bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing intraocular lens power calculation using adjusted conventional keratometry for cataract surgery combined with Descemet membrane endothelial keratoplasty
Authors: Diener Raphael , Treder Maximilian , Lauermann Jost Lennart , Eter Nicole , Alnawaiseh Maged 
Published: March 2022

Abstract
Purpose
To evaluate the utility of intraocular lens (IOL) power calculation using adjusted conventional keratometry (K) according to postoperative posterior to preoperative anterior corneal curvature radii (PPPA) ratio for eyes with Fuch’s dystrophy undergoing cataract surgery combined with Descemet membrane endothelial keratoplasty (triple DMEK).

Methods
A fictitious refractive index (FRI) was determined (Pentacam HR®) based on the PPPA ratio in 50 eyes undergoing triple DMEK. Adjusted corneal power was calculated in every eye using adjusted K values: K values determined by the IOLMaster were converted to adjusted anterior corneal radius using the mean FRI. Posterior corneal radius was calculated using the mean PPPA ratio. Adjusted corneal power was determined based on the calculated corneal radii and thick lens formula. Refractive errors calculated using the Haigis, SRK/T, and HofferQ formulae based on the adjusted corneal power were compared with those based on conventional K measurements.

Results
Calculated PPPA ratio and FRI were 0.801 and 1.3271. Mean prediction error based on conventional K was in the hyperopic direction (Haigis: 0.84D; SRK/T: 0.74D; HofferQ: 0.74D) and significantly higher (P < 0.001) than that based on adjusted corneal power (0.18D, 0.22D, and 15D, respectively).
When calculated according to adjusted corneal power, the percentage of eyes with a hyperopic shift > 0.5D fell significantly from 64 to 30% (Haigis), 62 to 36% (SRK/T), and 58 to 26% (HofferQ), respectively.

Conclusion
IOL power calculation based on adjusted corneal power can be used to reduce the risk of a hyperopic shift after triple DMEK and provides a more accurate refractive outcome than IOL power calculation using conventional K.
Position statement of the Spanish Society of Pediatric Rheumatology on infection screening, prophylaxis, and vaccination of pediatric patients with rheumatic diseases and immunosuppressive therapies: Part 1 (screening)
Authors: Cuadros Esmeralda Núñez , Calzada-Hernández Joan , Clemente Daniel , Martín Sara Guillén , Silveira Laura Fernández , Lirola-Cruz María José , Tagarro Alfredo , Lovillo Marisol Camacho , Rueda Rosa María Alcobendas , López Agustín López , Aritziturri Miren Satrustegi , Calvo Cristina 
Published: March 2022

AbstractThis study provides practical recommendations on infection screening in pediatric patients with immune-mediated rheumatic diseases and immunosuppressive therapies. For this reason, a qualitative approach was applied. A narrative literature review was performed via Medline. Primary searches were conducted using Mesh and free texts to identify articles that analyzed data on infections and vaccinations in pediatric patients with immune-mediated rheumatic diseases and immunosuppressive therapies. The results were presented and discussed in a nominal group meeting, comprising a committee of 12 pediatric rheumatologists from the infections prevention and treatment working group of the Spanish Society of Pediatric Rheumatology. Several recommendations were generated. A consensus procedure was implemented via a Delphi process that was extended to members of the Spanish Society of Pediatric Rheumatology and Vaccine Advisory Committee of the Spanish Association of Pediatrics. Participants to the process produced a score ranging from 0 = totally disagree to 10 = totally agree. Agreement was considered if at least 70% of participants voted ≥ 7. The literature review included more than 400 articles. Overall, 63 recommendations were generated (21 on infection screening) voted by 59 pediatric rheumatologists and other pediatric specialists, all of them achieving the pre-established agreement level. The recommendations on screening cover all the procedures (serology, assessment of risk factors, and other clinical activities) connected with the screening for infections including tuberculosis; hepatitis A, B, and C viruses; measles; mumps; rubella; diphtheria; and other infections. Conclusion: Screening for infections is an essential part of risk management in pediatric patients with immune-mediated rheumatic diseases and immunosuppressive therapies.

What is Known:

• Infectious diseases and related complications are a major cause of morbidity and mortality in patients with immune-mediated rheumatic diseases.

• At present, practical information on infectious prophylaxis in children with rheumatic diseases is limited, and often extrapolated from children with cancer.

What is New:

• In the absence of evidence, a literature review and a Delphi survey were conducted to establish a series of expert recommendations that would be useful in clinical practice, providing a practical and simple day-to-day approach to be used by pediatric rheumatologists.
Datenbasierte, adaptive Regelung von Servomotoren für Industrieroboter
Authors: Ranisch Christopher , Koch Heiko , Streul Timm 
Published: March 2022

ZusammenfassungDatenbasierte Schätzalgorithmen (z. B. künstliche neuronale Netze oder Support Vector Machines) sind eine robuste Alternative zu konventionellen, physikalischen Modellen für adaptive Regler. Dieser Typ Algorithmus kann anhand von empirischen Daten nichtlineare und zeitvariante dynamische Systeme identifizieren sowie zukünftige Ausgangsgrößen prognostizieren. Tiefere Kenntnisse über die Physik des technischen Systems sind somit nicht mehr notwendig, und es können einfach und schnell Modelle abgeleitet werden. Speziell für Industrieroboter eröffnen datenbasierte Schätzalgorithmen neue Möglichkeiten. So muss die nichtlineare Dynamik des Roboters je nach Pose und Last nicht durch komplexe kinematische Gleichungen berechnet, sondern kann aufgrund von Sensordaten geschätzt werden. Dies spart Berechnungszeit bei gleichbleibend hoher Modellgüte. Des Weiteren kann der Regler deutlich schneller bei geänderten Randbedingungen des Roboters, wie beispielsweise stark unterschiedlichen mechanischen Lasten am Endeffektor, adaptiert werden. In diesem Beitrag wird exemplarisch die Auslegung eines datenbasierten, modellprädiktiven Reglers sowohl für einen sechs- als auch für einen einachsigen Gelenkprüfstand diskutiert. Hierbei erfolgen der Entwurf und die Validierung des Reglers anhand einer Co-Simulation bestehend aus Mehrkörper- und Systemsimulation. Designparameter der Regelung (Größe des Modells, Trainingsdaten, Optimierer etc.) werden diskutiert. Schließlich erfolgt eine experimentelle Validierung an einem einachsigen Gelenkprüfstand.
Do Social Media Marketing Activities Improve Brand Loyalty? An Empirical Study on Luxury Fashion Brands
Authors: Fetais Abdulla H. , Algharabat Raed S. , Aljafari Abdullah , Rana Nripendra P. 
Published: March 2022

AbstractThis research aims to investigate the impact of social media marketing activities (SMMa) on brand loyalty directly and through mediating variables community engagement and lovemark. To propose a research model, we used the theories including lovemark theory, engagement theory and brand equity theory. As a result, this research investigates the impact of SMMa, community engagement, and lovemark on brand loyalty. Using an online survey, we collected data from 464 female participants who are following luxury fashion brands on major social networking sites including Facebook, Instagram, Snapchat, and Twitter. Results using PLS revealed that SMMa positively influences community engagement and lovemark. Moreover, we find positive relationships between community engagement, lovemark and brand loyalty. However, we find that SMMa has no direct influence on brand loyalty.
The Athena X-IFU Instrument Simulator xifusim
Authors: Kirsch C. , Lorenz M. , Peille P. , Dauser T. , Ceballos M. T. , Cobo B. , Merino-Alonso P. E. , Cucchetti E. , Smith S. J. , Gottardi L. , Hartog R. H. den , Miniussi A. , Durkin M. , Prêle D. , Wilms J. 
Published: March 2022

AbstractWe present the instrument simulator developed for the X-ray Integral Field Unit X-IFU aboard the planned Athena mission. aims to be an accurate representation of the entire instrument, starting from a full simulation of the Transition-Edge Sensor (TES) array receiving impact photons unconstrained by the small signal limit. Its output current is then propagated through the entire readout chain, including multiplexing, amplification and the digital readout. The final output consists of triggered records, which can be post-processed to reconstruct the photon energies. The readout chain itself is separated into individual, modular blocks with several possible models for each, allowing the simulation of different readout schemes or models of varying physical accuracy at the expense of run time. New models are implemented as necessary to enable studies of the overall readout chain. Such studies are also facilitated by fine-grained control of the simulation output, including the internal state of intermediate simulation blocks. In addition to its modularity, also allows the manipulation of certain internal parameters during a run, enabling the simulation of readout chain characterization measurements, environmental drifts or various kinds of crosstalk.
Therapists’ Emotional Reactions to Patients with Obsessive–Compulsive Disorder: The Role of Therapists’ Orientation and Perfectionism
Authors: Pozza Andrea , Casale Silvia , Dèttore Davide 
Published: March 2022

AbstractTherapist’s emotional response towards patients with obsessive–compulsive disorder (OCD) is under-investigated. This aspect might provide valuable information about therapists’ difficulties during sessions and support supervisory practice, since a proportion of OCD patients drop out due to issues related to the therapeutic relationship. In a sample of therapists, we explored the effects of therapists’ orientation (cognitive behavioural versus psychodynamic) and perfectionistic traits on their emotional responses towards patients with OCD, controlling for other variables potentially related to emotional response towards patients (i.e., therapists’ gender/age and patient’s comorbid personality disorders). Ninety-four therapists (74 women and 20 men; mean age = 42.07 ± 10.17 years), of which 47 (50%) had a cognitive behavioural therapy (CBT) and 47 (50%) a psychodynamic orientation matched on gender and age, completed the Therapist Response Questionnaire and Frost Multidimensional Perfectionism Scale. Therapists with a CBT orientation reported less negative emotional responses, i.e., lower overwhelmed/disorganized, hostile/angry, criticised/devalued, parental/protective and special/over-involved emotions towards patients than therapists with a psychodynamic orientation. Therapists with higher perfectionistic traits (i.e., parents’ expectations/evaluation) had higher hostile/angry reactions, those with higher concerns over mistakes and doubts about actions had more intense criticised/devalued emotions, while those with stronger concerns with precision, order and organization had lower disengagement responses. The present study is the first investigation which sheds some light on the emotional responses of therapists towards OCD patients. Therapists’ CBT orientation and lower perfectionistic traits might be associated with better emotions. Therapists’ emotional responses, their psychotherapeutic orientation and levels of perfectionism should be considered during supervisory practice.
Inverse central ordering for the Newton interpolation formula
Authors: Carnicer J. M. , Khiar Y. , Peña J. M. 
Published: March 2022

AbstractAn inverse central ordering of the nodes is proposed for the Newton interpolation formula. This ordering may improve the stability for certain distributions of nodes. For equidistant nodes, an upper bound of the conditioning is provided. This bound is close to the bound of the conditioning in the Lagrange interpolation formula, whose conditioning is the lowest. This ordering is related to a pivoting strategy of a matrix elimination procedure called Neville elimination. The results are illustrated with examples.
Science, responsibility, and the philosophical imagination
Authors: Sample Matthew 
Published: March 2022

AbstractIf we cannot define science using only analysis or description, then we must rely on imagination to provide us with suitable objects of philosophical inquiry. This process ties our intellectual findings to the particular ways in which we philosophers think about scientific practice and carve out a cognitive space between real world practice and conceptual abstraction. As an example, I consider Heather Douglas’s work on the responsibilities of scientists and document her implicit ideal of science, defined primarily as an epistemic practice. I then contrast her idealization of science with an alternative: “technoscience,” a heuristic concept used to describe nanotechnology, synthetic biology, and similar “Mode 2” forms of research. This comparison reveals that one’s preferred imaginary of science, even when inspired by real practices, has significant implications for the distribution of responsibility. Douglas’s account attributes moral obligations to scientists, while the imaginaries associated with “technoscience” and “Mode 2 science” spread responsibility across the network of practice. This dynamic between mind and social order, I argue, demands an ethics of imagination in which philosophers of science hold themselves accountable for their imaginaries. Extending analogous challenges from feminist philosophy and Mills’s. “Ideal Theory’ as Ideology,” I conclude that we ought to reflect on the idiosyncrasy of the philosophical imagination and consider how our idealizations of science, if widely held, would affect our communities and broader society.
SSLE: A framework for evaluating the “Filter Bubble” effect on the news aggregator and recommenders
Authors: Han Han , Wang Can , Zhao Yunwei , Shu Min , Wang Wenlei , Min Yong 
Published: March 2022

AbstractRecommendation algorithms are data filtering tools that make use of algorithms and data to recommend the most relevant items to a particular user. The algorithm-driven recommenders become indispensable and supersede search engines as the most important information dissemination channel. On one hand, it becomes an integral component in the existing social media, e.g. Weibo, Twitter, etc. On the other hand, news aggregators and recommenders have proliferated and gained an increasing market share. As a result, the previous studies usually study the “filter bubbles” phenomenon in the context where the social filtering dominates the dissemination of information. However, less attention is paid to the news aggregators and recommenders where algorithm-driven technological filtering dominates. Therefore, in the previous research, “filter bubbles” are usually equated with the community structure, but lack of the detailed analysis of the content agglomeration through the users’ interaction with the platforms. Based on these concerns, we propose a four-phase (“Selection”, “Setup”, “Link”, and “Evaluation”) skeletal solution framework targeted at exploiting the filter bubble effect of the personalized news aggregation and recommendation system. Furthermore, we illustrate the effectiveness of the proposed framework with a case study in three top Chinese news aggregators, i.e. Toutiao, Baidu News, and Tencent News. The results show that the users are narrowed into one or a limited number of topics over time. The phenomenon of the narrowed topics is deemed as the emergence of the “filter bubbles”. We also observe that the filter bubbles demonstrate different convergence degrees as user’s individual preference varies.
Two Concepts of Effort
Authors: Smilansky Saul 
Published: March 2022

AbstractI distinguish between two concepts of effort, E-effort and T-effort. E-effort is the familiar one, which focuses on the experiential qualities of making an effort (such the energy and time we put into effort making, or the hardship we endure). Teleological effort (or T-effort) is the motivated and active focus on the intended purpose or goal of the effort; the aim to do what it takes to reach the target of the effort. When we make a T-effort we concentrate on the best way of getting to where we want to be, which may involve putting in less E-effort. Focusing upon T-efforts should help us both to better understand the relationship between effort and success; and to make what I call Real Efforts.
Gaming innovation ecosystem: actors, roles and co-innovation processes
Authors: Klimas Patrycja , Czakon Wojciech 
Published: March 2022

AbstractBurgeoning research on innovation ecosystems offers a variety of conceptual approaches. Recent systematic literature reviews and syntheses provide a rich, diverse, but somehow abstract view of IEs. Our study advances the literature by taking the perspective of those involved in IEs. We aim to identify how various actors contribute to co-innovation in innovation ecosystems. In order to do so, our aim is to establish the various types of actors (who?), the distinct roles (what?), the different stages (when?), and the diverse engagement in co-innovation processes (how?). The study investigates the Polish Gaming Innovation Ecosystem as a globally successful example of a knowledge-intensive and highly creative innovation ecosystem. Data was collected over 3 years (between 2015 and 2017), in three waves of interviews (38) and non-participatory observations (5). We find that Gaming Innovation Ecosystem participants identify a total of 12 types of collective actors, 9 types of individual actors, and 1 community of individuals. Furthermore, we find four distinctive roles that actors may play in the co-creation processes, that is: direct value creation, supporting value creation, encouraging entrepreneurship, and leadership. Finally, we structure the co-innovation process into five stages: co-discovery, co-development, co-deployment, co-delivery and co-dissemination. We identify the diverse scope and varied intensity of actors’ engagement, depending on the co-innovation phase, as perceived by our informants.
The Future of Natural Killer Cell Immunotherapy for B Cell Non-Hodgkin Lymphoma (B Cell NHL)
Authors: Chu Yaya , Lamb Margaret , Cairo Mitchell S. , Lee Dean A. 
Published: March 2022

Opinion statementNatural killer (NK) cells have played a critical—if largely unrecognized or ignored—role in the treatment of B cell non-Hodgkin lymphoma (NHL) since the introduction of CD20-directed immunotherapy with rituximab as a cornerstone of therapy over 25 years ago. Engagement with NK cells leading to lysis of NHL targets through antibody-dependent cellular cytotoxicity (ADCC) is a critical component of rituximab’s mechanism of action. Despite this important role, the only aspect of B cell NHL therapy that has been adopted as standard therapy that even indirectly augments or restores NK cell function is the introduction of obinutuzumab, a CD20 antibody with enhanced ability to engage with NK cells. However, over the last 5 years, adoptive immunotherapy with effector lymphocytes of B cell NHL has experienced tremendous growth, with five different CAR T cell products now licensed by the FDA, four of which target CD19 and have approved indications for some subtype of B cell NHL—axicabtagene ciloleucel, brexucabtagene autoleucel, lisocabtagene maraleucel, and tisagenlecleucel. These T cell-based immunotherapies essentially mimic the recognition, activation pathway, and cytotoxic machinery of a CD19 antibody engaging NK cells and lymphoma targets. Despite their efficacy, these T cell-based immunotherapies have been difficult to implement because they require 4–6 weeks of manufacture, are costly, and have significant toxicities. This renewed interest in the potential of cellular immunity—and the manufacturing, supply chain, and administration logistics that have been addressed with these new agents—have ignited a new wave of enthusiasm for NK cell-directed therapies in NHL. With high safety profiles and proven anti-lymphoma efficacy, one or more new NK cell-directed modalities are certain to be introduced into the standard toolbox of NHL therapy within the next few years, be it function-enhancing cytokine muteins, multi-domain NK cell engagers, or adoptive therapy with expanded or genetically modified NK cells.
Dual-Use and Trustworthy? A Mixed Methods Analysis of AI Diffusion Between Civilian and Defense R&D
Authors: Schmid Stefka , Riebe Thea , Reuter Christian 
Published: March 2022

AbstractArtificial Intelligence (AI) seems to be impacting all industry sectors, while becoming a motor for innovation. The diffusion of AI from the civilian sector to the defense sector, and AI’s dual-use potential has drawn attention from security and ethics scholars. With the publication of the ethical guideline Trustworthy AI by the European Union (EU), normative questions on the application of AI have been further evaluated. In order to draw conclusions on Trustworthy AI as a point of reference for responsible research and development (R&D), we approach the diffusion of AI across both civilian and military spheres in the EU. We capture the extent of technological diffusion and derive European and German patent citation networks. Both networks indicate a low degree of diffusion of AI between civilian and defense sectors. A qualitative investigation of project descriptions of a research institute’s work in both civilian and military fields shows that military AI applications stress accuracy or robustness, while civilian AI reflects a focus on human-centric values. Our work represents a first approach by linking processes of technology diffusion with normative evaluations of R&D.
RESPONSE_ABILITY A Card-Based Engagement Method to Support Researchers’ Ability to Respond to Integrity Issues
Authors: Felt Ulrike , Frantz Florentine 
Published: March 2022

AbstractIssues related to research integrity receive increasing attention in policy discourse and beyond with most universities having introduced by now courses addressing issues of good scientific practice. While communicating expectations and regulations related to good scientific practice is essential, criticism has been raised that integrity courses do not sufficiently address discipline and career-stage specific dimensions, and often do not open up spaces for in-depth engagement. In this article, we present the card-based engagement method RESPONSE_ABILITY, which aims at supporting researchers in developing their ability to respond to challenges of good scientific practice. The method acknowledges that what counts and what does not count as acceptable practice may not be as clear-cut as imagined and that research environments matter when it comes to integrity issues. Using four sets of cards as stimulus material, participants are invited to reflect individually and collectively about questions of research integrity from different perspectives. This approach is meant to train them to negotiate in which contexts certain practices can still be regarded as acceptable and where possible transgressions might begin. RESPONSE_ABILITY can be seen as fostering the creation of an integrity culture as it invites a more reflexive engagement with ideals and realities of good practice and opens a space to address underlying value conflicts researchers may be confronted with. Concluding the article, we call for caution that addressing issues of integrity meaningfully requires striking a delicate balance between raising researchers’ awareness of individual responsibilities and creating institutional environments that allow them to be response-able.