gebhart/patrepeval huggingface dataset:
TTC STREAMLINES M/W PLANNING (2002)

Toronto Transit Commission employs the latest generation maintenance or way planning software to keep up with the needs of its 85 miles of heavily used track. It segregates track sections into six separate priority categories and integrates a number of databases to give personnel information on track and permit them to update records as needed. The software also includes a track inspection and work order system and a maintenance and program work reporting database. Personnel have experienced overall ease of acceptance thanks to highly graphical interfaces, and the ability to better organize information makes it easier to work with outside vendors and suppliers.
Exploiting Dynamic Resource Allocation for Parallel Data Processing in Cloud Computing Environment (2014)

The dynamic resource allocation in cloud computing has attracted attention of the research community in the last few years. Many researchers around the world have come up with new ways of facing this challenge. Number of Cloud provider companies has started to include frameworks for parallel data processing in their product which making it easy for customers to access these services and to deploy their programs. The processing frameworks which are currently used have been designed for static and homogeneous cluster setups. So the allocated resources may be inadequate for large parts of the submitted tasks and unnecessarily increase processing cost and time. Again due to opaque nature of cloud, static allocation of resources is possible, but vice-versa in dynamic situations. The proposed new Generic data processing framework is intended to explicitly exploit the dynamic resource allocation in cloud for task scheduling and execution. Experimental result shows that our approach outperforms existing scenario. The performance gain over existing system i.e. Nephele by proposed approach is found average 45% in terms of execution time of number of tasks.
Enhancing responsiveness of human jejunal enteroids to host and microbial stimuli (2020)

The intestinal epithelium is the primary interface between the host, the gut microbiome and its external environment. Since the intestinal epithelium contributes to innate immunity as a first line of defence, understanding how the epithelium responds to microbial and host stimuli is an important consideration in promoting homeostasis. Human intestinal enteroids (HIEs) are primary epithelial cell cultures that can provide insights into the biology of the intestinal epithelium and innate immune responses. One potential limitation of using HIEs for innate immune studies is the relative lack of responsiveness to factors that stimulate epithelial cytokine production. We report technical refinements, including removal of extracellular antioxidants, to facilitate enhanced cytokine responses in HIEs. Using this new method, we demonstrate that HIEs have distinct cytokine profiles in response to pro-inflammatory stimuli derived from host and microbial sources. Overall, we found that host-derived cytokines tumour necrosis factor and interleukin-1α stimulated reactive oxygen species and a large repertoire of cytokines. In contrast, microbial lipopolysaccharide, lipoteichoic acid and flagellin stimulated a limited number of cytokines and histamine did not stimulate the release of any cytokines. Importantly, HIE-secreted cytokines were functionally active, as denoted by the ability of human blood-derived neutrophil to migrate towards HIE supernatant containing interleukin-8. These findings establish that the immune responsiveness of HIEs depends on medium composition and stimuli. By refining the experimental culture medium and creating an environment conducive to epithelial cytokine responses by human enteroids, HIEs can facilitate exploration of many experimental questions pertaining to the role of the intestinal epithelium in innate immunity.
A New Unified Diffusion-Viscous Flow Model Based on Pore Level Studies of Tight Gas Formations (2011)

Abstract A new technique for numerical reconstruction of porous media is proposed that combines the flexibility and easy data conditioning of pixel-based multiple point statistics (MPS) along with robustness of object-base algorithms. Single phase gas flow simulations that consider slippage effects through a network of slots and micro-fractures extracted from petrographic work in tight porous media of the Nikanassin Group in the Western Canada Sedimentary Basin (WCSB) have been conducted. Furthermore, correlations between Klinkenberg slippage effect and absolute permeability have been developed. This leads to a new unified flow model in which Knudsen number acts implicitly as a flow regime indicator. A detailed understanding of fluid flow at the micro scale level in tight porous media is essential to establish and develop techniques for economic flow rate and recovery. Direct available imaging techniques cannot capture all the details of tight formations at the pore level. Choosing an appropriate equation for flow through a single element of the network is crucial; this equation must include geometry and other structural features that affect the flow as well as all variation of fluid properties with pressure. Disregarding these details in a single element of porous media can easily lead to flow misinterpretation at the macroscopic scale. Due to the wide flow-path-size distribution in tight porous media, a variety of flow regimes can exist in the equivalent network. Two distinct flow regimes, viscous flow and free molecular flow, are in either side of this flow regime spectrum. Since the nature of these two types of flow is categorically different, finding/adjusting a unified flow model is problematic. The complication stems from the fact that the viscosity concept misses its meaning as the flow regime changes from viscous to free molecular flow in which a diffusion-like flow mechanism dominates. For each specified flow regime, the appropriate equations for different geometries are studied. Also, different unified flow models available in the literature are critically investigated. Simulation of gas flow through the constructed network at different mean flow pressures leads to investigate the functionality of Klinkenberg factor with permeability of the porous media and pore-level structure. It is concluded that for tight formations the slippage effects is more pronounced and cannot be neglected in the flow equations.
Optimal design of linear arrays in a TDMA cellular system with Gaussian interference (2005)

Optimal design of a linear antenna array at the base station is investigated for the uplink of a TDMA cellular system. The problem is formulated as the maximization of the (ergodic or outage) capacity and entails the trade-off between diversity gain (large antenna spacing) and interference-rejection capability of the array (small antenna spacing). In many applications the positions of user and interferes are not known a priori at the time of the antenna deployment or the terminals are mobile. Therefore, the optimization is carried out not only for a fixed positions of users and interferers, but also by averaging aging the capacity over the positions of users and interferers within their cells. The approach to the solution of this problem is twofold. At first, an approximate analytical closed form expression for the capacity as a function of the antenna spacing is derived. Then, the results so obtained are corroborated by optimizing the exact capacity though an extensive search over the optimization domain.
Glutathione Peroxidase 3 (GPx3) Delivered by hiPSC-MSCs Ameliorated Hepatic IR Injuries Via Inhibition of Hepatic Senescence (2017)

Introduction: Down-regulation of GPx3 accelerated hepatic senescence, which further caused overwhelming inflammation and severe liver graft injury[1]. MSC derived from human induced pluripotent stem cells (hiPSC-MSC) has been developed as more efficient delivery vehicle with the property of injury tropism[2]. Here, we aimed to explore the suppressive role of GPx3 in hepatic IR injury using novel delivery system of hiPSC-MSCs. Methods: The mice IR injury model with partial hepatectomy was established. The novel delivery system, hiPSC-MSC-GPx3, was constructed. All the mice were segregated into three groups. hiPSC-MSC-GPx3, hiPSC-MSC-pCDH (vector control) or PBS were injected via portal vein after reperfusion. Liver injury was evaluated by histological and serological test. Hepatic apoptosis was detected by Tunel staining and remnant liver regeneration was assessed by Ki67 staining. The role of hepatic senescence in liver graft injury was evaluated in rat orthotopic liver transplantation model. The suppressive effect of GPx3 on hepatic senescence was examined in mice IR injury model and confirmed in vitro. Hepatic senescence was detected by SA-β-Gal and P16/ink4a staining. Results: GPx3 can be successfully delivered by hiPSC-MSCs system into liver tissues. Histological examination showed that hiPSC-MSC-GPx3 treatment significantly ameliorated hepatic IR injury post-operation. Significantly lower LDH (891.43±98.45 mU/mL, P<0.05) and AST (305.77±36.22 IU/L, P<0.01) were observed in hiPSC-MSC-GPx3 group post-operation compared with control groups. Apoptotic hepatocytes were significantly lower and the remnant liver regeneration was significantly more active in hiPSC-MSC-GPx3 group. In rat orthotopic liver transplantation model, more senescent hepatocytes were observed in small-for-size liver graft, in which liver injury was more severe. In mice IR injury model, hiPSC-MSC-GPx3 significantly inhibited hepatic senescence. In addition, rGPx3 inhibited cellular senescence of liver cell lines in a dose dependent manner. The suppressive effect of GPx3 on hepatic senescence was mediated via down-regulation of cyclin-dependent kinase inhibitor p21. Conclusion: GPx3 treatment using hiPSC-MSC as delivery vehicle ameliorated hepatic IR injury via inhibition of hepatic senescence.FigureReferences: 1. Qi et al, ILTS, 2013. 2. Qi et al, Oncotarget, 2014.
Insect Nuclear Receptors (2011)

The nuclear receptors (NRs) of metazoans are an ancient family of transcription factors defined by conserved DNA- and ligand-binding domains (DBDs and LBDs, respectively). The Drosophila melanogaster genome project revealed 18 canonical NRs (with DBDs and LBDs both present) and 3 receptors with the DBD only. Annotation of subsequently sequenced insect genomes revealed only minor deviations from this pattern. A renewed focus on functional analysis of the isoforms of insect NRs is therefore required to understand the diverse roles of these transcription factors in embryogenesis, metamorphosis, reproduction, and homeostasis. One insect NR, ecdysone receptor (EcR), functions as a receptor for the ecdysteroid molting hormones of insects. Researchers have developed nonsteroidal ecdysteroid agonists for EcR that disrupt molting and can be used as safe pesticides. An exciting new technology allows EcR to be used in chimeric, ligand-inducible gene-switch systems with applications in pest management and medicine.
An FPGA-accelerated testbed for hardware component development in MIMO wireless communication systems (2012)

FPGA-based prototyping is nowadays common practice in the functional verification of hardware components since it allows to cover a large number of test cases in a shorter time compared to HDL simulation. In addition, an FPGA-based emulator significantly accelerates the simulation with respect to bit-true software models. This speed-up is crucial when the statistical properties of a system have to be analyzed by Monte Carlo techniques. In this paper we consider a multiple-input multiple-output (MIMO) wireless communication system and show how integrating an FPGA accelerator in the software simulation framework is key to enable the development of complex hardware components in the receiver, from algorithm all the way to chip testing. In particular, we focus on a MIMO detector implementation based on the depth-first sphere decoding algorithm. The speed-up of up to 3 orders of magnitude achieved by hardware-accelerated simulation compared to a pure software testbed enables an extensive fixed-point exploration. Furthermore, it allows a unique characterization of the system communication performance and the MIMO detector run-time characteristics, which vary for different configuration parameters and operating scenarios and hence require a thorough investigation.
Thermochemical description of dielectric breakdown in high dielectric constant materials (2003)

A thermochemical/molecular model is developed for breakdown in high dielectric constant materials and the model suggests that a fundamental relationship exists between dielectric breakdown strength (Ebd) and dielectric constant (k). The model indicates that Ebd should show an approximate (k)−1/2 dependence over a wide range of high dielectric constant materials. The model also predicts that the field-acceleration parameter (γ), from time-dependent dielectric breakdown (TDDB) testing, should increase with dielectric constant. TDDB and Ebd data are presented for model support. The thermochemical model suggests that the very high local electric field (Lorentz-relation/Mossotti-field) in high-k dielectrics tends to distort/weaken the polar molecular bonds making them more susceptible to bond breakage by standard Boltzmann processes and/or by hole capture and thus lowers the breakdown strength.
Hydrogen bonding at grain surfaces and boundaries of nanodiamond films detected by high resolution electron energy loss spectroscopy (2007)

Hydrogenated nanodiamond films consisting of 300 and 10–30nm grain sizes were examined by high resolution electron energy loss spectroscopy. C–H stretching modes were identified at 350, 360, and 375meV. The mode at 375meV was enhanced in the case of 10–30nm grain size and it is stable up to in situ annealing to &amp;gt;800°C. Complete hydrogen desorption occurs upon annealing to 1000°C. Exposure of the nanodiamond film to atomic hydrogen results in a strong quenching of the 375meV C–H mode, most likely due to preferential etching of (sp2)-carbon-hydrogen at the surface and grain boundaries of the films.
Microfluidic approaches to the synthesis of complex polymeric particles (2007)

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2007.
Vaccination against PD-L1 with IO103 a Novel Immune Modulatory Vaccine in Basal Cell Carcinoma: A Phase IIa Study (2021)

Antitumor activity of immune checkpoint blocking antibodies against programmed death 1 (PD-1) in basal cell carcinoma (BCC) has been described. IO103 is a peptide vaccine against the major PD-1 ligand PD-L1. A phase IIa study of vaccination with IO103 and Montanide adjuvant was conducted in patients with resectable BCC (NCT03714529). Vaccinations were given six times every 2 weeks (q2w), followed by three vaccines q4w in responders. Primary endpoints were clinical responses of target tumors, change in target tumor size and immune responses to the vaccine. Secondary endpoint was safety. One tumor per patient was designated target tumor and biopsied twice during the course of vaccination. Synchronous non-target BCCs were not biopsied during vaccinations. Ten patients were vaccinated (six patients received six vaccinations and four patients received nine vaccinations). A partial response (PR) was seen in two target tumors. Two complete responses (CR) and one PR were observed in eight non-target tumors in four patients. No tumors progressed. Related adverse events were grade 1 and reversible. Immune responses against IO103 were induced in blood samples from nine of ten and skin-infiltrating lymphocytes from five of the nine patients. The regressions seen in non-target tumors suggest that IO103 may be effective against a subtype of BCC.
LIGHT MODULATION ENABLED BY LIQUID CRYSTAL MICROFLOWS (2011)

In a previous paper, 1 we proposed an optofluidic modulator based on peristaltic flow. A microchannel made of polydimethylsiloxane is filled with nematic liquid crystal molecules that align homeotropically in the steady state. Once we apply a periodic peristaltic flow through mechanical deformation of the channel, liquid crystal molecules tend to realign with the gradient velocity field and thus change their optical properties. In this paper, we focus on the channel deformation with the finite elements program Comsol ® , and we highlight the limitations in frequency of such optofluidic components.
Multi-Agent Collaboration for Building Construction (2020)

This paper details the algorithms involved and task planner for vehicle collaboration in building a structure. This is the problem defined in challenge 2 of Mohammed Bin Zayed International Robotic Challenge 2020 (MBZIRC). The work addresses various aspects of the challenge for Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicle (UGV). The challenge involves repeated pick and place operations using UAVs and UGV to build two structures of different shape and sizes. The algorithms are implemented using the Robot Operating System (ROS) framework and visualised in Gazebo. The whole developed architecture could readily be implemented in suitable hardware.
Electromagnetically powered electrolytic pump and thermo-responsive valve for drug delivery (2015)

A novel drug delivery device is presented, implementing an electrolytic pump and a thermo-responsive valve. The device is remotely operated by an AC electromagnetic field (40.5~58.5 mT, 450 kHz) that provides the power for the pump and the valve. It is suitable for long-term therapy applications, which use a solid drug in reservoir (SDR) approach and avoids unwanted drug diffusion. When the electromagnetic field is on, the electrolytic pump drives the drug towards the valve. The valve is made of a magnetic composite consisting of a smart hydrogel: Poly (N-Isopropylacrylamide) (PNIPAm) and iron powder. The heat generated in the iron powder via magnetic losses causes the PNIPAm to shrink, allowing the drug to flow past it. When the electromagnetic field is off, the PNIPAm swells, sealing the outlet. In the meantime, the bubbles generated by electrolysis recombine into water, causing a pressure reduction in the pumping chamber. This draws fresh fluid from outside the pump into the drug reservoir before the valve is fully sealed. The recombination can be accelerated by a platinum (Pt) coated catalytic reformer, allowing more fluid to flow back to the drug reservoir and dissolve the drug. By repeatedly turning on and off the magnetic field, the drug solution can be delivered cyclically.
GE-06 * IDENTIFICATION OF TARGETABLE MUTATIONS IN RARE PEDIATRIC BRAIN TUMORS BY CLINICAL WHOLE EXOME SEQUENCING (2015)

INTRODUCTION: Recent genomic studies have provided significant insight into the pathogenesis of pediatric central nervous system (CNS) tumors. However, little is known about the genetic events underlying rare CNS tumor types, which often present significant diagnostic and therapeutic challenges. The BASIC3 clinical exome sequencing study of children with newly-diagnosed tumors offers an opportunity to investigate the genetic basis of these rare CNS tumors. METHODS: Tumor and germline whole exome sequencing (WES) is performed in a CLIA-certified laboratory on fresh-frozen tumor and matched normal blood samples from children with newly-diagnosed CNS and non-CNS solid tumors. Additional research genomic studies, including transcriptome sequencing, are also conducted with specific consent. RESULTS: 67 children with CNS tumors have been enrolled on study to date, including several rare diagnoses. For example, WES of a malignant epithelioid glioneuronal tumor with two known BRAF alterations (BRAF-V600E and KIAA1549-BRAF fusion) also identified a nonsense mutation in TSC1 (p.Q829X), suggesting the theoretical utility of combined BRAF and mTOR inhibition for this patient. WES of a pilocytic astrocytoma with anaplasia with known KIAA1549-BRAF fusion revealed a pathogenic mutation in ACVR1 (p.R206H), which has been previously reported in high grade gliomas and is currently the target of investigational agents. CONCLUSIONS: Tumor WES has the potential to reveal somatic mutations of biological and clinical significance (for both diagnostics and therapeutics) that are not detectable by standard clinical testing in rare pediatric CNS tumors. Further molecular interrogation of both tumor types is ongoing, including evaluation of additional cases, complementary genomic studies including transcriptome sequencing and copy number arrays, and evaluation of intra-tumoral genetic heterogeneity. Orthotopic xenograft models and cell lines derived from the same primary CNS tumors are being generated to allow for additional biologic and pre-clinical studies as indicated.
STUDY AND PROGRAMMING ON THE EXPERIMENTAL LOAD SPECTRUM FOR THE FATIGUE OF MOTORCYCLE FRAME (2013)

A signal preprocessing method,combining trend elimination,smooth and filter,is proposed to process the load data of the motorcycle based on the collected data from a motorcycle frame moving on a real condition standard pavement.According to the work conditions and considering the load input mode of motorcycle fatigue test rig,the load spectrum is further programmed employing the two variable rain flow count method and transferring the measured data into equivalent multi-stage constant force excitation load.The stresses under the various loads in the spectrum are calculated using the LS-DYNA simulation.The fatigue life obtained from the programmed load spectrum is compared with that calculated from measured data using Miner theory,hence the accuracy and validation of the programmed load spectrum are verified.The programmed load spectrum is of multistage constant amplitude and universality,hence can be used as the load input for different kinds of fatigue test rig.
Topic extraction with multiple topic-words in broadcast-news speech (2002)

This paper reports on topic extraction in Japanese broadcast-news speech. We studied, using continuous speech recognition, the extraction of several topic-words from broadcast-news. A combination of multiple topic-words represents the content of the news. This is a more detailed and more flexible approach than using a single word or a single category. A topic extraction model shows the degree of relevance between each topic-word and each word in the article. For all words in an article, topic-words which have high total relevance score are extracted. We trained the topic extraction model with five years of newspapers, using the frequency of topic-words taken from headlines and words in articles. The degree of relevance between topic-words and words in articles is calculated on the basis of statistical measures, i.e., mutual information or the /spl chi//sup 2/-value. In topic extraction experiments for recognized broadcast-news speech, we extracted five topic-words from the 10-best hypotheses using a /spl chi//sup 2/-based model and found that 76.6% of them agreed with the topic-words chosen by subjects.