gebhart/patrepeval huggingface dataset:
Cryoanalgesia in Interventional Pain Management (2003)

Cryoneuroablation, also known as cryoanalgesia or cryoneurolysis, is a specialized technique for providing long-term pain relief in interventional pain management settings. Modern cryoanalgesia traces its roots to Cooper et al who developed in 1961, a device that used liquid nitrogen in a hollow tube that was insulated at the tip and achieved a temperature of - 190 degrees C. Lloyd et al proposed that cryoanalgesia was superior to other methods of peripheral nerve destruction, including alcohol neurolysis, phenol neurolysis, or surgical lesions. The application of cold to tissues creates a conduction block, similar to the effect of local anesthetics. Long-term pain relief from nerve freezing occurs because ice crystals create vascular damage to the vasonervorum, which produces severe endoneural edema. Cryoanalgesia disrupts the nerve structure and creates wallerian degeneration, but leaves the myelin sheath and endoneurium intact. Clinical applications of cryoanalgesia extend from its use in craniofacial pain secondary to trigeminal neuralgia, posterior auricular neuralgia, and glossopharyngeal neuralgia; chest wall pain with multiple conditions including post-thoracotomy neuromas, persistent pain after rib fractures, and post herpetic neuralgia in thoracic distribution; abdominal and pelvic pain secondary to ilioinguinal, iliohypogastric, genitofemoral, subgastric neuralgia; pudendal neuralgia; low back pain and lower extremity pain secondary to lumbar facet joint pathology, pseudosciatica, pain involving intraspinous ligament or supragluteal nerve, sacroiliac joint pain, cluneal neuralgia, obturator neuritis, and various types of peripheral neuropathy; and upper extremity pain secondary to suprascapular neuritis and other conditions of peripheral neuritis. This review describes historical concepts, physics and equipment, various clinical aspects, along with technical features, indications and contraindications, with clinical description of multiple conditions amenable to cryoanalgesia in interventional pain management settings.
Interleukin-6-dependent growth in a newly established plasmablastic lymphoma cell line and its therapeutic targets (2017)

Abstract Plasmablastic lymphoma (PBL) is a rare, highly aggressive subtype of non-Hodgkin lymphoma with plasma-cell differentiation occurring typically in immune-suppressed patients such as those with AIDS. This study reports the establishment and characterization of a new cell line, PBL-1, derived from a patient with AIDS-associated PBL. Morphological assessment of PBL-1 indicated plasma-cell differentiation with a CD20(−) CD38(+) CD138(+) immunophenotype and IgH/c-myc translocation. The cell line harbours Epstein-Barr virus, but a 52.7-kbp length defect was identified in its genome, resulting in no expression of viral microRNAs encoded in the BamHI-A Rightward Transcript region. Importantly, supplementation of culture medium with &gt;5 ng/mL of interleukin-6 (IL-6) was required for PBL-1 growth. Starvation of IL-6 or addition of tocilizumab, an inhibitory antibody for the IL-6 receptor, induced apoptosis of PBL-1. Transduction of IL-6 into PBL-1 by lentivirus vector induced autologous growth without IL-6 supplementation of culture medium. These data indicate the IL-6 dependency of PBL-1 for proliferation and survival. mTOR inhibitors induced cell death effectively, suggesting mTOR in the IL-6 signalling pathway is a potential therapeutic target for PBL. This established PBL cell line will be a useful tool to further understand the pathophysiology of PBL and aid the future development of PBL treatment.
4928Regional application of LNA-92a inhibits development of heart failure in chronic myocardial ischemia (2018)

The heart responds to various mechanical stresses. However, it remains elusive whether this stress response coincides with spatial heterogeneity. Purpose: The purpose of the study is to investigate the spatial heterogeneity in the cardiomyocyte stress response at the single cell level in heart failure. Methods: Beta-type myosin heavy chain (Myh7) expressions were examined as a stress-induced marker in a murine pressure overload-induced heart failure model, in which 2 and 8 weeks after transverse aortic constriction surgery represent hypertrophy and heart failure stage, respectively. Single-cell RNA-seq (scRNA-seq) was conducted to assess the existence of heterogeneity of Myh7 expression. To analyze the spatial heterogeneity, immunostaining and single-molecule fluorescent in situ hybridization (smFISH) were performed and the images were automatically captured and quantified in unbiased fashion at the single cell level with a high content imaging system. Results: scRNA-seq for 142 single cardiomyocytes revealed an increased number of Myh7-expressing cardiomyocytes. The Myh7 expression levels in individual cells were also increased heterogeneously during heart failure progression. Our novel image-analysis pipeline, which allows us to automatically count and unbiasedly analyze spatial heterogeneity of various molecules, quantifying Myh7 expression levels in 21,0321,303 cardiomyocytes per heart section for immunostaining, and in 1,20474 cardiomyocytes for smFISH, demonstrated that the transcriptional Myh7 expression levels were increased and progressively heterogenous during heart failure, confirming the results of scRNA-seq. Interestingly, there was a layer-to-layer difference in Myh7 expression levels of hypertrophied left ventricle, in which the middle layer of the heart were the highest among all three layers. In addition, the quantification of cardiomyocyte cell area showed that Myh7 positive cardiomyocytes tend to be smaller than negative ones. Since mitochondria related-genes were inversely correlated with Myh7 expressions in scRNA-seq, the decrease of cell size in Myh7-positive cells may indicates the possible energy metabolism crisis.
New ensemble methods for evolving data streams (2009)

Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such data streams evolve over time, that is when concepts drift or change completely, is becoming one of the core issues. When tackling non-stationary concepts, ensembles of classifiers have several advantages over single classifier methods: they are easy to scale and parallelize, they can adapt to change quickly by pruning under-performing parts of the ensemble, and they therefore usually also generate more accurate concept descriptions. This paper proposes a new experimental data stream framework for studying concept drift, and two new variants of Bagging: ADWIN Bagging and Adaptive-Size Hoeffding Tree (ASHT) Bagging. Using the new experimental framework, an evaluation study on synthetic and real-world datasets comprising up to ten million examples shows that the new ensemble methods perform very well compared to several known methods.
Revision Strategies for Salvaging or Improving Failed Cylindrical Cages (1999)

All 20 cages failed because of surgical technique rather than an intrinsic defect in fusion cage technology. The factors associated with failure of the original insertion procedure were failure to achieve adequate distraction of the anulus fibrosis; undersized cages, especially when placed through the posterior interbody lumbar fusion approach; cerebrospinal fluid leakage or pseudomeningocele; Type 2 diabetes mellitus; the use of local bone graft rather than iliac crest inside the cage; anterior insertion in an excessively lateral position resulting in symptoms of a far lateral disc herniation; and failure to identify the spinal midline during an anterior approach.
Integrated structure- and ligand-basedin silicoapproach to predict inhibition of cytochrome P450 2D6 (2015)

We developed an original in silico approach for the prediction of CYP2D6 inhibition combining the knowledge of the protein structure and its dynamic behavior in response to the binding of various ligands and machine learning modeling. This approach includes structural information for CYP2D6 based on the available crystal structures and molecular dynamic simulations (MD) that we performed to take into account conformational changes of the binding site. We performed modeling using three learning algorithms--support vector machine, RandomForest and NaiveBayesian--and we constructed combined models based on topological information of known CYP2D6 inhibitors and predicted binding energies computed by docking on both X-ray and MD protein conformations. In addition, we identified three MD-derived structures that are capable all together to better discriminate inhibitors and non-inhibitors compared with individual CYP2D6 conformations, thus ensuring complementary ligand profiles. Inhibition models based on classical molecular descriptors and predicted binding energies were able to predict CYP2D6 inhibition with an accuracy of 78% on the training set and 75% on the external validation set.
Crystal Structure of 1,5-Dimethyl-benzodiazepin-2,4-dione (2005)

The single-crystal structure of 1,5-dimethylbenzodiazepin-2,4-dione (C11H12N2O2) was determined at room temperature. The compound is orthorhombic, Pnma with Z = 4; the molecule is symmetrical to the mirror. The unit cell dimensions are: a = 8.144(2)Å, b = 13.315(2)Å, c = 8.996(2)Å and V = 975.5(4)Å3. The R value is 0.043 for 781 observed reflections.
Compensation of Frequency Modulation to Amplitude Modulation Conversion in Regenerative Amplifier (2019)

This work deals with the compensation of FM-to-AM conversion induced by the spectral response of regenerative cavity. We show that it is possible to reduce amplitude modulations from 44% to 9% using an interference filter.
Supporting decision making in design creativity through requirements identification and evaluation (2023)

Product innovation, based on the identification and implementation of new solutions, is essential to keep a company competitive. However, the risk of failure of a new solution must be properly weighted during the decision-making in the design activity. This study proposes a method to evaluate a new design solution through the comparison with an old one to be substituted, and based on their requirements. In order to better evaluate the new solution, new requirements about its specific peculiarities are extracted from patents of similar solutions and considered in the evaluation. Requirements extraction is carried out automatically, through natural language processing, while the evaluation considers technical, marketing, and economic criteria. In particular, financial proceeds and patents investments were considered. The proposed method was applied in a real industrial case study were the substitution of carbon fiber heating mat over the copper heating mat was assessed. This study contributes to support creativity in innovation design by providing unknown requirements on which to work on the new product. In addition, it can stimulate the designer on this aim, by presenting the requirements along with new ideas, already implementing them in other fields/contexts that can act as sources of inspiration or creativity triggers.
Purification and characterization of 7α-hydroxy-4-cholesten-3-one 12α-hydroxylase (1992)

The isoform of cytochrome P450 that catalyzes the 12α-hydroxylation of 7α-hydroxy-4-cholesten-3-one, an intermediate in the conversion of cholesterol to cholic acid, was purified to homogeneity from rabbit liver microsomes. The extent of purification in the various steps was judged by an assay involving high performance liquid chromatography. The purified enzyme showed a single band on SDS-polyacrylamide gel electrophoresis (M r =50,000)
Unified Power Quality Conditioner with Energy Storage based on Active Transformer (2020)

This paper presents a Unified Power Quality Controller (UPQC) in an application with a Custom Power Active Transformer (CPAT); a power electronics integrated transformer which provides services to the grid through its shunt and series windings. Utilization of the active transformer has been previously proposed but its integration with energy storage has not been investigated yet. In this regard, shunt and series converters alongside an active transformer and a battery are converted into a more robust system that is able to perform in islanding operation and mitigate the variability of a Photovoltaic system. Simulations of the active transformer demonstrates its functionality of providing the required grid services.
Epoxyethers. V. The Reaction of Perbenzoic Acid with Vinyl Ethers (1954)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTEpoxyethers. V. The Reaction of Perbenzoic Acid with Vinyl EthersCalvin L. Stevens and James TazumaCite this: J. Am. Chem. Soc. 1954, 76, 3, 715–717Publication Date (Print):February 1, 1954Publication History Published online1 May 2002Published inissue 1 February 1954https://pubs.acs.org/doi/10.1021/ja01632a023https://doi.org/10.1021/ja01632a023research-articleACS PublicationsRequest reuse permissionsArticle Views335Altmetric-Citations35LEARN 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
Shc Family Expression in Neuroblastoma: High Expression of shcC Is Associated with a Poor Prognosis in Advanced Neuroblastoma (2005)

The biological features and prognosis of neuroblastoma, a neural crest-derived pediatric tumor, are closely associated with expression of the Trk receptor. Because the Shc family proteins (ShcA, ShcB, and ShcC) are adaptors for various receptors, including Trk receptors, and are regulators of neuronal cell development, we speculated that they may play a role in neuroblastoma. Therefore, in this study, we used semiquantitative reverse transcription-PCR to examine the expression of these three genes in 15 neuroblastoma cell lines, an all-trans-retinoic acid-treated neuroblastoma cell line, and 52 tumor samples. In neuroblastoma cell lines and tumor samples, shcA was ubiquitously and highly expressed. Little expression of shcA was observed. Also, shcB was hardly expressed in neuroblastoma cell lines, but its expression in RT-BM-1 cells was enhanced after all-trans-retinoic acid-induced differentiation, and it was highly expressed in low-stage tumors (P = 0.0095). This suggests that ShcB participates in cellular differentiation and may correlate with a favorable prognosis in neuroblastoma. Finally, the expression of shcC was observed in most of the neuroblastoma cell lines and in some stage 4 patients. Patients with a high expression of shcC had a very poor prognosis (P < 0.0001) and amplification of MYCN, and all died within 31 months after diagnosis. Therefore, ShcC seems to be associated with an aggressive tumor phenotype, perhaps by enhancing TrkB signals. Our results suggest that the expressions of shcB and shcC are important biological factors in neuroblastoma and are useful prognostic indicators.
Lyt og deltag! - Hörspielmacher Paul Plampers værker (2015)

In this paper, Vito Pinto presents some general theories about how to perceive radio plays by focusing on the different listening modes. He then relates these ideas to three exemplary works of the German Hörspielmacher Paul Plamper. Moreover, he concentrates on the particular staging of the voices and the evolvement of the spatiality therein as being the key factors for an understanding of the listener’s perceptive and participatory process and its aesthetic impact.
Additive Manufacturing of High-Entropy Alloys by Laser Processing (2016)

This contribution concentrates on the possibilities of additive manufacturing of high-entropy clad layers by laser processing. In particular, the effects of the laser surface processing parameters on the microstructure and hardness of high-entropy alloys (HEAs) were examined. AlCoCrFeNi alloys with different amounts of aluminum prepared by arc melting were investigated and compared with the laser beam remelted HEAs with the same composition. Attempts to form HEAs coatings with a direct laser deposition from the mixture of elemental powders were made for AlCoCrFeNi and AlCrFeNiTa composition. A strong influence of solidification rate on the amounts of face-centered cubic and body-centered cubic phase, their chemical composition, and spatial distribution was detected for two-phase AlCoCrFeNi HEAs. It is concluded that a high-power laser is a versatile tool to synthesize interesting HEAs with additive manufacturing processing. Critical issues are related to the rate of (re)solidification, the dilution with the substrate, powder efficiency during cladding, and differences in melting points of clad powders making additive manufacturing processing from a simple mixture of elemental powders a challenging approach.
Joint Multi-view Texture Super-resolution and Intrinsic Decomposition (2019)

International audience
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series (2020)

Irregularly sampled time series data arise naturally in many application domains including biology, ecology, climate science, astronomy, and health. Such data represent fundamental challenges to many classical models from machine learning and statistics due to the presence of non-uniform intervals between observations. However, there has been significant progress within the machine learning community over the last decade on developing specialized models and architectures for learning from irregularly sampled univariate and multivariate time series data. In this survey, we first describe several axes along which approaches to learning from irregularly sampled time series differ including what data representations they are based on, what modeling primitives they leverage to deal with the fundamental problem of irregular sampling, and what inference tasks they are designed to perform. We then survey the recent literature organized primarily along the axis of modeling primitives. We describe approaches based on temporal discretization, interpolation, recurrence, attention and structural invariance. We discuss similarities and differences between approaches and highlight primary strengths and weaknesses.
TRANSCRIPTIONAL DYNAMICS OF EARLY DEVELOPING TOMATO (SOLANUM LYCOPERSICUM L.) FRUIT BASED ON RNA-SEQ ANALYSIS (2019)

Tomato (Solanum lycopersicum L.) is one of the most popular vegetable species grown worldwide. Functional genomic analysis of genes in the early flower and fruit stages are the key factors for genetic enhancement of tomato fruits for increased yield and quality. In the current study, RNA-Seq datasets were generated for the Chico cultivar at six growth stages, 0, 3, 5, 7, 9 and 12 days after pollination (DAP). The computational analysis of transcriptomes and heat map showed close relationships among transcripts regulated at 3 and 5 DAP and at 7 and 9 DAP, whereas transcripts regulated at 12 DAP were more distant. Annotated transcripts and KEGG analysis showed that starch and sucrose pathway experienced the most dynamic changes resulting in the synthesis of several soluble sugars, e.g., sucrose, -D-fructose, -D-glucose, trehalose, maltose and 1,4--D-xylan. Enzymes
Optimal modular architectures for universal linear optics (2020)

We present modular and optimal architectures for implementing arbitrary discrete unitary transformations on light. These architectures are based on systematically combining smaller M-mode linear optical interferometers together to implement a larger N-mode transformation. Thus this work enables the implementation of large linear optical transformations using smaller modules that act on the spatial or the internal degrees of freedom of light such as polarization, time or orbital angular momentum. The architectures lead to a rectangular gate structure, which is optimal in the sense that realizing arbitrary transformations on these architectures needs a minimal number of optical elements and minimal circuit depth. Moreover, the rectangular structure ensures that each the different optical modes incur balanced optical losses, so the architectures promise substantially enhanced process fidelities as compared to existing schemes.
Multi-scale direct sequence ultra wide band communications (2009)

Multi-scale direct sequence ultra wide band (MS/DS-UWB) is a new multiple access technique for UWB communications. It utilizes the dyadic (i.e., with a power of two) scaled orthogonal wavelets spread by direct sequence codes creating dyadic scaled multi-band structure exposing the scalability of the spectrum. Services are assigned to different orthogonal sub-bands with respect to their data rates. Comparing to the conventional DS-UWB, increased pulse durations reduce the complexity of the conventional DS-UWB system. We show that the spectral structures of MS/DS-UWB using the four scales of Daubechies-5 and Daubechies-10 wavelets fit in to the FCC UWB mask. In terms of the probability of error performance over an asynchronous awgn channel, the proposed design promises better performances compared to a single band UWB design when multi-rate services are available.
F4/80 and the related adhesion‐GPCRs (2011)

The F4/80 monoclonal antibody was first reported in this journal 30 years ago (Eur. J. Immunol. 1981. 11: 805-815). F4/80 has become a widely used marker for monocytes and many, but not all, tissue macrophages in the mouse. F4/80 is a member of the EGF-TM7 family of leukocyte plasma membrane heptahelical molecules, which includes CD97 and EMR2. This Viewpoint summarises current knowledge of the expression, structure and functions of the EGF-TM7 family, as part of a larger family of tissue adhesion-GPCRs.
Three-dimensional ultrasound imaging system for prostate cancer diagnosis and treatment (1998)

Prostate cancer is the most commonly diagnosed cancer in men in North America. Although two-dimensional (2-D) transrectal ultrasound imaging is widely used for the evaluation of prostate disease, it suffers from limitations that limit its use in diagnosis and therapy of prostate cancer. The use of conventional ultrasound requires that the diagnosticians mentally integrate a series of 2-D images in order to develop an impression of the three-dimensional (3-D) anatomy, and to estimate the volume of the prostate. This approach depends of the expertise of the physician resulting in variability. We have developed a 3-D ultrasound imaging approach that overcomes this problem. In this paper, we describe a 3-D ultrasound imaging system for use in prostate imaging and report on its performance. The system consists of a conventional ultrasound machine, a microcomputer with a video frame grabber, and a custom-built assembly for rotating the ultrasound transducer. A typical scan of 100 2-D B-mode images takes 8 s. These images are then reconstructed into a 3-D image, which can be displayed and interactively manipulated using 3-D visualization software. We also show that manual planimetry of prostates in the 3-D images can be used to estimate volumes in vitro with an accuracy of 2.6%, and a precision of 2.5%; and in vivo with 5.1% intra-observer variability and 11.4% interobserver variability. Thus, 3-D ultrasound imaging overcomes some of the limitations of conventional imaging of the prostate, and has great potential as a tool in the diagnosis and treatment of prostate disease.