bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perimyokarditis als Komplikation einer medikamentösen Mehrfachtherapie bei Colitis ulcerosa
Authors: Bauer Marcus , Baholli Loant , Uflacker Lutz , Rolffs Sven 
Published: August 2022

Zusammenfassung
Anamnese und klinischer Befund Stationäre Vorstellung eines 19-jähigen Patienten mit akutem Schub einer Colitis ulcerosa seit ungefähr 6 Wochen und Beschwerdeprogredienz seit anderthalb Wochen. Es bestand eine Therapie mit topischen und oralen 5-Aminosalicylsäure-(5-ASA)-Präparaten sowie eine orale Prednisolon-Gabe. Unter Intensivierung der Prednisolondosis Gabe eines monoklonalen Antikörpers (Vedolizumab) sowie antibiotische Therapie; stationäre Entlassung gegen ärztlichen Rat. Bei weiterhin erhöhten Infektparametern orale Gabe von Ciprofloxacin. Die 5-ASA-Gabe wurde fortgeführt. In den folgenden 2 Wochen rezidivierende Fieberschübe und erneute stationäre Aufnahme.
Untersuchungen und Diagnose Mikrobiologischer Nachweis von Acinetobacter ursingii in den Blutkulturen. Echokardiografischer Nachweis eines Perikard-Ergusses. Die transösophageale Echokardiografie ergab keinen Hinweis auf eine infektiöse Endokarditis. Serologischer Nachweis erhöhter Herz-Enzymwerte. Eine MRT-Untersuchung des Herzens bestätigte die Diagnose einer Perimyokarditis.
Therapie und Verlauf Intensivmedizinische Betreuung und Resistogramm-gerechte antibiotische Therapie mit Meropenem unter Beendigung der topischen und oralen 5-ASA-Gaben sowie Verzicht auf eine Fortführung der Integrin-Antagonisten-Therapie. Zudem Start einer leitliniengerechten Herzinsuffizienztherapie und Therapieumstellung auf einen Tumor-Nekrose-Faktor-alpha-Blocker. Unter dem akzelerierten Applikationsschema protrahierte Stabilisierung und Besserung des Allgemeinzustandes. Nach 2 Monaten Krankenhausaufenthalt Entlassung des Patienten in die ambulante Versorgung.
Diskussion Nach längerfristiger 5-ASA-Gabe ist das Auftreten einer Perimyokarditis möglich. Auch der Integrin-Antagonist als neue Therapie kommt ursächlich in Frage. Das therapeutische Management bei unklarer Beschwerdeursache richtet sich nach den Beschwerden und der wahrscheinlichsten Krankheitsursache. Bei Nichtansprechen der Therapie frühzeitige Re-Evaluationen durchführen.
Multiorgan Visceral Hemangiomas Presenting with Sequential Ruptures and Hemorrhage, Cardiac Thrombus, and Thromboembolic Phenomenon
Authors: Kumar Subhash , Gunjan Kamlesh , Priyadarshi Rajeev N. , Mahto Mala 
Published: August 2022

AbstractVascular anomalies can be seen in a disseminated or diffuse state to involve multiple superficial and deep sites. Large and diffuse lesions are known to induce a hemorrhagic tendency. The authors present, which they believe is the first case of multiorgan hemangiomas with rupture at multiple sites, along with hitherto unreported cardiac thrombus, with arterial and venous thromboembolic events, ultimately ending with the patient's demise.
De novo designed protein inhibitors of amyloid aggregation and seeding
Authors: Murray Kevin A. , Hu Carolyn J. , Griner Sarah L. , Pan Hope , Bowler Jeannette T. , Abskharon Romany , Rosenberg Gregory M. , Cheng Xinyi , Seidler Paul M. , Eisenberg David S. 
Published: August 2022

Neurodegenerative diseases are characterized by the pathologic accumulation of aggregated proteins. Known as amyloid, these fibrillar aggregates include proteins such as tau and amyloid-β (Aβ) in Alzheimer’s disease (AD) and alpha-synuclein (αSyn) in Parkinson’s disease (PD). The development and spread of amyloid fibrils within the brain correlates with disease onset and progression, and inhibiting amyloid formation is a possible route toward therapeutic development. Recent advances have enabled the determination of amyloid fibril structures to atomic-level resolution, improving the possibility of structure-based inhibitor design. In this work, we use these amyloid structures to design inhibitors that bind to the ends of fibrils, “capping” them so as to prevent further growth. Using de novo protein design, we develop a library of miniprotein inhibitors of 35 to 48 residues that target the amyloid structures of tau, Aβ, and αSyn. Biophysical characterization of top in silico designed inhibitors shows they form stable folds, have no sequence similarity to naturally occurring proteins, and specifically prevent the aggregation of their targeted amyloid-prone proteins in vitro. The inhibitors also prevent the seeded aggregation and toxicity of fibrils in cells. In vivo evaluation reveals their ability to reduce aggregation and rescue motor deficits in
Caenorhabditis elegans
models of PD and AD.
Lipid nanoparticle-mediated lymph node–targeting delivery of mRNA cancer vaccine elicits robust CD8
+
T cell response
Authors: Chen Jinjin , Ye Zhongfeng , Huang Changfeng , Qiu Min , Song Donghui , Li Yamin , Xu Qiaobing 
Published: August 2022

The targeted delivery of messenger RNA (mRNA) to desired organs remains a great challenge for in vivo applications of mRNA technology. For mRNA vaccines, the targeted delivery to the lymph node (LN) is predicted to reduce side effects and increase the immune response. In this study, we explored an endogenously LN-targeting lipid nanoparticle (LNP) without the modification of any active targeting ligands for developing an mRNA cancer vaccine. The LNP named 113-O12B showed increased and specific expression in the LN compared with LNP formulated with ALC-0315, a synthetic lipid used in the COVID-19 vaccine Comirnaty. The targeted delivery of mRNA to the LN increased the CD8
+
T cell response to the encoded full-length ovalbumin (OVA) model antigen. As a result, the protective and therapeutic effect of the OVA-encoding mRNA vaccine on the OVA-antigen–bearing B16F10 melanoma model was also improved. Moreover, 113-O12B encapsulated with TRP-2 peptide (TRP2
180–188
)–encoding mRNA also exhibited excellent tumor inhibition, with the complete response of 40% in the regular B16F10 tumor model when combined with anti–programmed death-1 (PD-1) therapy, revealing broad application of 113-O12B from protein to peptide antigens. All the treated mice showed long-term immune memory, hindering the occurrence of tumor metastatic nodules in the lung in the rechallenging experiments that followed. The enhanced antitumor efficacy of the LN-targeting LNP system shows great potential as a universal platform for the next generation of mRNA vaccines.
Development and validity of the subjective training quality scale
Authors: Shell Stephanie J. , Slattery Katie , Clark Brad , Broatch James R. , Halson Shona L. , Coutts Aaron J. 
Published: August 2022

ABSTRACTThis study aimed to define, develop, and validate a subjective scale of training quality. Two related studies were used to 1) define training quality and 2) develop and validate a subjective scale. Part One: a purposive sample of 15 sub‐elite (i.e. national) and elite (i.e. international) swimmers participated in one, 20–30‐min semi‐structured interview. Thematic analysis of interview responses established three constructs to define training quality. These were the physical, technical, and mental aspects of training. Part Two: development of the Subjective Training Quality (STQ) scale based on the three constructs identified in Part One. 252 sub‐elite and elite athletes, across eight sports completed the STQ scale. Cronbach's alpha (α) assessed internal consistency, histogram plot analysis assessed face validity, and confirmatory factor analysis (CFA) compared physical, technical, and mental constructs with training quality. Root mean square error of approximation (RMSEA) and standardised root mean square residual (SRMR) evaluated CFA quality of fit. Physical, technical, and mental constructs demonstrated a high “acceptable” level of internal consistency (α = 0.85) and excellent face validity. Comparatively, the CFA quality of fit was “excellent” (RMSEA = <0.01 “good”, SRMR = 0.00 “perfect”). The STQ scale demonstrated excellent internal consistency and face validity, establishing capacity to monitor training quality. The STQ scale could be used in conjunction with traditional training monitoring tools to provide additional insight into athlete's training quality. Further investigation is required to determine how the STQ scale may interact with subjective and objective training performance measures, and how it could be incorporated into daily training monitoring.
Acute effects of electrostimulation and blood flow restriction on muscle thickness and fatigue in the lower body
Authors: Santiago‐Pescador Salvador , Fajardo‐Blanco Daniel , López‐Ortiz Susana , Peñín‐Grandes Saúl , Méndez‐Sánchez Roberto , Lucia Alejandro , Martín‐Hernández Juan , Santos‐Lozano Alejandro 
Published: August 2022

ABSTRACTNeuromuscular electrical stimulation (NMES) in combination with blood flow restriction (BFR) enhances muscle hypertrophy and force‐generating capacity. The present study aimed to investigate the acute effects of BFR and NMES, both in isolation and in combination, on muscle thickness (MT) and fatigue in the lower body of 20 young healthy subjects. Different stimuli were applied for 25 min, defined by the combination of BFR with high‐ and low‐frequency NMES, and also isolated BFR or NMES. Changes in MT were then evaluated by ultrasound of the rectus femoris (RF) and vastus lateralis (VL) muscles at the end of the session (POST) and 15 min later (POST 15’). Lower limb fatigue was evaluated indirectly by strength performance. Results showed that RF MT was higher under the combined protocol (BFR + NMES) or isolated BFR than under NMES – regardless of the frequency – both at POST (p ≤ 0.018) and POST 15’ (p ≤ 0.016). No significant changes in MT were observed under isolated NMES or BFR at POST 15’ when compared with basal values (p ≥ 0.067). No significant differences were observed for VL MT between conditions (p = 0.322) or for fatigue between conditions (p ≥ 0.258). Our results indicate that a combination of BFR and NMES acutely increases MT in sedentary subjects. Also, although not significantly, BFR conditions had a greater tendency to induce fatigue than isolated NMES.
Enhanced heat transfer characteristics of the mini hexagonal tube heat sink using hybrid nanofluids
Authors: Sriharan G , Harikrishnan S , Ali Hafiz Muhammad 
Published: August 2022

AbstractThe thermal performance of different hybrid nanofluids on the mini hexagonal tube heat sink has been investigated experimentally. Al2O3/SiO2-DIW, Al2O3/CuO-DIW, and CuO/SiO2-DIW nanofluids have been used as the working fluids. The aggregate of 0.01 volume fraction of Al2O3, CuO, and SiO2nanoparticles for hybridizing ratios (80:20) has been considered to prepare deionized water-based hybrid nanofluids. The thermal performance of three different hybrid nanofluids inside the mini hexagonal tube heat sink has been assessed. The varying volumetric flow rates of 15–50 lph have been maintained on the hexagonal tube side and 50 lph on the mini passage side. Herein, the proposed hexagonal-shaped heat sink provides a larger heat contact surface to exchange the heat between the hybrid nanofluids and hot DIW. It is divulged that the increase in the volume flow rate of nanofluids promotes the higher Brownian motion, leading to an increase in convective heat transfer. Amongst three hybrid nanofluids, CuO/SiO2-DIW nanofluids have revealed a slight increase in pumping power while increasing the volume flow rate. From the experimental results, it is shown that the heat transfer coefficient, effectiveness, and Nusselt number have been improved by 54.5%, 42%, and 28.4%, respectively, for Al2O3/CuO-DIW nanofluids. Thus, Al2O3/CuO-DIW nanofluid can be deemed to be an efficient working fluid for the miniature heat sinks to accelerate the heat transfer rates.
Methods for estimating physical activity and energy expenditure using raw accelerometry data or novel analytical approaches: a repository, framework, and reporting guidelines
Authors: Clevenger Kimberly A , Montoye Alexander H K , Van Camp Cailyn A , Strath Scott J , Pfeiffer Karin A 
Published: August 2022

Abstract
The proliferation of approaches for analyzing accelerometer data using raw acceleration or novel analytic approaches like machine learning (‘novel methods’) outpaces their implementation in practice. This may be due to lack of accessibility, either because authors do not provide their developed models or because these models are difficult to find when included as supplementary material. Additionally, when access to a model is provided, authors may not include example data or instructions on how to use the model. This further hinders use by other researchers, particularly those who are not experts in statistics or writing computer code. Objective: We created a repository of novel methods of analyzing accelerometer data for the estimation of energy expenditure and/or physical activity intensity and a framework and reporting guidelines to guide future work. Approach: Methods were identified from a recent scoping review. Available code, models, sample data, and instructions were compiled or created. Main Results: Sixty-three methods are hosted in the repository, in preschoolers (n = 6), children/adolescents (n = 20), and adults (n = 42), using hip (n = 45), wrist (n = 25), thigh (n = 4), chest (n = 4), ankle (n = 6), other (n = 4), or a combination of monitor wear locations (n = 9). Fifteen models are implemented in R, while 48 are provided as cut-points, equations, or decision trees. Significance: The developed tools should facilitate the use and development of novel methods for analyzing accelerometer data, thus improving data harmonization and consistency across studies. Future advances may involve including models that authors did not link to the original published article or those which identify activity type.
Single Gaussian process method for arbitrary tokamak regimes with a statistical analysis
Authors: Leddy J , Madireddy S , Howell E , Kruger S 
Published: August 2022

Abstract
Gaussian process regression is a Bayesian method for inferring profiles based on input data. The technique is increasing in popularity in the fusion community due to its many advantages over traditional fitting techniques including intrinsic uncertainty quantification and robustness to over-fitting. This work investigates the use of a new method, the change-point method, for handling the varying length scales found in different tokamak regimes. The use of the Student’s t-distribution for the Bayesian likelihood probability is also investigated and shown to be advantageous in providing good fits in profiles with many outliers. To compare different methods, synthetic data generated from analytic profiles is used to create a database enabling a quantitative statistical comparison of which methods perform the best. Using a full Bayesian approach with the change-point method, Matérn kernel for the prior probability, and Student’s t-distribution for the likelihood is shown to give the best results.
Laser-induced quenching diagnostics of hydrogen atoms in fusion plasma
Authors: Gorbunov A , Mukhin E , Munoz Burgos J M , Krivoruchko D , Vukolov K , Kurskiev G , Tolstyakov S 
Published: August 2022

Abstract
Laser-induced quenching (LIQ) is a new diagnostic technique developed for hydrogen and hydrogen-like ions with degenerate excited states. The technique is proposed for use in the local measurements of hydrogen parameters (density, temperature, velocity distribution etc) in the scrape-off-layer and divertor plasmas of tokamaks and other fusion devises. The Hα
quenching effect was simulated via a dynamic collision-radiative model developed for the hydrogen atom. The model has also been applied to both analyze the performance of various spectroscopic schemes and to evaluate saturation effects and quenching signals. It is suggested that the LIQ technique could be use to measure hydrogen density as well as electron density from analysis of the quenching-to-fluorescence ratio. Experimental testing was performed in a glow discharge plasma with a pulsed wavelength-tunable OPO laser and in a Globus-M2 tokamak with a time-modulated 1875 nm fiber laser.
Vacuum ultraviolet radiation in and from an atmospheric pressure plasma source
Authors: Donkó Zoltán 
Published: August 2022

Abstract
This work presents a computational study of the atmospheric pressure plasma of the COST jet source in He + 0.1% N2 buffer gas, incorporating the treatment of the VUV resonant radiation from He atoms at a wavelength of 58.4 nm. The plasma is driven by single- and multi-frequency waveforms at various peak-to-peak voltages between 400 V and 685 V. The simulations, which include the photoemission of electrons from the electrodes as well as the photoionization of the N2 molecules indicate that these processes, induced by the VUV radiation, have relatively little influence on the discharge characteristics due to other more efficient charged particle production mechanisms, e.g., Penning ionization. While the plasma characteristics are computed along one spatial dimension perpendicular to the electrodes, the tracing of the VUV photons is executed in the real 3D geometry of the plasma source to allow the computation of the VUV photon flux leaving the device through the orifice. Photon fluxes up to

≈
5
×
1

0

15

cm−2 s−1, corresponding to an energy flux of ≈18 mW cm−2 are found at multi-frequency operation.
Simultaneous measurements of unstable and stable Alfvén eigenmodes in JET
Authors: Tinguely R.A. , Gonzalez-Martin J. , Puglia P.G. , Fil N. , Dowson S. , Porkolab M. , Kumar I. , Podestà M. , Baruzzo M. , Fasoli A. , Kazakov Ye.O. , Nave M.F.F. , Nocente M. , Ongena J. , Štancar Ž. , Contributors JET 
Published: August 2022

Abstract
In this paper, we report the novel experimental observation of both unstable and stable toroidicity-induced Alfvén eigenmodes (TAEs) measured simultaneously in a JET tokamak plasma. The three-ion-heating scheme (D-DNBI-3He) is employed to accelerate deuterons to MeV energies, thereby destabilizing TAEs with toroidal mode numbers n = 3–5, each decreasing in mode amplitude. At the same time, the Alfvén eigenmode active diagnostic resonantly excites a stable n = 6 TAE with total normalized damping rate −γ/ω
0 ≈ 1%–4%. Hybrid kinetic-MHD modeling with codes NOVA-K and MEGA both find eigenmodes with similar frequencies, mode structures, and radial locations as in experiment. NOVA-K demonstrates good agreement with the n = 3, 4, and 6 TAEs, matching the damping rate of the n = 6 mode within uncertainties and identifying radiative damping as the dominant contribution. Improved agreement is found with MEGA for all modes: the unstable n = 3–5 and stable n = 2, 6 modes, with the latter two stabilized by higher intrinsic damping and lower fast ion drive, respectively. While some discrepancies remain to be resolved, this unique validation effort gives us confidence in TAE stability predictions for future fusion devices.
A mid-troposphere perspective on the East African climate paradox
Authors: Mölg Thomas , Pickler Carolyne 
Published: August 2022

Abstract
The East African climate paradox—a term framing the observed precipitation decline in the March–May (MAM) wet season of East Africa from roughly 1980–2010, yet an increase in future climates simulated by global climate models (GCMs)—mostly relies on data representing sea level. Here we add a mid-troposphere perspective by combining in-situ meteorological measurements at ∼6000 m a.s.l. from Africa’s highest mountain summit and a carefully selected subset of GCMs through a machine-learning link. Temporal trends of the resultant six weather types do support a drier mountain climate in the recent past and a moister one in the course of the 21st century, and a key to understanding these contrasting trends materializes from the new dominance of changes in weather type frequency in the future climate. Importantly, however, the results also suggest that the trend reversal requires a strong external climate forcing. Hence, the forcing strength should be considered more systematically in forthcoming studies, to challenge the question whether equatorial East Africa’s MAM climate will indeed become wetter in all plausible future scenarios.
Roles of dam and climate change in thermal regime alteration of a large river
Authors: Xiao Zijun , Sun Jian , Yuan Bing , Lin Binliang , Zhang Xiaofeng 
Published: August 2022

Abstract
Water temperature in the Yangtze River mainstream has been experiencing significant changes due to the climate change and the operation of a series of world-class large dams, i.e. the Three Gorges Dam (TGD) and upstream cascade dams (CDs). However, quantitative effects of these factors are not fully known, which hinders our understanding on the thermal regime alterations and further prediction in ecosystem response. Here, we will simulate the riverine water temperature (RWT) variations by building a physics-based model, and quantify the respective impacts from TGD, CDs and climate change through a model-based framework. In the framework, both the dam-regulated hydro-thermodynamic processes and the spatial heterogeneity of the meteorological condition in this large river-reservoir system are thoroughly considered. The results show a fluvial warming of 0.31 °C–0.56 °C/10a in recent three decades, mainly attributed to climate change (44%–80% for different reaches). The dam has caused a substantial seasonal thermal lag, e.g. ∼40 d near the TGD in the dry season, and accompanying severe alterations in the monthly RWT. A reduction of 10% in seasonal RWT range is identified, which is attributed to both dam and climate change.
A 3D printed pulmonary mock loop for hemodynamic studies in congenital heart disease
Authors: Conijn M , Wintermans L M , Metselaar R , Ruisch J , Bax E A , van Egmond C A W , Nieuwenstein B , Warmerdam E G , Krings G J 
Published: August 2022

Abstract

Background. With the increasing survival of the congenital heart disease population, there is a growing need for in-depth understanding of blood circulation in these patients. Mock loops provide the opportunity for comprehensive hemodynamic studies without burden and risks for patients. This study aimed to evaluate the ability of the presented mock loop to mimic the hemodynamics of the pulmonary circulation with and without stenosis and the MR compatibility of the system. Methods. A pulsatile pump with two chambers, separated by a flexible membrane, was designed and 3D printed. A cough assist device applied an alternating positive and negative pressure on the membrane. One adult, and three pediatric pulmonary bifurcations were 3D printed and incorporated in the setup. Two pediatric models had a 50% stenosis of the left branch. Bilateral compliance chambers allowed for individual compliance tuning. A reservoir determined the diastolic pressure. Two carbon heart valves guaranteed unidirectional flow. The positive pressure on the cough assist device was tuned until an adequate stroke volume was reached with a frequency of 60 bpm. Flow and pressure measurements were performed on the main pulmonary artery and the two branches. The MR compatibility of the setup was evaluated. Results. A stroke volume with a cardiac index of 2 l min−1 m−2 was achieved in all models. Physiological pressure curves were generated in both normal and stenotic models. The mock loop was MR compatible. Conclusion. This MR compatible mock loop, closely resembles the pulmonary circulation thereby providing a controllable environment for hemodynamic studies.