gebhart/patrepeval huggingface dataset:
Grid-based Inversion of Pressure Transient Test Data (2010)

In any subsurface exploration and development, indirect measurements such as detailed geological description, outcrop data, etc., and direct measurements such as seismic, cores, logs, and fluid samples, etc., provide useful information for static and dynamic reservoir description, simulation, and forecasting. However, core and log data delineate rock properties only in the vicinity of the wellbore while geological and seismic data usually are not directly related to formation permeability. Pressure transient tests provide dynamic information about reservoir pressure which can be used to estimate rock property fields, fluid distributions, fluid samples for well productivity, and dynamic reservoir description. Therefore, such tests are very useful and hence are commonly used in the industry for exploration environments and for the general purposes of production and reservoir engineering. Conventional pressure transient tests have traditionally been used to estimate spatial distributions of the formation permeability based on the automatic history matching of the pressure data measured at the wells to an analytical or a simple numerical model selected to best represent the flow regimes observed from diagnostic plots. With the need of an improved spatial resolution of the reservoir parameters, “pixel (grid)” based approaches have been developed. In these approaches, the reservoir properties are discretized over an, often coarse, regular grid and the prior modeling of these approaches applies dense geological information. Our approach is similar; however, we discretize the reservoir parameters using the same grid as that used for the numerical simulation of the well test. This grid will be non-uniform with the greatest spatial resolution near the wells, where we may expect the well test to provide more information. In addition we propose that, since in the early characterization of the reservoir dense geological information may be unavailable, a local random field, determined by the variances and correlation lengths of the reservoir parameters, models the prior. To manage the large number of variables that this approach leads to, we employ an adjoint scheme to determine the gradient of the objective function. Hence, our approach enables one to find the most likely set of the reservoir parameters, along with our confidence in this solution and a means of producing further likely solutions. Crucially, we separate the influence of the prior from the influence of the pressure transient test measurements, which greatly improves the performance of the inversion procedure, and also ensures that the information provided by the prior is preserved.
Development of high power, high pressure, rep-rate, liquid dielectric switches (2004)

The University of Missouri-Columbia (UMC) is developing high power liquid dielectric switches intended to address future high power microwave (HPM) applications. Although requirements encompass a broad parameter space, the initial switch concept focuses on a 250-300kV output switch operated at 100 pps that will be scaled to 1MV. Failure to clear high electric field regions prior to the next charge cycle results in prefires, thereby limiting the maximum achievable repetition rate. Elevating the operating pressure, hence minimizing the bubble size and temporal properties, has alleviated this problem. This paper presents the design philosophy, modeling, and experimental results obtained from a single shot prototype operated in oil at pressures ranging from atmospheric pressure to greater than 13.8 MPa (2000 psi).
Multi-objective Ranking via Constrained Optimization (2020)

In this paper, we introduce an Augmented Lagrangian based method to incorporate the multiple objectives (MO) in a search ranking algorithm. Optimizing MOs is an essential and realistic requirement for building ranking models in production. The proposed method formulates MO in constrained optimization and solves the problem in the popular Boosting framework -- a novel contribution of our work. Furthermore, we propose a procedure to set up all optimization parameters in the problem. The experimental results show that the method successfully achieves MO criteria much more efficiently than existing methods.
Internal Language Model Estimation For Domain-Adaptive End-To-End Speech Recognition (2024)

The external language models (LM) integration remains a challenging task for end-to-end (E2E) automatic speech recognition (ASR) which has no clear division between acoustic and language models. In this work, we propose an internal LM estimation (ILME) method to facilitate a more effective integration of the external LM with all pre-existing E2E models with no additional model training, including the most popular recurrent neural network transducer (RNN-T) and attention-based encoder-decoder (AED) models. Trained with audio-transcript pairs, an E2E model implicitly learns an internal LM that characterizes the training data in the source domain. With ILME, the internal LM scores of an E2E model are estimated and subtracted from the log-linear interpolation between the scores of the E2E model and the external LM. The internal LM scores are approximated as the output of an E2E model when eliminating its acoustic components. ILME can alleviate the domain mismatch between training and testing, or improve the multi-domain E2E ASR. Experimented with 30K-hour trained RNN-T and AED models, ILME achieves up to 15.5% and 6.8% relative word error rate reductions from Shallow Fusion on out-of-domain LibriSpeech and in-domain Microsoft production test sets, respectively.
Digital Anti-Windup PI Controllers for Variable-Speed Motor Drives Using FPGA and Stochastic Theory (2006)

The windup phenomenon occurs when the output of a proportional-integral (PI) controller is saturated, which results in performance degradation or even instability. In this letter, three new anti-windup algorithms are proposed for a digital PI-speed controller to improve the control performance of variable-speed motor drives. These designs are implemented in a field programmable gate array (FPGA) device and stochastic theory is employed to enhance the computational capability of FPGA. Compared with conventional digital anti-windup techniques, the proposed methods offer several advantages: large dynamic range, easy digital design, minimal scaling of digital circuits, reconfigurability, and direct hardware implementation, while maintaining high control performance. The developed controllers are applied to the speed control of a field-oriented controlled induction motor drive using a hardware-in-the-loop test bench. The improved speed responses confirm the effectiveness of the proposed anti-windup schemes
ChemInform Abstract: ASYMMETRIC SYNTHESIS OF PSYCHOTOMIMETIC PHENYLISOPROPYLAMINES (1973)

Abstract Aus den substituierten Benzaldehyden (I) und Nitroäthan (II) entstehen die Nitropropene (III), die mit Eisen/HCI zu den Phenylacetonen (IV) reduziert werden.
Anticancer activity of gallic acid template‐based benzylidene indanone derivative as microtubule destabilizer (2016)

Benzylidene indanones have been designed and synthesized from gallic acid, a plant phenolic acid as possible anticancer agent. The best analogue of the series, that is, 3-(3',4',5'-trimethoxyphenyl)-4,5,6-trimethoxy-2-(4˝-nitrobenzylidene)-indan-1-one (8) exhibited potent cytotoxicity (IC<sub>50</sub> =3-10 μm) against several human cancer cell lines through microtubule destabilization (IC<sub>50</sub> =1.54 μm) after occupying colchicine-binding site of β-tubulin. In cell cycle analysis, compound 8 exerted G2/M phase arrest in both MCF-7 and MDA-MB-231 cells and induced apoptosis. It reduced 34.8% solid tumor in in vivo Ehrlich ascite carcinoma in Swiss albino mice at 30 mg/kg dose. In acute oral toxicity experiment, it was tolerable up to 300 mg/kg doses in Swiss albino mice. The lead compound 8 needs to be optimized for better activity.
Low intensity regimens with allogeneic hematopoietic stem cell transplantation as treatment of hematologic neoplasia. (2000)

Conventional myeloablative conditioning regimens for allografting rely on the use of toxic myeloablative and immunosuppressive therapies to achieve engraftment and control of hematologic neoplasias. Unfortunately, these regimens have resulted in substantial morbidity and mortality. Preclinical and pilot clinical studies have shown that conditioning regimens can be reduced in intensity (resulting in reduced morbidity and mortality) since stem cell allografts can create their own space in the host's bone marrow. Initial promising results with these attenuated conditioning regimens confirm that such an approach is feasible in patients with hematologic neoplasias and genetic diseases ineligible for conventional allografting because of age and/or organ toxicity. The combination of high-dose therapy/autografting followed by a low intensity conditioning regimen (Flu-Cy protocol) and donor mobilized hematopoietic stem cell infusion (mini-allografting) may ultimately be useful in advanced resistant hematologic neoplasia. Finally, these initial promising results with attenuated conditioning regimens have been achieved in transplants with HLA-identical siblings. In the future the main goal will be to explore non-toxic conditioning regimens in the context of transplants from related MHC-mismatched or unrelated MHC-matched donors by increasing the patient's immunosuppression.
Robustness of holographic optical traps against phase scaling errors (2005)

Complex three-dimensional patterns of multifunctional optical traps can be encoded in phase-only computer-generated holograms and projected with the holographic optical trapping technique. The trap-forming holograms, in turn, are implemented as diffractive optical elements whose phase transfer functions generally do not faithfully reproduce the design. We demonstrate that phase encoding errors reduce the overall intensities of the projected traps but, remarkably, do not affect their positions, relative intensities or mode structure. We exploit this robust performance to implement dual-color holographic optical tweezers with a single hologram.
Noninvasive Characterization of Locally Advanced Breast Cancer Using Textural Analysis of Quantitative Ultrasound Parametric Images (2014)

Textural characteristics of quantitative ultrasound spectral parametric maps provided discriminant information about different types of breast tumors. The use of texture features significantly improved the results of ultrasonic tumor characterization compared to conventional mean values. Thus, this study suggests that texture-based quantitative ultrasound analysis of in vivo breast tumors can provide complementary diagnostic information about tumor histologic characteristics.
Frailty assessment in older adults using upper-extremity function: index development (2017)

We present an objective, sensor-based frailty assessment tool based on physical frailty features including slowness, weakness, exhaustion (muscle fatigue), and flexibility of upper-extremity movements. Within the current study, the method was validated cross-sectionally using the Fried index as the gold standard and the UEF categorical index and UEF frailty score were developed for research purposes and potentially for future clinical use.
Brain iron levels in attention-deficit/hyperactivity disorder: A pilot MRI study (2011)

Low iron in the thalamus may contribute to ADHD pathophysiology.
<title>Rapid Confocal Sensor: a noncontact profilometer for fast 3D submicron inspection and metrology of large formats</title> (2001)

The Rapid Confocal Sensor delivers sub-micron depth and five-micron lateral resolutions over a 300-mm format. With some a priori knowledge of a sample, an analysis over the 300-mm field is completed in approximately 7 minutes. An overview of the optical system (sensor) is given. Application of this technology is made to rapid 3D process inspection of semiconductor samples, particularly die contact bumps. Results demonstrating performance from a commercially available system are presented.
Intent-Aware Contextual Recommendation System (2017)

Recommender systems take inputs from user history, use an internal ranking algorithm to generate results and possibly optimize this ranking based on feedback. However, often the recommender system is unaware of the actual intent of the user and simply provides recommendations dynamically without properly understanding the thought process of the user. An intelligent recommender system is not only useful for the user but also for businesses which want to learn the tendencies of their users. Finding out tendencies or intents of a user is a difficult problem to solve. Keeping this in mind, we sought out to create an intelligent system which will keep track of the user's activity on a web application as well as determine the intent of the user in each session. We devised a way to encode the user's activity through the sessions. Then, we have represented the information seen by the user in a high dimensional format which is reduced to lower dimensions using tensor factorization techniques. The aspect of intent awareness or intent scoring is dealt with at this stage. Finally, combining the user activity data with the contextual information gives the recommendation score. The final recommendations are then ranked using some filtering and collaborative recommendation techniques to show the top-k recommendations to the user. A provision for feedback is also envisioned in the current system which informs the model to update the various weights involved in the recommender system architecture. Our overall model aims to combine both frequency-based and context-based recommendation systems and quantify the intent of a user to provide better recommendations. We ran experiments on real-world timestamped user activity data, in the setting of recommending reports to the users of a business analytics tool/application and the results are better than the baselines. We also tuned certain aspects of our model to arrive at optimized results.
Designing the Model Human Cochlea: An Ambient Crossmodal Audio-Tactile Display (2009)

We present a model human cochlea (MHC), a sensory substitution technique and system that translates auditory information into vibrotactile stimuli using an ambient, tactile display. The model is used in the current study to translate music into discrete vibration signals displayed along the back of the body using a chair form factor. Voice coils facilitate the direct translation of auditory information onto the multiple discrete vibrotactile channels, which increases the potential to identify sections of the music that would otherwise be masked by the combined signal. One of the central goals of this work has been to improve accessibility to the emotional information expressed in music for users who are deaf or hard of hearing. To this end, we present our prototype of the MHC, two models of sensory substitution to support the translation of existing and new music, and some of the design challenges encountered throughout the development process. Results of a series of experiments conducted to assess the effectiveness of the MHC are discussed, followed by an overview of future directions for this research.
Reaction-Based Probes for Imaging Mobile Zinc in Live Cells and Tissues (2015)

Chelatable, or mobile, forms of zinc play critical signaling roles in numerous biological processes. Elucidating the action of mobile Zn(II) in complex biological environments requires sensitive tools for visualizing, tracking, and manipulating Zn(II) ions. A large toolbox of synthetic photoinduced electron transfer (PET)-based fluorescent Zn(II) sensors are available, but the applicability of many of these probes is limited by poor zinc sensitivity and low dynamic ranges owing to proton interference. We present here a general approach for acetylating PET-based probes containing a variety of fluorophores and zinc-binding units. The new sensors provide substantially improved zinc sensitivity and allow for incubation of live cells and tissue slices with nM probe concentrations, a significant improvement compared to the μM concentrations that are typically required for a measurable fluorescence signal. Acetylation effectively reduces or completely quenches background fluorescence in the metal-free sensor. Binding of Zn(II) selectively and quickly mediates hydrolytic cleavage of the acetyl groups, providing a large fluorescence response. An acetylated blue coumarin-based sensor was used to carry out detailed analyses of metal binding and metal-promoted acetyl hydrolysis. Acetylated benzoresorufin-based red-emitting probes with different zinc-binding sites are effective for sensing Zn(II) ions in live cells when applied at low concentrations (∼50–100 nM). We used green diacetylated Zinpyr1 (DA-ZP1) to image endogenous mobile Zn(II) in the molecular layer of mouse dorsal cochlear nucleus (DCN), confirming that acetylation is a suitable approach for preparing sensors that are highly specific and sensitive to mobile zinc in biological systems.
A New Intraocular Lens to Correct Corneal Coma (2007)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text Juan Tabernero and Pablo Artal, "A New Intraocular Lens to Correct Corneal Coma," Optics & Photonics News 18(12), 48-48 (2007) Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Moxifloxacin based axially swept wide-field fluorescence microscopy for high-speed imaging of conjunctival goblet cells (2020)

Goblet cells (GCs) in the conjunctiva are specialized epithelial cells producing mucins on the ocular surface. GCs play important roles in maintaining homeostasis of the ocular surface, and GC dysfunction is associated with various complications including dry eye diseases. Current GC examination methods, which are conjunctival impression cytology and confocal reflection microscopy, have limitations for routine examination. Fluorescence microscopy using moxifloxacin was recently introduced as a non-invasive and high-contrast imaging method, but further development is needed to be used for GC examination. Here we developed a non-invasive high-speed high-contrast GC imaging method, called moxifloxacin based axially swept wide-field fluorescence microscopy (MBAS-WFFM). This method acquired multiple fluorescence images with the axial sweeping of the focal plane to capture moxifloxacin labeled GCs on the tilted conjunctival surface in focus and generated all-in-focus images by combining the acquired images. The imaging field of view and imaging speed were increased to 1.6 mm × 1.6 mm and 30 fps. An image processing method was developed for the analysis of GC density. MBAS-WFFM was applied to alkali burn mouse models and detected GC damage and recovery via longitudinal imaging. MBAS-WFFM could assess the status of GCs rapidly and non-invasively. We anticipate MBAS-WFFM to be a starting point for non-invasive GC examination and the diagnosis of GC associated diseases. For example, MBAS-WFFM could be used to classify dry eye diseases into detail categories for effective treatment.
Post‐Translational Modification Profiling—a High‐Content Assay for Identifying Protein Modifications in Mammalian Cellular Systems (2014)

Protein microarrays are extremely useful for detecting substrates of phosphorylation, substrates of ubiquitylation, or other post-translational modifications. The ability to screen binding interactions as well as post-translational modifications of thousands of proteins at once has improved our ability to identify their targets. Utilizing such systems in combination with functional mammalian cell extracts that preserve enzymatic activity offers advantages in identifying semi-quantitative changes of these interactions in the context of specific cellular conditions. This unit provides a detailed procedure for setting up an extract-based activity assay for high content detection of protein post-translation modifications. It also provides basic guidelines for data analysis.
Bitstream parsing processor with emulation prevention bytes removal for H.264/AVC decoder (2013)

In this paper, we present a bitstream parsing processor including emulation prevention bytes (EPB) removal for H.264/AVC decoder. The proposed bitstream parsing processor includes several specific instructions for bitstream parsing. Furthermore, it employs double bitstream buffers to remove EPBs for sequential bitstream parsing. Experimental results show that the proposed bitstream parsing processor achieves a cycle reduction of 18%, compared with conventional EPB removing methods. In addition, the proposed method reduces the buffer size by a large amount to preserve a network abstraction layer (NAL) unit for the removal of EPBs.
An Enhanced Approach to Query Performance Prediction Using Reference Lists (2017)

We address the problem of query performance prediction (QPP) using reference lists. To date, no previous QPP method has been fully successful in generating and utilizing several pseudo-effective and pseudo-ineffective reference lists. In this work, we try to fill the gaps. We first propose a novel unsupervised approach for generating and selecting both types of reference lists using query perturbation and statistical inference. We then propose an enhanced QPP approach that utilizes both types of selected reference lists.