gebhart/patrepeval huggingface dataset:
Combining atrial activation maps for the big picture of simulated atrial fibrillation mechanisms (2023)

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – EU funding. Main funding source(s): This work was supported by PersonalizeAF project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860974. Background Pulmonary vein isolation (PVI) alone is not sufficient for all persistent atrial fibrillation (AF) patients. Ablation of localized AF drivers might be a promising adjunctive ablation strategy but detecting such drivers is limited by the small field of view of current mapping catheters. Purpose We propose a technique to detect localized AF drivers that combines sequential mapping of repetitive activation patterns into a larger composite map. The performance of this technique was evaluated in several simulated scenarios of known mechanisms during AF. Methods Representative repetitive conduction patterns that may occur in AF were simulated in a detailed volumetric 3D model of the atria: a large peripheral wave, stable and meandering re-entries, and single and multiple ectopic foci. Endocardial electrograms were sequentially generated from overlapping regions in the left posterior wall (4x4 grid, 3mm spacing, 0.5-1.5 seconds), and repetitive activation patterns were detected. Overlapping areas between sequential maps were used to align the repetitive patterns. Local patterns were then combined into larger composite maps (Fig. 1A). Reconstruction performance was quantified by the average local activation time (LAT) difference between original and reconstructed activation patterns. The relation between electrode overlaps and the quality of reconstructions were assessed at different degrees of spatial overlap (approximately 10% to 25% of the grid area, corresponding to 1.6 ± 0.6 and 4.1 ± 1.2 overlapping electrodes, respectively). Results All simulated patterns could be reconstructed from sequential recordings (Fig. 1B). LAT errors in recordings with 25% overlap were low in all cases: 5±2 msec for the peripheral wave, 5±2 and 3±1 msec for focal and multifocal activities and 6±2 and 11±2 &amp; 17±3 msec for stable, meandering and highly meandering re-entries respectively (Fig. 2). Composite maps of meandering and highly meandering re-entries presented significantly higher reconstruction errors than other more stable patterns (p&amp;lt;0.01). Reducing spatial overlap to 10% did not significantly increase the errors, except for the highly meandering re-entrant activity (p&amp;lt;0.05). Conclusion We developed a novel methodology to combine high-density sequential recordings with limited coverage into larger composite activation maps. Using this method, we reconstructed highly accurate activation maps for multiple simulated AF mechanism scenarios. Results were promising even with a small overlap between sequential recording sites and relatively unstable patterns, providing a proof of principle to apply this approach in clinical recordings of human AF.
Neurosurgical Training With a Novel Cervical Spine Simulator (2013)

The posterior cervical decompression simulation model appears to be a valuable tool in educating neurosurgery residents in the aspects of this procedure. The combination of a didactic and technical assessment is a useful teaching strategy in terms of educational development.
Single-photon path entanglement based on integrated silicon photonics (2023)

A silicon photonic platform with high-speed single-photon entanglement generation and detection is demonstrated using decoy state source and homodyne detection. A CHSH Bell violation test is performed on-chip, showing a violation lower bound of 2.59.
Microstructure and plasma corrosion behavior of yttria coatings prepared by the aerosol deposition method (2020)

Abstract Particle contamination arising from inner ceramic components of the plasma etching equipment has become a serious issue. Yttria (Y 2 O 3 ) coatings prepared via aerosol deposition (AD) have demonstrated superior plasma resistance in the reduction of particle contamination. The superior particle contamination performance of Y 2 O 3 coatings prepared by AD has been speculatively attributed to its unique microstructure; however, the relationship between the coatings’ microstructure and plasma corrosion behavior has been insufficiently clarified. Herein, we investigated the relationship between the microstructure and plasma corrosion behavior of Y 2 O 3 coatings prepared by the AD method and compared the results with those for coatings prepared by other coating methods. When internal pores are present, these internal pores were selectively plasma corroded; plasma corrosion marks reflecting their pore shape were formed, and the surface roughness increased with increasing plasma exposure time. However, when no internal pores were present, as in the case of the AD coating, the surfaces were homogeneously corroded and maintained their initial surface. As the risk of particle contamination caused by the corrosion of the plasma‐resistant coatings is greatly increased with surface roughness, we concluded that the Y 2 O 3 coating prepared via AD will contribute greatly to reducing particle contamination.
Experimental evaluation of coherent adaptive antenna array diversity receiver employing optical fiber interface in IF stage (2003)

Based on laboratory experiments, the paper investigates the multiuser interference suppression effect of the coherent adaptive antenna array diversity (CAAAD) receiver. An optical fiber feeder is employed in the intermediate frequency (IF) stage of a base transceiver station (BTS), aiming at the practical use of adaptive antenna array beamforming techniques in the W-CDMA air interface. We employ a configuration in which the optical fiber conversion, i.e., electrical-to-optical (E/O) or O/E conversion, is performed on a received signal amplified by an automatic gain control (AGC) amplifier in the IF stage in order to abate the impact of the noise component generated by the E/O (O/E) converters. We first show by computer simulation the superiority of the optical fiber conversion in the IF stage to that in the radio frequency (RF) stage from the viewpoint of reducing the bit error rate (BER) performance. Furthermore, experimental results elucidate that the loss in the required transmit signal energy per bit-to-background noise power spectrum density ratio (E/sub b//N/sub 0/) of the implemented CAAAD receiver at the average BER of 10/sup -3/ employing the optical fiber feeders in the IF stage compared to that with coaxial cables is within a mere 0.2 dB for conditions of 6 antennas, 3 users, 2-path Rayleigh fading channel model, and the ratio of the target signal energy per bit-to-interference power spectrum density ratio (E/sub b//I/sub 0/) of the desired user to that of the interfering users for fast transmission power control is /spl Delta/E/sub b//I/sub 0/ = -15 dB.
Riboflavin depletion promotes longevity and metabolic hormesis in Caenorhabditis elegans (2022)

Riboflavin is an essential cofactor in many enzymatic processes and in the production of flavin adenine dinucleotide (FAD). Here, we report that the partial depletion of riboflavin through knockdown of the C. elegans riboflavin transporter 1 (rft-1) promotes metabolic health by reducing intracellular flavin concentrations. Knockdown of rft-1 significantly increases lifespan in a manner dependent upon AMP-activated protein kinase (AMPK)/aak-2, the mitochondrial unfolded protein response, and FOXO/daf-16. Riboflavin depletion promotes altered energetic and redox states and increases adiposity, independent of lifespan genetic dependencies. Riboflavin-depleted animals also exhibit the activation of caloric restriction reporters without any reduction in caloric intake. Our findings indicate that riboflavin depletion activates an integrated hormetic response that promotes lifespan and healthspan in C. elegans.
CuO-Fe2O3 Nanoparticles Supported on SiO2 and Al2O3 for Selective Hydrogenation of 2-Methyl-3-Butyn-2-ol (2021)

In this study, novel SiO2- and Al2O3-supported Cu-Fe catalysts are developed for selective hydrogenation of 2-methyl-3-butyne-2-ol to 2-methyl-3-butene-2-ol under mild reaction conditions. TEM, XRD, and FTIR studies of adsorbed CO and TPR-H2 are performed to characterize the morphology, nanoparticle size, and particle distribution, as well as electronic state of deposited metals in the prepared catalysts. The deposition of Fe and Cu metal particles on the aluminum oxide carrier results in the formation of a mixed oxide phase with a strong interaction between the Fe and Cu precursors during the calcination. The highly dispersed nanoparticles of Fe2O3 and partially reduced CuOx, with an average size of 3.5 nm and with strong contact interactions between the metals in 5Cu-5Fe/Al2O3 catalysts, provide a high selectivity of 93% toward 2-methyl-3-butene-2-ol at complete conversion of the unsaturated alcohol.
Tyrosine-Nitrated Proteins: Proteomic and Bioanalytical Aspects (2016)

The use of (i) classical two-dimensional electrophoresis with immunochemical detection of nitrated proteins followed by protein ID by regular MS/MS in combination with (ii) immuno-enrichment of tyrosine-nitrated peptides and (iii) identification of nitrated peptides by a MIDAS™ experiment is arising as a potent methodology to unambiguously map and quantitate tyrosine-nitrated proteins in vivo. Antioxid. Redox Signal. 26, 313-328.
High-throughput screening of high protein producer budding yeast using gel microdrop technology (2019)

Abstract The need for protein production has been growing over the years in various industries. We here present a high-throughput screening strategy to isolate high producer budding yeast clones from a mutagenized cell population using gel microdrop (GMD) technology. We use a microfluidic water-in-oil (W/O) emulsion method to produce monodisperse GMDs and a microfluidic cell sorter for damage-free sorting of GMDs by fluorescently quantifying secreted proteins. As a result, this high-throughput GMD screening method effectively selects high producer clones and improves protein production up to five-fold. We speculate that this screening strategy can be applied, in principle, to select any types of high producer cells (bacterial, fungal, mammalian, etc.) which produce arbitrary target protein as it does not depend on enzymes to be produced.
Individualized Gaussian Process-based Prediction of Memory Performance and Biomarker Status in Ageing and Alzheimer’s disease (2022)

Abstract Neuroimaging markers based on Magnetic Resonance Imaging (MRI) combined with various other measures (such as informative covariates, vascular risks, brain activity, neuropsychological test etc.,) might provide useful predictions of clinical outcomes during progression towards Alzheimer’s disease (AD). The Bayesian approach aims to provide a trade-off by employing relevant features combinations to build decision support systems in clinical settings where uncertainties are relevant. We tested the approach in the MRI data across 959 subjects, aged 59-89 years and 453 subjects with available neuropsychological test scores and CSF biomarker status (amyloid-beta ( Aβ )42/40 &amp; and phosphorylated tau (pTau)) from a large sample multi-centric observational cohort (DELCODE). In order to explore the beneficial combinations of information from different sources, we presented a MRI-based predictive modelling of memory performance and CSF biomarker status (positive or negative) in the healthy ageing group as well as subjects at risk of Alzheimer’s disease using a Gaussian process multikernel framework. Furthermore, we systematically evaluated predictive combinations of input feature sets and their model variations, i.e. (A) combinations of brain tissue classes and feature type (modulated vs. unmodulated), choices of filter size of smoothing (ranging from 0 to 15 mm full width at half maximum), and image resolution (1mm, 2mm, 4mm and 8mm); (B) incorporating demography and covariates (C) the impact of the size of the training data set (i.e., number of subjects); (D) the influence of reducing the dimensions of data and (E) choice of kernel types. Finally, the approach was tested to reveal individual cognitive scores at follow-up (up to 4 years) using the baseline features. The highest accuracy for memory performance prediction was obtained for a combination of neuroimaging markers, demographics, genetic information (ApoE4) and CSF-biomarkers explaining 57% of outcome variance in out of sample predictions. The best accuracy for Aβ 42 / 40 status classification was achieved for combination demographics, ApoE4 and memory score while usage of structural MRI improved the classification of individual patient’s pTau status.
P329G-CAR-J: a novel Jurkat-NFAT-based CAR-T reporter system recognizing the P329G Fc mutation (2019)

Monoclonal antibody-based therapeutics are an integral part of treatment of different human diseases, and the selection of suitable antibody candidates during the discovery phase is essential. Here, we describe a novel, cellular screening approach for the identification and characterization of therapeutic antibodies suitable for conversion into T cell bispecific antibodies using chimeric antigen receptor (CAR) transduced Jurkat-NFAT-luciferase reporter cells (CAR-J). For that purpose, we equipped a Jurkat-NFAT reporter cell line with a universal CAR, based on a monoclonal antibody recognizing the P329G mutation in the Fc-part of effector-silenced human IgG1-antibodies. In addition to scFv-based second generation CARs, Fab-based CARs employing the P329G-binder were generated. Using these anti-P329G-CAR-J cells together with the respective P329G-mutated IgG1-antibodies, we established a system, which facilitates the rapid testing of therapeutic antibody candidates in a flexible, high throughput setting during early stage discovery. We show that both, scFv- and Fab-based anti-P329G-CAR-J cells elicit a robust and dose-dependent luciferase signal if the respective antibody acts as an adaptor between tumor target and P329G-CAR-J cells. Importantly, we could demonstrate that functional characteristics of the antibody candidates, derived from the anti-P329G-CAR-J screening assay, are predictive for the functionality of these antibodies in the T cell bispecific antibody format.
Semi‐automatic delineation using weighted CT‐MRI registered images for radiotherapy of nasopharyngeal cancer (2011)

The authors developed a user-driven tool for delineation and correction based a snake algorithm and registered weighted CT image and MRI. The algorithm adds morphological information from CT during the delineation on MRI and accelerates the delineation task.
Assessment and Analysis of Disaster Risk for Steep Slope using Drone and Terrestrial LiDAR (2020)

최근 기후변화로 인한 이상기후로 인해 홍수, 산사태, 토사 유출과 같은 자연재난의 피해가 급증하고 있다. 우리나라는 국토의 63% 이상이 산지라는 지형적 특성 때문에 사면 재해에 매우 취약해 여름철 집중호우로 많은 피해가 발생하고 있다. 본 논문은 드론맵핑과 지상 light detection and ranging(LiDAR) 측량을 활용한 급경사지 위험성 현장조사·평가 적용성에 관한 연구로서 이를 위해 소형 상업드론으로 대상 사면과 주변의 드론 영상을 취득하고 지상기준점 측량을 수행한 후 드론맵핑을 수행하였다. 또한, 급경사지 크랙 길이, 기반암 풍화상태 등 상세한 지질특성 자료 수집과 정량적인 위험도 정도를 판단하기 위하여 대상 사면을 대상으로 지상 LiDAR 측량을 병행하였다. 결론적으로 드론맵핑과 지상 LiDAR 측량성과를 활용하여 간이식 계측장비와 육안 현장조사에 의존하던 기존 방식에 비해 정량적이고 종합적으로 급경사지 재해위험성을 평가하는 개선방안을 제시하였다.
Nickel-catalyzed coupling reactions of alkenes (2008)

Several reactions of simple, unactivated alkenes with electrophiles under nickel(0) catalysis are discussed. The coupling of olefins with aldehydes and silyl triflates provides allylic or homoallylic alcohol derivatives, depending on the supporting ligands and, to a lesser extent, the substrates employed. Reaction of alkenes with isocyanates yields N-alkyl acrylamides. In these methods, alkenes act as the functional equivalents of alkenyl- and allylmetal reagents.
Preparative-scale HPLC Resolution of Metallacyclic η3-Allyltricarbonyliron Complexes and Determination of the Absolute Configuration by X-Ray Crystal Structure Analysis (1999)

Racemates of (η3-allyl)tricarbonyliron lactone complex Fe(CO)3{η1:η3-C(O)XCH2CHCMeCH2} 1a (X=O) and (η3-allyl)tricarbonyliron lactam complex 2a (X=NMe) are resolved on a preparative scale by HPLC on cellulose tris(3,5-dimethylphenyl)carbamate/silica gel RP-8 and the absolute configuration of (–)-2a is determined by X-ray crystal structure analysis.
Childhood antibiotics as a risk factor for Crohn's disease: The ENIGMA International Cohort Study (2022)

Use of antibiotics <18 years was a risk factor for CD development. Attention should be paid to identifying modifiable environmental risk factors in early childhood, especially in at-risk families.
Microbial Transformations of the Antimelanoma Agent Betulinic Acid (2000)

Microbial transformation studies of the antimelanoma agent betulinic acid (1) were conducted. Screening experiments showed a number of microorganisms capable of biotransforming 1. Three of these cultures, Bacillus megaterium ATCC 14581, Cunninghamella elegans ATCC 9244, and Mucor mucedo UI-4605, were selected for preparative scale transformation. Bioconversion of 1 with resting-cell suspensions of phenobarbital-induced B. megaterium ATCC 14581 resulted in the production of the known betulonic acid (2) and two new metabolites: 3beta,7beta-dihydroxy-lup-20(29)-en-28-oic acid (3) and 3beta,6alpha, 7beta-trihydroxy-lup-20(29)-en-28-oic acid (4). Biotransformation of 1 with growing cultures of C. elegans ATCC 9244 produced one new metabolite characterized as 1beta,3beta, 7beta-trihydroxy-lup-20(29)-en-28-oic acid (5). Incubation of 1 with growing cultures of M. mucedo UI-4605 afforded metabolite 3. Structure elucidation of all metabolites was based on NMR and HRMS analyses. In addition, the antimelanoma activity of metabolites 2-5 was evaluated against two human melanoma cell lines, Mel-1 (lymph node) and Mel-2 (pleural fluid).
A Unified Region-Based Template Matching Approach for Intra and Inter Prediction in VVC (2019)

Template matching is a texture synthesis method which has found applications in video coding. However, the increased decoder complexity from its underlying search algorithm makes it less suitable for practical applications. In our previous paper, we presented region-based template matching where the decoder complexity is considerably reduced. This publication describes further improvements of the aforementioned tool for intra prediction and decoder side motion vector derivation. When applied together, it achieves an average coding gain of -1.04% with 107% decoder run-time for all intra and -1.60% with 113% decoder run-time for random access configurations respectively. The proposed method needs considerably fewer computations and memory requirements compared to the previous version of the algorithm.
A system architecture for managing mobile streaming media services (2004)

A mobile streaming media content delivery network (MSM-CDN) overlay system provides a scalable method for delivering media streams to a large number of clients. With the availability of such a streaming infrastructure, it becomes possible to implement enhanced media services. For example, the wide range and variability of network conditions, as well as processing and display capabilities of these devices will effectively require media streams to be adapted in the network. Each streaming session needs to be tailored to these changing environments in a practical and scalable manner. Media transcoding services can be performed by the servers of the MSM-CDN overlay, providing this flexibility. Due to the computational and bandwidth requirements of real-time video transcoding, these services require management of the placement of these tasks on the most appropriate servers, to make best use of the distributed resources available within the network. In this paper we address the media service assignment problem using the notion of service-location management (SLM). An effective load balancing system requires appropriate resource monitoring. We propose alternate SLM resource monitoring schemes. Using media transcoding as a representative service, we compare the performance of these schemes on an MSM-CDN testbed. We present our conclusions on which of these alternate implementations is both most reliable and most extensible to serve a large numbers of mobile client requests.
Analysis of Bifurcation Behavior of a Piecewise Linear Vibrator with Electromagnetic Coupling for Energy Harvesting Applications (2014)

Recently, nonlinearities have been shown to play an important role in increasing the extracted energy of vibration-based energy harvesting systems. In this paper, we study the dynamical behavior of a piecewise linear (PWL) spring-mass-damper system for vibration-based energy harvesting applications. First, we present a continuous time single degree of freedom PWL dynamical model of the system. Different configurations of the PWL model and their corresponding state-space regions are derived. Then, from this PWL model, extensive numerical simulations are carried out by computing time-domain waveforms, state-space trajectories and frequency responses under a deterministic harmonic excitation for different sets of system parameter values. Stability analysis is performed using Floquet theory combined with Filippov method, Poincaré map modeling and finite difference method (FDM). The Floquet multipliers are calculated using these three approaches and a good concordance is obtained among them. The performance of the system in terms of the harvested energy is studied by considering both purely harmonic excitation and a noisy vibrational source. A frequency-domain analysis shows that the harvested energy could be larger at low frequencies as compared to an equivalent linear system, in particular, for relatively low excitation intensities. This could be an advantage for potential use of this system in low frequency ambient vibrational-based energy harvesting applications.
Influence of the method of mixing on homogeneity and crystallization kinetics of blends of linear and branched polyethylene (2004)

Abstract The influence of mixing method—solution and melt mixing—on the homogeneity and crystallization kinetics of a series of blends of single‐site materials of linear polyethylene and ethyl‐branched polyethylene was studied by differential scanning calorimetry. Data obtained for heats of melting and crystallization, melting and crystallization peak temperatures, and melting and crystallization temperature profiles were essentially the same for the samples obtained by the two mixing methods. The results obtained can be interpreted as indicating that melt mixing is capable of producing homogeneous melts of these relatively low molar mass polymers, given that solution mixing is considered to give perfectly homogeneous blends. The heat associated with the high temperature melting peak after crystallization at 125°C of the blend samples, obtained by the two preparation methods, was higher than that of the linear polyethylene included in the blends, suggesting that a part of the branched polyethylene crystallized at 125°C. The unblended branched polyethylene showed no crystallization at 125°C. Samples obtained by powder mixing showed independent crystallization and melting of the linear and branched polyethylene components. © 2004 Wiley Periodicals, Inc. J Appl Polym Sci 94: 1730–1736, 2004