bluuebunny/crossref_metadata_2025_split huggingface dataset:
Earth, Technology, Language: A Contribution to Holistic and Transcendental Revisions After the Artifactual Turn
Authors: Coeckelbergh Mark 
Published: April 2021

AbstractThe empirical turn, understood as a turn to the artifact in the work of Ihde, has been a fruitful one, which has rightly abandoned what Serres and Latour call “the empire of signs” of the postmoderns. However, this has unfortunately implied too little attention for language and its relation to technology. The same can be said about the social dimension of technology use, which is largely neglected in postphenomenology. This talk critically responds to Ihde (mainly) and Stiegler, and sketches a Wittgensteinian inroad to a more holistic and transcendental revision of postphenomenology which does not turn away from the artifact but places it in a wider social context and asks the question regarding the relation between language and technology. Finally, since the earth may be the ultimate condition of possibility, it is asked what this language-sensitive and transcendental approach may imply for rethinking our human position and agency in the Anthropocene. The paper ends with pointing to the role of language as transcendental condition that shapes the very project of thinking the “Anthropocene.”
An integer programming model to assign patients based on mental health impact for tele-psychotherapy intervention during the Covid–19 emergency
Authors: Miniguano-Trujillo Andrés , Salazar Fernanda , Torres Ramiro , Arias Patricio , Sotomayor Koraima 
Published: April 2021

AbstractThe Covid–19 pandemic challenges healthcare systems worldwide while severely impacting mental health. As a result, the rising demand for psychological assistance during crisis times requires early and effective intervention. This contributes to the well-being of the public and front-line workers and prevents mental health disorders. Many countries are offering diverse and accessible services of tele-psychological intervention; Ecuador is not the exception. The present study combines statistical analyses and discrete optimization techniques to solve the problem of assigning patients to therapists for crisis intervention with a single tele-psychotherapy session. The statistical analyses showed that professionals and healthcare workers in contact with Covid–19 patients or with a confirmed diagnosis had a significant relationship with suicide risk, sadness, experiential avoidance, and perception of severity. Moreover, some Covid–19-related variables were found to be predictors of sadness and suicide risk as unveiled via path analysis. This allowed categorizing patients according to their screening and grouping therapists according to their qualifications. With this stratification, a multi-periodic optimization model and a heuristic are proposed to find an adequate assignment of patients to therapists over time. The integer programming model was validated with real-world data, and its results were applied in a volunteer program in Ecuador.
Quality 4.0: a review of big data challenges in manufacturing
Authors: Escobar Carlos A. , McGovern Megan E. , Morales-Menendez Ruben 
Published: April 2021

AbstractIndustrial big data and artificial intelligence are propelling a new era of manufacturing, smart manufacturing. Although these driving technologies have the capacity to advance the state of the art in manufacturing, it is not trivial to do so. Current benchmarks of quality, conformance, productivity, and innovation in industrial manufacturing have set a very high bar for machine learning algorithms. A new concept has recently appeared to address this challenge: Quality 4.0. This name was derived from the pursuit of performance excellence during these times of potentially disruptive digital transformation. The hype surrounding artificial intelligence has influenced many quality leaders take an interest in deploying a Quality 4.0 initiative. According to recent surveys, however, 80–87% of the big data projects never generate a sustainable solution. Moreover, surveys have indicated that most quality leaders do not have a clear vision about how to create value of out these technologies. In this manuscript, the process monitoring for quality initiative, Quality 4.0, is reviewed. Then four relevant issues are identified (paradigm, project selection, process redesign and relearning problems) that must be understood and addressed for successful implementation. Based on this study, a novel 7-step problem solving strategy is introduced. The proposed strategy increases the likelihood of successfully deploying this Quality 4.0 initiative.
Obtaining and main dielectric properties of Ba0.6Pb0.4TiO3/graphene oxide composite
Authors: Skulski Ryszard , Bochenek Dariusz , Brzezińska Dagmara , Stobiński Leszek , Niemiec Przemysław , Dercz Grzegorz , Osińska Katarzyna 
Published: April 2021

AbstractThe paper describes the technology of obtaining and the results of the investigations of microstructure, XRD, SEM, main dielectric properties, electrical conductivity measurements andP-Ehysteresis loops of Ba0.6Pb0.4TiO3/graphene oxide composite (abbr. BPT/GO). In the final step of the technology, the samples have been sintered using the Spark Plasma Sintering (SPS) method. Diffraction patterns of the BPT/GO composite exhibit lines which can be related to perovskite structure. They also reveal additional lines that can be derived from the initial component oxides. Investigations of electrical conductivity suggest that the positive temperature coefficient of resistivity (PTCR) effect occurs at temperatures up to approximately 120 °C. Dielectric hysteresis loops below 90 °C are wide and typical for materials with rather high electrical conductivity. The hysteresis loop obtained at 120 °C is more typical for ferroelectrics. The obtained material is interesting, nevertheless it is probably possible to find better conditions of obtaining and/or a better composition thereof.
A Comprehensive Model for Gambling Behaviors: Assessment of the Factors that can Contribute to the Vulnerability and Maintenance of Gambling Disorder
Authors: Gori Alessio , Topino Eleonora , Craparo Giuseppe , Bagnoli Ilaria , Caretti Vincenzo , Schimmenti Adriano 
Published: April 2021

AbstractGambling Disorder is a complex and multifaceted phenomenon which requires a careful understanding by analysing both the life experiences and the psychopathological components linked to this type of behaviour. This study aimed to apply a Comprehensive Model of Addiction and to delve deeper the dimensions involved in the vulnerability and maintenance of the disease. Therefore, the effect of alexithymia and traumatic experiences in mediating the relationship between insecure attachment and dissociation, as well as the roles of impulsiveness and compulsiveness in influencing obsessiveness were explored in pathological gamblers. A sample composed of 253 individuals with a mean age of 47.8 years (SD = 12.4) with a diagnosis of Gambling Disorder (82.6% males, 17.4% females) completed the battery of measures. Results showed that alexithymia significantly mediates the relationship between insecure attachment and dissociation, while no significance was found in the effect of complex trauma. Furthermore, a significant impact role of impulsiveness and compulsiveness in determining obsessiveness was found. Therefore, the data suggested that alexithymia may increase the risk of developing a gambling disorder, mediating the association between insecure attachment and dissociation. The model of craving which could have a core role in disease maintenance processes was also confirmed, highlighting a significant influence of impulsiveness and compulsiveness on obsessiveness. Such findings might have relevant implications to increase the effectiveness of both preventive interventions and therapeutic works, favouring positive results for a better mental health of the subjects.
Refining Landauer’s Stack: Balancing Error and Dissipation When Erasing Information
Authors: Wimsatt Gregory W. , Boyd Alexander B. , Riechers Paul M. , Crutchfield James P. 
Published: April 2021

AbstractNonequilibrium information thermodynamics determines the minimum energy dissipation to reliably erase memory under time-symmetric control protocols. We demonstrate that its bounds are tight and so show that the costs overwhelm those implied by Landauer’s energy bound on information erasure. Moreover, in the limit of perfect computation, the costs diverge. The conclusion is that time-asymmetric protocols should be developed for efficient, accurate thermodynamic computing. And, that Landauer’s Stack—the full suite of theoretically-predicted thermodynamic costs—is ready for experimental test and calibration.
Multiobjective optimization and decision making in engineering sciences
Authors: Hakanen Jussi , Allmendinger Richard 
Published: April 2021

AbstractReal-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity of decision making and leads to problems that feature multiple competing criteria. A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. Therefore, the effective combination of data, skills, and advanced engineering and management technologies is becoming a key asset to a company urging the need to rethink how to tackle modern decision making problems. This special issue focuses on the intersection between engineering, multiple criteria decision making, multiobjective optimization, and data science. The development of new models and algorithmic methods to solve such problems is in the focus as much as the application of these concepts to real problems. This special issue was motivated by the 25th International Conference on Multiple Criteria Decision Making (MCDM2019) held in Istanbul, Turkey, in 2019.
Enablers of exit through trade sale: the case of early-stage research-based spin-offs
Authors: Mathisen Marius Tuft , Shankar Raj Krishnan , Widding Øystein , Rasmussen Einar , McKelvie Alexander 
Published: April 2021

AbstractA significant share of new technology-based ventures exit through trade sale at an early stage of firm development. While trade sale is an important exit route for entrepreneurs and investors, and a potential source of new innovations and technology for acquiring firms, we have limited knowledge about the factors that help to effectively achieve a trade sale. We employ a unique dataset tracking the population of research-based spin-offs in Norway and conduct in-depth case studies of nine trade sales. Building on 52 interviews and other secondary data, we inductively develop propositions outlining three dimensions that lead to a successful trade sale—potential synergies, credible alternatives, and uncertainty reduction. We show that these enablers of trade sales are not only linked to the focal venture but also related to the idiosyncratic dyad with the buyer, reflecting both the potential for and likelihood of trade sale. Consequently, our study contributes to the literatures on entrepreneurial exit and academic entrepreneurship by mapping the important but under-explored area of trade sale as an exit mode.Plain English SummaryPotential synergies and credible alternatives increase the potential of a research-based spin-offs’ trade sale, but the likelihood of a trade sale depends on how uncertainty reduction is managed. A trade sale is an important exit route for entrepreneurs and investors, and a potential source of new innovations and technology for acquiring firms. Research-based spin-offs are often acquired during their early stages of development by large corporations. We track the population of Norwegian research-based spin-offs and study nine trade sales in depth. Our findings concerning the importance of synergy potential, credible alternatives, and uncertainty reduction have implications for both academic entrepreneurs and potential buyers for how they can complete an exit through trade sale. Since scientific research is critical for society, our findings have implications for policymakers in the form of interesting ideas for influencing trade sales, a potentially important route for commercialization of scientific research.
Infektionen und Lebertransplantation
Authors: Queck A. , Ferstl P. , Bruns T. , Trebicka J. 
Published: April 2021

ZusammenfassungAkute hepatische Dekompensationen werden häufig durch bakterielle Infektionen ausgelöst und zeichnen häufig einen schlechten Verlauf der Leberzirrhose aus, der kurativ nur durch die Transplantation behandelt werden kann. Neben der spontanen bakteriellen Peritonitis stellen Harnwegs‑, Atemwegs- und Weichteilinfektionen die häufigsten Entitäten bakterieller Infektionen bei Patienten mit Leberzirrhose dar. In der Diagnostik und Therapie dieser Infektionen muss die weltweit steigende Prävalenz multiresistenter Erreger beachtet werden, insbesondere aufgrund deren erhöhten Morbidität und Mortalität auf dem Boden der dekompensierten Zirrhose. Der hohen Mortalität der fortgeschrittenen Leberzirrhose steht ein 1‑Jahres-Überleben über 80 % nach Lebertransplantation in Deutschland gegenüber, wobei eine Diskrepanz zwischen verfügbaren Spenderorganen und Patienten auf der Warteliste für eine Lebertransplantation besteht. Trotz der Priorisierung nach Dringlichkeit der Transplantation und der Möglichkeit der Leberlebendspende versterben jährlich Patienten vor Erhalt eines Spenderorgans. Dies unterstreicht den hohen Stellenwert der Organspende sowie der Notwendigkeit einer hohen Achtsamkeit in der Transplantationsmedizin.
Guiding Academic Clinician Educators at Research-Intensive Institutions: a Framework for Chairs, Chiefs, and Mentors
Authors: Chang Anna , Schwartz Brian S. , Harleman Elizabeth , Johnson Meshell , Walter Louise C. , Fernandez Alicia 
Published: April 2021

AbstractDepartment chairs and division chiefs at research-intensive academic medical centers often find mentoring clinician educators challenging. These faculty constitute the majority of academic physicians. Supporting excellent clinician educators is key to ensuring high-quality patient care and developing tomorrow’s physicians. Little has been written for leaders on strategies to advance academic clinician educators’ career success. We present a framework to guide chairs, chiefs, and mentors seeking to address clinician educator retention and satisfaction in academic medical centers.
Spring recharge and groundwater flow patterns in flysch aquifer in the Połonina Wetlińska Massif in the Carpathian Mountains
Authors: Mostowik Karolina , Krzyczman Damian , Płaczkowska Eliza , Rzonca Bartłomiej , Siwek Janusz , Wacławczyk Patryk 
Published: April 2021

AbstractFlysch-type aquifers in the Eastern Carpathians usually feed periodic and low-discharge springs. However, in some areas, such as in the upper part of the Połonina Wetlińska Massif, perennial springs with a relatively high discharge were identified. Therefore, the aim of this study was to identify recharge and groundwater flow patterns of three high-discharge springs based on the response of spring discharge to rainfall and on the relationship between specific electrical conductivity of water and spring discharge. The relation between spring discharge and rainfall was investigated by cross-correlation analyses. Generally, cumulative rainfall over a period from 10 days to 3 months is most strongly correlated with discharge; however, the response time of spring discharge varies throughout the year. Faster response to rainfall occurs in the spring after snowmelt, while in the summer and autumn months the response time increases. Two flow systems were identified: 1) a relatively deep, fissure-pore flow system with a long response time to precipitation and 2) a shallow, fissure-dominated system with a short response time, which is superimposed on the longer response. A small range of specific electrical conductivity combined with the varying discharge of two springs suggests that dilution of groundwater by rainwater does not play a significant role. The differences in the studied springs’ response to rainfall can be attributed to the recharge area, regolith features and local bedrock structures, i.e. occurrence of joints and faults, monoclinal dip of rock layers and gravitational slope deformations including ridge-top trenches, which, thus far, have been underestimated in determining groundwater storage capacity in the flysch part of the Carpathians.
CFD Modeling of Multiphase Flow in an SKS Furnace: The Effect of Tuyere Arrangements
Authors: Song Kezhou , Jokilaakso Ari 
Published: April 2021

Abstract
The emerging bottom blown copper smelting (SKS) technology has attracted growing interest since it came into production. To further reveal the agitation behavior inside the bath and optimize the variable parameters, CFD simulation was conducted on a scaled down SKS furnace model with different tuyere arrangements. The Multi-Fluid VOF model was used for the first time in SKS furnace simulation and the simulated results show good agreement with an experimental water model reported in the literature, in terms of plume shape and surface wave. It was found that a low velocity region would appear on the opposite side of the bubble plume and persisted for a long time. To enhance the agitation in the low velocity region and reduce the dead zone area, an arrangement with tuyeres installed at each side of the furnace was recommended. Results suggested that a smaller tuyere angle difference would help to strengthen the agitation in the system. However, further investigation indicated that the difference in tuyere angle between two rows of tuyeres should be limited within a certain range to balance the requirements of higher agitation efficiency and longer lining refractory lifespan.
Ibrutinib in Patients with Relapsed or Refractory Diffuse Large B-Cell Lymphoma: A Retrospective Study
Authors: Ren Liangliang , Li Ling , Zhang Lei , Li Xin , Fu Xiaorui , Wang Xinhua , Wu Jingjing , Sun Zhenchang , Feng Xiaoyan , Chang Yu , Zhou Zhiyuan , Nan Feifei , Yan Jiaqin , Kong Fei , Zhang Mingzhi 
Published: April 2021

AbstractLimited treatment options are available for relapsed or refractory diffuse large B cell lymphoma (RR DLBCL). Few clinical studies have reported the use of Ibrutinib, a covalent Bruton Tyrosine kinase (BTK) inhibitor, in RR DLBCL. There are relatively few clinical studies about Ibrutinib in RR DLBCL now. We retrospectively investigated the safety and efficacy of Ibrutinib (alone or in combination with other drugs) in patients with RR DLBCL. We reviewed the medical records of 40 RR DLBCL patients who received Ibrutinib alone or in combination with other drugs in our hospital from June 2018 to August 2020. The objective response rate (ORR) of RR DLBCL patients on Ibrutinib was 22.5%. The median progression free survival time (PFS) was 13.0 months (95% CI 8.914–17.086), and the median overall survival time (OS) was 15.0 months (95% CI 11.931–18.089). Rash (25.0%) and fatigue (25.0%) were the most common adverse reactions in this study. The application of Ibrutinib to patients with RR DLBCL has good short-term efficacy, and the adverse reactions are well tolerated. Combined treatment of Ibrutinib with other drugs has been found to more effective than Ibrutinib therapy alone.
Establishment of the Psychometric Properties of a Disaster Resilience Measuring Tool for Healthcare Rescuers in China: A Cross-Sectional Study
Authors: Mao Xiaorong , Chen Kang , Hu Xiuying , Wen Xianxiu , Loke Alice Yuen 
Published: April 2021

AbstractThe aim of this study was to test the validity and reliability of a tool for measuring the disaster resilience of healthcare disaster rescuers. A cross-sectional study involving 936 healthcare disaster rescuers of the Sichuan Disaster Response Team was conducted to establish the psychometric properties of the disaster resilience measuring tool (DRMT). Item analysis, exploratory factor analysis, confirmatory factor analysis, and correlation analysis were adopted to analyze the data. Item analysis showed that all but three items had the critical ratio over 3, which indicates adequate discriminability for inclusion in the measuring tool. The exploratory factor analysis showed that 65.93% of the total variance was explained by four factors—self-efficacy, social support, positive growth, and altruism. The confirmatory factor analysis showed goodness of fit for the four-factor model: CMIN/DF (2.846), GFI (0.916 ≥ 0.90), CFI (0.949 ≥ 0.90), AGFI (0.891 ≥ 0.80), and RMSEA (0.063 ≤ 0.08). Criterion validity demonstrated significant associations of the DRMT and the Connor-Davidson Resilience Scale (P< 0.01,r= 0.566). Convergent validity was established by correlation with stress (P< 0.05,r= − 0.095), depression (P< 0.01,r= − 0.127), posttraumatic stress disorder-PCL-C (P< 0.05, r = − 0.100), compassion satisfaction (P< 0.01,r= 0.536), and burnout (P< 0.01,r= − 0.330). The DRMT demonstrated adequate internal consistency (Cronbach’s alpha > 0.84) and stability over the two-week study period (intraclass correlation coefficient > 0.85), and a cut-off point of 61 was suggested. The disaster resilience measuring tool has satisfactory psychometric properties and is a valid, reliable, and valuable instrument for assessing disaster resilience in healthcare rescue workers. The scale needs to be tested further among other populations and those from other cultures.
Comparison-based centrality measures
Authors: Rendsburg Luca , Garreau Damien 
Published: April 2021

AbstractRecently, learning only from ordinal information of the type “itemxis closer to itemythan to itemz” has received increasing attention in the machine learning community. Such triplet comparisons are particularly well suited for learning from crowdsourced human intelligence tasks, in which workers make statements about the relative distances in a triplet of items. In this paper, we systematically investigate comparison-based centrality measures on triplets and theoretically analyze their underlying Euclidean notion of centrality. Two such measures already appear in the literature under opposing approaches, and we propose a third measure, which is a natural compromise between these two. We further discuss their relation to statistical depth functions, which comprise desirable properties for centrality measures, and conclude with experiments on real and synthetic datasets for medoid estimation and outlier detection.
Optimal trajectory planning of complicated robotic timber joints based on particle swarm optimization and an adaptive genetic algorithm
Authors: Meng Yiping , Sun Yiming , Chang Wen-shao 
Published: April 2021

AbstractIn this paper, a methodology for path distance and time synthetic optimal trajectory planning is described in order to improve the work efficiency of a robotic chainsaw when dealing with cutting complex timber joints. To demonstrate this approach one specific complicated timber joint is used as an example. The trajectory is interpolated in the joint space by using a quantic polynomial function which enables the trajectory to be constrained in the kinematic limits of velocity, acceleration, and jerk. The particle swarm optimization (PSO) is applied to optimize the path of all cutting surfaces of the timber joint in operating space to achieve the shortest path. Based on the optimal path, an adaptive genetic algorithm (AGA) is used to optimize the time interval of interpolation points of every joint to realize the time-optimal trajectory. The results of the simulation show that the PSO method shortens the distance of the trajectory and that the AGA algorithm reduces time intervals and helps to obtain smooth trajectories, validating the effectiveness and practicability of the two proposed methodology on path and time optimization for 6-DOF robots when used in cutting tasks.