Publications by authors named "Donner R"

Identifying complex periodic windows surrounded by chaos in the two or higher dimensional parameter space of certain dynamical systems is a challenging task for time series analysis based on complex network approaches. This holds particularly true for the case of shrimp structures, where different bifurcations occur when crossing different domain boundaries. The corresponding dynamics often exhibit either period-doubling when crossing the inner boundaries or, respectively, intermittency for outer boundaries.

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  • Statistical physics and dynamical systems theory are essential for understanding high-impact geophysical events, like temperature extremes and cyclones, which arise from deviations in typical geophysical system behaviors.
  • Traditional statistical techniques can predict the likelihood of these events but struggle to connect them to the underlying physics of anomalous geophysical regimes.
  • The paper discusses this gap in knowledge, highlighting challenges and proposing new approaches, particularly stochastic methods, to improve our understanding of extreme geophysical phenomena.
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  • The review aimed to assess how effective amniotic membrane extract eye drops (AMEDs) are in treating ocular surface diseases by analyzing existing literature.
  • After searching major databases, 12 out of 1,121 initial studies were deemed suitable for analysis, covering various clinical outcomes and methods of preparation for AMEDs.
  • The findings suggest that while evidence quality is not perfect, AMEDs provide improvements for patients with conditions like dry eye disease and corneal wounds, reporting a low incidence of side effects.
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Purpose: To evaluate the effect of decreasing barometric pressure on intracameral bubble size and intraocular pressure (IOP) in eyes with varying air fills in the anterior chamber.

Methods: A total of 36 human donor eyes received 30%, 50%, or 90% anterior chamber air fill. The eyes were subjected to decreases in atmospheric pressure down to 750 hPa, equal to 2400 m in altitude, and were repeatedly imaged using anterior segment OCT while IOP was measured continuously.

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To evaluate the clinical implications of the different trypan blue dyeing techniques used during liquid bubble (LBT) and manual peel (MPT) DMEK lenticule preparation techniques. This study retrospectively compared the degree to which endothelial cells are preserved using selective Descemet Membrane (DM) staining (LBT) versus bath-staining (MPT) when performed by a single surgeon, sourced from a single eye bank. Endothelial cell density measured after the 3-month follow-up was 1805 and 1916 cells/mm respectively, differing significantly (p = 0.

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To investigate the effectiveness of an accelerated high-fluence peripheral crosslinking (pCXL) treatment protocol for corneal neovascularization (cNV) and the viability of optical coherence tomography angiography (OCTA) to monitor cNV dynamics. This pilot study included six eyes of six adult patients with cNV in at least one corneal quadrant who were treated with pCXL (7.2 J/cm, 9 mW).

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  • Corneal vascularization (CV) can compromise the cornea's ability to heal and increase the risk of rejection after corneal transplants (keratoplasty), making reliable imaging methods important for pre-surgical evaluation.
  • This study assessed the effectiveness of Anterior Segment Optical Coherence Tomography Angiography (AS-OCTA) in visualizing and quantifying CV compared to traditional slit-lamp photography in high-risk eyes.
  • Findings indicated that AS-OCTA provided clearer and more detailed images of vascular structures and metrics related to CV, suggesting it could be an essential tool for monitoring and guiding treatment before keratoplasty.
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Functional networks are powerful tools to study statistical interdependency structures in spatially extended or multivariable systems. They have been used to get insights into the dynamics of complex systems in various areas of science. In particular, percolation properties of correlation networks have been employed to identify early warning signals of critical transitions.

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Many natural systems show emergent phenomena at different scales, leading to scaling regimes with signatures of deterministic chaos at large scales and an apparently random behavior at small scales. These features are usually investigated quantitatively by studying the properties of the underlying attractor, the compact object asymptotically hosting the trajectories of the system with their invariant density in the phase space. This multi-scale nature of natural systems makes it practically impossible to get a clear picture of the attracting set.

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  • A 60-year-old man undergoing treatment for metastatic melanoma with Ipilimumab and Nivolumab developed severe eye issues, specifically bilateral peripheral ulcerative keratitis, which led to corneal perforation.
  • Initial symptoms included a foreign body sensation and tearing, but traditional anti-inflammatory treatments failed, necessitating further surgical interventions.
  • The case highlights how immune checkpoint inhibitors can disrupt corneal immunity, resulting in serious autoimmune complications in the eyes.
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Introduction: This study aimed to test and evaluate modified corneal cross-linking (CXL) protocols regarding improved treatment effects on the peripheral cornea in terms of tissue stability and cellular response.

Methods: Peripheral CXL (pCXL) was performed within a ring of 9-11 mm of 36 human donor corneas with variations in applied energy (5.4, 7.

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Correctly identifying interaction patterns from multivariate time series presents an important step in functional network construction. In this context, the widespread use of bivariate statistical association measures often results in a false identification of links because strong similarity between two time series can also emerge without the presence of a direct interaction due to intermediate mediators or common drivers. In order to properly distinguish such direct and indirect links for the special case of event-like data, we present here a new generalization of event coincidence analysis to a partial version thereof, which is aimed at excluding possible transitive effects of indirect couplings.

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  • The study investigates changes in the corneal epithelium and nerves in patients with refractory/relapsed multiple myeloma undergoing treatment with belantamab mafodotin (belamaf).
  • The research involved BCVA testing and corneal confocal microscopy to measure nerve fiber density and other metrics before and during treatment.
  • Results showed a significant deterioration in visual acuity and severe damage to corneal nerve structures, indicating neurotoxic effects of belamaf on the human cornea.
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Purpose: To describe a case of an immune-related adverse event associated with Atezolizumab therapy which was aggravated by ocular surgery.

Observations: A 59-year-old man treated with Atezolizumab for metastatic non-small-cell lung cancer developed a conjunctival hypertrophic lesion mistaken for metastatic tissue. Biopsy surgery induced fulminant and multifocal granulomatous conjunctival tissue growth and sterile corneal ulceration.

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In the past few decades, boreal summers have been characterized by an increasing number of extreme weather events in the Northern Hemisphere extratropics, including persistent heat waves, droughts and heavy rainfall events with significant social, economic, and environmental impacts. Many of these events have been associated with the presence of anomalous large-scale atmospheric circulation patterns, in particular, persistent blocking situations, i.e.

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Chronic wasting disease (CWD) is a fatal transmissible spongiform encephalopathy (TSE) of cervids caused by a misfolded variant of the normal cellular prion protein, and it is closely related to sheep scrapie. Variations in a host's prion gene, , and its primary protein structure dramatically affect susceptibility to specific prion disorders, and breeding for variants that prevent scrapie infection has led to steep declines in the disease in North American and European sheep. While resistant alleles have been identified in cervids, a variant that completely prevents CWD has not yet been identified.

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Population testing for severe acute respiratory syndrome coronavirus 2 is necessary because of the potential for viral transmission from asymptomatic cases, yet the scarcity of reagents and equipment has increased the cost-prohibitive implementation of screening campaigns at institutions of higher education. Significant analytical sensitivities of nucleic acid amplification methods permit sample pooling to increase testing capacity. Statistical models compared optimal testing configurations for pools of 3, 5, and 10 samples.

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Chronic wasting disease (CWD) is a progressive and fatal spongiform encephalopathy of deer and elk species, caused by a misfolded variant of the normal prion protein. Horizontal transmission of the misfolded CWD prion between animals is thought to occur through shedding in saliva and other forms of excreta. The role of blood in CWD transmission is less clear, though infectivity has been demonstrated in various blood fractions.

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Purpose: To evaluate the effects of femtosecond laser-assisted keratoplasty using a liquid patient interface (L-PI) as opposed to an applanated interface (A-PI) on graft quality and functionality markers.

Methods: Pressure measurements during femtosecond laser-assisted trephination were performed using two groups of 10 porcine eyes. Trephination was performed either in an L-PI or in an A-PI setting.

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Complex network approaches have been recently emerging as novel and complementary concepts of nonlinear time series analysis that are able to unveil many features that are hidden to more traditional analysis methods. In this work, we focus on one particular approach: the application of ordinal pattern transition networks for characterizing time series data. More specifically, we generalize a traditional statistical complexity measure (SCM) based on permutation entropy by explicitly disclosing heterogeneous frequencies of ordinal pattern transitions.

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Characterizing the multiscale nature of fluctuations from nonlinear and nonstationary time series is one of the most intensively studied contemporary problems in nonlinear sciences. In this work, we address this problem by combining two established concepts-empirical mode decomposition (EMD) and generalized fractal dimensions-into a unified analysis framework. Specifically, we demonstrate that the intrinsic mode functions derived by EMD can be used as a source of local (in terms of scales) information about the properties of the phase-space trajectory of the system under study, allowing us to derive multiscale measures when looking at the behavior of the generalized fractal dimensions at different scales.

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There is an increasing interest to study the interactions between atmospheric electrical parameters and living organisms at multiple scales. So far, relatively few studies have been published that focus on possible biological effects of atmospheric electric and magnetic fields. To foster future work in this area of multidisciplinary research, here we present a glossary of relevant terms.

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Coupling of the El Niño-Southern Oscillation (ENSO) and Indian monsoon (IM) is central to seasonal summer monsoon rainfall predictions over the Indian subcontinent, although a nonstationary relationship between the two nonlinear phenomena can limit seasonal predictability. Radiative effects of volcanic aerosols injected into the stratosphere during large volcanic eruptions (LVEs) tend to alter ENSO evolution; however, their impact on ENSO-IM coupling remains unclear. Here, we investigate how LVEs influence the nonlinear behavior of the ENSO and IM dynamical systems using historical data, 25 paleoclimate reconstructions, last-millennium climate simulations, large-ensemble targeted climate sensitivity experiments, and advanced analysis techniques.

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Artificial intelligence has recently made a disruptive impact in medical imaging by successfully automatizing expert-level diagnostic tasks. However, replicating human-made decisions may inherently be biased by the fallible and dogmatic nature of human experts, in addition to requiring prohibitive amounts of training data. In this paper, we introduce an unsupervised deep learning architecture particularly designed for OCT representations for unbiased, purely data-driven biomarker discovery.

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Servicemen are exposed to high levels of stress as part of their daily routine, however, studies which tested the relationship between stress and clinical symptoms reached inconsistent results. The present study examines the role of expressive flexibility, which was determined according to the ability to enhance or suppress either negative or positive emotional expression in conflictual situations, as a possible moderator between stress and Post-Traumatic Stress Disorder (PTSD) symptoms. A total of 82 active-duty firefighters (all men, age range = 25-66, M = 33.

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