gebhart/patrepeval huggingface dataset:
Myocardial fibrosis in mice with overexpression of human blood coagulation factor IX (2003)

Elevated circulatory levels of many blood coagulation factors are known to be a risk factor for deep vein thrombosis in humans. Here we report the first direct demonstration of a close association between elevated circulatory factor IX levels in mice with thrombosis as well as myocardial fibrosis. Transgenic mice overexpressing human factor IX at persistently high levels died at much younger ages than their cohorts expressing lower levels, or nontransgenic control animals. The median survival age of animals was inversely related to the circulatory levels of human factor IX. Prematurely dying animals had focal fibrotic lesions predominantly present in the left ventricular myocardium, and vasculatures in these lesions showed fibrin deposition. Thromboemboli were also present in other organs, including lung and brain. These observations support the hypothesis that persistently high circulatory levels of factor IX are a risk factor not only for thrombosis and/or thromboembolism, but also for myocardial fibrosis mimicking human myocardial infarction.
Dynamic exchange of counterions of polystyrene sulfonate (2012)

Adopting a cationic fluorescent molecule, rhodamine 6G, as the probe of the counterions of the model anionic polyelectrolyte (sodium polystyrene sulfonate, PSSNa), the diffusion of the counterion probes inside the solution of PSSNa was studied by fluorescence correlation spectroscopy. Two species of the counterion probes with different diffusion coefficient were discovered--the freely diffusing probes and the probes bound to the PSS(-) chains. The concentration fraction of these two species was found to change with the concentration and molecular weight of PSSNa. The results show that the counterion binding to the PSS(-) chain is enhanced with the increase of polymer concentration, attributed to the result of the lowered translational entropic penalty at higher polymer concentrations. The counterion binding is also enhanced with the increase of molecular weight, and the origin was attributed to the chain end effect to the counterion distribution. The results indicate the dynamic exchange process between the free counterions and the bound ones, which is further evidenced by the replacement of the bound probes by the elevated salt levels in the solution.
A Wide-Field-of-View Monocentric Light Field Camera (2017)

Light field (LF) capture and processing are important in an expanding range of computer vision applications, offering rich textural and depth information and simplification of conventionally complex tasks. Although LF cameras are commercially available, no existing device offers wide field-of-view (FOV) imaging. This is due in part to the limitations of fisheye lenses, for which a fundamentally constrained entrance pupil diameter severely limits depth sensitivity. In this work we describe a novel, compact optical design that couples a monocentric lens with multiple sensors using microlens arrays, allowing LF capture with an unprecedented FOV. Leveraging capabilities of the LF representation, we propose a novel method for efficiently coupling the spherical lens and planar sensors, replacing expensive and bulky fiber bundles. We construct a single-sensor LF camera prototype, rotating the sensor relative to a fixed main lens to emulate a wide-FOV multi-sensor scenario. Finally, we describe a processing toolchain, including a convenient spherical LF parameterization, and demonstrate depth estimation and post-capture refocus for indoor and outdoor panoramas with 15 × 15 × 1600 × 200 pixels (72 MPix) and a 138° FOV.
Dealing with unknowns in machine translation (2002)

An 'unknown' is defined as a word for which there is no entry in the dictionary used by the translation system. In general, a text may contain several unknowns. These words may be names, acronyms, abbreviations, terminology or foreign words. It is a common practice in India to mix English words in Hindi and other Indian languages, and vice-versa. However, the grammatical rules in the construction of gender, number, verb nominalization or forms conform to those for the language used, irrespective of their origin. This gives rise to frequent encounters with unknown words in day-to-day communications. A machine translation system has to provide a mechanism for handling such unknowns. Spelling mistakes are yet another source that contributes to these unknowns. In this paper, we describe the strategy being adopted in our system for machine-aided translation from English to Hindi. No attempt has been made to expand the vocabulary by deriving the meaning of the unknown words. Instead, once an unknown is identified, a transliteration in Hindi with appropriate suffixes or appendages is used to substitute for their meaning. We use predictive parsing and a number of heuristics to identify the type of unknown.
<i>In vivo</i>bubble nucleation probability in sheep brain tissue (2011)

Gas nuclei exist naturally in living bodies. Their activation initiates cavitation activity, and is possible using short ultrasonic excitations of high amplitude. However, little is known about the nuclei population in vivo, and therefore about the rarefaction pressure required to form bubbles in tissue. A novel method dedicated to in vivo investigations was used here that combines passive and active cavitation detection with a multi-element linear ultrasound probe (4-7 MHz). Experiments were performed in vivo on the brain of trepanated sheep. Bubble nucleation was induced using a focused single-element transducer (central frequency 660 kHz, f-number = 1) driven by a high power (up to 5 kW) electric burst of two cycles. Successive passive recording and ultrafast active imaging were shown to allow detection of a single nucleation event in brain tissue in vivo. Experiments carried out on eight sheep allowed statistical studies of the bubble nucleation process. The nucleation probability was evaluated as a function of the peak negative pressure. No nucleation event could be detected with a peak negative pressure weaker than -12.7 MPa, i.e. one order of magnitude higher than the recommendations based on the mechanical index. Below this threshold, bubble nucleation in vivo in brain tissues is a random phenomenon.
Ratiometric two-photon microscopy reveals attomolar copper buffering in normal and Menkes mutant cells (2019)

Copper is controlled by a sophisticated network of transport and storage proteins within mammalian cells, yet its uptake and efflux occur with rapid kinetics. Present as Cu(I) within the reducing intracellular environment, the nature of this labile copper pool remains elusive. While glutathione is involved in copper homeostasis and has been assumed to buffer intracellular copper, we demonstrate with a ratiometric fluorescent indicator, crisp-17, that cytosolic Cu(I) levels are buffered to the vicinity of 1 aM, where negligible complexation by glutathione is expected. Enabled by our phosphine sulfide-stabilized phosphine (PSP) ligand design strategy, crisp-17 offers a Cu(I) dissociation constant of 8 aM, thus exceeding the binding affinities of previous synthetic Cu(I) probes by four to six orders of magnitude. Two-photon excitation microscopy with crisp-17 revealed rapid, reversible increases in intracellular Cu(I) availability upon addition of the ionophoric complex CuGTSM or the thiol-selective oxidant 2,2'-dithiodipyridine (DTDP). While the latter effect was dramatically enhanced in 3T3 cells grown in the presence of supplemental copper and in cultured Menkes mutant fibroblasts exhibiting impaired copper efflux, basal Cu(I) availability in these cells showed little difference from controls, despite large increases in total copper content. Intracellular copper is thus tightly buffered by endogenous thiol ligands with significantly higher affinity than glutathione. The dual utility of crisp-17 to detect normal intracellular buffered Cu(I) levels as well as to probe the depth of the labile copper pool in conjunction with DTDP provides a promising strategy to characterize perturbations of cellular copper homeostasis.
Metabolic Shifts in Immunity and Inflammation (2010)

Sites of ongoing inflammation and triggered immune responses are characterized by significant changes in metabolic activity. Recent studies have indicated that such shifts in tissue metabolism result from a combination of profound recruitment of inflammatory cells (neutrophils and monocytes) and high proliferation rates among lymphocyte populations. The resultant shifts in energy supply and demand can result in metabolic acidosis and diminished delivery and/or availability of oxygen, leading to hypoxia extensive enough to trigger transcriptional and translation changes in tissue phenotype. Such phenotypic shifts can imprint fundamental changes to tissue metabolism. In this study, we review recent work addressing metabolic changes and metabolic control of inflammation and immunity.
Lactobacillus acidophilus inhibits growth of Campylobacter pylori in vitro (1989)

Campylobacter pylori has been implicated as a causative factor in acid-peptic disease. Lactobacillus acidophilus is known to inhibit the growth of pathogens in the human gastrointestinal tract. We recovered C. pylori from gastric antral biopsies of seven patients with acid-peptic disease; the isolates were then cultured in brucella broth. The effect of L. acidophilus (cultured in DeMan-Rogosa-Sharpe broth) on the growth of C. pylori was tested by a mixed culture technique. L. acidophilus inhibited the growth of all seven isolates of C. pylori in vitro. All these isolates were also inhibited by the L. acidophilus culture supernatant (brucella blood agar cup technique) obtained at or after 48 h of incubation. Inhibition of C. pylori growth was also observed with 1 and 3% lactic acid but not with 0.5 and 1% hydrogen peroxide, the L. acidophilus sonic extract, or a citrate-phosphate buffer (pH 4.0). We conclude that the inhibitory action of L. acidophilus on C. pylori is dependent on an extracellular secretory product, probably lactic acid. This inhibitory effect may be of therapeutic relevance in patients with C. pylori-positive acid-peptic disease.
Trends in Autologous Fat Grafting to the Breast (2013)

Fat grafting to the breast is a common procedure most often used in reconstructive operations. The increasing prevalence of fat grafting to the breast indicates a need for collection of clinical data and supports the establishment of a national prospective registry to track outcomes after aesthetic and reconstructive applications.
Kinetics and Mechanism of Formation of Sulfonate from Epinephrine and Bisulfite (1960)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTKinetics and Mechanism of Formation of Sulfonate from Epinephrine and BisulfiteTakeru Higuchi and Louis C. SchroeterCite this: J. Am. Chem. Soc. 1960, 82, 8, 1904–1907Publication Date (Print):April 1, 1960Publication History Published online1 May 2002Published inissue 1 April 1960https://pubs.acs.org/doi/10.1021/ja01493a018https://doi.org/10.1021/ja01493a018research-articleACS PublicationsRequest reuse permissionsArticle Views551Altmetric-Citations38LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Charge injection imaging: operating techniques and performances characteristics (1976)

The charge-injection device (CID) imaging technique employs intracell transfer and injection to sense photon-generated charge at each sensing site. Sites are addressed by an X-Y coincident-voltage technique that is not restricted to standard scanning. Free-format (random) site selection is possible. An epitaxial structure provides a buried collector to prevent recollection of the injected charge. In sequential injection, the charge is injected into the substrate and the resulting displacement current sensed. In parallel injection, the functions of signal charge detection and injection have been separated. The injection operation is used to reset (empty) the charge storage capacitors after line readout has been completed. Nondestructive readout (NDRO) is possible by deferring the injection operation. Low-loss NDRO operation has been achieved using a cooled imager.
Robust navigation control and headland turning optimization of agricultural vehicles (2013)

Autonomous agricultural robots have experienced rapid development during the last decade. They are capable of automating numerous field operations such as data collection, spraying, weeding, and harvesting. Because of the increasing demand of field work load and the diminishing labor force on the contrary, it is expected that more and more autonomous agricultural robots will be utilized in future farming systems.
The development of a four-wheel-steering (4WS) and four-wheel-driving (4WD) robotic vehicle, AgRover, was carried out at Agricultural Automation and Robotics Lab at Iowa State University. As a 4WS/4WD robotic vehicle, AgRover was able to work under four steering modes, including crabbing, front steering, rear steering, and coordinated steering. These steering modes provided extraordinary flexibilities to cope with off-road path tracking and turning situations. AgRover could be manually controlled by a remote joystick to perform activities under individual PID controller of each motor. Socket based software, written in Visual C#, was developed at both AgRover side and remote PC side to manage bi-directional data communication. Safety redundancy was also considered and implemented during the software development.
One of the prominent challenges in automated navigation control for off-road vehicles is to overcome the inaccuracy of vehicle modeling and the complexity of soil-tire interactions. Further, the robotic vehicle is a multiple-input and multiple-output (MIMO) high-dimensional nonlinear system, which is hard to be controlled or incorporated by conventional linearization methods. To this end, a robust nonlinear navigation controller was developed based on the Sliding Mode Control (SMC) theory and AgRover was used as the test platform to validate the controller performance. Based on the theoretical framework of such robust controller development, a series of field experiments on robust trajectory tracking control were carried out and promising results were achieved.
Another vitally important component in automated agricultural field equipment navigation is automatic headland turning. Until now automated headland turning still remains as a challenging task for most auto-steer agricultural vehicles. This is particularly true after planting where precise alignment between crop row and tractor or tractor-implement is critical when equipment entering the next path. Given the motion constraints originated from nonholonomic agricultural vehicles and allowable headland turning space, to realize automated headland turning, an optimized headland turning trajectory planner is highly desirable. In this dissertation research, an optimization scheme was developed to incorporate vehicle system models, a minimum turning-time objective, and a set of associated motion constraints through a direct collocation nonlinear programming (DCNLP) optimization approach. The optimization algorithms were implemented using Matlab scripts and TOMLAB/SNOPT tool boxes. Various case studies including tractor and tractor-trailer combinations…
Hierarchical Clustering Analysis of Tissue Microarray Immunostaining Data Identifies Prognostically Significant Groups of Breast Carcinoma (2004)

Prognostically relevant cluster groups, based on gene expression profiles, have been recently identified for breast cancers, lung cancers, and lymphoma. Our aim was to determine whether hierarchical clustering analysis of multiple immunomarkers (protein expression profiles) improves prognostication in patients with invasive breast cancer. A cohort of 438 sequential cases of invasive breast cancer with median follow-up of 15.4 years was selected for tissue microarray construction. A total of 31 biomarkers were tested by immunohistochemistry on these tissue arrays. The prognostic significance of individual markers was assessed by using Kaplan-Meier survival estimates and log-rank tests. Seventeen of 31 markers showed prognostic significance in univariate analysis (P < or = 0.05) and 4 markers showed a trend toward significance (P < or = 0.2). Unsupervised hierarchical clustering analysis was done by using these 21 immunomarkers, and this resulted in identification of three cluster groups with significant differences in clinical outcome. chi2 analysis showed that expression of 11 markers significantly correlated with membership in one of the three cluster groups. Unsupervised hierarchical clustering analysis with this set of 11 markers reproduced the same three prognostically significant cluster groups identified by using the larger set of markers. These cluster groups were of prognostic significance independent of lymph node metastasis, tumor size, and tumor grade in multivariate analysis (P=0.0001). The cluster groups were as powerful a prognostic indicator as lymph node status. This work demonstrates that hierarchical clustering of immunostaining data by using multiple markers can group breast cancers into classes with clinical relevance and is superior to the use of individual prognostic markers.
Hyperresponsiveness, Resistance to B-Cell Receptor—Dependent Activation-Induced Cell Death, and Accumulation of Hyperactivated B-Cells in Islets Is Associated With the Onset of Insulitis but not Type 1 Diabetes (2004)

B-cells proliferate after B-cell receptor (BCR) stimulation and are deleted by activation-induced cell death (AICD) during negative selection. We report that B-cells from type 1 diabetes-susceptible NOD and type 1 diabetes-resistant but insulitis-prone congenic NOD.B6Idd4B and NOR mice, relative to B-cells from nonautoimmune disease-prone C57BL/6 and BALB/c mice, display a hyperproliferative response to BCR stimulation and lower activation threshold in the absence or presence of interleukin 4 (IL-4). This hyperproliferation is associated with an increased proportion of NOD and NOR B-cells that enter into the S phase of the cell cycle and undergo cell division. The relative resistance to BCR-induced AICD of B-cells from NOD, NOR, and NOD.B6Idd4B mice, all of which develop insulitis, correlates with the presence of a higher percentage of hyperactivated B-cells in the spleen and islets of these mice than in nonautoimmune disease-prone C57BL/6 and BALB/c mice. The NOD islet-infiltrated activated B-cells are more responsive to further stimulation by IL-4 than activated spleen B-cells. Our results suggest that resistance to AICD and accumulation of hyperactivated B-cells in islets is associated with the onset of an inflammatory insulitis, but not type 1 diabetes.
Vertical Vibration of a Deep Bed of Granular Material in a Container (1996)

A deep bed of granular material (more than six layers of particles) was subjected to sinusoidal, vertical vibrations. Several phenomena were observed depending on the amplitude of excitation. These included heaping, surface waves, and arching; the transitions from one state to another involved various dynamic instabilities and bifurcations. The paper includes a description of these phenomena and the characteristic properties associated with each in addition to measurements of the transitions from one phenomena to another.
Threshold-Triggered Mems-Cmos Infrared Resonant Detector with Near-Zero Standby Power Consumption (2019)

This paper reports on the first experimental demonstration of an integrated microsystem that can turn itself ON to quantify the intensity of infrared (IR) radiation when an above-threshold IR signature is present, but otherwise remain dormant with near-zero standby power consumption. The proposed sensor system combines the unique advantage of two recently developed technologies, namely, the zero-power nature of micromechanical photoswitches (MPs) and the high resolution of aluminum nitride (AlN) MEMS resonant infrared detectors (RIDs), to achieve an unprecedented IR sensing capability. Thanks to the spectral selectivity enabled by the plasmonically-enhanced thermo-mechanical transduction in both MEMS structures, the proposed sensor system is capable of discriminating the spectral content of incoming IR radiation for the identification of events of interest. The prototype presented here is automatically powered up by the MP when the incoming IR radiation exceeds 440 nW showing a high IR detection resolution (noise equivalent power ~746.4 pW/Hz <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1/2</sup> ) in active state and a near-zero power consumption (~3.01 nW) in standby.
A flying capacitor multilevel converter with sampled valley-current detection for multi-mode operation and capacitor voltage balancing (2016)

Multi-level hybrid converters have been shown to be a promising class of DC-DC converters. One member of this class is the Flying Capacitor Multilevel (FCML) Converter, which is explored in this work. The multi-mode approach is discussed as a tool to affect high efficiency and power-density across a wide load range, provide variable regulation, and as a general framework to conceptualize the advantages and opportunities of the approach compared to more traditional DC-DC converters. Sampled valley-current detection is explored as a robust control approach for multi-mode regulation. Furthermore, a theoretical framework is developed to show that flying capacitor voltages can be balanced through valley current balancing. Experimental results from a 4-level FCML converter are presented to verify the findings.
Transition Metal Catalysis in Fluorous Media: Practical Application of a New Immobilization Principle to Rhodium‐Catalyzed Hydroboration (1997)

The “Teflon greaseball” [RhCl{P[CH2CH2((CF2)5CF3]3}3] (1) is highly soluble in CF3C6F11 and catalyzes a variety of organic transformations. The products can be extracted with organic solvents, and the solution of 1 reused. This environmentally friendly protocol is showcased for hydroboration, in which the customary oxidative workup destroys the metal catalyst. Catalyst loadings of only 0.01–0.25 mol% are effective under mild conditions (25–40°C, 1–40 h) and give turnover numbers as high as 8500.
Electrical intelligent system for controlling the formation of monodisperse droplets in granulation devices based on magnetostrictive actuator (2017)

The analysis of the main shortcomings of existing actuators for obtaining monodisperse droplets is carried out. An electric intelligent control system for the operation of an electromagnetic vibrator is proposed. The system with the help of the actuator drive control unit allows to select the optimum frequency of the oscillations of the working mechanism depending on the productivity of the granulation plant, the speed of the granulation device, the physical and chemical properties of the melt and the environmental conditions. Industrial tests of the proposed electric intellectual system were conducted and ways of its further improvement were outlined.