bluuebunny/crossref_metadata_2025_split huggingface dataset:
Remaking time: Cultural semiotic transformations of temporality during the early days of the COVID-19 pandemic and lockdown
Authors: Ruse Jesse N , Rhodes Paul , Tateo Luca , Luca Picione Raffaele De 
Published: July 2022

AbstractThis paper investigates one aspect of meaning making that occurs in the wake of systemic change. It addresses the question of how time is re-configured by socio-material changes resultant from the COVID-19 pandemic. Employing a semiotic perspective, we aim to describe a process of disruption and distress, which leads to a recognition of the oddness of ‘covid-time.’ This is characterised by distressing ‘suspended waiting’, a despairing frozen temporality. After this, this odd covid-time is semiotically assimilated into the old and familiar. Distressing ‘suspended time’ is transformed into ‘productive time’, ‘normal time’, and ‘transformational time’ as an attempt to regulate affect. By highlighting this semiotic shift, the theory of the Cultural Psychology of Semiotic Dynamics (Valsiner, 2014) is used to highlight how meaning is constructed using cultural resources.
Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
Authors: Habraken Anne Marie , Aksen Toros Arda , Alves José L. , Amaral Rui L. , Betaieb Ehssen , Chandola Nitin , Corallo Luca , Cruz Daniel J. , Duchêne Laurent , Engel Bernd , Esener Emre , Firat Mehmet , Frohn-Sörensen Peter , Galán-López Jesús , Ghiabakloo Hadi , Kestens Leo A. I. , Lian Junhe , Lingam Rakesh , Liu Wencheng , Ma Jun , Menezes Luís F. , Nguyen-Minh Tuan , Miranda Sara S. , Neto Diogo M. , Pereira André F. G. , Prates Pedro A. , Reuter Jonas , Revil-Baudard Benoit , Rojas-Ulloa Carlos , Sener Bora , Shen Fuhui , Van Bael Albert , Verleysen Patricia , Barlat Frederic , Cazacu Oana , Kuwabara Toshihiko , Lopes Augusto , Oliveira Marta C. , Santos Abel D. , Vincze Gabriela 
Published: July 2022

AbstractThis article details the ESAFORM Benchmark 2021. The deep drawing cup of a 1 mm thick, AA 6016-T4 sheet with a strong cube texture was simulated by 11 teams relying on phenomenological or crystal plasticity approaches, using commercial or self-developed Finite Element (FE) codes, with solid, continuum or classical shell elements and different contact models. The material characterization (tensile tests, biaxial tensile tests, monotonic and reverse shear tests, EBSD measurements) and the cup forming steps were performed with care (redundancy of measurements). The Benchmark organizers identified some constitutive laws but each team could perform its own identification. The methodology to reach material data is systematically described as well as the final data set. The ability of the constitutive law and of the FE model to predict Lankford and yield stress in different directions is verified. Then, the simulation results such as the earing (number and average height and amplitude), the punch force evolution and thickness in the cup wall are evaluated and analysed. The CPU time, the manpower for each step as well as the required tests versus the final prediction accuracy of more than 20 FE simulations are commented. The article aims to guide students and engineers in their choice of a constitutive law (yield locus, hardening law or plasticity approach) and data set used in the identification, without neglecting the other FE features, such as software, explicit or implicit strategy, element type and contact model.
Petro-physics Analysis and Rock Physics Modeling for Estimation of Gas Hydrate Saturation: A Case Study in the Mahanadi Offshore Basin
Authors: Shukla Pradeep Kumar , Singha Dip Kumar , Yadav Pradeep Kumar , Sain Kalachand 
Published: July 2022

Abstract
Gas hydrate saturation (Sh) is the most challenging key parameter of petrophysical evaluations for reservoir characterization. In total three wells were used (namely, NGHP-01-19, NGHP-01-09, and NGHP-01-08) to compute the petrophysical parameters in the gas hydrate-bearing sediments of the Mahanadi offshore basin. Initially, effective porosity and volume of shale are computed using conventional log data varying from 11-36% and 55-75% respectively. The most prominent technique responding to the physical property has been used to compute the Sh by using Archie’s empirical electrical resistivity method. The presence of gas hydrate, free gas, and other lithology affects the sonic velocity which is widely used to quantify the hydrate saturation. Therefore,an attempt is made to quantify the Sh from the wellbore sonic velocity using a rock physics model at higher porosity (~62%) for unconsolidated marine sediments below the seafloor. The model is best suited for gas hydrate zones where velocity increases with the hydrate saturation but underestimates the saturation for free gas zones below the bottom simulating reflector. In the study area,Sh ranges from 5-13% in the depth interval of 175-200 mbsf for well NGHP-01-19 whereas, small amount of 3-10%and 2-8% for well NGHP-01-09 and NGHP-01-08 respectively. The Sh obtained from the rock physics model is insignificantly mismatched with the saturation obtained from temperature and resistivity data due to the presence of an isotropic layer with fracture filling sediments having anisotropic properties.
Temporal Distribution of Uranium and its Correlation with Varied Physicochemical Parameters in the Groundwater Samples of Panipat, Haryana, India
Authors: Tanwer Naresh , Anand Poonam , Batra Neha , Kant Krishan , Gautam Y. P. , Sahoo S. K. 
Published: July 2022

Abstract
The paper presents a detailed study conducted to determine the seasonal comparison of presence of uranium (U) in ground water collected from Panipat district and its inter-correlation with the physicochemical water quality parameters. A systematic and uniform grid sampling approach was implemented for sampling and analysis of U concentration for both the seasons i.e. premonsoon and post-monsoon using LED Fluorimeter. The present study shows that the geometric mean of U concentration in the ground water samples of Panipat region was 22.2 μg/L for postmonsoon and 21.9 μg/L for pre-monsoon season which is less than the permissible limit of 30 μg/L prescribed by World Health Organization (WHO, 2011) and Bureau of Indian Standard (BIS, 2021) as well as recommended limit of 60 μg/L given by Atomic Energy Regulatory Board (AERB, 2004). A positive correlation of U was observed with TDS, EC, salinity, Cl- , total hardness, Mg2+hardness, total alkalinity and HCO-3 in both seasons of Panipat, Haryana.
Environmental Geochemistry and Positive Impact of Covid-19 Pandemic with Special Emphasis to Coal Mining Industry: An Overview
Authors: Dutta Madhulika , Saikia Binoy K. 
Published: July 2022

Abstract
In the present situation, Covid-19 is considered to be an unbeaten global pandemic. In every single fleeting moment, this SARS- CoV- 2(coronavirus-2) causes greater damage to our life including the physical world including drastic imbalance of the whole economic condition of any country. The lockdown governed in two consecutive years (2020 and 2021)in the world to control the spreading of the virus poses an undue threat to the industrial sectors including the coal mining sectors that determine the economic growth of the country. With these negative impacts of coronavirus-2 in our life, this present review aims to explore some of the positive influences of the Covid-19 pandemic through the restoration of the environmental system which are otherwise not possible. This quantitative review finds that spreading of the Covid-19 pandemic indirectly improves the air and water quality by reducing the number of vehicles, reduces the CO2, NOx,particulate matter, and other polluting gases emission from coal-based power plants through periodical lockdown in the country.Moreover, the lockdown implemented to minimise the spreading of the Covid-19 significantly reduces the coal dust production from the mining and transportation of coal that indirectly reduces environmental pollution.
Actual Sensing Sensitivity and SNR Measurement of Optical Tweezers Based on Coulomb Force Input
Authors: Wang Jiaojiao , Chen Xingfan , Zhu Shaochong , Fu Zhenhai , Li Nan , Hu Huizhu 
Published: July 2022

AbstractSensing sensitivity is the key performance of optical tweezers. By adjusting the frequency and magnitude of an applied Coulomb force as an input of optical tweezers, we directly measured the sensitivity and signal-to-noise ratio (SNR) of a system and indirectly calculated the actual noise magnitude. Combined with an output filter, the relationship between the SNR and bandwidths was studied. We established the simulation model of a system using Simulink and simulated the relationship between the SNR and magnitude of the input forces and filter bandwidths. In addition, we built an experimental system to determine the relationship between the SNR and the magnitude of the input forces and filter bandwidths. The actual minimum detectable force was measured as 1.8275×10−17 N at a 1 Hz bandwidth. The experimental results were correlated with the simulation and theoretical results, confirming the effectiveness of the proposed method and demonstrating the high sensitivity of vacuum optical tweezers as mechanical sensors. We proposed a novel method of calibration and measurement of system sensing parameters by applying an actual force that was more direct and precise than the theoretical calculation method that requires accurate fitting parameters, such as the particle radius and density. This method can be employed to analyze the system noise and phase characteristics to confirm and improve the real performance of the system.
Cooperative prediction method of gas emission from mining face based on feature selection and machine learning
Authors: Zhou Jie , Lin Haifei , Jin Hongwei , Li Shugang , Yan Zhenguo , Huang Shiyin 
Published: July 2022

AbstractCollaborative prediction model of gas emission quantity was built by feature selection and supervised machine learning algorithm to improve the scientific and accurate prediction of gas emission quantity in the mining face. The collaborative prediction model was screened by precision evaluation index. Samples were pretreated by data standardization, and 20 characteristic parameter combinations for gas emission quantity prediction were determined through 4 kinds of feature selection methods. A total of 160 collaborative prediction models of gas emission quantity were constructed by using 8 kinds of classical supervised machine learning algorithm and 20 characteristic parameter combinations. Determination coefficient, normalized mean square error, mean absolute percentage error range, Hill coefficient, mean absolute error, and the mean relative error indicators were used to verify and evaluate the performance of the collaborative forecasting model. As such, the high prediction accuracy of three kinds of machine learning algorithms and seven kinds of characteristic parameter combinations were screened out, and seven optimized collaborative forecasting models were finally determined. Results show that the judgement coefficients, normalized mean square error, mean absolute percentage error, and Hill inequality coefficient of the 7 optimized collaborative prediction models are 0.969–0.999, 0.001–0.050, 0.004–0.057, and 0.002–0.037, respectively. The determination coefficient of the final prediction sequence, the normalized mean square error, the mean absolute percentage error, the Hill inequality coefficient, the absolute error, and the mean relative error are 0.998%, 0.003%, 0.022%, 0.010%, 0.080%, and 2.200%, respectively. The multi-parameter, multi-algorithm, multi-combination, and multi-judgement index prediction model has high accuracy and certain universality that can provide a new idea for the accurate prediction of gas emission quantity.
Pädagogik, Legitimation und Ressourcen im Kontext von Qualitätsmanagementsystemen – Herausforderungen in organisationalen Feldern der Weiterbildung aus neo-institutionalistischer Perspektive
Authors: Reuter Martin , Dietz Caroline , Fröhlich Laureen 
Published: July 2022

ZusammenfassungDer vorliegende Beitrag geht auf empirischer Basis der Frage nach, welche Herausforderungen Weiterbildungsorganisationen im Zusammenhang mit Qualitätsmanagement thematisieren. Theoretisch wird dazu an den Neo-Institutionalismus angeschlossen. Aufbauend auf den Daten der wbmonitor-Umfrage 2017 werden die Herausforderungen inhaltsanalytisch nach vier organisationalen Feldern (VHS, Gemeinnützig/öffentlich, GemeinschaftenundKommerziell privat) differenziert qualitativ sowie quantitativ ausgewertet. Die Auswertung strukturiert sich anhand der aus der Theorie abgeleiteten KategorienLegitimation, RessourcenundPädagogik. Im Ergebnis zeigen sich sowohl Unterschiede als auch Gemeinsamkeiten zwischen den Feldern, wobei übergreifend Ressourcen die größte Herausforderung zu sein scheinen. Der Beitrag schließt mit einer organisationspädagogischen Reflexion der Ergebnisse als Lerngegenstände ab.
Surface and interior meridional circulation in the Sun
Authors: Hanasoge Shravan M. 
Published: July 2022

AbstractSolar meridional circulation is an axisymmetric flow system, extending from the equator to the poles ($$\sim $$
∼
20 m/s at the surface, $$\approx $$
≈
1% of the mean solar rotation rate), plunging inwards and subsequently completing the circuit in the interior through an equatorward return flow and a radially outward flow back up to the surface. This article reviews the profound role that meridional circulation plays in maintaining global dynamics and regulating large-scale solar magnetism. Because it is relatively weak in comparison to differential rotation ($$\sim $$
∼
300 m/s, $$\approx $$
≈
7% of the mean solar rotation rate) and owing to numerous systematical errors, accurate surface measurements were only first made in 1978 and initial inferences of interior meridional circulation were obtained using helioseismology two decades later. However, systematical biases have made it very challenging to reliably recover flow in the deep interior. Despite numerous advances that have served to improve the accuracy of inferences, the location of the return flow and the full extent of the circulation are still open problems. This article follows the historical developments and summarises contemporary advances that have led to modern inferences of surface and interior meridional flow.
An Albertian View of Buchanan’s Contractarianism
Authors: Brennan Geoffrey , Kliemt Hartmut 
Published: July 2022

AbstractThis paper in honor of Hans Albert ‘@100’ seeks to show how adhering to critical rationalist ‘economic philosophy’ avoids contradictions in James Buchanan’s contractarianism: restricting constitutional economic advice to what serves the ends of all potential addressees simultaneously Buchanan not only blurs the borderline between value-neutral economic philosophy and substantive moral philosophy but also contradicts his thesis of the “necessary relativism and individualism of values”. Translating ‘means-ends’-relations into technological ‘cause-effect’-relations, Albert can treat technological blueprints as nomological hypotheses subject to scientific test and corroboration while leaving their practical implementation to citizens whose contingent particular ends may or may not be universalistic.
Collective Writing: The Continuous Struggle for Meaning-Making
Authors: Jandrić Petar , Luke Timothy W. , Sturm Sean , McLaren Peter , Jackson Liz , MacKenzie Alison , Tesar Marek , Stewart Georgina Tuari , Roberts Peter , Abegglen Sandra , Burns Tom , Sinfield Sandra , Hayes Sarah , Jaldemark Jimmy , Peters Michael A. , Sinclair Christine , Gibbons Andrew 
Published: July 2022

AbstractThis paper is a summary of philosophy, theory, and practice arising from collective writing experiments conducted between 2016 and 2022 in the community associated with the Editors’ Collective and more than 20 scholarly journals. The main body of the paper summarises the community’s insights into the many faces of collective writing. Appendix 1 presents the workflow of the article’s development. Appendix 2 lists approximately 100 collectively written scholarly articles published between 2016 and 2022. Collective writing is a continuous struggle for meaning-making, and our research insights merely represent one milestone in this struggle. Collective writing can be designed in many different ways, and our workflow merely shows one possible design that we found useful. There are many more collectively written scholarly articles than we could gather, and our reading list merely offers sources that the co-authors could think of. While our research insights and our attempts at synthesis are inevitably incomplete, ‘Collective Writing: The Continuous Struggle for Meaning-Making’ is a tiny theoretical steppingstone and a useful overview of sources for those interested in theory and practice of collective writing.
Influence of aggregate size on shear mechanism of reinforced concrete beam subjected to impact load
Authors: Reba Teshome Chala , Aure Temesgen Wondimu 
Published: July 2022

AbstractThis study presents the influence of aggregate interlock, in terms of aggregate size, on shear mechanism of reinforced concrete beam under a drop-weight impact using a non-linear finite element model. Four aggregate sizes (8-, 16-, 24-, and 32-mm) were used to study the variation of the shear force at the critical section. Large shear force was recorded at the critical section for the specimens with the 32-mm aggregate size regardless of the impact mass and velocity. This is expected since larger aggregates create rougher surfaces and transfer larger shear forces than smaller ones. As the impact mass increased from 868 to 1700 kg, the critical section shear force decreased on average by 5.3%, regardless of aggregate size. Increasing the impact velocity by 41% decreased the critical section shear force by 58%, 56%, 45%, and 41.5% for the 8 mm, 16 mm, 24 mm, and 32 mm aggregate size specimens, respectively. The influence of aggregate size on the shear transfer mechanism was also studied in the presence of shear reinforcement and increased span-to-depth ratio. The difference in shear force at the critical section among the specimens with the different aggregate sizes is negligible in the presence of shear reinforcement indicating that the presence of stirrups reduced the contribution of aggregate interlock in shear resistance. Increasing the span length by 67% (from 3 to 5 m) decreased the effect of aggregate size by 95% on average.
Fuzzy Confidence Intervals by the Likelihood Ratio: Testing Equality of Means—Application on Swiss SILC Data
Authors: Berkachy Rédina , Donzé Laurent 
Published: July 2022

AbstractWe propose a practical procedure of construction of fuzzy confidence intervals by the likelihood method where the observations and the hypotheses are considered to be fuzzy. We use the bootstrap technique to estimate the distribution of the likelihood ratio. The chosen bootstrap algorithm consists on randomly drawing observations by preserving the location and dispersion measures of the original fuzzy data set. A metric $$d_{SGD}^{\theta ^{\star }}$$

d

SGD

θ
⋆

based on the well-known signed distance measure is considered in this case. We expose a simulation study to investigate the influence of the fuzziness of the computed maximum likelihood estimator on the constructed confidence intervals. Based on these intervals, we introduce a hypothesis test for the equality of means of two groups with its corresponding decision rule. The highlight of this paper is the application of the defended approach on the Swiss SILC Surveys. We empirically investigate the influence of the fuzziness vs. the randomness of the data as well as of the maximum likelihood estimator on the confidence intervals. In addition, we perform an empirical analysis where we compare the mean of the group “Swiss nationality” to the group “Other nationalities” for the variables Satisfaction of health situation and Satisfaction of financial situation.
Posture and Mechanical Load Assessment During Patient Transfers
Authors: Hellmers Sandra , Brinkmann Anna , Böhlen Conrad Fifelski-von , Lau Sandra , Diekmann Rebecca , Hein Andreas 
Published: July 2022

AbstractCaregivers experience high musculoskeletal loads during their daily work, which leads to back complaints and a high rate of absenteeism at work. This reinforces the already existing discrepancy between the supply and demand of caregivers. Ergonomically correct working can significantly reduce musculoskeletal load. Therefore, we developed a system that recognizes potentially harmful body postures. In a study with 13 caregiver students, we analyzed the body postures, as well as muscle activities, and loads during the transfer of a patient from bed to wheelchair. The body postures were measured by a full-body motion capture system and a Multi-Kinect System. Muscle activities and loads were recorded via surface electromyography and a force plate. The posture analysis system is based on the motion capture data and considers the recommendations for ergonomic working in the care sector. The system generates a result report visualizing the skeleton model as well as color-coded information about inclination and torsion angles. The motion capture data were also related to EMG and force data and analyzed according to biomechanical assumptions.
Relevance of a history-based activity for mathematics learning
Authors: De Vittori Thomas 
Published: July 2022

AbstractThis paper reports on an experiment involving 108 sixth-grade French students in which the history of Chinese numeration was used in mathematics education. The aim of this study is to evaluate the relevance of using ancient number systems in mathematics education, which is common in French textbooks. In the experiment a pre-test with usual mathematics exercises and an activity with a post-test comprising history-based ones have been proposed. On this data, a factor analysis shows that the tasks based on the history of mathematics combined well with specific mathematical skills. Then, an analysis of the difficulty levels (1PL model) of the regular items and the history-based items helps identifying some key points for which the history of mathematics is relevant.
The Changing Nature of Class Voting in Canada, 1965–2019
Authors: Polacko Matthew , Kiss Simon , Graefe Peter 
Published: July 2022

AbstractMuch attention has been paid to the changing class cleavage that structured political conflict in the twentieth century. In contrast to most advanced democracies, class voting has traditionally been weak in Canada. Using the entire series of the Canadian Election Study (1965–2019), we find the historic pattern of working-class voting for the New Democratic Party (NDP) held outside of Quebec in recent elections, before suddenly falling off in 2019. Starting in 2004, we find a clear and distinct trend where the working class has increased its support for the Conservatives. Although greater partisan sorting is occurring over the economy, cultural issues such as moral traditionalism and anti-immigration are now significant drivers of working-class Conservative support. The findings carry important implications for class-party relationships and reveal that Canada, despite its comparatively weak nativist cleavage, is not immune from the tensions social democratic parties have recently experienced in maintaining cross-class coalitions amid socio-economic structural changes.