gebhart/patrepeval huggingface dataset:
cDNA clones coding for the β‐subunit of human liver alcohol dehydrogenase have differently sized 3'‐non‐coding regions (1986)

Three different size classes of cDNA clones coding for the beta 1-subunit of human alcohol dehydrogenase (ADH) were characterized from a human liver cDNA library. Clones were identified by hybridization with synthetic oligodeoxyribonucleotides. A total of 2530 nucleotides were determined, covering an ADH-coding region of 1122 nucleotides, a preceding 72-nucleotide segment and 3 types of 3'-non-coding region. The coding nucleotide sequence is in full agreement with the amino acid sequence of the beta 1-subunit. Of 8 clones identified, 6 had a short, 213-nucleotide 3'-non-coding region; 1 an intermediate, 590-nucleotide 3'-region; and 1 a long, 1330-nucleotide 3'-region. In addition, 2 unused polyadenylation signals were found. These results suggest that human liver beta-ADH mRNAs occur in several size classes, and that in addition to the consensus sequence AATAAA further signals are important for 3'-end formation.
Do We Care Enough About Racial Inequality? Reflections On The River Runs Dry, (2009)

In response to Kimberly West-Faulcon, The River Runs Dry: When Title VI Trumps State Anti–Affirmative Action Laws, 157 University of Pennsylvania Law Review 1075 (2009)
REMOVAL OF METHYLENE BLUE DYE USING COPPER OXIDE/CARBOXYMETHYL CELLULOSE NANOCOMPOSITE: KINETIC, EQUILIBRIUM AND THERMODYNAMIC STUDIES (2021)

International audience
Induction of Human β-Defensin 2 by the Probiotic<i>Escherichia coli</i>Nissle 1917 Is Mediated through Flagellin (2007)

Human beta-defensin 2 (hBD-2) is an inducible antimicrobial peptide synthesized by the epithelium to counteract bacterial adherence and invasion. Proinflammatory cytokines, as well as certain bacterial strains, have been identified as potent endogenous inducers. Recently, we have found that hBD-2 induction by probiotic Escherichia coli Nissle 1917 was mediated through NF-kappaB- and AP-1-dependent pathways. The aim of the present study was to identify the responsible bacterial factor. E. coli Nissle 1917 culture supernatant was found to be more potent than the pellet, indicating a soluble or shed factor. Chemical analysis demonstrated the factor to be heat resistant and proteinase digestible. Several E. coli Nissle 1917 deletion mutants were constructed and tested for their ability to induce hBD-2 expression in Caco-2 cells. Deletion mutants for flagellin specifically exhibited an impaired immunostimulatory capacity. Reinsertion of the flagellin gene restored the induction capacity to normal levels. Isolated flagellin from E. coli Nissle 1917 and from Salmonella enterica serovar Enteritidis induced hBD-2 mRNA significantly in contrast to the flagellin of the apathogenic E. coli strain ATCC 25922. H1 flagellin antiserum abrogated hBD-2 expression induced by flagellin as well as E. coli Nissle 1917 supernatant, confirming that flagellin is the major stimulatory factor of E. coli Nissle 1917.
Reperfusion therapy in acute ischemic stroke: dawn of a new era? (2018)

Following the success of recent endovascular trials, endovascular therapy has emerged as an exciting addition to the arsenal of clinical management of patients with acute ischemic stroke (AIS). In this paper, we present an extensive overview of intravenous and endovascular reperfusion strategies, recent advances in AIS neurointervention, limitations of various treatment paradigms, and provide insights on imaging-guided reperfusion therapies. A roadmap for imaging guided reperfusion treatment workflow in AIS is also proposed. Both systemic thrombolysis and endovascular treatment have been incorporated into the standard of care in stroke therapy. Further research on advanced imaging-based approaches to select appropriate patients, may widen the time-window for patient selection and would contribute immensely to early thrombolytic strategies, better recanalization rates, and improved clinical outcomes.
Long term response in a patient with neoplastic meningitis secondary to melanoma treated with131I-radiolabeled antichondroitin proteoglycan sulfate Mel-14 F(ab?)2 (2001)

Even with novel chemotherapeutic agents and external beam radiation therapy, the prognosis of neoplastic meningitis secondary to malignant melanoma is still dismal. The authors report a case study of a 46-year-old white female who presented with progressive hearing loss, severe headaches, nausea, vomiting, and a rapid decline in neurologic status. She was referred to Duke University Medical Center after conventional chemotherapy for malignant melanoma failed. She was enrolled in a Phase I trial of (131)I-labeled monoclonal antibody Mel-14 F(ab')(2) fragment administered intrathecally. Within a year after her treatment, she recovered, having a normal neurologic exam except for residual bilateral hearing loss. The authors discuss dosimetry, preclinical, and clinical studies conducted with Mel-14 F(ab')(2) and introduce a potentially promising therapy option in the treatment of neoplastic meningitis in patients with malignant melanoma. Currently, the patient remains neurologically normal except for a mild bilateral hearing loss more than 4 years after treatment and has no radiographic evidence of neoplastic meningitis.
Extending the Detection Range of Vision-Based Vehicular Instrumentation (2016)

In this paper, we present a novel vision-based detection system able to extend the detection range of vehicles or mobile robots. The proposed system is used to detect and track moving targets from near-to-far ranges and covers a wide range of more than 130 m without decreasing detection accuracy. Typical examples of targets include traffic signs, vehicles, animals, and pedestrians. In this paper, the detection and tracking of moving pedestrians from near-to-far ranges is investigated. The proposed system is composed of two identical cameras. The first camera is equipped with a short focal length lens to detect and track pedestrians in near-to-mid range, and the second camera with a long focal length lens is used to detect and track pedestrians in mid-to-far range. To synchronize the detection results of both cameras and to eliminate repeated measurements, two synchronization algorithms were developed. The tracking process is applied after the detection, and it is used to track and predict the future motion and direction of pedestrian. To prevent vehicle-target collisions, two algorithms that generate alert and danger warnings are developed. A mathematical model based on the fundamental physics of the camera and lens is developed to illustrate the feasibility of our work. Finally, we conducted many experiments in large open-air parking lots and on Ottawa roads to show the applicability of our system.
Online condition assessment of high-speed trains based on Bayesian forecasting approach and time series analysis (2018)

High-speed rail (HSR) has been in operation and development in many countries worldwide. The explosive growth of HSR has posed great challenges for operation safety and ride comfort. Among various technological demands on high-speed trains, vibration is an inevitable problem caused by rail/wheel imperfections, vehicle dynamics, and aerodynamic instability. Ride comfort is a key factor in evaluating the operational performance of high-speed trains. In this study, online monitoring data have been acquired from an in-service high-speed train for condition assessment. The measured dynamic response signals at the floor level of a train cabin are processed by the Sperling operator, in which the ride comfort index sequence is used to identify the train's operation condition. In addition, a novel technique that incorporates salient features of Bayesian inference and time series analysis is proposed for outlier detection and change detection. The Bayesian forecasting approach enables the prediction of conditional probabilities. By integrating the Bayesian forecasting approach with time series analysis, one-step forecasting probability density functions (PDFs) can be obtained before proceeding to the next observation. The change detection is conducted by comparing the current model and the alternative model (whose mean value is shifted by a prescribed offset) to determine which one can well fit the actual observation. When the comparison results indicate that the alternative model performs better, then a potential change is detected. If the current observation is a potential outlier or change, Bayes factor and cumulative Bayes factor are derived for further identification. A significant change, if identified, implies that there is a great alteration in the train operation performance due to defects. In this study, two illustrative cases are provided to demonstrate the performance of the proposed method for condition assessment of high-speed trains.
Purification and Characterization of Cyclodextrin Glucanotransferase from an Alkalophilic<i>Bacillus</i>Species and Transglycosylation at Alkaline pHs (1994)

Cyclodextrin glucanotransferase (1, 4-α-d-glucan 4-α-d-(l, 4-α-d-glucano)-transferase (cyclizing), EC 2.4.1.19, CGTase) from an alkalophilic Bacillus species was purified by starch adsorption and Q-Sepharose chromatography. The purified enzyme had cyclizing activity, transglycosylating (coupling) activity, and starch-hydrolyzing activity, and their pH-activity curves had a single peak (pH 5.5 as the optimum pH) with a broad shoulder at alkaline pHs.Transglycosylation to various saccharides and flavonoids at alkaline pH was more effective than that at neutral pH. Among flavonoids, those containing rutinose (diosmin and hesperidin) were transglycosylated more effectively than those containing neohesperidose (naringin and neohesperidin).
Low-Power, Low-Penalty, Flip-Chip Integrated, 10Gb/s Ring-Based 1V CMOS Photonics Transmitter (2013)

Modulation with 7.5dB transmitter penalty is demonstrated from a novel 1.5Vpp differential CMOS driver flip-chip integrated with a Si ring modulator, consuming 350fJ/bit from a single 1V supply at bit rates up to 10Gb/s.
The role of cell adhesion molecule in cancer progression and its application in cancer therapy. (2004)

Multiple and diverse cell adhesion molecules take part in intercellular and cell-extracellular matrix interactions of cancer. Cancer progression is a multi-step process in which some adhesion molecules play a pivotal role in the development of recurrent, invasive, and distant metastasis. A growing body of evidence indicates that alterations in the adhesion properties of neoplastic cells play a pivotal role in the development and progression of cancer. Loss of intercellular adhesion and the desquamation of cells from the underlying lamina propria allows malignant cells to escape from their site of origin, degrade the extracellular matrix, acquire a more motile and invasion phenotype, and finally, invade and metastasize. In addition to participating in tumor invasiveness and metastasis, adhesion molecules regulate or significantly contribute to a variety of functions including signal transduction, cell growth, differentiation, site-specific gene expression, morphogenesis, immunologic function, cell motility, wound healing, and inflammation. Cell adhesion molecule (CAM), a diverse system of transmembrane glycoproteins has been identified that mediates the cell-cell and cell-extracellular matrix adhesion and also serves as the receptor for different kinds of virus. We summarize recent progress regarding the role of CAM, particularly, immunoglobulin-CAMs and cadherins in the progression of cancer and discuss the potential application of CAMs in the development of cancer therapy mainly on urogenital cancer.
<i>Streptococcus pneumoniae</i>Infection Aggravates Experimental Autoimmune Encephalomyelitis via Toll-Like Receptor 2 (2006)

The course of autoimmune inflammatory diseases of the central nervous system (CNS) can be influenced by infections. Here we assessed the disease-modulating effects of the most frequent respiratory pathogen Streptococcus pneumonia on the course of experimental autoimmune encephalomyelitis (EAE). Mice were immunized with myelin oligodendrocyte glycoprotein 35-55 (MOG(35-55)) peptide, challenged intraperitoneally with live S. pneumoniae type 3, and then treated with ceftriaxone. EAE was monitored by a clinical score for 35 days after immunization. EAE was unaltered in mice infected with S. pneumoniae 2 days before and 21 days after the first MOG(35-55) injection but was more severe in animals infected 7 days after the first MOG(35-55) injection. The antigen-driven systemic T-cell response was unaltered, and the intraspinal Th1 cytokine mRNA concentrations at the peak of disease were unchanged. The composition of CNS-infiltrating cells and subsequent tissue destruction were only slightly increased after S. pneumoniae infection. In contrast, the serum levels of tumor necrosis factor alpha and interleukin-6 and spinal interleukin-6 levels were elevated, and the expression of major histocompatibility complex class II molecules, CD80, and CD86 on splenic dendritic cells were enhanced early after infection. Serum cytokine concentrations were not elevated, and EAE was not aggravated by S. pneumoniae infection in Toll-like receptor 2 (TLR2)-deficient mice. In conclusion, infection with S. pneumoniae worsens EAE probably by elevation of proinflammatory cytokines and activation of dendritic cells in the systemic circulation via TLR2 and cross talk through the blood-brain barrier.
Invariant NKT Cells Are Required for Antitumor Responses Induced by Host-Versus-Graft Responses (2010)

Based on clinical observations, we have previously shown in a murine model that recipient leukocyte infusion (RLI) induces a host-versus-graft reaction in mixed bone marrow chimeras and that rejection of donor cells leads to a specific antitumor response against recipient malignancies. This response is dependent on T cells and IFN-gamma. We investigated the role of NKT cells (NKTs) in this phenomenon. Depletion of recipient NK1.1(+) cells led to loss of an anti-tumor effect induced by RLI in mixed bone marrow chimeras. In recipients specifically lacking host invariant NKT cells (iNKTs), RLI did not induce an antitumor effect, indicating a critical role for recipient iNKTs. Conversely, specific activation of iNKTs enhanced the anti-tumor effect induced by RLI. Following RLI, recipient iNKTs, NK cells, dendritic cells (DCs), and CD8 T cells were activated. CD8 T cells were the major producers of IFN-gamma. Lack of recipient iNKTs resulted in failure of activation of NK cells and DCs by RLI. Our studies demonstrate a central role for iNKTs in promoting RLI-induced anti-tumor effects and suggest that this pathway involved promotion of the activation of recipient NK cells and DCs.
Structured LDPC Applied in IMT-Advanced System (2008)

Channel coding for IMT-ADVANCED system needs to support higher data throughput and transmission rate. Due to the inherent encoder/decoder parallel feature, low density parity check (LDPC) codes is more suitable for hardware implementation than turbo codes when the data throughput is higher than 100 Mbps. As one of the contributors to Wimax LDPC and 3GPP2 LDPC, ZTE has funded some experience in the design of LDPC codes for international standards. In this paper, we provide an complete channel coding scheme based on structured LDPC codes, which can not only provide flexible code rate and code size, but also support IR-HARQ. Our scheme includes matrix generation and encoding, rate matching (RM) and bit priority mapping (BPM) solutions. Simulation result shows the perfect performance for this coding scheme.
Multifunctional silica-coated iron oxide nanoparticles: a facile four-in-one system for in situ study of neural stem cell harvesting (2014)

Neural stem cells (NSCs), which generate the main phenotypes of the nervous system, are multipotent cells and are able to differentiate into multiple cell types via external stimuli from the environment. The extraction, modification and re-application of NSCs have thus attracted much attention and raised hopes for novel neural stem cell therapies and regenerative medicine. However, few studies have successfully identified the distribution of NSCs in a live brain and monitored the corresponding extraction processes both in vitro and in vivo. To address those difficulties, in this study multi-functional uniform nanoparticles comprising an iron oxide core and a functionalized silica shell (Fe(3)O(4)@SiO(2)(FITC)-CD133, FITC: a green emissive dye, CD133: anti-CD133 antibody) have been strategically designed and synthesized for use as probe nanocomposites that provide four-in-one functionality, i.e., magnetic agitation, dual imaging (both magnetic resonance and optical) and specific targeting. It is shown that these newly synthesized Fe(3)O(4)@SiO(2)(FITC)-CD133 particles have clearly demonstrated their versatility in various applications. (1) The magnetic core enables magnetic cell collection and T(2) magnetic resonance imaging. (2) The fluorescent FITC embedded in the silica framework enables optical imaging. (3) CD133 anchored on the outermost surface is demonstrated to be capable of targeting neural stem cells for cell collection and bimodal imaging.
Enhancing handwriting interfaces (1997)

This paper describes the overall structure of our on-going research to enhance handwriting-based interfaces. Our research consists of building infrastructures, advancing handwriting recognition technology, studying human interface and developing applications. Our goal is to provide consistent and creative human interfaces among a wide range of pen input devices such as PDA, desktop tablet and electronic whiteboard.
Preliminary trials of a specific gravity technique in the determination of early embryo growth potential (2015)

none.
Modeling of temperature-dependent resistance in micro- and nanopolycrystalline <inline-formula><math display="inline" overflow="scroll"><mrow><mi mathvariant="normal">V</mi><msub><mi mathvariant="normal">O</mi><mn>2</mn></msub></mrow></math></inline-formula> thin films with random resistor networks (2008)

Micro- and nanopolycrystalline VO2 thin films with hysteretic first-order metal-insulator transition were fabricated by the reactive ion-beam sputtering method. The phase transition temperatures of the micro- and nanopolycrystalline films are at 68 and 45 °C, respectively. Using the random-resistor-network model, the characteristics of hysteretic resistance versus temperature are simulated for these films. The modeling results are checked against the experimental measurements. There is satisfactory agreement between the calculated resistance-temperature trajectories and the measured major hysteresis loops for both micro- and nanopolycrystalline films over the whole temperature range from the low-temperature semiconductor behavior to the high-temperature metallic state, which gives strong support to the present approach.
What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations (2009)

Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category learning, the active selection problem is particularly complex: a single image will typically contain multiple object labels, and an annotator could provide multiple types of annotation (e.g., class labels, bounding boxes, segmentations), any of which would incur a variable amount of manual effort. We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking unlabeled and partially labeled images according to their expected “net worth” to an object recognition system. We develop a multi-label multiple-instance approach that accommodates multi-object images and a mixture of strong and weak labels. Since the annotation cost can vary depending on an image's complexity, we show how to improve the active selection by directly predicting the time required to segment an unlabeled image. Given a small initial pool of labeled data, the proposed method actively improves the category models with minimal manual intervention.
Building SNOMED CT Reference Sets for Use as Interface Terminologies (2009)

The SNOMED CT Clinical Terminology has been made available to the Australian health commu-nity as the clinical terminology to be used to standardise the collection of clinical data. Reference Sets are a mechanism to identify a specific subset of SNOMED CT concepts relevant to a particular medical domain. They also provide alternate organisation or navigation hierarchies. As such, they attempt to bridge the gap between a general-purpose reference terminology and an interface termi-nology. In this paper we describe the process of building a Reference Set that can be used to describe colonic pathologies and how that Reference Set can be used as an interface terminology in a spe-cific software system. Ideally the Reference Set will be generally useful for other applications, such as to support synoptic reporting. This would also help to meet the aim of recording clinical infor-mation in a standard vocabulary. The process described uses the Reference Set Editor in the Snapper Platform from the Australian e-Health Research Centre (AEHRC), which already supports the building of SNOMED CT extensions through a reverse mapping module. Pathology terms from a standard text on performing endoscop-