bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hashed, binned A-buffer for real-time outlier removal and rendering of noisy point clouds
Authors: Sommerhoff Hendrik , Kolb Andreas 
Published: June 2023

AbstractTypical point-based rendering algorithms cannot directly handle large outliers or high amounts of noise without either a costly pre-processing of the point cloud or using multiple render passes. In this paper, we propose an A-buffer-based approach that directly renders unprocessed point clouds and filters out outliers in real time, without introducing additional render passes. The core concept of our approach uses bins along each pixel ray in which intermediate information is accumulated. To improve storage efficiency, we extend the binned A-buffer approach using per-ray bin hashing. Our method significantly improves visual quality when rendering noisy point clouds with varying noise levels and large outliers, while only requiring little performance and memory overhead compared to traditional point rendering methods.
The effect of GP-2250 on cultured virus-negative Merkel cell carcinoma cells: preliminary results
Authors: Gambichler Thilo , Majchrzak-Stiller Britta , Peters Ilka , Becker Jürgen C. , Strotmann Johanna , Abu Rached Nessr , Müller Thomas , Uhl Waldemar , Buchholz Marie , Braumann Chris 
Published: June 2023

Abstract
Background
Even in the novel immunotherapy era, Merkel cell carcinoma (MCC) remains challenging in its treatment. Apart from Merkel cell polyomavirus (MCPyV) associated MCC, this cancer is linked in about 20% of cases to ultraviolet-induced mutational burden frequently causing aberrations in Notch and PI3K/AKT/mTOR signalling pathways. The recently developed agent GP-2250 is capable to inhibit growth of cells of different cancers, including pancreatic neuroendocrine tumors. The objective of the present study was to investigate the effects of GP-2250 on MCPyV-negative MCC cells.

Methods
Methods We employed three cell lines (MCC13, MCC14.2, MCC26) which were exposed to different GP-2250doses. GP-2250’s effects on cell viability, proliferation, and migration were evaluated by means of MTT, BrdU, and scratch assays, respectively. Flow cytometry was performed for the evaluation of apoptosis and necrosis. Western blotting was implemented for the determination of AKT, mTOR, STAT3, and Notch1 protein expression.

Results
Cell viability, proliferation, and migration decreased with increasing GP-2250 doses. Flow cytometry revealed a dose response to GP-2250 in all three MCC cell lines. While the viable fraction decreased, the share of necrotic and in a smaller amount the apoptotic cells increased. Regarding Notch1, AKT, mTOR, and STAT3 expression a comparatively time- and dose-dependent decrease of protein expression in the MCC13 and MCC26 cell lines was observed. By contrast, Notch1, AKT, mTOR, and STAT3 expression in MCC14.2 was scarcely altered or even increased by the three dosages of GP-2250 applied.

Conclusions
The present study indicates GP-2250 having anti-neoplastic effects in MCPyV-negative tumor cells in regard to viability, proliferation, and migration. Moreover, the substance is capable of downregulating protein expression of aberrant tumorigenic pathways in MCPyV-negative MCC cells.
Auswirkungen der Online-Lehre auf die Psychotherapieausbildung. Eine Mixed-Method-Studie an der Sigmund Freud PrivatUniversität Wien
Authors: Akgün Adalet , Forghani Roxane , Fiegl Jutta , Tilkidzhieva Elitsa 
Published: June 2023

ZusammenfassungDie pandemiebedingte Umstellung auf die Online-Lehre im Jahr 2020 stellte die Psychotherapieausbildung vor neue Herausforderungen, vor allem, weil der persönliche Kontakt und die Praxiserfahrung für die Ausbildung in diesem Beruf so wesentlich sind. Ausgehend von den Erfahrungen der Auszubildenden wurden in dieser explorativen Querschnittsstudie (Mixed-Methods-Design) die Auswirkungen der Online-Lehre auf die Psychotherapieausbildung an der Sigmund Freud PrivatUniversität Wien untersucht. Die Ergebnisse zeigen, dass die Auszubildenden – trotz einiger Herausforderungen – im allgemeinen positive Erfahrungen mit der Online-Lehre gemacht haben und in der Lage waren, sich an die neuen Umstände anzupassen. Gleichzeitig zeigte sich, dass die psychotherapeutische Ausbildung Online nur bedingt möglich ist, da u. a. die in der Präsenz gemachten Erfahrungen nicht vollständig Online erlebt werden konnten.
Simulation Study on the Tribological Characteristics in the Meshing Contact in the Context of the Load Carrying Capacity Calculation of Internal Gears with Unbalanced Sliding Conditions
Authors: Geitner Michael , Preintner Sebastian , Tobie Thomas , Stahl Karsten 
Published: June 2023

AbstractPlanetary gearboxes are characterized by a high power density and a compact design with coaxial in- and output. Consequently, planetary gear units are frequently used in many practical applications, e.g. in wind energy and industrial transmission systems as well as in automotive applications such as automatic transmissions. As a result of the scaling-up of the required system power, the risk of flank damages increased during the last decade. Certain damage types, such as pitting and micropitting, occur predominantly in contact areas of negative specific sliding on the tooth flank surface. Unlike external gears, internal gears offer the possibility of positioning the pitch point C outside of the active profile. Depending on the gear design, this allows a complete avoidance of negative specific sliding either on the planet or on the ring gear. In contrast, the corresponding gear is subjected to negative specific sliding only. It can be assumed that the lifetime regarding flank damages of each meshing partner can be affected by different positions of the pitch point and the resulting differences in the specific sliding, which allows an optimization of the full gear system, taking into account e.g. the load carrying capacity reserves for different material pairings. It is to be noted that such gear designs are already part of some practical applications.However, the existing analytical approaches within standardized load carrying capacity calculation methods are typically based on investigations considering external gears with balanced sliding conditions. Systematic results on internal gear designs with pitch point positioned outside of the active profile are not available.Within this paper, extended theoretical studies on the tribological characteristics of different internal gear designs are presented. Therefore, a reference geometry with balanced sliding conditions is compared to internal gears with pitch point below respectively above the active profile. The focus of the studies is the analysis of the lubricant film thickness and the contact temperature in the meshing contact. Referring to this, a high-order TEHL contact simulation model was used. The results of the numerical analysis with the FZG calculation software TriboMesh are compared to different analytical approaches in the context of the calculation of load carrying capacity to derive recommendations for the design of internal gears.
Phytophagy of Nesidiocoris tenuis triggers the response of Trichogramma achaeae to tomato plants infested by Tuta absoluta
Authors: Cascone Pasquale , Tabebordbar Fatemeh , Cencetti Gabriele , Michelozzi Marco , Shishehbor Parviz , Guerrieri Emilio , Giorgini Massimo 
Published: June 2023

AbstractThe generalist predator Nesidiocoris tenuis, an effective biological control agent of numerous pests of the tomato crops, can also trigger plant defence mechanisms (direct and indirect) due to its phytophagous behaviour. In southern Europe, Nesidiocoris tenuis is frequently released in tomato greenhouses to control the invasive pest Tuta absoluta, sometimes combined with another biocontrol agent, the egg parasitoid Trichogramma achaeae. In this study, using olfactometer bioassays, we showed that the modification of the volatile chemical profile induced by the plant feeding activity of the mirid made tomato plants more attractive to T. achaeae, both in the absence and in the presence of T. absoluta eggs or larvae. This result was discussed in relation to difference observed among the chemical profiles of the volatile organic compounds released by tomato plants punctured by N. tenuis, without or in combination with T. absoluta infestation. We found that a few compounds (e.g.β-pinene and myrcene) could play a role in the foraging behaviour of T. achaeae in this scenario. Overall, our data support the emerging idea of an ecological role of N. tenuis, in addition to its predatory activity, in making tomato crops more resilient against the attack of pests, including T. absoluta.
Micromechanical Loading Studies in Ex Vivo Cultured Embryonic Rat Bones Enabled by a Newly Developed Portable Loading Device
Authors: Zhang Zhengpei , Zaman Farasat , Nava Tobia Sebastiano , Aeppli Tim R. J. , Gutierrez-Farewik Elena M. , Kulachenko Artem , Sävendahl Lars 
Published: June 2023

AbstractMechanical loading has been described as having the potential to affect bone growth. In order to experimentally study the potential clinical applications of mechanical loading as a novel treatment to locally modulate bone growth, there is a need to develop a portable mechanical loading device enabling studies in small bones. Existing devices are bulky and challenging to transfer within and between laboratories and animal facilities, and they do not offer user-friendly mechanical testing across both ex vivo cultured small bones and in vivo animal models. To address this, we developed a portable loading device comprised of a linear actuator fixed within a stainless-steel frame equipped with suitable structures and interfaces. The actuator, along with the supplied control system, can achieve high-precision force control within the desired force and frequency range, allowing various load application scenarios. To validate the functionality of this new device, proof-of-concept studies were performed in ex vivo cultured rat bones of varying sizes. First, very small fetal metatarsal bones were microdissected and exposed to 0.4 N loading applied at 0.77 Hz for 30 s. When bone lengths were measured after 5 days in culture, loaded bones had grown less than unloaded controls (p < 0.05). Next, fetal rat femur bones were periodically exposed to 0.4 N loading at 0.77 Hz while being cultured ex vivo for 12 days. Interestingly, this loading regimen had the opposite effect on bone growth, i.e., loaded femur bones grew significantly more than unloaded controls (p < 0.001). These findings suggest that complex relationships between longitudinal bone growth and mechanical loading can be determined using this device. We conclude that our new portable mechanical loading device allows experimental studies in small bones of varying sizes, which may facilitate further preclinical studies exploring the potential clinical applications of mechanical loading.
Intelligent techniques in e-learning: a literature review
Authors: Ilić Miloš , Mikić Vladimir , Kopanja Lazar , Vesin Boban 
Published: June 2023

AbstractOnline learning has become increasingly important, having in mind the latest events, imposed isolation measures and closed schools and campuses. Consequently, teachers and students need to embrace digital tools and platforms, bridge the newly established physical gap between them, and consume education in various new ways. Although literature indicates that the development of intelligent techniques must be incorporated in e-learning systems to make them more effective, the need exists for research on how these techniques impact the whole process of online learning, and how they affect learners’ performance. This paper aims to provide comprehensive research on innovations in e-learning, and present a literature review of used intelligent techniques and explore their potential benefits. This research presents a categorization of intelligent techniques, and explores their roles in e-learning environments. By summarizing the state of the art in the area, the authors outline past research, highlight its gaps, and indicate important implications for practice. The goal is to understand better available intelligent techniques, their implementation and application in e-learning context, and their impact on improving learning in online education. Finally, the review concludes that AI-supported solutions not only can support learner and teacher, by recommending resources and grading submissions, but they can offer fully personalized learning experience.
Enhancing the online student experience through the application of Universal Design for Learning (UDL) to research methods learning and teaching
Authors: Seymour Mairead 
Published: June 2023

AbstractThis paper documents the process and outcomes of redesigning an online research methods module for taught postgraduate students using Universal Design for Learning (UDL). It also explores the effectiveness of UDL-informed design and practice to support the development of social, cognitive and teacher presence as defined under the Community of Inquiry (CoI) framework. The paper is based on findings from an online survey with students taking a research methods module as part of their Master of Arts (MA) programme. The findings point to a number of UDL-informed structures and practices that supported students’ engagement on the module. These include (a) accessibility of the online learning resources (b) weekly structure and signposting (c) online peer connection and collaboration and (d) lecturer communication. It was also established that UDL, as applied in the redesign of this module, supported the development of cognitive, teaching and social presence. The conclusion of this paper is that UDL-informed design and practice has the potential to influence online learning in multiple and interdependent ways; in its own right and through its application in developing cognitive, social and teaching presence. The findings highlight the benefits of adopting UDL for wider application, particularly in the context of growing diversity in student populations in higher education.
Estimation of Uncertainties in Soil Using MCMC Simulation and Effect of Model Uncertainty
Authors: Rana Himanshu , Pandit Bhardwaj , Sivakumar Babu G. L. 
Published: June 2023

AbstractThe simulation of field conditions for seismically induced slope failures incorporates model uncertainties, which account for the difference between simulated and observed slope behaviour. The quantification of this uncertainty is mandatory to understand the field response of the geotechnical system and make decisions for geotechnical systems. Previous studies have partially studied uncertainty for slope systems under seismic loading. To this aim, this study proposes a methodology based on probabilistic back analysis to estimate uncertainties in soil parameters considering the observed slope response under seismic loading. The proposed method involves support vector regression (SVR) model to map the relationship between soil parameters and seismically induced slope displacement. The SVR model is generated using the data from the numerical simulation of slope system under seismic loading using FLAC 2D. Further, the developed SVR model is used for probabilistic back analysis using Markov Chain Monte Carlo (MCMC) simulation. The Noto Hanto earthquake in 2007 and the subsequent slope failure along Noto Yuryo Road, Japan, are considered as a case study to validate the proposed methodology. The results of the case study show that the updated or inferred soil parameters have less variability than the prior distribution. Further, the uncertainties in the slope system influence the inferred soil parameters. Hence, a parametric study is conducted to investigate the effect of model uncertainty on the posterior statistics of soil parameters. The study results facilitate a better understanding of the slope deformation mechanism and the effect of model uncertainty on the updated statistics of soil parameters.
Guideline-directed medical therapy for HFrEF: sequencing strategies and barriers for life-saving drug therapy
Authors: Malgie Jishnu , Clephas Pascal R. D. , Brunner-La Rocca Hans-Peter , de Boer Rudolf A. , Brugts Jasper J. 
Published: June 2023

Abstract
Multiple landmark trials have helped to advance the treatment of heart failure with reduced ejection fraction (HFrEF) significantly over the past decade. These trials have led to the introduction of four main drug classes into the 2021 ESC guideline, namely angiotensin-receptor neprilysin inhibitors/angiotensin-converting-enzyme inhibitors, beta-blockers, mineralocorticoid receptor antagonists, and sodium-glucose cotransporter-2 inhibitors. The life-saving effect of these therapies has been shown to be additive and becomes apparent within weeks, which is why maximally tolerated or target doses of all drug classes should be strived for as quickly as possible. Recent evidence, such as the STRONG-HF trial, demonstrated that rapid drug implementation and up-titration is superior to the traditional and more gradual step-by-step approach where valuable time is lost to up-titration. Accordingly, multiple rapid drug implementation and sequencing strategies have been proposed to significantly reduce the time needed for the titration process. Such strategies are urgently needed since previous large-scale registries have shown that guideline-directed medical therapy (GDMT) implementation is a challenge. This challenge is reflected by generally low adherence rates, which can be attributed to factors considering the patient, health care system, and local hospital/health care provider. This review of the four medication classes used to treat HFrEF seeks to present a thorough overview of the data supporting current GDMT, discuss the obstacles to GDMT implementation and up-titration, and identify multiple sequencing strategies that could improve GDMT adherence.
Graphical Abstract
Sequencing strategies for GDMT implementation. GDMT: guideline-directed medical therapy; ACEi: angiotensin-converting enzyme inhibitor; ARB: Angiotensin II receptor blocker; ARNi: angiotensin receptor–neprilysin inhibitor; BB: beta-blocker; MRA: mineralocorticoid receptor antagonist; SGLT2i: sodium–glucose co-transporter 2 inhibitor
Evolutionary finance: a model with endogenous asset payoffs
Authors: Evstigneev I. V. , Hens T. , Vanaei M. J. 
Published: June 2023

AbstractEvolutionary Finance (EF) explores financial markets as evolving biological systems. Investors pursuing diverse investment strategies compete for the market capital. Some “survive” and some “become extinct”. A central goal is to identify evolutionary stable (in one sense or another) investment strategies. The problem is analyzed in a framework combining stochastic dynamics and evolutionary game theory. Most of the models currently considered in EF assume that asset payoffs are exogenous and depend only on the underlying stochastic process of states of the world. The present work develops a model where the payoffs are endogenous: they depend on the share of total market wealth invested in the asset.
On the construction of LIECE models for the serotonin receptor 5-HT$$_{\text {2A}}$$R
Authors: Shahraki Aida , Selent Jana , Kolb Peter 
Published: June 2023

AbstractComputer-aided approaches to ligand design need to balance accuracy with speed. This is particularly true for one of the key parameters to be optimized during ligand development, the free energy of binding ($$\Delta$$
Δ
G$$_{\text {bind}}$$

bind

). Here, we developed simple models based on the Linear Interaction Energy approximation to free energy calculation for a G protein-coupled receptor, the serotonin receptor 2A, and critically evaluated their accuracy. Several lessons can be taken from our calculations, providing information on the influence of the docking software used, the conformational state of the receptor, the cocrystallized ligand, and its comparability to the training/test ligands.
Informant Discrepancy in Report of Parent-adolescent Conflict as a Predictor of Hopelessness among Depressed Adolescents: A Replication Study
Authors: Rognli Erling W. , Fjermestad Krister W. 
Published: June 2023

AbstractMore knowledge is needed about how family factors influence depression features in adolescents. We aimed to replicate a previous small sample study showing that higher discrepancy between adolescents and caregivers in report of conflict predicted more hopelessness in adolescents with major depression. The current sample comprised 417 adolescent and maternal caregiver dyads. The adolescents were aged between 12 and 17 years (55.4% female, 44.6% male). The sample was drawn from the Treatment of Adolescents with Depression Study (TADS). Analyses were conducted using latent difference score modelling, item response theory, and linear regression in a Bayesian framework. Higher adolescent-perceived conflict relative to caregiver-perceived conflict predicted more adolescent hopelessness. This replicated the original findings in a much larger sample. Adolescent gender did not influence the associations. Addressing divergence in adolescent and parent perceptions of conflict may be relevant to ameliorate hopelessness in treatment of adolescents with depression.
“They Protect us as if they were our Mom” Masking Attitudes from Freelist Survey Data and Qualitative Interviews in San Diego School Communities
Authors: Omaleki V. , Gonzalez A. Flores , Hassani A. , Flores M. , Streuli S. , Guerra A. Wishard , Fielding-Miller R. 
Published: June 2023

AbstractBackground: Despite being disproportionately impacted by COVID-19 due to a lack of structural support, marginalized communities have been largely ignored in the politically polarized debate over school masking. In response to this, we sought to explore masking attitudes by centering the voices of parents and children at historically marginalized, predominantly Hispanic schools in southern California. Methods: We conducted a mixed-methods study with parents and children attending 26 low-income predominantly Hispanic-serving elementary schools. A random sample of parents was asked to provide a freelist of words they associate with masking. A subset of parents with children aged 4–6 was recruited from these surveys to participate in parent-child interviews (PCI). We calculated Smith’s salience index for all unique items, stratifying by language (English/Spanish). Item salience guided PCI thematic analysis for additional context and meaning. Results: 648 participants provided 1118 unique freelist items in English and Spanish. 19 parent-child pairs were interviewed, 11 in Spanish and 8 in English. The most salient words were “safety”(0.37), “protection”(0.12), “prevention”(0.05), “health”(0.04), “good”(0.03), “can’t breathe”(0.03), “necessary”(0.02), “care”(0.02), “precaution”(0.02), and “unnecessary”(0.02). Spanish speakers had a more favorable view of masking than English speakers, particularly regarding “protection” (0.20 vs 0.08) and “prevention” (0.10 vs 0.02). Discussion: Masking is an affordable individual-level risk mitigation that protects the communities that have inequitably shouldered the burdens of the COVID-19 pandemic. We recommend that policymakers prioritize the views of those most impacted when deciding on risk mitigation policies like school masking.