gebhart/patrepeval huggingface dataset:
Treatment of osteomyelitis with a biodegradable antibiotic implant. (1997)

A biodegradable antibiotic implant was developed and evaluated in a localized osteomyelitic rabbit model. The biodegradable antibiotic implant was made of polylactic acid and poly(DL-lactide):co-glycolide combined with vancomycin. Localized rabbit tibial osteomyelitis was developed with Staphylococcus aureus. Infected rabbits were divided into eight groups, depending on treatment with or without debridement, systemic antibiotics, or biodegradable beads. After 4 weeks of therapy, the radiographs were obtained of the involved bones, which also were cultured for concentrations of Staphylococcus aureus per gram of bone. Treatment with antibiotic containing polylactic acid and poly(DL-lactide):co-glycolide beads, with and without systemic vancomycin, resulted in bone colony forming unit levels of 10(2.93) and 10(2.84) colony forming units per gram bone, respectively. These bacterial concentrations were approximately 100 times lower than those observed for all other treatment groups. A biodegradable antibiotic bead may provide extended bactericidal concentrations of antibiotics for the time needed to completely treat the particular orthopaedic infection and does not require the surgery needed to remove the polymethylmethacrylate beads.
Information Embedding in Sonar by Modifications of Time-Frequency Properties (2015)

In the crowded underwater acoustic channels, the ability to recognize sonar transmissions based on an identifying signature is quite valuable. In this work, we propose an algorithm to embed a watermark in the time-frequency coefficients of a sonar waveform and produce a watermarked sonar. The watermark, which is a digital signature, is used to authenticate the sonar by verifying the source that is broadcasting the waveform. The embedding rule is modeled after spread spectrum modulation and driven by two secure keys. The first key consists of the spreading code that is unique to each source. The second key is an embedding mask used to select and additively modify the selected time-frequency cells of the sonar. The mask is chosen based on the frequency response of the acoustic channel (primarily, its time and frequency coherence) and the signal energy distribution in the time-frequency plane. The detector is modeled after a matched filter receiver performing a replica correlation with the spread watermark passed through the channel model. A successful detection needs access to both the spreading code and the embedding mask. Watermark detection performance is extensively evaluated based on range; watermark energy; watermark placement; ambient noise; number of multipaths; and other ocean parameters, such as depth, surface, and bottom models.
<title>Fully scalable video transmission using the SSM adaptation framework</title> (2003)

Recently a methodology for representation and adaptation of arbitrary scalable bit-streams in a fully content non-specific manner has been proposed on the basis of a universal model for all scalable bit-streams called Scalable Structured Meta-formats (SSM). According to this model, elementary scalable bit-streams are naturally organized in a symmetric multi-dimensional logical structure. The model parameters for a specific bit-stream along with information guiding decision-making among possible adaptation choices are represented in a binary or XML descriptor to accompany the bit-stream flowing downstream. The capabilities and preferences of receiving terminals flow upstream and are also specified in binary or XML form to represent constraints that guide adaptation. By interpreting the descriptor and the constraint specifications, a universal adaptation engine sitting on a network node can adapt the content appropriately to suit the specified needs and preferences of recipients, without knowledge of the specifics of the content, its encoding and/or encryption. In this framework, different adaptation infrastructures are no longer needed for different types of scalable media. In this work, we show how this framework can be used to adapt fully scalable video bit-streams, specifically ones obtained by the fully scalable MC-EZBC video coding system. MC-EZBC uses a 3-D subband/wavelet transform that exploits correlation by filtering along motion trajectories, to obtain a 3-dimensional scalable bit-stream combining temporal, spatial and SNR scalability in a compact bit-stream. Several adaptation use cases are presented to demonstrate the flexibility and advantages of a fully scalable video bit-stream when used in conjunction with a network adaptation engine for transmission.
Optically pumped cw semiconductor ring laser (1983)

We report the first optically pumped semiconductor laser operating in a ring cavity configuration. Output powers of more than 40 mW have been achieved from a CdS platelet optically pumped by an Ar+ laser at 476 nm. Tunability of the laser output was demonstrated from 493–502 nm using an intracavity prism and temperature tuning.
Learning Compact Face Representation (2014)

This paper addresses the problem of producing very compact representation of a face image for large-scale face search and analysis tasks. In tradition, the compactness of face representation is achieved by a dimension reduction step after representation extraction. However, the dimension reduction usually degrades the discriminative ability of the original representation drastically. In this paper, we present a deep learning framework which optimizes the compactness and discriminative ability jointly. The learnt representation can be as compact as 32 bit (same as the int32) and still produce highly discriminative performance (91.4% on LFW benchmark). Based on the extreme compactness, we show that traditional face analysis tasks (e.g. gender analysis) can be effectively solved by a Look-Up-Table approach given a large-scale face data set.
Solid‐Supported Diphosphitylating and Triphosphitylating Reagents for Nucleoside Modification (2008)

This unit describes procedures for synthesis of diphosphitylating and triphosphitylating reagents. The synthesized reagents are first immobilized on appropriate polymer-bound linkers. Rigid and sterically hindered polymer-bound diphosphitylating and triphosphitylating reagents are then reacted selectively with the 5'-hydroxyl group of nucleosides in the presence of excess nucleosides. Typical oxidation with tert-butyl hydroperoxide, deprotection, and final cleavage of the products from the resins using a trifluoroacetic acid cocktail afford various nucleoside 5'-O-diphosphate and nucleoside 5'-O-triphosphate analogs. The use of the diphosphitylating and polymer-bound diphosphitylating reagents in preparation of oligodeoxynucleotides containing diphosphodiester internucleotide bridges is also described. This solid-phase strategy allows for the synthesis of the phosphorylated compounds without the need for nucleoside phosphate precursors, protected nucleosides, or purification of intermediates.
Ferromagnetic Co-Ni-Al Shape Memory Alloys with &beta;+&gamma; Two-Phase Structure (2004)

The effects of the introduction of the γ (A1) phase into the β (B2) phase on the mechanical and shape memory properties in ferromagnetic Co-Ni-Al shape memory alloys with the β+γ two-phase structure were investigated by cold-rolling, tensile tests, and bending tests. The mechanical properties were found to be improved with an increase in the volume fraction of the γ phase, and Co-33 at%Ni-26 at%Al alloy with Vγ=36% exhibited excellent cold workability with a critical reduction ratio of 40%. Although the degree of shape recovery decreases with an increase in the volume fraction of the γ phase, it can be enhanced by training. Since two-phase β+γ Co-Ni-Al alloys have several advantages such as cost efficiency and workability, this alloy system is considered as being a new type of ferromagnetic shape memory alloys (FSMAs).
Comparison of Three Biochemical Tests for Rapid Detection of Extended-Spectrum-β-Lactamase-Producing Enterobacteriaceae (2015)

Enterobacterial isolates producing clavulanic-inhibited extended-spectrum β-lactamases (ESBLs) are increasingly spreading in the community and are often responsible for nosocomial infections. Rapid biochemical tests have been developed recently for their detection. Three tests, namely, the Rapid ESBL NDP test, the β-Lacta test, and the Rapid ESBL Screen, have been evaluated with a collection of 108 well-characterized strains, including wild-type strains, strains producing ESBLs, overexpressed cephalosporinases, and carbapenemases. The ESBL NDP test and the Rapid ESBL Screen (a copy of the ESBL NDP test) are aimed at detecting ESBL producers, while the β-Lacta test is aimed at detecting not only ESBL producers but also cephalosporinase and carbapenemase producers. The sensitivity and specificity for detecting ESBL producers (n = 60) were 95% and 100% for the Rapid ESBL NDP test, 80% and 87% (after 30 min) and 92% and 83% (after 2 h) for the Rapid ESBL Screen, and 88% and 71% for the β-Lacta test, respectively. Varied and time-consuming detection (up to 2 h) of ESBLs by the Rapid ESBL Screen and concomitant and varied detection of producers of AmpC and several types of carbapenemases correspond to significant shortcomings of using the Rapid Screen ESBL and β-Lacta tests, respectively.
Interaction Graphs for Object Importance Estimation in On-road Driving Videos (2020)

A vehicle driving along the road is surrounded by many objects, but only a small subset of them influence the driver's decisions and actions. Learning to estimate the importance of each object on the driver's real-time decision-making may help better understand human driving behavior and lead to more reliable autonomous driving systems. Solving this problem requires models that understand the interactions between the ego-vehicle and the surrounding objects. However, interactions among other objects in the scene can potentially also be very helpful, e.g., a pedestrian beginning to cross the road between the ego-vehicle and the car in front will make the car in front less important. We propose a novel framework for object importance estimation using an interaction graph, in which the features of each object node are updated by interacting with others through graph convolution. Experiments show that our model outperforms state-of-the-art baselines with much less input and pre-processing.
ANIQUE: an auditory model for single-ended speech quality estimation (2005)

In predicting subjective quality of speech signal degraded by telecommunication networks, conventional objective models require a reference source speech signal, which is applied as an input to the network, as well as the degraded speech. Non-intrusive estimation of speech quality is a challenging problem in that only the degraded speech signal is available. Non-intrusive estimation can be used in many real applications when source speech signal is not available. In this paper, we propose a new approach for non-intrusive speech quality estimation utilizing the temporal envelope representation of speech. The proposed auditory non-intrusive quality estimation (ANIQUE) model is based on the functional roles of human auditory systems and the characteristics of human articulation systems. Experimental evaluations on 35 different tests demonstrated the effectiveness of the proposed model.
Join query optimization techniques for complex event processing applications (2018)

Complex event processing (CEP) is a prominent technology used in many modern applications for monitoring and tracking events of interest in massive data streams. CEP engines inspect real-time information flows and attempt to detect combinations of occurrences matching predefined patterns. This is done by combining basic data items, also called "primitive events", according to a pattern detection plan, in a manner similar to the execution of multi-join queries in traditional data management systems. Despite this similarity, little work has been done on utilizing existing join optimization methods to improve the performance of CEP-based systems. In this paper, we provide the first theoretical and experimental study of the relationship between these two research areas. We formally prove that the CEP Plan Generation problem is equivalent to the Join Query Plan Generation problem for a restricted class of patterns and can be reduced to it for a considerably wider range of classes. This result implies the NP-completeness of the CEP Plan Generation problem. We further show how join query optimization techniques developed over the last decades can be adapted and utilized to provide practically efficient solutions for complex event detection. Our experiments demonstrate the superiority of these techniques over existing strategies for CEP optimization in terms of throughput, latency, and memory consumption.
A combinatorial immunotherapy for malignant brain tumors: D2C7 immunotoxin and immune checkpoint inhibitors. (2017)

102 Background: Immunotoxins can induce direct and rapid cytotoxicity by targeting specific tumor antigens. D2C7 is a unique recombinant immunotoxin targeting EGFRwt/EGFRvIII, two frequently overexpressed proteins on gliomas, and is currently being tested in a phase I/II clinical trial (NCT02303678) for recurrent malignant gliomas. Immunotoxins have also been shown to induce a secondary antitumor immune response via stimulation of cytotoxic T lymphocytes (CTLs). Immune checkpoint inhibitors, which have successfully treated several advanced tumors by promoting the antitumor function of CTLs, may further enhance this immunotoxin-induced antitumor response. Thus, we hypothesize that combining D2C7 with immune checkpoint inhibitors will promote long-term tumor regression due to primary cytotoxicity and enhanced anti-tumor immunity. Methods: We developed a CT2A-mD2C7 mouse glioma cell line with robust in vitro cytotoxicity of D2C7 (IC 50 = 0.47 ng/mL). In vivo anti-tumor efficacy was evaluated by intratumoral injection of D2C7 combined with intraperitoneal injection of anti-CTLA4 or anti-PD1 antibodies in single-side and bilateral subcutaneous (SC) CT2A-mD2C7 glioma models in C57BL/6 immunocompetent mice. Results: In the single-side model, D2C7 monotherapy and combinatorial therapy showed a significant tumor growth delay (P < 0.01). Complete regression ( ≥ 40%) was only observed in combinatorial therapy groups. All cured mice rejected the rechallenging of CT2A parental cells in the contralateral flank and the subsequent rechallenging of CT2A-mD2C7 cells in the brain. In the bilateral model, the larger right tumors were treated with D2C7/anti-CTLA4/anti-PD1 monotherapy or D2C7+anti-CTLA4/PD1 combinatorial therapy, while the left tumors were untreated by D2C7. In the groups where the right tumors were treated with monotherapy or combinatorial therapy, the left untreated tumors also grew much slower. Furthermore, the combinatorial therapy led to the most significantly delayed growth of the left untreated tumors (P < 0.05). Conclusions: Immune checkpoint inhibitors can enhance D2C7-induced anti-tumor immunity to achieve a synergistic long-term tumor regression.
A Multi-Center, Randomized, Double-Blind Placebo-Controlled Trial of Intravenous-Ibuprofen (IV-Ibuprofen) for Treatment of Pain in Post-Operative Orthopedic Adult Patients (2010)

Pre- and post-operative administration of IV-ibuprofen significantly reduced both pain and morphine use in orthopedic surgery patients in this prospective randomized placebo-controlled trial.
Isolation, characterization, and transcription of the gene encoding mouse mast cell protease 7. (1992)

A gene that encodes mouse mast cell protease (mMCP) 7 (also known as mouse mast cell tryptase 2) was isolated by genomic cloning with a cDNA that encodes mMCP-6, a tryptase in serosal mast cells. cDNAs encoding mMCP-7 were isolated from a bone-marrow-derived mast cell cDNA library. The mMCP-7 gene spans 2.3 kilobases and contains five exons rather than six, as found in the mMCP-6 and human mast cell tryptase I genes. Comparison of the 5' end of the transcript with the genomic sequence indicated that the region corresponding to the first intron in the mMCP-6 and human tryptase I genes is not spliced during transcription of mMCP-7 mRNA because of a point mutation at the intron 1 acceptor splice site; this results in a 5' untranslated region of 195 nucleotides, which is longer than that of any other known mast cell-specific transcript. mMCP-7 is 71-76% homologous with mMCP-6 and with dog and human mast cell tryptases, and it is the most acidic mast cell protease, with an overall net charge of -10. RNA blot analyses revealed that the mMCP-7 gene is transcribed in bone-marrow-derived mast cells but is not transcribed in mature serosal mast cells or in mucosal mast cell-enriched intestinal tissue of Trichinella spiralis-infected mice. Transcription of the mMCP-7 gene by differentiating bone-marrow-derived mast cells occurred within 1 week of bone-marrow culture but decreased dramatically after 3 weeks. Thus, the mMCP-7 gene displays a number of unusual structural characteristics and is distinctive in its transient and selective expression in immature mast cells maintained in interleukin 3-enriched medium.
Scalable Ultralow Latency Photonic Tensor Processor (2022)

We propose a photonic processor with the potential to compute deep neural network layer outputs in ∼ 10 ns. Our proof-of-concept experiments show low loss of classification accuracy on the MNIST dataset; we investigate fundamental throughput limits.
Planetary crater detection and registration using marked point processes, multiple birth and death algorithms, and region-based analysis (2017)

Because of the large variety of sensors and spacecraft collecting data, planetary science needs to integrate various multisensor and multitemporal images. These multiple data represent a precious asset, as they allow the study of target spectral responses and of changes in the surface structure. Because of their variety, they also require accurate and robust registration. A new crater detection algorithm, used to extract features to be integrated in an image registration framework, is presented. A marked point process-based method has been developed to model the spatial distribution of elliptical objects (i.e. the craters), and a birth-death Markov chain method, coupled with a region-based scheme aiming at computational efficiency, is used to find the optimal configuration fitting the image. The extracted features are exploited, together with a newly defined fitness function based on a modified Hausdorff distance, by an image registration algorithm whose architecture has been designed to minimize the computation time.
ANOSVA: a statistical method for detecting splice variation from expression data (2005)

The results are available at the supplementary information site https://bioinfo.affymetrix.com/Papers/ANOSVA/
Functional MR of the kidney (1991)

A bolus injection of Gadopentetate Dimeglumine with dynamic gradient echo MR imaging has allowed for the visualization of normal and abnormal renal function. Following an injection of gadopentetate dimeglumine, NMR T1 relaxation times obtained on serial collections of serum and urine at timed intervals were used to derive the glomerular filtration rate. The merger of dynamic contrast-enhanced MRI with an in vitro NMR-derived GFR provides for assessment of renal function without the use of radioactive agents.
Detection of rapidly exchanging compounds using on‐resonance frequency‐labeled exchange (FLEX) transfer (2012)

Frequency-labeled exchange transfer is a promising MRI technique for labeling and detecting exchanging protons of low-concentration solutes through the water signal. Early frequency-labeled exchange studies have used off-resonance excitation-based labeling schemes that are well suited to study rapidly exchanging protons or molecules far from the water resonance (e.g., water in paramagnetic contrast agents) or slowly exchanging protons close to the water resonance (e.g., some amide protons). However, off-resonance labeling is not efficient for rapidly exchanging protons close to water. Here, we show that a new frequency-labeled exchange labeling scheme with excitation pulses applied on the water resonance gives much higher exchange contrast for rapidly exchanging protons resonating close to the water resonance frequency. This labeling scheme is particularly suited for studying rapidly exchanging hydroxyl, amine, and imino protons in diamagnetic chemical exchange saturation transfer agents.
Formation of ultrathin, buried oxides in Si by O+ ion implantation (1996)

A technique is presented for forming a silicon-on-insulator material with an ultrathin buried oxide by utilizing the separation by implantation of oxygen or SIMOX method. It overcomes the problem of oxide continuity encountered during standard SIMOX processing when the O+-implanted dose is scaled down to decrease the thickness of the buried oxide below ∼0.1 μm. To promote the formation of ultrathin buried oxides (during post-implantation annealing), the implantation process was modified to produce a microstructure which promotes coalescence of the oxygen into a continuous layer. This was accomplished by slightly modifying the standard (≳500 °C) process so that the final increment of the dose is implanted near room temperature. This dose is chosen to selectively amorphize the region near the ion’s range which will yield a high-defective layer during subsequent annealing. It is shown that this layer, which can consist of polysilicon, provides a template or guide upon which the oxide forms. Buried oxides prepared in this way are shown to be continuous and without Si inclusions while the standard process yields a broken layer with severe discontinuities.
Spatial profiling of protein hydrophobicity: Native vs. Decoy structures (2003)

A recent study of 30 soluble globular protein structures revealed a quasi-invariant called the hydrophobic ratio. This invariant, which is the ratio of the distance at which the second order hydrophobic moment vanished to the distance at which the zero order moment vanished, was found to be 0.75 +/- 0.05 for 30 protein structures. This report first describes the results of the hydrophobic profiling of 5,387 non-redundant globular protein domains of the Protein Data Bank, which yields a hydrophobic ratio of 0.71 +/- 0.08. Then, a new hydrophobic score is defined based on the hydrophobic profiling to discriminate native-like proteins from decoy structures. This is tested on three widely used decoy sets, namely the Holm and Sander decoys, Park and Levitt decoys, and Baker decoys. Since the hydrophobic moment profiling characterizes a global feature and requires reasonably good statistics, this imposes a constraint upon the size of the protein structures in order to yield relatively smooth moment profiles. We show that even subject to the limitations of protein size (both Park & Levitt and Baker sets are small protein decoys), the hydrophobic moment profiling and hydrophobic score can provide useful information that should be complementary to the information provided by force field calculations.
Direct Synthesis of Propylene Oxide with CO<sub>2</sub> as the Solvent (2003)

The oxidant H 2 O 2 is generated in situ in this clean, one‐step conversion of propylene into propylene oxide. Contrary to expectations, the catalyst—palladium on titanium silicalite—does not require methanol for activity, and solvent‐based side reactions are avoided by conducting the reaction in CO 2 .