps approach, mainly for reasons such as a lack of process, guidance, or uncoordinated activities among organizations. Moreover, some organizations have a wrong understanding of DevOps: as just a set of automation tools to achieve a continuous release. This paper presents a guide to implement or reinforce a DevOps approach. Besides, the results of a case study of implementing the guide in a small organization are included. These results have shown that the guide helped the team: to identify its gaps toward the implementation of a DevOps approach; to have a better understanding of DevOps; and to facilitate the DevOps implementation providing a set of tasks, roles, and metrics.
An approach to forecast impact of Covid‐19 using supervised machine learning model
Authors: Mohan Senthilkumar , A John , Abugabah Ahed , M Adimoolam , Kumar Singh Shubham , kashif Bashir Ali , Sanzogni Louis 
Published: April 2021

AbstractThe Covid‐19 pandemic has emerged as one of the most disquieting worldwide public health emergencies of the 21st century and has thrown into sharp relief, among other factors, the dire need for robust forecasting techniques for disease detection, alleviation as well as prevention. Forecasting has been one of the most powerful statistical methods employed the world over in various disciplines for detecting and analyzing trends and predicting future outcomes based on which timely and mitigating actions can be undertaken. To that end, several statistical methods and machine learning techniques have been harnessed depending upon the analysis desired and the availability of data. Historically speaking, most predictions thus arrived at have been short term and country‐specific in nature. In this work, multimodel machine learning technique is called EAMA for forecasting Covid‐19 related parameters in the long‐term both within India and on a global scale have been proposed. This proposed EAMA hybrid model is well‐suited to predictions based on past and present data. For this study, two datasets from the Ministry of Health & Family Welfare of India and Worldometers, respectively, have been exploited. Using these two datasets, long‐term data predictions for both India and the world have been outlined, and observed that predicted data being very similar to real‐time values. The experiment also conducted for statewise predictions of India and the countrywise predictions across the world and it has been included in the Appendix.
ESGO/ISUOG/IOTA/ESGE Consensus Statement on preoperative diagnosis of ovarian tumors
Authors: Timmerman D. , Planchamp F. , Bourne T. , Landolfo C. , du Bois A. , Chiva L. , Cibula D. , Concin N. , Fischerova D. , Froyman W. , Gallardo G. , Lemley B. , Loft A. , Mereu L. , Morice P. , Querleu D. , Testa A. C. , Vergote I. , Vandecaveye V. , Scambia G. , Fotopoulou C. 
Published: April 2021

ABSTRACTThe European Society of Gynaecological Oncology (ESGO), the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG), the International Ovarian Tumour Analysis (IOTA) group and the European Society for Gynaecological Endoscopy (ESGE) jointly developed clinically relevant and evidence‐based statements on the preoperative diagnosis of ovarian tumors, including imaging techniques, biomarkers and prediction models.ESGO/ISUOG/IOTA/ESGE nominated a multidisciplinary international group, including expert practising clinicians and researchers who have demonstrated leadership and expertise in the preoperative diagnosis of ovarian tumors and management of patients with ovarian cancer (19 experts across Europe). A patient representative was also included in the group. To ensure that the statements were evidence‐based, the current literature was reviewed and critically appraised.Preliminary statements were drafted based on the review of the relevant literature. During a conference call, the whole group discussed each preliminary statement and a first round of voting was carried out. Statements were removed when consensus among group members was not obtained. The voters had the opportunity to provide comments/suggestions with their votes. The statements were then revised accordingly. Another round of voting was carried out according to the same rules to allow the whole group to evaluate the revised version of the statements. The group achieved consensus on 18 statements.This Consensus Statement presents these ESGO/ISUOG/IOTA/ESGE statements on the preoperative diagnosis of ovarian tumors and the assessment of carcinomatosis, together with a summary of the evidence supporting each statement.
Effect of zeolitic metal–organic framework on thermal, mechanical, and electrical properties of Ca/Zn‐stabilized polyvinyl chloride
Authors: Shariatmadari Reza , Kalaee Mohammadreza , Khajavi Ramin , Shariatinia Zahra 
Published: April 2021

AbstractIn order to enhance the heat stability of polyvinyl chloride (PVC), several heat stabilizing parameters such as metal content, antioxidant percentage, primary‐to‐secondary antioxidant ratios, stearic‐to‐acetylacetonate ratio, the amounts of pentaerythritol and β‐diketone were studied using oven and Congo red tests. Results indicated that the percentage contribution of the calcium‐to‐zinc molar ratio in the static heat stability was 60.78%. Due to the synergistic effects of the calcium/zinc stabilizer and the zeolitic metal–organic framework (MOF) as an effective co‐stabilizer, the heat stability was increased from 109 to 148 min. The EDX analysis was carried out to determine the mechanism of HCl gas absorption by the zeolitic imidazolate framework‐8 (ZIF‐8) existing in the PVC compound. Furthermore, the Ca/Zn thermal stabilizer showed poor electrical insulating properties, but the ZIF‐8 improved electrical resistivity of the PVC compounds. Volume resistivity of ZIF‐8 was significantly higher than that of the commonly used Ca/Zn stabilizers. Dynamic mechanical thermal analysis and tensile test of the PVC compound containing the ZIF‐8 showed increased Tg and enhanced toughness.
Development and testing of a three‐dimensional ballistics model for bat strikes on wind turbines
Authors: Prakash Shivendra , Markfort Corey D. 
Published: April 2021

AbstractBats colliding with spinning wind turbine blades result in bat mortality. Carcass surveys at individual wind turbines vary from daily to once a week and from large cleared plots to only the road and pad area. A physics‐based model is proposed to guide carcass surveys, for designing curtailment studies to detect treatment fatalities and for improving fatality estimates by accounting for unsearched areas. The model considers the effects of carcass size, weight, and drag, and it accounts for the turbine rotor size and rotation rate to simulate the trajectory of a carcass after it is struck by a wind turbine blade. A carcass parameter is defined as the ratio of drag force to body weight, which accounts for the relative effect of bat biophysical and aerodynamic characteristics. By applying restrictions on carcass survey and turbine yaw data, a limited sample of bat fatalities was obtained, and the analysis revealed that bats fall downwind of wind turbines, indicating wind drift significantly influences carcass fall trajectories. The new ballistics model includes the effect of wind drift on fall trajectory of a carcass. The model was used to investigate the sensitivity of carcass fall trajectories to variability of the input parameters. The tests showed that larger values of the carcass parameter, that is, when drag dominates, such as for small carcasses, resulted in larger downwind drift, whereas large carcasses with smaller carcass parameter values resulted in larger distances within the rotor plane. The relationship of wind speed and RPM was found to influence the carcass downwind distance more compared to the within rotor plane distance. Using carcass survey data, turbine operation data, and wind speed records, for seven bats surveyed the day after colliding with a wind turbine, modelled back‐trajectories were used to identify the likely strike location on the rotor. The model can be improved by validating the modelled trajectories with the recorded bat‐blade strikes in thermal videos. It should be noted that the findings of the present study are based on the bat fatalities that met strict criteria leading to small sample size and hence requires further evaluation for testing the robustness of the model.
High-Load Titanium Drilling Using an Accurate Robotic Machining System
Authors: Brownbill Robert , Silk Philip , Whiteside Peter , Hutabarat Windo , Burroughes Harry 
Published: April 2021

AbstractRobotic drilling systems have been used in the manufacture of large aerospace components for a number of years. Systems have been developed by several systems integrators in order to accurately drill materials from CFRP to Titanium. These systems, however, have been unable to achieve large diameter holes in Titanium due to reduced structural stiffness and end effector capabilities. Typically, large holes are either drilled using large cartesian CNC-controlled machines or drilled using automated drilling units (ADU). However, there is a pull from aerospace OEMS to move away from large monolithic machines, in favour of flexible robotic system. Flexible robotic systems provide a number of benefits for large structure assembly. The following report primarily outlines drilling trials conducted on the Accurate Robotic Machining System, during which holes from 25 mm to 32 mm ID were drilled in titanium implementing an empirical test schedule. Additionally, a discussion on the benefits of drilling large diameter holes using flexible robotic platforms.
Human and Workcell Event Recognition and Its Application Areas in Industrial Assembly
Authors: Propst Matthias , Akkaladevi Sharath Chandra , Hofmann Michael , Wögerer Christian , Pichler Andreas 
Published: April 2021

AbstractAssistance systems in production gain increased importance for industry, to tackle the challenges of mass customization and the demographic change. Common to these systems is the need for context awareness and understanding of the state of an assembly process. This paper presents an approach towards Event Recognition in manual assembly settings and introduces concepts to apply this key technology to the application areas of Quality Assurance, Worker Assistance, and Process Teaching.
Development of a Sensitive Winding Application Based on a Serial Robot and Integrated Torque Sensors
Authors: Kanso A. , Vette-Steinkamp M. , Müller R. 
Published: April 2021

AbstractConventional winding technologies have already been implemented in the electrical and manufacturing industries. However, the adoption of such technology remains a challenge in the rubber industry, as sensitivity perception is required. A solution to this problem can be achieved by making use of robots equipped with additional sensors. Sensitive robotic applications require accurate force/torque data acquisition. The integration of accurate force/torque sensors is unsatisfactory, moreover a novel method for the processing of the measured data is a requisite. In this paper, a concept for the development of a sensitive winding application based on a serial sensitive robot is presented.
Anomalous dimensions of effective theories from partial waves
Authors: Baratella Pietro , Fernandez Clara , von Harling Benedict , Pomarol Alex 
Published: April 2021

Abstract
On-shell amplitude methods have proven to be extremely efficient for calculating anomalous dimensions. We further elaborate on these methods to show that, by the use of an angular momentum decomposition, the one-loop anomalous dimensions can be reduced to essentially a sum of products of partial waves. We apply this to the SM EFT, and show how certain classes of anomalous dimensions have their origin in the same partial-wave coefficients. We also use our result to obtain a generic formula for the one-loop anomalous dimensions of nonlinear sigma models at any order in the energy expansion, and apply our method to gravity, where it proves to be very advantageous even in the presence of IR divergencies.
Two-loop analysis of classically scale-invariant models with extended Higgs sectors
Authors: Braathen Johannes , Kanemura Shinya , Shimoda Makoto 
Published: April 2021

Abstract
We present the first explicit calculation of leading two-loop corrections to the Higgs trilinear coupling λhhh in models with classical scale invariance (CSI), using the effective-potential approximation. Furthermore, we also study — for the first time at two loops — the relation that appears between the masses of all states in CSI theories, due to the requirement of reproducing correctly the 125-GeV Higgs-boson mass. In addition to obtaining analytic results for general CSI models, we consider two particular examples of Beyond-the-Standard-Model theories with extended Higgs sectors, namely an N-scalar model (endowed with a global O(N) symmetry) and a CSI version of the Two-Higgs-Doublet Model, and we perform detailed numerical studies of these scenarios. While at one loop the value of the Higgs trilinear coupling is identical in all CSI models, and deviates by approximately 82% from the (one-loop) SM prediction, we find that the inclusion of two- loop corrections lifts this universality and allows distinguishing different BSM scenarios with CSI. Taking into account constraints from perturbative unitarity and the relation among masses, we find for both types of scenarios we consider that at two loops λhhh deviates from its SM prediction by 100 ± 10% — i.e. a quite significant further deviation with respect to the one-loop result of ∼ 82%.
Five-brane current algebras in type II string theories
Authors: Hatsuda Machiko , Sasaki Shin , Yata Masaya 
Published: April 2021

Abstract
We study the current algebras of the NS5-branes, the Kaluza-Klein (KK) five-branes and the exotic $$ {5}_2^2 $$

5
2
2

-branes in type IIA/IIB superstring theories. Their worldvolume theories are governed by the six-dimensional $$ \mathcal{N} $$
N
= (2, 0) tensor and the $$ \mathcal{N} $$
N
= (1, 1) vector multiplets. We show that the current algebras are determined through the S- and T-dualities. The algebras of the $$ \mathcal{N} $$
N
= (2, 0) theories are characterized by the Dirac bracket caused by the self-dual gauge field in the five-brane worldvolumes, while those of the $$ \mathcal{N} $$
N
= (1, 1) theories are given by the Poisson bracket. By the use of these algebras, we examine extended spaces in terms of tensor coordinates which are the representation of ten-dimensional supersymmetry. We also examine the transition rules of the currents in the type IIA/IIB supersymmetry algebras in ten dimensions. Based on the algebras, we write down the section conditions in the extended spaces and gauge transformations of the supergravity fields.
Simultaneous Small Fractional Parts of Polynomials
Authors: Maynard James 
Published: April 2021

AbstractLet $$f_1,\dots ,f_k\in \mathbb {R}[X]$$

f
1

,
⋯
,

f
k

∈
R

[
X
]

be polynomials of degree at most d with $$f_1(0)=\dots =f_k(0)=0$$

f
1

(
0
)

=
⋯
=

f
k

(
0
)

=
0

. We show that there is an $$n<x$$

n
<
x

such that $$\Vert f_i(n)\Vert _{\mathbb {R}/\mathbb {Z}}\ll x^{c/k}$$

‖

f
i

(
n
)

‖

R
/
Z

≪

x

c
/
k

for all $$1\le i\le k$$

1
≤
i
≤
k

for some constant $$c=c(d)$$

c
=
c
(
d
)

depending only on d. This is essentially optimal in the k-aspect, and improves on earlier results of Schmidt who showed the same result with $$c/k^2$$

c
/

k
2

in place of c/k.
A parsimonious approach for large-scale tracer test interpretation
Authors: Bailly-Comte Vincent , Pistre Séverin 
Published: April 2021

AbstractDye tracing is an efficient method for spring watershed delineation, but is also used in surface waters to assess pollution migration over several kilometers. The aim of this study is to develop a simple and parsimonious approach that accounts for a linear relationship between dispersivity and scale that could be used for the simulation of large-scale transport processes in aquifers. The analysis of 583 tracer recoveries is used to validate an inverse relationship between arrival time and peak concentration, which is shown to be a consequence of the linear relationship between dispersivity and scale. These results show that the tracer displacement through a given tracing system can be characterized at a large scale by a constant Peclet number. This interpretation is used to propose a new approach for tracer test design based on the analytical expression of the peak/time factor. It is also used for Peclet number assessment and simulation of the whole tracer residence-time distribution using a new method based on the ratio between the mode of the residence time distribution (hmod) and the corresponding time from injection (tmod), which is called the hmod/tmod method. This methodology is applied to two tracer tests carried out in a karst aquifer over 13 km between the same injection and detection points under distinct hydrological conditions. These results found practical applications in generalizing tracer test results to various flow conditions, or guiding the parameterization of physically-based vulnerability mapping methods.
Different latencies of edge detection cause the fluttering-heart illusion
Authors: Suzuki Masahiro , Yanaka Kazuhisa 
Published: April 2021

AbstractWe studied the mechanism causing the fluttering-heart illusion in which the motion of an inner figure appears unsynchronized compared with that of the outer figure surrounding it although the motion of both figures is objectively synchronized in reality. Experiment 1 examined the effect of edges’ luminance contrasts. The illusion was measured under conditions where the luminance contrasts of the outer and inner figures’ edges were varied. The results indicated that the illusion occurred when the outer figure’s edge had a high luminance contrast and the inner figure’s edge had a low luminance contrast and that the illusion was reversed when the outer figure’s edge had a low luminance contrast and the inner figure’s edge had a high luminance contrast. Experiment 2 examined the effect of the first- and second-order edges. The illusion was measured under conditions where the first- and second-order edges coexisted or only the first-order edges existed. The results indicated that the illusion occurred when the outer figure had the first-order edge and the inner figure had the second-order edge, and that the illusion was reversed when the outer figure had the second-order edge and the inner figure had the first-order edge. These findings supported the hypothesis that the different latencies of edge detection cause the fluttering-heart illusion.
Cognitive impairment in multiple sclerosis: diagnosis and monitoring
Authors: Meca-Lallana Virginia , Gascón-Giménez Francisco , Ginestal-López Ricardo C. , Higueras Yolanda , Téllez-Lara Nieves , Carreres-Polo Joan , Eichau-Madueño Sara , Romero-Imbroda Jesús , Vidal-Jordana Ángela , Pérez-Miralles Francisco 
Published: April 2021

AbstractIntroductionCognitive impairment (CI) has a prevalence of 45–70% in people with multiple sclerosis (MS), producing a negative impact on their quality of life, personal life, and work. Early detection of CI has become an important aspect to be considered for an adequate follow-up, to optimize social adaptation and to implement specific cognitive rehabilitation strategies. The aim of this work is to propose a suitable cognitive evaluation of patients with MS based on available and efficient tools for diagnosis and monitoring purposes well supported by literature review and clinical experience.MethodsA multidisciplinary panel of professionals from the field of neurology, neuropsychology, and neuroimaging performed a literature review of the topic of cognitive impairment assessment. This was combined and completed with their clinical experience to produce a set of recommendations.ResultsSome limitations to cognitive evaluation are described: shortage of time and resources during the neurology consultation, scarceness or absence of specialized professionals’ availability, importance of tests adaptation, and doubts about its use to define therapeutic efficiency. We recommend a baseline and annual screening evaluation, and we suggest a baseline and periodic neuropsychological assessment. The latter ought to change to a recommendation with the presence of either positive screening test, or subjective to cognitive complaints, screening-test results and patient or family report mismatch, or in specific social/work situations.ConclusionsCognitive evaluation should be performed on all patients diagnosed with MS and throughout follow-up. It is necessary to support the creation of multidisciplinary MS teams to optimize the evaluation and follow-up of MS patients.
Mutation testing with hyperproperties
Authors: Fellner Andreas , Tabaei Befrouei Mitra , Weissenbacher Georg 
Published: April 2021

AbstractWe present a new method for model-based mutation-driven test case generation. Mutants are generated by making small syntactical modifications to the model or source code of the system under test. A test case kills a mutant if the behavior of the mutant deviates from the original system when running the test. In this work, we use hyperproperties—which allow to express relations between multiple executions—to formalize different notions ofkillingfor both deterministic as well as non-deterministic models. The resulting hyperproperties are universal in the sense that they apply to arbitrary reactive models and mutants. Moreover, an off-the-shelf model checking tool for hyperproperties can be used to generate test cases. Furthermore, we propose solutions to overcome the limitations of current model checking tools via a model transformation and a bounded SMT encoding. We evaluate our approach on a number of models expressed in two different modeling languages by generating tests using a state-of-the-art mutation testing tool.