gebhart/patrepeval huggingface dataset:
Oxidized mitochondrial nucleoids released by neutrophils drive type I interferon production in human lupus (2016)

Autoantibodies against nucleic acids and excessive type I interferon (IFN) are hallmarks of human systemic lupus erythematosus (SLE). We previously reported that SLE neutrophils exposed to TLR7 agonist autoantibodies release interferogenic DNA, which we now demonstrate to be of mitochondrial origin. We further show that healthy human neutrophils do not complete mitophagy upon induction of mitochondrial damage. Rather, they extrude mitochondrial components, including DNA (mtDNA), devoid of oxidized (Ox) residues. When mtDNA undergoes oxidation, it is directly routed to lysosomes for degradation. This rerouting requires dissociation from the transcription factor A mitochondria (TFAM), a dual high-mobility group (HMG) protein involved in maintenance and compaction of the mitochondrial genome into nucleoids. Exposure of SLE neutrophils, or healthy IFN-primed neutrophils, to antiribonucleotide protein autoantibodies blocks TFAM phosphorylation, a necessary step for nucleoid dissociation. Consequently, Ox nucleoids accumulate within mitochondria and are eventually extruded as potent interferogenic complexes. In support of the in vivo relevance of this phenomenon, mitochondrial retention of Ox nucleoids is a feature of SLE blood neutrophils, and autoantibodies against Ox mtDNA are present in a fraction of patients. This pathway represents a novel therapeutic target in human SLE.
Persistence of oral anticoagulant treatment for atrial fibrillation in the Netherlands: A surveillance study (2019)

Persistence to DOAC was low and in line with other observational studies, and higher for VKA. Our results show a clear correlation between age <60 years and worse persistence, as well as with female and non-adherence to DOAC.
Proteolytic activity of human non-Hodgkin's lymphomas. (1998)

This study was conducted to assess the net proteolytic activity of human non-Hodgkin's lymphomas (NHLs). We have compared the extracellular matrix (ECM)-degradative abilities of human NHLs, reactive lymphoid hyperplasias, and established lymphoid cell lines using Matrigel invasion and elastin degradation assays. The inhibition studies allowed identification of the classes of proteinases involved in ECM degradation. Our results indicate that lymphocytes and other leukocytes derived from both human NHLs and reactive lymphoid hyperplasias are capable of Matrigel penetration, but only cells derived from the high-grade human NHLs degrade elastin in vitro. Established lymphoid cell lines (both malignant and Epstein-Barr virus immortalized) do not produce MMP-9, do not penetrate the Matrigel, and do not degrade elastin. Moreover, in human NHLs, elastolytic activity is blocked by metalloproteinase inhibitors, while inhibitors of the other classes of proteolytic enzymes have only minor effects. This study identifies metalloproteinases as the most important class of proteinases involved in ECM degradation by NHLs. The previous studies suggest that, within this class, MMP-9 represents the key enzyme that plays a role in the biological aggressiveness of human NHLs.
ChemInform Abstract: An Efficient Access to α‐Tetralones and Their Derivatives via O‐ Quinodimethanes Generated by Isochromene Ring Cleavage. (1992)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Multi-channel Environmental sound segmentation (2020)

This paper addresses multi-channel environmental sound segmentation. Unlike traditional sound source separation using spatial information, environmental sound segmentation is a technique that simultaneously detects, separates, and identifies sections based on the properties of previously learned sound sources. One such method, U-Net-based method, proposed for image semantic segmentation, has been proposed for environmental sound segmentation. However, since this method does not use spatial information, performance degrades with overlapping sound sources. Deeplabv3+, which is one of the state-of-the-art methods has been proposed for image semantic segmentation, however, few studies apply these methods to the sound domain. In this study, we applied Deeplabv3+ to environmental sound segmentation. In addition, the input features are expanded to multi-channel to improve the performance of the overlapping sound. We evaluated the effects of Deeplabv3+ and multi-channel expansion using multiple datasets which contains 3 or 75 classes and diffuse noise. Experimental results show that Deeplabv3+ performed better than the previous model, but the effect of multi-channel expansion was limited to certain datasets.
Metal-Catalyzed Transesterification for Healing and Assembling of Thermosets (2012)

Catalytic control of bond exchange reactions enables healing of cross-linked polymer materials under a wide range of conditions. The healing capability at high temperatures is demonstrated for epoxy-acid and epoxy-anhydride thermoset networks in the presence of transesterification catalysts. At lower temperatures, the exchange reactions are very sluggish, and the materials have properties of classical epoxy thermosets. Studies of model molecules confirmed that the healing kinetics is controlled by the transesterification reaction rate. The possibility of varying the catalyst concentration brings control and flexibility of welding and assembling of epoxy thermosets that do not exist for thermoplastics.
Water Sorption, Proton Conduction, and Methanol Permeation Properties of Sulfonated Polyimide Membranes Cross-Linked with N,N-Bis(2-hydroxyethyl)-2-aminoethanesulfonic Acid (BES) (2005)

Sulfonated polyimide (SPI) membranes consisting of 1,4,5,8-naphthalenetetracarboxylic dianhydride (NTDA), 3,5-diaminobenzoic acid (DBA), and 4,4‘-diaminodiphenyl ether 2,2‘-disulfonic acid (SODA) were synthesized over a wide range of DBA/SODA molar compositions. A sulfonic acid-containing cross-linking agent, N,N-bis(2-hydroxyethyl)-2-aminoethanesulfonic acid (BES), was subsequently used to induce cross-linking between sulfonated polyimide chains via a thermally activated reaction. Efforts to prevent excessive water swelling due to the high degree of sulfonation and to avoid undesirable molecular transport by cross-linking typically resulted in a reduction of ion conductivity due to the blockage of a hydrophilic channel or loss of the water pocket after cross-linking. To solve this problem, a sulfonic acid-containing compound was used as both a cross-linking agent and a proton carrier. One of the main goals of this study was to compensate for the probable loss of ion conductivity due to cross-linking by using a cross-linker that included a fixed charge group. As expected, the BES-cross-linked SPI membranes showed excellent proton conductivity (i.e., σ = 0.1 S cm-1 at 90 °C and relative humidity (RH) of 90%) and low methanol permeability (i.e., P = 1.6 × 10-7 cm2 s-1). Proton conductivity increased and methanol permeability decreased with BES content, which is completely contrary to typical behavior as both properties are normally reduced by further cross-linking. In addition, the effect of cross-linking without a fixed charged group (-SO3H) on the transport and permeation properties was compared with that of BES in cross-linked SPI membranes.
Fluorescent Marker for the Detection of Crop and Upper Gastrointestinal Leakage in Poultry Processing Plants (2002)

Previous published research has identified the crop as a source of Salmonella and Campylobacter contamination for broiler carcasses and reported that broiler crops are 86 times more likely to rupture than ceca during commercial processing. Presently, we evaluated leakage of crop and upper gastrointestinal contents from broilers using a fluorescent marker at commercial processing plants. Broilers were orally gavaged with a fluorescent marker paste (corn meal-fluorescein dye-agar) within 30 min of live hang. Carcasses were collected at several points during processing and were examined for upper gastrointestinal leakage using long-wavelength black light. This survey indicated that 67% of the total broiler carcasses were positive for the marker at the rehang station following head and shank removal. Crops were mechanically removed from 61% of the carcasses prior to the cropper, and visual online examination indicated leakage of crop contents following crop removal by the pack puller. Examination of the carcasses prior to the cropper detected the marker in the following regions: neck (50.5% positive), thoracic inlet (69.7% positive), thoracic cavity (35.4% positive), and abdominal cavity (34.3% positive). Immediately prior to chill immersion, 53.2% of the carcasses contained some degree of visually identifiable marker contamination, as follows: neck (41.5% positive), thoracic inlet (45.2% positive), thoracic cavity (26.2% positive), and abdominal cavity (30.2% positive). These results suggest that this fluorescent marker technique may serve as a useful tool for rapid identification of potential changes, which could reduce the incidence of crop rupture and contamination of carcasses at processing.
Cell and Gene Therapy in Alzheimer's Disease (2013)

Alzheimer's disease (AD) is a progressive neurological disorder characterized by the aggregation of two proteins, amyloid-β and hyperphosphorylated tau, and by neuronal and synaptic loss. Although some drugs have been shown to slow the progression of the disease, at present no treatment has been developed that can stop or reverse the progression of the pathology. Recently, new therapeutic strategies have been proposed for the treatment of the disease. Among these, the development of stem cells and gene-modified cells is an especially promising therapeutic approach for AD. In this review we highlight the experimental and preclinical studies that have been focused on stem cell-based and gene-modified cell-based uses as potential therapies for AD. The potential clinical applications are also discussed.
Multimodal Frequency Treatment for Facial Pain Caused by Chronic Rhinosinusitis: A Pilot Study (2017)

Chronic rhinosinusitis (CRS) is a common disease that affects over 200 million patients worldwide. CRS often presents with facial pain, which is considered an important criterion for the diagnosis of CRS. A single-arm clinical study was designed to test the effect of simultaneous high (1 MHz) and low frequencies (70–80 Hz) on facial pain in 14 CRS patients at the Sarah Bush Lincoln Health Center, Mattoon, IL, USA. We used two quality of life (QOL) instruments to test the effect of multimodal frequencies on patients suffering from CRS: the Brief Pain Inventory Short Form (BPI-SF), and the Sino-Nasal Outcome Test (SNOT-22). Mean BPI-SF severity scores improved by 0.80 points (Wilcoxon rank sum test p &lt; 0.01) in all 14 patients. In patients with baseline facial pain (n = 9), the scores improved by an average of 1.5 (p &lt; 0.01) points in the pain severity domain and by 1.4 points in the pain interference domain. Additionally, the mean improvement in SNOT-22 scores was 14.11 (p &lt; 0.05), which is above the minimal clinically-important difference (MCID) of nine points. Our pilot study indicates that multimodal vibration frequencies applied over the facial sinuses reduce pain, possibly through the reduction of the inflammatory response and modulation of the pain receptors. This study suggests the possibility that combining different frequencies could have an enhanced effect on reducing CRS-related facial pain.
Error mitigation for untrained data utilizing generative model in vehicle shape estimation with millimeter-wave radar by deep neural network. (2021)

Deep Neural Network (DNN) can provide highly accurate recognition for trained data, however, the estimation error for untrained data cannot be controlled. This is an essential challenge of generalizability in machine learning, and it is difficult to solve fundamentally. To solve this problem, we embed the inherent knowledge of the model to be estimated into the training model and impose parameter constraints to prevent deviation from the model so that generalizability is improved. Also, we trained the model with self-supervised learning using Variational Auto Encoder (V AE) on the training data, and evaluated the reconstruction error for the input data to judge the reliability of the estimation results. If the reliability is judged to be low, we switch to the deductive model, which does not cause large errors. This will suppress the maximum error. In this paper, we applied this method to the shape estimation of parking vehicles using a millimeter-wave radar. A parametric model with a minimum number of parameters was designed to represent the vehicle shape, which was trained by Convolutional Neural Network (CNN) to estimate the shape. The estimation reliability is predicted using the model trained with self-supervised learning by V AE. When the reliability is judged to be low, the position error is corrected based on the reflection pattern of a millimeter-wave radar. We confirmed that a large error for untrained data can be suppressed using actual parking data.
A Framework for Fluid-Solid-Growth Modeling and its Application to Understanding the Enlargement of a Fusiform Aneurysm (2008)

Blood vessels adapt in response to changes in their biomechanical and biochemical environment under various physiological and pathological conditions. While advances in computational hemodynamics and arterial wall mechanics have been spectacular, such advances have been achieved separately; there is, therefore, a pressing need for coupling biosolid and biofluid mechanics within a computationally efficient framework to study effects of fluid-solid interactions (FSI) in growth and remodeling (G&amp;R) of the vessel wall. Toward this end, we built a fluid-solid-growth (FSG) modeling framework [1] that incorporates four separate advances by our groups: biomechanics of G&amp;R [2], a coupled momentum method for FSI during a cardiac cycle [3], a theory of small on large for coupling G&amp;R and FSI models [4], and improved approaches for modeling fluid boundary conditions in complex vascular systems [5]. Although the framework presented here is sufficiently general to apply to many different vascular adaptation problems, we first apply this framework to a fusiform aneurysm with a simple geometry.
Neutron response result of hybrid scintillator; Ce:LiCaAlF6 covered with plastic scintillator coupled to APD (2011)

We report first read out result of inorganic-organic hybrid scintillator; Ce:LiCaAlF6 single crystal covered with plastic scintillator for neutron detection. The Ce:LiCaAlF <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</sup> sample coated with POPOP containing PPO showed great light output and energy resolution than the Ce:LiCaAlF <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</sup> itself when it was coupled to PMT. Light output was increased up to 203% and energy resolution was improved to 9%, which originally it was 16%. Moreover, we succeed in clear neutron peak this new hybrid scintillator APD (Hamamats S8664-1010).
High-Throughput Computation of Shannon Mutual Information on Chip (2019)

Exploration problems are fundamental to robotics, arising in various domains, ranging from search and rescue to space exploration. Many effective exploration algorithms rely on the computation of mutual information between the current map and potential future measurements in order to make planning decisions. Unfortunately, computing mutual information metrics is computationally challenging. In fact, a large fraction of the current literature focuses on approximation techniques to devise computationally-efficient algorithms. In this paper, we propose a novel computing hardware architecture to efficiently compute Shannon mutual information. The proposed architecture consists of multiple mutual information computation cores, each evaluating the mutual information between a single sensor beam and the occupancy grid map. The key challenge is to ensure that each core is supplied with data when requested, so that all cores are maximally utilized. Our key contribution consists of a novel memory architecture and data delivery method that ensures effective utilization of all mutual information computation cores. This architecture was optimized for 16 mutual information computation cores, and was implemented on an FPGA. We show that it computes the mutual information metric for an entire map of 20m 20m at 0.1m resolution in near real time, at 2 frames per second, which is approximately two orders of magnitude faster, while consuming an order of magnitude less power, when compared to an equivalent implementation on a Xeon CPU.
Invited talk: 2.5D and 3D technology advancements for systems (2013)

Silicon interposer packaging and thin die stacking technologies with through-silicon-vias (TSV's) can improve performance, increase bandwidth, improve power efficiency, and reduce costs for systems applications. Proper system architecture and designs are critical to achieve these system benefits using silicon interposer packaging (2.5D) and 3-dimensional (3D) die stacking technologies. 2.5D and 3D heterogeneous multi-chip integration technologies have numerous challenges but through advancements they each can provide significant system benefits when compared to traditional packaging integration solutions. Portable electronics such as smart phones, sensors and bio-medical systems can benefit from “technology miniaturization” with increasing function in product generations, improved power efficiency, lower cost and high volume scale up capability associated with this small size and wafer or panel level processing. Large systems can also benefit from 2.5D and 3D technologies by taking advantage of close proximity computing, higher bandwidth with low latency, and power efficiencies to achieve higher performance and lower energy per operation.
Simultaneous Engineering: Kritische Analyse eines Planungs- und Organisationsansatzes zur Erfolgsverbesserung industrieller Produktinnovationen (2000)

Simultaneous Engineering (SE) ist eine ganzheitliche Steuerungsphilosophie für industrielle Produktinnovationsvorhaben, die durch Parallelisierung und Integration von Teilaufgaben eine signifikante betriebswirtschaftliche Erfolgsverbesserung der Produktinnovationen anstrebt. Ziel dieses Aufsatzes ist es, durch eine Synopse der betriebswirtschaftlichen SE-Literatur, (1) SE-Grundprinzipien und -Implementierungsansätze herauszuarbeiten, (2) den Verbreitungsgrad von SE zu beleuchten sowie (3) zu analysieren, welche betriebswirtschaftlich relevanten SE-Wirkun-gen empirisch fundiert nachgewiesen wurden. Die Untersuchung zeigt, daß (1) die Umsetzung der SE-Philosophie den abgestimmten Einsatz planerischer, organisatorischer und informationstechnischer Methoden erfordert, (2) die Mehrheit der Industrieunternehmen SE-Prinzipien kaum umsetzt und (3) SE sich im Mittel zwar verkürzend auf die Entwicklungszeit, aber nur selten auch gleichzeitig positiv auch auf Entwicklungskosten und Qualität neuer Produkte auswirkt.
Crystallization of the archaeal transcription termination factor NusA: a significant decrease in twinning under microgravity conditions (2007)

The transcription termination factor NusA from Aeropyrum pernix was crystallized using a counter-diffusion technique in both terrestrial and microgravity environments. Crystallization under microgravity conditions significantly reduced the twinning content (1.0%) compared with terrestrially grown crystals (18.3%) and improved the maximum resolution from 3.0 to 2.29 A, with similar unit-cell parameters. Based on a comparison of the crystal parameters, the effect of microgravity on protein crystallization is discussed.
Repair of large area pores in supported double bilayers (2013)

We describe an experimental system where we can generate, and subsequently close, multiple large membrane ruptures in supported double bilayers. We show in this study for the first time that large membrane pores (∼10–150 μm in size) in flat phospholipid vesicles can be reduced in size or completely closed by a pore edge tension driven area reduction mechanism. We can dynamically control the membrane tension of a flat giant unilamellar vesicle and its interplay with the surface adhesion to a solid support. Adhesion to the support surface causes increased membrane tension, which eventually relaxes by the formation of several pores in the membrane. We show that the tension propagation time τmax is exceptionally long in this system, which allows for simultaneous opening of multiple pores. The pores can be stabilized by Ca2+-mediated pinning sites in the interior of the flat giant unilamellar vesicle. After pore formation followed by pinning, we depleted Ca2+ ions resulting in removal of pinning and relaxation of membrane tension. This allows the pore to close, driven by the pore edge tension.
Dark-Field Chest Radiography of Combined Pulmonary Fibrosis and Emphysema (2022)

Supplemental material is available for this article.
Analysis of Bleustein–Gulyaev wave propagation under thin periodic metal electrodes (1991)

Bleustein–Gulyaev (BG) piezoelectric surface-wave propagation under a periodic metal-strip grating on piezoelectric cubic crystals is investigated. A general theory that fits both the elastic and electric periodic boundary conditions has been developed and is applicable to a grating with an arbitrary electrical connection between adjacent metal strips. Numerical examples are given for aluminum- and gold-shorted gratings on a gallium arsenide substrate. It is found that the BG waves which penetrate deep into the substrate in the absence of the metal grating become trapped at the surface when the grating is present. It is noted that the penetration depth is heavily dependent on the metal thickness. The relevant physical attributes of the wave such as particle displacement, electric potential, and dispersion are also computed and analyzed.
Virtually Complete Control of Simple and Face Diastereoselectivity in the Michael Addition Reactions between Achiral Equivalents of a Nucleophilic Glycine and (S)- or (R)-3-(E-Enoyl)-4-phenyl-1,3-oxazolidin-2-ones:  Practical Method for Preparation of β-Substituted Pyroglutamic Acids and Prolines (2004)

This study demonstrates a new strategy for controlling the stereochemical outcome of the Michael addition reactions between nucleophilic glycine equivalents and alpha,beta-unsaturated carboxylic acid derivatives: The addition reactions between achiral Ni(II)-complex of the Schiff base of glycine with o-[N-alpha-pycolylamino]acetophenone and (S)- or (R)-3-(E-enoyl)-4-phenyl-1,3-oxazolidin-2-ones were shown to occur at room temperature in the presence of nonchelating organic bases and, most notably, with very high stereoselectivity at both newly formed stereogenic centers. Thus, the chiral 4-phenyl-1,3-oxazolidin-2-one moiety was found to control efficiently both face diastereoselectivities of the glycine derived enolate and the C,C double bond of the Michael acceptor. The new strategy developed in this work is methodologically superior to previous methods, most notably in terms of generality and synthetic efficiency. Excellent chemical yields and diastereoselectivities, combined with the simplicity of the experimental procedures, render the present method of immediate use for preparing various 3-substituted pyroglutamic acids and related amino acids (glutamic acids, glutamines, prolines, etc.) available via conventional transformations of the former.