gebhart/patrepeval huggingface dataset:
Performance of Quantitative, Free-breathing 3D Perfusion CMR using Motion-Informed LLR Reconstruction in a Porcine Infarction Model (2023)

Three-dimensional first-pass myocardial perfusion CMR requires acceleration methods to enable whole-heart coverage in a limited acquisition window. Current 3D approaches suffer from data inconsistencies during free breathing, compromising image quality and perfusion quantification. We propose and experimentally validate a combination of Cartesian pseudo-spiral k-t undersampling with respiratory motion-informed locally low-rank (MI-LLR) reconstruction for robust whole-heart myocardial quantitative perfusion CMR in an experimental pig model of myocardial infarction. As reference, standard 2D acquisitions are used. Overall, image quality scoring was good. Perfusion defects were equally well depicted and discernible in imaging and MBF perfusion mapping in 3D and 2D approaches, respectively.
Synthesis of Hexahydro-1H-benzo[c]chromen-1-amines via the Intramolecular Ring-Opening Reactions of Aziridines by π-Nucleophiles (2008)

The intramolecular cyclization of aziridines with π-nucleophiles can be a useful route to a number of heterocyclic and carbocyclic systems. This methodology has been applied to the synthesis of hexahydro-1H-benzo[c]chromen-1-amines, the basic skeleton of many amaryllidaceae alkaloids. The success of the aziridine cyclization is largely dependent on the N-substitution of aziridine, with activated aziridines not undergoing the cyclization reaction. Only N-H-, N-alkyl- and N-arylaziridines underwent the cyclization reaction. The ring opening of an unactivated aziridines with a π-nucleophile is one of the first examples of such a reaction.
Digital thermal monitoring (DTM) of vascular reactivity closely correlates with doppler flow velocity (2009)

The noninvasive measurement of peripheral vascular reactivity, as an indicator of vascular function, provides a valuable tool for cardiovascular screening of at-risk populations. Practical and economical considerations demand that such a test be low-cost and simple to use. To this end, it is advantageous to substitute digital thermal monitoring (DTM) for the more costly and complex Doppler system commonly used for this measurement. A signal processing model was developed to establish the basis for the relationship between finger temperature reactivity and blood flow reactivity following a transient brachial artery occlusion and reperfusion protocol (reactive hyperemia). Flow velocity signals were acquired from the radial artery of human subjects via an 8 MHz Doppler probe while simultaneous DTM signals were acquired from a distal fingertip via DTM sensors. The model transforms the DTM temperature signals into normalized flow signals via a deconvolution method which employs an exponential impulse function. The DTM normalized flow signals were compared to simultaneous, low-frequency, normalized flow signals computed from Doppler sensors. The normalized flow signals, derived from DTM and Doppler sensors, were found to yield similar reactivity responses during reperfusion. The reactivity areas derived from DTM and Doppler sensors, indicative of hyperemic volumes, were found to be within +/- 15%. In conclusion, this signal processing model provides a means to measure vascular reactivity using DTM sensors, that is equivalent to that obtained by more complex Doppler systems.
Video Compression and Noise Reduction Using Transform/Subband Coding and Adaptive Amplitude Modulation (1992)

This article presents the basic ideas behind transform and subband representations of a signal. Although transform and subband representations appear to be different, in fact, they are equivalent. This theoretical relationship gives useful insights into the design of video processing and compression systems. An application of this result to the design of an adaptive amplitude modulation/demodulation (AM/DM) system for noise reduction of images is described. Also discussed is the AM noise-reduction technique for additive noise, and a method is presented to reduce the AM side information by exploiting the transform representation of an image.
Roles of pathways in self-access centres (1997)

This article discusses some possible roles for self-access pathways, particularly in cultures which have no tradition of self-study. It suggests how pathways might influence the design and running of self-access centres, and gives an illustration of how pathways were designed and employed in a centre in China. Feedback is based on a mini-survey distributed to thirty users.
ChemInform Abstract: SYNTHESIS AND PHARMACOLOGICAL EVALUATION OF A SERIES OF ANALOGS OF 1‐METHYLISOGUANOSINE (1982)

Abstract Gemäß Formelschema werden einige Analoga des natürlichen, aus dem Meeresschwamm Tedania digitata stammenden Purinnucleosids (IIe) dargestellt.
Tyrosine‐Rich Peptide Insulator for Rapidly Dissolving Transient Electronics (2020)

Abstract Transient electronics is a good platform for human implantable biomedical devices for diagnosing diseases and delivering therapeutic materials because additional surgery is not required to retrieve the device. Surrounding bio‐fluids inevitably dissolve device components, and the remaining electronic debris can trigger hazardous inflammation reactions within human body. Therefore, it is important to reduce the total dissolution time of devices even after they stop working. Thus, fast‐dissolving tyrosine‐based peptides are suggested as an insulator instead of SiO 2 , which has been used as a dissolution retarder in transient electronics. By combining a peptide insulator, zinc oxide semiconductor, and tungsten conductor, a biocompatible and biodegradable thin film transistor is fabricated. The device exhibits moderate performance (ON/OFF &gt;10 3 and field‐effect mobility of ≈0.6 cm 2 V −1 s −1 ) and is fast‐dissolving (&lt;3 h) in bio‐fluids.
Dose-range analysis of the effects of the long-acting parathyroid hormone analog AZP-3601 versus PTH(1-34) delivered by daily injection or continuous infusion on blood calcium levels and bone metabolism in thyroparathyroidectomized (TPTX) rats (2022)

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
Tapping-mode force spectroscopy using cantilevers with interferometric high-bandwidth force sensors (2012)

We quantitatively map the surface forces and elastic modulus in tapping-mode atomic force microscopy (AFM). To achieve this, we use custom-built cantilevers with interferometric high-bandwidth force sensors that can resolve nonlinear tip-sample interaction forces, combined with a set of algorithms to process the force sensor signals in real-time. Our technique achieves quantitative mechanical measurements, while retaining nanoscale spatial resolution and minimal loading forces in tapping-mode AFM. Moreover, conventional tapping-mode AFM images are not affected and can simultaneously be acquired. As a practical demonstration, we use our technique to quantify the mechanical properties of a polystyrene and linear low-density polyethylene blend.
Building Conflict-Free FFT Schedules (2015)

A conflict-free schedule lets an FFT run to completion without ever having to pause for memory-conflict resolution. We show how to build such schedules for FFTs having any number of butterfly units B operating at any radix R, transforming any number of datapoints D. Our algorithm works for FFT datapaths with or without pipeline overlap, and for memory banks having any number of access ports. Specifically, it enables construction of conflict-free schedules using single-ported memory banks, which require less area than more traditional multi-ported designs.
Direct Prediction of 3D Body Poses from Motion Compensated Sequences (2016)

We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Previous approaches typically compute candidate poses in individual frames and then link them in a post-processing step to resolve ambiguities. By contrast, we directly regress from a spatio-temporal volume of bounding boxes to a 3D pose in the central frame. We further show that, for this approach to achieve its full potential, it is essential to compensate for the motion in consecutive frames so that the subject remains centered. This then allows us to effectively overcome ambiguities and improve upon the state-of-the-art by a large margin on the Human3.6m, HumanEva, and KTH Multiview Football 3D human pose estimation benchmarks.
Minimally Invasive Direct Coronary Artery Bypass (2017)

After experiencing chest pressure while exercising, a 72-year-old patient tested positive in both a stress test and nuclear medicine study, triggering a left heart catheterization that revealed a high grade lesion of the proximal left anterior descending coronary artery. His cardiologist determined the lesion would not be amenable to angioplasty or stenting, so Dr. Marco Zenati performs a minimally invasive coronary artery bypass (MIDCAB).
Ultra-high pressure sensor with autofrettaged cylinder structure (2013)

An ultra-high pressure sensor based on autofrettage technology and piezoresistive effect is developed to remove the residual stress in packaging and to ensure a high sensitive output in pressure measurement with a large range.The elastic element is made of high strength spring steel with cylinder structure,and the sensitive element is silicon flat chip with an inverted cup structure.When the pressure is applied to the metal elastic element,the axial deformation of the metal elastic element is occurred and passed to the chip via a pass rod,then the chip's resistive signal is proportional to the axial deformation based on the piezoresistive effect.The pressure measurement is accomplished by measuring the resistive signal.In the study of working ability of the elastic element,the load bearing strength of the elastic element is researched by combining the theory and simulation,and the autofrettage technology is used to improve the loading ability of the elastic element.Finally,the static performance experiments in 250MPa and 1 000MPa ranges are carried out for a packaged sensor respectively.The experiments show that the comprehensive accuracy of the sensor is 2.3%,the linearity is 0.7%in 250MPa and 0.52%in 1 000MPa.The simulative and experimental results both indicate that the metal elastic element with autofrettaged cylinder structure is able to endure ultra-high pressure beyond 1 000MPa,and the developed sensor can meet the measuring demand of the contemporary industry.
Unnatural Amino Acid Mutagenesis of Fluorescent Proteins (2012)

Tyrosin 66 eines grünfluoreszierenden Proteins (GFP) wurde durch nichtnatürliche Aminosäuren, die Boronat-, Azid-, Nitro- und Ketogruppen tragen, ersetzt. Allgemein ist dieser GFP-Mutanten verglichen mit von GFP blauverschoben, und die Fluoreszenzintensität der Boronat-Variante nimmt nach Oxidation zu (siehe Schema). Mit den Röntgenkristallstrukturen der Keto- und Boronat-GFP-Mutanten können ihre veränderten Fluoreszenzeigenschaften erklärt werden.
Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop (2023)

This workshop summary on natural language processing (NLP) markers for psychosis and other psychiatric disorders presents some of the clinical and research issues that NLP markers might address and some of the activities needed to move in that direction. We propose that the optimal development of NLP markers would occur in the context of research efforts to map out the underlying mechanisms of psychosis and other disorders. In this workshop, we identified some of the challenges to be addressed in developing and implementing NLP markers-based Clinical Decision Support Systems (CDSSs) in psychiatric practice, especially with respect to psychosis. Of note, a CDSS is meant to enhance decision-making by clinicians by providing additional relevant information primarily through software (although CDSSs are not without risks). In psychiatry, a field that relies on subjective clinical ratings that condense rich temporal behavioral information, the inclusion of computational quantitative NLP markers can plausibly lead to operationalized decision models in place of idiosyncratic ones, although ethical issues must always be paramount.
Rheology and microstructures of electrorheological fluids containing both dispersed particles and liquid drops in a continuous phase (2000)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Byung Doo Chin, O Ok Park; Rheology and microstructures of electrorheological fluids containing both dispersed particles and liquid drops in a continuous phase. J. Rheol. 1 March 2000; 44 (2): 397–412. https://doi.org/10.1122/1.551091 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentThe Society of RheologyJournal of Rheology Search Advanced Search |Citation Search
Supplementary Data TS3 from Microparticle Encapsulation of a Prostate-targeted Biologic for the Treatment of Liver Metastases in a Preclinical Model of Castration-resistant Prostate Cancer (2023)

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SeeThrough: Finding Chairs in Heavily Occluded Indoor Scenes. (2017)

3D geometry mockups of single images of indoor scenes are useful for many applications including interior design, content creation for virtual reality, and image manipulation. Unfortunately, manually modeling a scene from a single image is tedious and requires expert knowledge. We aim to construct scene mockups from single images automatically. However, automatically inferring 3D scenes from 2D images is an ill-posed problem, as 2D images are projections of many meaningful attributes (e.g., geometry, illumination, material), with objects regularly being occluded by themselves or others. Recent systems targeting scene mockups mirror this observation and work mostly on fully visible objects. To improve the state-of-the-art we need to take into account contextual information, exploiting the fact that objects co-occur mostly in typical regular configurations. We exploit such regularity in the form of data-driven scene priors. Specifically, we first use a neural network trained on scene arrangement to extract keypoints, then feed these keypoints to a candidate object generation stage. From these candidates, an optimal selection is then made using pairwise co-occurrence statistics, discovered from a database of 3D scenes. We iterate the process allowing for candidates with low keypoint response to be detected based on the location of neighbouring objects. We demonstrate that our pipeline outperforms combinations of state-of-the-art single object methods, especially for scenes with severely occluded objects. All code, training data, and scene statistics will be available for research use.
Precision underwater positioning for in situ laser Raman spectrographic applications (2003)

The Monterey Bay Aquarium Research Institute (MBARI) has developed and deployed a laser Raman spectrometer system (DORISS-Deep Ocean Raman In-Situ Spectrometer) for oceanic geo-chemical measurements of sea water specimens. Quality spectra have been obtained on standards carried to the seafloor. The next stage of this development involves the ability to obtain spectra from natural targets of interest in the deep ocean and to maximize signal return from the sample. To accomplish maximum signal return the DORISS probe head must be properly positioned and focused. In addition the probe head must be held steady for several minutes while spectra are being acquired. This is in contrast to laboratory work in which the sample is precisely positioned with respect to the probe head. This requirement has been the driver for a new device, the Precision Underwater Positioning system (PUP). The positioning system has strict requirements for motion about the target. The DORISS requires very exact and repeatable motions with positional accuracies in the <1 mm range over a large workspace. The device must also let the user see where they are focusing, be able to move without disturbing the base position, and to stay stable over a variety of terrains. In addition, the system must be adaptable to other vehicles. Another requirement is to return relative position from a known home position once the PUP is set in place. Moreover, the device has several operational constraints that impacted the design and operation of the system. This paper outlines the science drivers, the operational considerations, and the engineering trades that were made to build the first two stages of the PUP. The test results of this system are also included demonstrating the device's actual performance against the specifications. In conclusion the paper outlines the next tasks and the direction the program is taking to fulfill the complete precision underwater positioning system requirements.
An iterative dynamic programming approach to 2-D phase unwrapping (2005)

We propose a novel Bayesian approach to 2-D phase unwrapping. Modeled as a first-order Gaussian Markov random field, the unwrapped phase is estimated according to a maximum a posteriori (MAP) rule. The estimate is made through a form of 2-D dynamic programming, using a series of row-by- row or column-by-column 1-D dynamic programming optimiza- tions. Increasing the number of states in the dynamic system can improve the unwrapping performance, but also increases the com- putational complexity. Due to this trade-off, a structured iterated conditional mode (SICM) is used to achieve good performance without examining a large number of states in each iteration. A row-by-row followed by column-by-column raster scan takes pre- vious estimates into account through a weighting. Other raster scans are also possible. The approach can be implemented effi- ciently in terms of memory usage due to the recyclable memory of dynamic programming. An example of the approach with seven states is given. Experimental results are compared to other algo- rithms including the least-squares method, the branch-cut method and Flynn's method, using interferometric SAR data. The new SICM algorithm is seen to be superior.
High-power-efficiency hybrid white organic light-emitting diodes with a single emitting layer doped with blue delayed fluorescent and yellow phosphorescent emitters (2015)

High-efficiency hybrid white organic light-emitting diodes (HWOLEDs) with a blue thermally activated delayed fluorescent (TADF) emitter and a yellow phosphorescent emitter doped in a single emitting layer were developed. Exciton harvesting by the blue TADF and yellow phosphorescent emitters rendered both singlet and triplet excitons to contribute to the white emission, which leads to a high quantum efficiency of 22.4% and a power efficiency of 60.3 lm W−1 in the HWOLEDs. In addition, the electroluminescence spectra of the HWOLEDs were kept stable from 100 cd m−2 to 5, 000 cd m−2.
Cladding Pumped Single Crystal Yb:YAG Fiber Amplifier (2015)

We report on fabrication and optical properties of double clad single crystal Yb:YAG core fiber. For the first time, net gain is demonstrated in a cladding pumped Yb:YAG single crystal fiber structure.
Structural effects of soft nanoparticulate ligands on trace metal complexation thermodynamics (2016)

Metal binding to natural soft colloids is difficult to address due to the inherent heterogeneity of their reactive polyelectrolytic volume and the modifications of their shell structure following changes in e.g. solution pH, salinity or temperature. In this work, we investigate the impacts of temperature- and salinity-mediated modifications of the shell structure of polymeric ligand nanoparticles on the thermodynamics of divalent metal ions Cd(ii)-complexation. The adopted particles consist of a glassy core decorated by a fine-tunable poly(N-isopropylacrylamide) anionic corona. According to synthesis, the charges originating from the metal binding carboxylic moieties supported by the corona chains are located preferentially either in the vicinity of the core or at the outer shell periphery (p(MA-N) and p(N-AA) particles, respectively). Stability constants (K<sub>ML</sub>) of cadmium-nanoparticle complexes are measured under different temperature and salinity conditions using electroanalytical techniques. The obtained K<sub>ML</sub> is clearly impacted by the location of the carboxylic functional groups within the shell as p(MA-N) leads to stronger nanoparticulate Cd complexes than p(N-AA). The dependence of K<sub>ML</sub> on solution salinity for p(N-AA) is shown to be consistent with a binding of Cd to peripheral carboxylic groups driven by Coulombic interactions (Eigen-Fuoss mechanism for ions-pairing) or with particle electrostatic features operating at the edge of the shell Donnan volume. For p(MA-N) particulate ligands, a scenario where metal binding occurs within the intraparticulate Donnan phase correctly reproduces the experimental findings. Careful analysis of electroanalytical data further evidences that complexation of metal ions by core-shell particles significantly differ according to the location and distribution of the metal-binding sites throughout the reactive shell. This complexation heterogeneity is basically enhanced with increasing temperature i.e. upon significant increase of particle shell shrinking, which suggests that the contraction of the reactive phase volume of the particulate ligands promotes cooperative metal binding effects.
In situx-ray-absorption spectroscopy study of hydrogen absorption by nickel-magnesium thin films (2003)

Structural and electronic properties of co-sputtered Ni-Mg thin films with varying Ni to Mg ratio were studied by in situ x-ray absorption spectroscopy in the Ni L-edge and Mg K-edge regions. Codeposition of the metals led to increased disorder and decreased coordination around Ni and Mg compared to pure metal films. Exposure of the metallic films to hydrogen resulted in formation of hydrides and increased disorder. The presence of hydrogen as a near neighbor around Mg caused a drastic reduction in the intensities of multiple scattering resonances at higher energies. The optical switching behavior and changes in the x-ray spectra varied with Ni to Mg atomic ratio. Pure Mg films with Pd overlayers were converted to ${\mathrm{MgH}}_{2}:$ The H atoms occupy regular sites as in bulk ${\mathrm{MgH}}_{2}.$ Although optical switching was slow in the absence of Ni, the amount of ${\mathrm{H}}_{2}$ absorption was large. Incorporation of Ni in Mg films led to an increase in the speed of optical switching but decreased maximum transparency. Significant shifts in the Ni ${L}_{3}$ and ${L}_{2}$ peaks are consistent with strong interaction with hydrogen in the mixed films.