gebhart/patrepeval huggingface dataset:
Keratin hydrogels support the sustained release of bioactive ciprofloxacin (2011)

Keratins are naturally derived proteins that can be fabricated into several biomaterial forms including hydrogels. These materials are a potential polymeric system for several tissue engineering and regenerative medicine applications due to their ability to support cell attachment, proliferation, and migration. However, little is known regarding their ability to support sustained release of therapeutic agents. This report describes the use of keratin hydrogels for sustained release of the antibiotic ciprofloxacin, which may prove useful to traumatic injury applications that would benefit from materials promoting tissue regeneration while also preventing acute infection. Hydrogels were formed from keratins obtained by oxidative extraction and known as keratose. We found that keratose hydrogels released ~60% of loaded ciprofloxacin over the first 10 days and that continued release was detectable over the course of 3 weeks. Released ciprofloxacin was bioactive, inhibiting growth of Staphylococcus aureus for 23 days in vitro and for 2 weeks in a mouse subcutaneous model. The rate of ciprofloxacin release was highly correlated with degradation of the keratin hydrogel and not consistent with simple diffusion. Further experiments indicated that ciprofloxacin binds to keratose through electrostatic interactions. These studies demonstrate the specific use of keratose hydrogels for the release of antibiotic and the potential for the more general use of this material in tissue engineering and regenerative medicine applications.
Transient no light perception visual acuity after intracameral lidocaine injection (1997)

The use of intracameral lidocaine for augmenting analgesia during intraocular surgery is becoming increasingly popular. We report a case of complete visual loss after the use of intracameral lidocaine to repair a traumatic corneal graft dehiscence. Full visual recovery returned several hours after surgery, suggesting this medication's relative lack of retinal toxicity.
Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition (2020)

Past progress on neural models has proven that named entity recognition is no longer a problem if we have enough labeled data. However, collecting enough data and annotating them are labor-intensive, time-consuming, and expensive. In this paper, we decompose the sentence into two parts: entity and context, and rethink the relationship between them and model performance from a causal perspective. Based on this, we propose the Counterfactual Generator, which generates counterfactual examples by the interventions on the existing observational examples to enhance the original dataset. Experiments across three datasets show that our method improves the generalization ability of models under limited observational examples. Besides, we provide a theoretical foundation by using a structural causal model to explore the spurious correlations between input features and output labels. We investigate the causal effects of entity or context on model performance under both conditions: the non-augmented and the augmented. Interestingly, we find that the non-spurious correlations are more located in entity representation rather than context representation. As a result, our method eliminates part of the spurious correlations between context representation and output labels.
A simple method for the synthesis of hyaluronic acid coated magnetic nanoparticles for highly efficient cell labelling and in vivo imaging (2011)

Highly stable colloidal hyaluronic acid coated magnetic nano-particles were prepared via a ligand exchange method. These particles exhibited excellent cell labeling efficiencies and superior potential as MRI contrast agents, which are useful to target tumor cells expressing hyaluronic acid receptors such as CD44.
Adjustable bridge saddle (1981)

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 Abraham J. Wechter; Adjustable bridge saddle. J. Acoust. Soc. Am. 1 October 1981; 70 (4): 1204. https://doi.org/10.1121/1.386986 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 ContentAcoustical Society of AmericaThe Journal of the Acoustical Society of America Search Advanced Search |Citation Search
INOVASI PRODUK DAN JEJARING PADA USAHA KECIL: STUDI KASUS KERAJINAN PERAK KOTO GADANG (2022)

Penelitian ini dilakukan berdasarkan kenyataan bahwa banyak produk-produk potensial usaha kecil yang tidak berkembang meskipun sudah lama eksis. Mereka sudah menjadi legenda bagi daerah asal mereka, tetapi banyak dari mereka tidak mampu melakukan transformasi di konteks masa kini. Salah satu yang mengalami hal tersebut adalah industri kerajinan perak Koto Gadang di Sumatera Barat. Tujuan dari penelitian ini adalah untuk melihat efek dua konstruk terkait inovasi yang dapat meningkatkan kinerja usaha kecil, dalam hal ini usaha kecil kerajinan Perak Koto Gadang, yaitu inovasi produk dan jejaring. Penelitian ini menggunakan pendekatan kualitatif. Metode studi kasus digunakan untuk menangkap esensi dari inovasi produk dan jaringan di usaha kecil ini. Dalam penelitian ini terdapat enam produsen kerajinan perak yang dianalisis. Penelitian ini mengumpulkan dan menganalisis data dari tujuh orang yang merupakan pemilik dan manajer usaha mikro kecil dengan produk utama kerajinan perak di Koto Gadang. Ditemukan bahwa inovasi produk terutama diferensiasi dan penyesuaian target market dianggap penting dalam meningkatkan kinerja bisnis, sementara jaringan termasuk jaringan Minangkabau belum dimanfaatkan oleh beberapa partisipan. Hal ini dapat diartikan bahwa partisipan perlu menggunakan jaringan untuk mendukung implementasi inovasi mereka. Kata kunci: inovasi produk; jejaring; Koto Gadang; pendekatan kualitatif; usaha kecil
Commutation of SR motors (1993)

Commutation schemes for most common types of switched reluctance (SR) motors are presented. Commutation can be achieved using two- or three-positions sensors and a simple commutation logic in a similar fashion to brushless electronically commutated motors. The commutation logic can be easily housed on a programmable logic array (PLA) or similar device. Two-quadrant operation, usually with two position sensors with variable phase shift and dwell angles, can be tuned up to achieve optimum efficiency at low cost. Four-quadrant operation with multimode commutation schemes, such as normal, boost, longdwell, and brake, which cover most of the SR drive applications, can be easily implemented with simple logic control and feedback from low-resolution position sensors. The speed range can be increased beyond the limit reachable with pulse-width modulation (PWM). A 100% increase in the speed range can be easily obtained by switching modes.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Rate-compatible punctured low-density parity-check codes for ultra wide band systems (2005)

In this paper we treat rate-compatible punctured low-density parity-check (RCP-LDPC) codes. We show how a mother code can be efficiently punctured to achieve good performance over a wide range of rates and discuss the design of a mother code. While this approach can be applied to virtually any time-varying channel, we apply it to the ultra wide band (UWB) channel, e.g. 802.15.3a, and we show that RCP-LDPC codes perform well as compared to a selection of fixed rate unpunctured codes. They reduce the implementation complexity and enable the use of retransmission protocols based on incremental redundancy to increase the throughput
Fully wireless implementation of distributed beamforming on a software-defined radio platform (2012)

We describe the key ideas behind our implementation of distributed beamforming on a GNU-radio based software-defined radio platform. Distributed beamforming is a cooperative transmission scheme whereby a number of nodes in a wireless network organize themselves into a virtual antenna array and focus their transmission in the direction of the intended receiver, potentially achieving orders of magnitude improvements in energy efficiency. This technique has been extensively studied over the past decade and its practical feasibility has been demonstrated in multiple experimental prototypes. Our contributions in the work reported in this paper are three-fold: (a) the first ever all-wireless implementation of distributed beamforming without any secondary wired channels for clock distribution or channel feedback, (b) a novel digital baseband approach to synchronization of high frequency RF signals that requires no hardware modifications, and (c) an implementation of distributed beamforming on a standard, open platform that allows easy reuse and extension. We describe the design of our system in detail, present some initial results and discuss future directions for this work.
Efficient Synchronization Primitives for GPUs (2011)

In this paper, we revisit the design of synchronization primitives---specifically barriers, mutexes, and semaphores---and how they apply to the GPU. Previous implementations are insufficient due to the discrepancies in hardware and programming model of the GPU and CPU. We create new implementations in CUDA and analyze the performance of spinning on the GPU, as well as a method of sleeping on the GPU, by running a set of memory-system benchmarks on two of the most common GPUs in use, the Tesla- and Fermi-class GPUs from NVIDIA. From our results we define higher-level principles that are valid for generic many-core processors, the most important of which is to limit the number of atomic accesses required for a synchronization operation because atomic accesses are slower than regular memory accesses. We use the results of the benchmarks to critique existing synchronization algorithms and guide our new implementations, and then define an abstraction of GPUs to classify any GPU based on the behavior of the memory system. We use this abstraction to create suitable implementations of the primitives specifically targeting the GPU, and analyze the performance of these algorithms on Tesla and Fermi. We then predict performance on future GPUs based on characteristics of the abstraction. We also examine the roles of spin waiting and sleep waiting in each primitive and how their performance varies based on the machine abstraction, then give a set of guidelines for when each strategy is useful based on the characteristics of the GPU and expected contention.
The genes coding for A alpha-, B beta-, and gamma-chains of fibrinogen map to 4q2. (1984)

We used cloned cDNA probes for the A alpha-, B beta-, and gamma-chains of human fibrinogen and Southern blotting techniques to analyze DNA from a series of rodent X human somatic cell hybrids for the presence of specific fibrinogen-related sequences. Our results provide evidence for the assignment of the three genes for fibrinogen to chromosome 4. Moreover, by direct gene-dosage determination in two patients with chromosome 4 unbalanced rearrangements, we refined the regional chromosomal assignment to 4q2, thus suggesting that these three genes whose expression is coordinately regulated are closely linked.
Micro-machined planar field asymmetric ion mobility spectrometer as a gas chromatographic detector (2002)

A planar high field asymmetric waveform ion mobility spectrometer (PFAIMS) with a micro-machined drift tube was characterized as a detector for capillary gas chromatography. The performance of the PFAIMS was compared directly to that of a flame ionization detector (FID) for the separation of a ketone mixture from butanone to decanone. Effluent from the column was continuously sampled by the detector and mobility scans could be obtained throughout the chromatographic analysis providing chemical inforrmation in mobility scans orthogonal to retention time. Limits of detection were approximately I ng for measurement of positive ions and were comparable or slightly better than those for the FID. Direct comparison of calibration curves for the FAIMS and the FID was possible over four orders of magnitude with a semi-log plot. The concentration dependence of the PFAIMS mobility scans showed the dependence between ion intensity and ion clustering, evident in other mobility spectrometers and atmospheric pressure ionization technologies. Ions were identified using mass spectrometry as the protonated monomer and the proton bound dimer of the ketones. Residence time for column effluent in the PFAIMS was calculated as approximately 1 ms and a 36% increase in extra-column broadening versus the FID occurred with the PFAIMS.
SIMULATIONS OF SCANNED FOCUSSED ULTRASOUND HYPERTHERMIA: THE EFFECTS OF SCANNING SPEED, SCANNING PATTERN AND MULTIPLE TILTED TRANSDUCERS (1987)

A transient three-dimensional simulation program was developed to study the effects of scanning speed, scanning pattern, blood perfusion, transducer choice and multiple tilted transducers with overlapping foci during scanned focussed ultrasound hyperthermia. The results showed that (1) the temperature fluctuations increase linearly with decreasing scanning speed, (2) the temperature fluctuations are a weak, increasingly exponential function of the blood perfusion rate, and (3) that the largest temperature fluctuation is always located at the acoustical focal depth on the scan path independently of focal plane depth. Simulations using multiple scan paths showed that relatively uniform average temperature distributions can be achieved at the focal zone as long as the spacing between the concentric scans was not greater than the diameter of the focus of the power field. Finally, the results showed that using multiple tilted transducers with overlapping foci, increased focussing can be obtained at the focal depth.
TAS0728, A Covalent-binding, HER2-selective Kinase Inhibitor Shows Potent Antitumor Activity in Preclinical Models (2019)

Activated HER2 is a promising therapeutic target for various cancers. Although several reports have described HER2 inhibitors in development, no covalent-binding inhibitor selective for HER2 has been reported. Here, we report a novel compound TAS0728 that covalently binds to HER2 at C805 and selectively inhibits its kinase activity. Once TAS0728 bound to HER2 kinase, the inhibitory activity was not affected by a high ATP concentration. A kinome-wide biochemical panel and cellular assays established that TAS0728 possesses high specificity for HER2 over wild-type EGFR. Cellular pharmacodynamics assays using MCF10A cells engineered to express various mutated <i>HER2</i> genes revealed that TAS0728 potently inhibited the phosphorylation of mutated HER2 and wild-type HER2. Furthermore, TAS0728 exhibited robust and sustained inhibition of the phosphorylation of HER2, HER3, and downstream effectors, thereby inducing apoptosis of HER2-amplified breast cancer cells and in tumor tissues of a xenograft model. TAS0728 induced tumor regression in mouse xenograft models bearing HER2 signal-dependent tumors and exhibited a survival benefit without any evident toxicity in a peritoneal dissemination mouse model bearing HER2-driven cancer cells. Taken together, our results demonstrated that TAS0728 may offer a promising therapeutic option with improved efficacy as compared with current HER2 inhibitors for HER2-activated cancers. Assessment of TAS0728 in ongoing clinical trials is awaited (NCT03410927).
Quantification of Liquid Crystal Concentrations in Periodically Stratified Polymer-Dispersed Liquid Crystal Films by Dynamic Secondary Ion Mass Spectrometry and Multivariate Statistical Analysis (2007)

Liquid crystal (LC) concentrations in stratified holographic polymer-dispersed liquid crystal (PDLC) films have been quantified from depth profiles obtained by time-of-flight secondary ion mass spectrometry (SIMS). The volatile nature of the LCs was hindered during SIMS analysis by capping the PDLC samples with poly(vinyl alcohol) and cooling to cryogenic temperatures. It remains difficult to gain quantitative results from SIMS analysis due to matrix effects yielding complex SIMS fingerprint spectra. With the multivariate statistical method discriminant function analysis the LC contents in the stratified holographic PDLC films were quantified. The concentration of the LC-rich layers was determined to be 32.9 ± 3.4 wt % LC, and for the polymer-rich layers it was 28.8 ± 2.7 wt % LC. The low concentration difference was supported by imaging analysis and modeling results.
Dynamic Proofs of Retrievability from Chameleon-Hashes (2013)

Proofs of retrievability (POR) are interactive protocols that allow a verifier to check the consistent existence and availability of data residing at a potentially untrusted storage provider, e.g., a cloud. While most POR protocols strictly refer to static files, i.e., content that is read-only, dynamic PORs shall achieve the same security guarantees (existence, consistency and the possibility to retrieve the data) for content that is subject to an unlimited number of (legitimate) modifications. This work discusses how to construct such a dynamic proof of retrievability from chameleon hashes (trapdoor commitments). Like standard POR constructions, the presented scheme is sentinel-based and does audit queries via spot checking mechanism. Unlike previous schemes, however, a-posteriori insertions of new sentinels throughout the lifetime of the file is supported. This novel feature is apparently absent in any other POR scheme in the literature. Moreover, the system is designed for compatibility with XML structured data files.
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models (2017)

Deep generative neural networks have proven effective at both conditional and unconditional modeling of complex data distributions. Conditional generation enables interactive control, but creating new controls often requires expensive retraining. In this paper, we develop a method to condition generation without retraining the model. By post-hoc learning latent constraints, value functions that identify regions in latent space that generate outputs with desired attributes, we can conditionally sample from these regions with gradient-based optimization or amortized actor functions. Combining attribute constraints with a universal "realism" constraint, which enforces similarity to the data distribution, we generate realistic conditional images from an unconditional variational autoencoder. Further, using gradient-based optimization, we demonstrate identity-preserving transformations that make the minimal adjustment in latent space to modify the attributes of an image. Finally, with discrete sequences of musical notes, we demonstrate zero-shot conditional generation, learning latent constraints in the absence of labeled data or a differentiable reward function. Code with dedicated cloud instance has been made publicly available (https://goo.gl/STGMGx).
Fast on-Site Visual Detection of Active Ricin Using a Combination of Highly Efficient Dual-Recognition Affinity Magnetic Enrichment and a Specific Gold Nanoparticle Probe (2017)

Ricin, a highly toxic protein, is a controlled substance by both the Chemical Weapons Convention (CWC) and the Biological Weapons Convention (BWC). Therefore, fast precaution of potential ricin toxin plays an important role in national security and public safety. Herein, a simple, sensitive, and accurate visual detection of active ricin in complex samples is presented by combining magnetic affinity enrichment with a specific gold nanoparticle (AuNP) probe. In the first step, a dual-recognition magnetic absorbent was fabricated by simultaneously incorporating two different affinity ligands (concanavalin A and galactosamine) on low-foul polymer brushes grafted magnetic beads, which showed remarkable multivalent synergy binding capacity for ricin even under complex interfering environments. Subsequently, a homoadenine-constituted oligodeoxynucleotide named poly(21dA) was conjugated to AuNPs (the poly(21dA)-AuNPs), which served as a specific depurination substrate of active ricin. Coralyne can trigger the intact poly(21dA)-AuNPs aggregate by forming a non-Watson-Crick homoadenine/coralyne complex, but the poly(21dA)-AuNPs after reacting with active ricin failed to form this complex due to the loss of adenines. Based on these facts, active ricin can be detected as low as 12.5 ng mL<sup>-1</sup> with the naked eyes. This detection strategy could be well-applied in various ricin-spiked complex matrices. The features such as ready operation, facile readout, and easy accessibility make the assay a better choice for fast on-site active ricin detection.
Simulating multiple scattering in hair using a photon mapping approach (2006)

Simulating multiple scattering correctly is important for accurate rendering of hair. However, a volume of hair is a difficult scene to simulate because scattering from an individual fiber is very structured and forward directed, and because the radiance distributions that arise from many such scattering events remain quite directional. For these reasons, previous methods cannot compute accurate images substantially faster than Monte Carlo path tracing.This paper proposes a new physically accurate method for rendering hair that is based on previous volumetric photon mapping methods. The first pass generates a photon map by tracing particles through the hair geometry, depositing them along paths rather than at scattering events. The second pass ray traces the hair, computing direct illumination and looking up indirect radiance in the photon map. Photons are stored and looked up in 5D position-direction space to allow for the very directional radiance distributions that occur in hair. Together with a new radiance caching method for fibers, our method simulates difficult scattering problems in hair efficiently and with low noise.The new algorithm is validated against path tracing and also compared with a photograph of light scattering in real hair.
How to Grow a Mind: Statistics, Structure, and Abstraction (2011)

In coming to understand the world-in learning concepts, acquiring language, and grasping causal relations-our minds make inferences that appear to go far beyond the data available. How do we do it? This review describes recent approaches to reverse-engineering human learning and cognitive development and, in parallel, engineering more humanlike machine learning systems. Computational models that perform probabilistic inference over hierarchies of flexibly structured representations can address some of the deepest questions about the nature and origins of human thought: How does abstract knowledge guide learning and reasoning from sparse data? What forms does our knowledge take, across different domains and tasks? And how is that abstract knowledge itself acquired?