gebhart/patrepeval huggingface dataset:
The central amygdala controls learning in the lateral amygdala (2017)

SUMMARY Both the lateral and the central nuclei of the amygdala are required for adaptive behavioral responses to environmental cues predicting threats. While experience-driven synaptic plasticity in the lateral amygdala is thought to underlie the formation of association between a sensory stimulus and an ensuing threat, how the central amygdala participates in such learning process remains unclear. Here we show that a specific class of central amygdala neurons, the protein kinase C-δ-expressing neurons, is essential for the synaptic plasticity underlying learning in the lateral amygdala, as it is required for lateral amygdala neurons to respond to unconditioned stimulus, and furthermore carries information about the unconditioned stimulus to instruct learning. Our results uncover an amygdala functional organization that may play a key role in diverse learning processes.
Crawling wave optical coherence elastography (2016)

Elastography is a technique that measures and maps the local elastic property of biological tissues. Aiming for detection of micron-scale inclusions, various optical elastography, especially optical coherence elastography (OCE), techniques have been investigated over the past decade. The challenges of current optical elastography methods include the decrease in elastographic resolution as compared with its parent imaging resolution, the detection sensitivity and accuracy, and the cost of the overall system. Here we report for the first time, we believe, on an elastography technique-crawling wave optical coherence elastography (CRW-OCE)-which significantly lowers the requirements on the imaging speed and opens the path to high-resolution and high-sensitivity OCE at relatively low cost. Methods of crawling wave excitation, data acquisition, and crawling wave tracking are presented.
Ab initiocalcineurin inhibitor-based monotherapy immunosuppression after liver transplantation reduces the risk forPneumocystis jiroveciipneumonia (2009)

At the Tor Vergata University of Rome, ab initio calcineurin inhibitor-based monotherapy immunosuppression (IS) is the standard of treatment after liver transplantation (LT). As the net state of IS determines the onset of Pneumocystis jirovecii pneumonia (PCP), we hypothesized that, in the presence of weak impairment of the immune function, as determined by the above-mentioned IS, the host is not overexposed to the risk for PCP and consequently the specific anti-PCP prophylaxis is unnecessary. In a single-cohort descriptive study, we retrospectively investigated the incidence of PCP in 203 LT patients who did not receive anti-PCP prophylaxis because they were under monotherapy IS. The primary endpoint of the study was the incidence of PCP during the first 12 months following LT; secondary endpoints were the incidence of acute rejection requiring additional IS and of CMV infection. No cases of PCP were recorded. The incidence of CMV and acute rejection was 3.9% and 0.9%, respectively. Our data suggest that monotherapy IS after LT may nullify the risk for PCP even in the absence of any specific prophylaxis.
Three-dimensional osteogenic and chondrogenic systems to model osteochondral physiology and degenerative joint diseases (2014)

Tissue engineered constructs have the potential to function as in vitro pre-clinical models of normal tissue function and disease pathogenesis for drug screening and toxicity assessment. Effective high throughput assays demand minimal systems with clearly defined performance parameters. These systems must accurately model the structure and function of the human organs and their physiological response to different stimuli. Musculoskeletal tissues present unique challenges in this respect, as they are load-bearing, matrix-rich tissues whose functionality is intimately connected to the extracellular matrix and its organization. Of particular clinical importance is the osteochondral junction, the target tissue affected in degenerative joint diseases, such as osteoarthritis (OA), which consists of hyaline articular cartilage in close interaction with subchondral bone. In this review, we present an overview of currently available in vitro three-dimensional systems for bone and cartilage tissue engineering that mimic native physiology, and the utility and limitations of these systems. Specifically, we address the need to combine bone, cartilage and other tissues to form an interactive microphysiological system (MPS) to fully capture the biological complexity and mechanical functions of the osteochondral junction of the articular joint. The potential applications of three-dimensional MPSs for musculoskeletal biology and medicine are highlighted.
Supplementary Figure 5 from Dual-specific Chimeric Antigen Receptor T Cells and an Indirect Vaccine Eradicate a Variety of Large Solid Tumors in an Immunocompetent, Self-antigen Setting (2023)

&lt;p&gt;CARaMEL T cells persist in long term surviving mice.&lt;/p&gt;
Implementation of a MRAC for a Two Axis Direct Drive Robot Manipulator using a Digital Signal Processor (1988)

This paper is concerned with the digital implementation of a Model Reference Adaptive Control (MRAC) algorithm on a Texas Instrument TMS32010 Digital Signal Processor (DSP). The MRAC was designed to control a two axis direct drive SCARA type robot manipulator. The primary purpose of the adaptive controller is to compensate for the inertial variations due to changes in configurtion and payload. Experimental results presented clearly illustrate the need for adaptive control over conventional PID controller for the type of arm structure used in the experiments. Discussion on the use of DSP in controls is presented in terms of their capabilities and the influence their performance will have on the sampling time of digital control systems.
Analog Approximate-FFT 8/16-Beam Algorithms, Architectures and CMOS Circuits for 5G Beamforming MIMO Transceivers (2018)

Emerging millimeter-wave (mmW) wireless systems require beamforming and multiple-input multiple-output (MIMO) approaches in order to mitigate path loss, obstructions, and attenuation of the communication channel. Sharp mmW beams are essential for this purpose and must support baseband bandwidths of at least 1 GHz to facilitate higher system capacity. This paper explores a baseband multi-beamforming method based on the spatial Fourier transform. Approximate computing techniques are used to propose a low-complexity fast algorithm with sparse factorizations that neatly map to integer W/L ratios in CMOS current mirrors. The resulting approximate fast Fourier transform (FFT) can thus be efficiently realized using CMOS analog integrated circuits to generate multiple, parallel mmW beams in both transmit and receive modes. The paper proposes both 8and 16-point approximate-FFT algorithms together with circuit theory and design information for 65-nm CMOS implementations. Post-layout simulations of the 8-point circuit in Cadence Spectre provide well-defined mmW beam shapes, a baseband bandwidth of 2.7 GHz, a power consumption of 70 mW, and a dynamic range >42.2 dB. Preliminary experimental results confirm the basic functionality of the 8-beam circuit. Schematic-level analysis of the 16-beam I/Q version show worst-case and average side lobe levels of -10.2 dB and -12.2 dB at 1 GHz bandwidth, and -9.1 dB and -11.3 dB at 1.5 GHz bandwidth. The proposed multibeam architectures have the potential to reduce circuit area and power requirements while meeting the bandwidth requirements of emerging 5G baseband systems.
715 PB 397 EFFECT OF COATINGS ON FRESH ORANGE FLAVOR VOLATILES AND OTHER FACTORS UNDER PROLONGED STORAGE CONDITIONS (1994)

`Valencia' oranges were-treated with an experimental polysaccharide-based coating, a commercial shellac-based water wax, or were left uncoated. The fruit were stored at 16 or 21C with 95% RH. Samples were periodically analyzed for internal gases, flavor volatiles, water loss, and `Brix. Coated fruit had lower internal O 2 and higher CO 2 and ethylene levels as well as higher levels of many flavor volatiles (including ethanol) compared to uncoated. The differences were greatest for shellac-coated fruit at the higher storage temperature. No differences were found for °Brix. The shellac-coating gave the best weight-loss control and the most restricted gas exchange. The low gas permeability characteristic of this type of shellac coating may result in altered flavor for fruit held at 21C.
Experience in measuring backbone traffic variability (2002)

Understanding the variability of Internet traffic in backbone networks is essential to better plan and manage existing networks, as well as to design next generation networks. However, most traffic analyses that might be used to approach this problem are based on detailed packet or flow level measurements, which are usually not available throughout a large network. As a result there is a poor understanding of backbone traffic variability, and its impact on network operations (e.g. on capacity planning or traffic engineering).This paper introduces a metric for measuring backbone traffic variability that is grounded on simple but powerful traffic theory. What sets this metric apart, however, is that we present a method for making practical measurements of the metric using widely available SNMP traffic measurements. Furthermore, we use a novel method to overcome the major limitation of SNMP measurements -- that they only provide link statistics. The method, based on a "gravity model", derives an approximate traffic matrix from the SNMP data. In addition to simulations, we use more than 1 year's worth of SNMP data from an operational IP network of about 1000 nodes to test our methods. We also delve into the degree and sources of variability in real backbone traffic, providing insight into the true nature of traffic variability.
Polypyridyl complexes as electron transporting materials for inverted bulk heterojunction solar cells: the metal center effect (2016)

The fundamental science behind the design of organic photovoltaic (OPV) cells lies in the formation of energy level gradients for efficient charge separation and collection.
AEROSTABILES (2015)

Initiated as a research-creation project by professor and artist Nicolas Reeves, the Aerostabile project quickly expanded to include researchers and artists from a wide range of disciplines. Its current phase brings together four robotic and research-creation labs with various expertises in unstable and dynamic environments. The first group, under the direction of professor Inna Sharf, is based at the department of mechanical engineering at University McGill. It works on control and modeling of autonomous blimps for satellite emulation. The second group is headed by professor Philippe Giguere from University Laval. It focuses on localization systems for robots operating in unknown outdoor environments. The third group is also from McGill, but this time from the computer science department. Headed by professor Gregory Dudek, it investigates the challenges presented by autonomous underwater robots, and by their interactions with human divers. The last team is based at the UQAM school of design. It is headed by professor Nicolas Reeves and engineer David St-Onge. It works on installations and performances in digital and algorithmic arts, and on the impact of new medias and technologies on the fields of art, architecture and design. The Aerostabile project pushes the boundaries of engineering and art by proposing a close hybridization of the two disciplines. It redefines the human-robot interaction paradigm, working specifically on the new interfaces required by the specific nature and context of emerging robotic systems. Multidisciplinary approaches are required to seamlessly integrate aesthetics, grace and precision. Amongst the tools and strategies developed by the research team, one of the most important is the organization of regular meetings similar to art residencies, which are structured around the framework of engineering software and hardware integration workshops. During such meetings, which occur twice a year, the four groups work together with engineers and artists from different disciplines. These intense collaborative events happen in spaces large enough to fit at least two 225-cm floating robotic cubes called "Tryphons", the latest models of a series of flying automata developed by Reeves and St-Onge. Fruitful questions and discussions emerge from these residencies, leading to new questions and development axis both in art and engineering. Whenever possible, they happen in public spaces, allowing direct contact with all kinds of audiences and with inspiring media artists and creators-researchers. The specific constraints of out-of-the-lab environments raise new problematics for all engineers, while the encounter between different academic cultures influence the development priorities. At the end of our journey, on top of the engineering papers that will be published, we aim to produce the first hybrid performance involving four performers interacting with four fully autonomous aerobots.
Surrogate‐based model using auto‐encoder for optimising multi‐band antennas (2022)

Abstract This paper suggests an optimisation method to design multi‐band antenna using artificial neural networks. The proposed network, surrogate‐based model using auto‐encoder (SBM‐AE), is composed of two parts, ordinary neural network and auto‐encoder. First, the front neural network predicts the encoded antenna characteristics and then decodes the predicted data to obtain the antenna characteristics. After training the encoder to obtain a characteristic signature vector, the front neural network regresses only the characteristic signature vectors, reducing the complexity and number of parameters of the neural network. This not only reduces the training time but also significantly reduces the number of training data required. We confirm the effectiveness of the design method by designing a multi‐band antenna where the proposed SBM‐AE required 270 training data while the conventional neural network without auto‐encoder needed 1350 training data to achieve comparatively the same error rate.
Deep Classifiers-Based License Plate Detection, Localization and Recognition on GPU-Powered Mobile Platform (2017)

The realization of a deep neural architecture on a mobile platform is challenging, but can open up a number of possibilities for visual analysis applications. A neural network can be realized on a mobile platform by exploiting the computational power of the embedded GPU and simplifying the flow of a neural architecture trained on the desktop workstation or a GPU server. This paper presents an embedded platform-based Italian license plate detection and recognition system using deep neural classifiers. In this work, trained parameters of a highly precise automatic license plate recognition (ALPR) system are imported and used to replicate the same neural classifiers on a Nvidia Shield K1 tablet. A CUDA-based framework is used to realize these neural networks. The flow of the trained architecture is simplified to perform the license plate recognition in real-time. Results show that the tasks of plate and character detection and localization can be performed in real-time on a mobile platform by simplifying the flow of the trained architecture. However, the accuracy of the simplified architecture would be decreased accordingly.
Spatial coherence of forward-scattered light in a turbid medium (1999)

We study spatially coherent forward-scattered light propagating in a turbid medium of moderate optical depth (0-9 mean free paths). Coherent detection was achieved by using a tilted heterodyne geometry, which desensitizes coherent detection of the attenuated incident light. We show that the degree of spatial coherence is significantly higher for light scattered only once in comparison with that for multiply scattered light and that it approaches a small constant value for large numbers of scattering events.
Design, prototyping, and evaluation of a collapsible device for single-operator sheathing of ultrasound probes (2014)

Abstract. During interventional ultrasound-guided procedures, sterility is maintained by covering the transducer head and cord with a sterile sheath. The current sheathing technique is cumbersome, requires an assistant to complete, and poses a risk of tangling the probe cord and breaching the sterile barrier. This paper presents the design, proof-of-concept prototyping, and evaluation of a probe holder and cartridge-style, single-use applicator that enables faster, more reliable, single-user sheathing of ultrasound probes, with a decreased risk of compromising sterility.
Microstructural analysis and electro-optic properties of thick epitaxial BaTiO3 films integrated on silicon (001) (2022)

Recent advances in epitaxial oxide deposition have enabled the fabrication of thick films of ferroelectric perovskite ${\mathrm{BaTiO}}_{3}$ capable of providing a robust electro-optic response via the Pockels effect in silicon photonic devices. We report a microstructure analysis of such films integrated on Si(001) by molecular beam epitaxy, showing how the crystallographic and polarization orientation change as a function of thickness. The measured electro-optic properties of the film correlate well with the microstructural analysis and demonstrate the potential of Si-integrated ${\mathrm{BaTiO}}_{3}$ for silicon photonics. An effective Pockels coefficient of up to 268 pm/V has been demonstrated in 110-nm-thick films in transmission measurements and 352 pm/V in waveguide measurements.
Patient-matched analysis identifies deregulated networks in prostate cancer to guide personalized therapeutic intervention (2019)

Prostate cancer (PrCa) is the second most common malignancy in men 1 . More than 50% of advanced prostate cancers display the TMPRSS2-ERG fusion 2 . Despite extensive cancer genome/transcriptome 2–4 and phosphoproteome 5 data, little is known about the impact of mutations and altered transcription on regulatory networks in the PrCa of individual patients. Using patient-matched normal and tumor samples, we established somatic variations and differential transcriptome profiles of primary ERG-positive prostate cancers. Integration of protein-protein interaction and gene-regulatory network databases 6, 7 defined highly diverse patient-specific network alterations. We found that different components of a given regulatory pathway were altered by novel and known mutations and/or aberrant gene expression, including deregulated ERG targets, such that different sets of pathways were altered in each individual PrCa. In a given PrCa, several deregulated pathways share common factors, predicting synergistic effects on cancer progression. Our integrated analysis provides a paradigm to identify key deregulated factors within regulatory networks to guide personalized therapies.
Photodynamic therapy for melanoma: efficacy and immunologic effects (2014)

Malignant melanoma is one of the fastest growing cancers and if it cannot be completely surgically removed the prognosis is bleak. Melanomas are known to be particularly resistant to both chemotherapy and radiotherapy. Various types of immunotherapy have however been investigated with mixed reports of success. Photodynamic therapy (PDT) has also been tested against melanoma, again with mixed effects as the melanin pigment is thought to act as both an optical shield and as an antioxidant. We have been investigating PDT against malignant melanoma in mouse models. We have compared B16F10 melanoma syngenic to C57BL/6 mice and S91 Cloudman melanoma syngenic to DBA2 mice. We have tested the hypothesis that S91 will respond better than B16 because of higher expression of immunocritical molecules such as MHC-1, tyrosinase, tyrosinase related protein-2 gp100, and intercellular adhesion molecule-1. Some of these molecules can act as tumor rejection antigens that can be recognized by antigen-specific cytotoxic CD8 T cells that have been stimulated by PDT. Moreover it is possible that DBA2 mice are intrinsically better able to mount an anti-tumor immune response than C57BL/6 mice. We are also studying intratumoral injection of photosensitzers such as benzoporphyrin monoacid ring A and comparing this route with the more usual route of intravenous administration.
Cloning and expression of a Leishmania donovani gene instructed by a peptide isolated from major histocompatibility complex class II molecules of infected macrophages. (1995)

The studies reported here describe the isolation of peptides from MHC class II molecules of murine macrophages infected with Leishmania donovani, and the use of the derived peptide sequences to rescue the pathogen peptide donor protein. The isolation of the peptides was carried out by comparing the RP HPLC profile of peptides extracted from infected macrophages with the peptides extracted from noninfected cells. Several distinct HPLC peaks unique to infected macrophages were sequenced. One of the peptides that was not homologous to any known protein was used to instruct the designing of an oligonucleotide sense primer that was used in combination with an oligo dT nucleotide (anti-sense primer) to amplify by PCR a DNA fragment from L. donovani cDNA. The amplified DNA fragment was cloned and used as a probe to screen a L. donovani cDNA library. The cloned gene (Ld peptide gene) has an open reading frame of 525 bp and has no homology with any known protein/gene sequence. Northern blot analyses indicated that the Ld peptide/gene is broadly distributed and expressed among species of the Leishmania genus, in both the amastigote and promastigote life cycle forms. Using the pGEX 2T vector, the gene was expressed and the relationship of the purified recombinant protein with L. donovani was confirmed using both antibody and T cell responses from immunized or infected animals. The gene encodes a 23-kD molecule (Ldp 23) associated with the cell surface of L. donovani promastigotes. In addition, T cells purified from the lymph nodes of BALB/c mice immunized with L. donovani or infected with L. major, and from CBA/J mice infected with L. amazonensis were stimulated to proliferate by the recombinant Ldp 23 and produced high levels of IFN-gamma and no IL 4. This observation suggests that the Ldp 23 is an interesting parasite molecule for the studies concerning the host/parasite interaction because the Th1 pattern of cytokine response that it induces is correlated with resistance to Leishmania infections. These results clearly point to an alternative strategy for the purification of proteins useful for the development of both vaccines and immunological diagnostic tools not only against leishmaniasis but also for other diseases caused by intracellular pathogens.
Full-Plant Deammonification for Low-Energy, Low-Carbon Nitrogen Removal (2011)

Full-Plant Deammonification for Low-Energy, Low-Carbon Nitrogen RemovalThe successful application of full-plant deammonification could save wastewater utilities hundreds of millions of dollars in aeration and external carbon costs in the life cycle. Even the most efficient wastewater treatment designs with energy recovery systems usually do not yet achieve energy-neutral conditions. This paper describes an energy-neutral or even energy-positive wastewater treatment...Author(s)Maureen O'ShaughnessyBernhard WettCharles BottSudhir MurthyChristine deBarbadilloDavid KinnearKartik ChandranJ.B. NeethlingAndrew ShawBeverley StinsonJames BarnardSourceProceedings of the Water Environment FederationSubjectSession 60: The Really Interesting Papers SessionDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2011ISSN1938-6478SICI1938-6478(20110101)2011:13L.3715;1-DOI10.2175/193864711802721884Volume / Issue2011 / 13Content sourceWEFTECFirst / last page(s)3715 - 3720Copyright2011Word count287Subject keywordsDeammonificationnitrogen removalsustainabilitylow energylow operating costanammoxdenitrificationnitrificationnitritationnitrite inhibition