gebhart/patrepeval huggingface dataset:
Inhibition of allorecognition by a human class II MHC–derived peptide through the induction of apoptosis (1999)

The interaction of the T-cell receptor with the major histocomatibility complex (MHC)-peptide complex is central to T-cell activation. Variation in the nature of the peptide bound within the groove of the MHC molecule may result in an altered T-cell response. Because some naturally processed peptides bound within the groove of the class II MHC molecule are derived from the MHC molecules themselves, we studied the inhibitory effects of synthetic class II MHC peptides on alloimmune responses in vitro. Three peptides derived from a highly conserved region of the class II MHC alpha chains inhibited the rat mixed lymphocyte response (MLR) in a dose-dependent manner, with the human HLA-DQA1 peptide also inhibiting the human and mouse MLR. No effect was seen on mitogen-induced T-cell proliferation. HLA-DQA1 inhibited cytolytic T lymphocyte (CTL) generation in a dose-response fashion, with no reduction in preformed CTL killing, suggesting that the inhibitory effect is targeted at CD4(+) T-cell function. Cell-cycle analysis by flow cytometry showed that restimulation of primed T cells in the presence of HLA-DQA1 resulted in increased apoptosis, whereas unstimulated cells were not affected. These data demonstrate that synthetic peptides derived from highly conserved regions of the class II MHC alpha chain can alter CD4(+) T-lymphocyte alloimmune responses in vitro, and this effect is mediated by the induction of apoptosis in activated T cells.
Learning across label confidence distributions using Filtered Transfer Learning (2020)

Performance of neural network models relies on the availability of large datasets with minimal levels of uncertainty. Transfer Learning (TL) models have been proposed to resolve the issue of small dataset size by letting the model train on a bigger, task-related reference dataset and then fine-tune on a smaller, task-specific dataset. In this work, we apply a transfer learning approach to improve predictive power in noisy data systems with large variable confidence datasets. We propose a deep neural network method called Filtered Transfer Learning (FTL) that defines multiple tiers of data confidence as separate tasks in a transfer learning setting. The deep neural network is fine-tuned in a hierarchical process by iteratively removing (filtering) data points with lower label confidence, and retraining. In this report we use FTL for predicting the interaction of drugs and proteins. We demonstrate that using FTL to learn stepwise, across the label confidence distribution, results in higher performance compared to deep neural network models trained on a single confidence range. We anticipate that this approach will enable the machine learning community to benefit from large datasets with uncertain labels in fields such as biology and medicine.
Optimized memory requirements for wavelet-based scalable multimedia codecs (2005)

Powerful multimedia applications are running more and more on very compact and resource-scarce, portable systems. As a consequence, system design optimization, its associated time-to-market constraints and the required automated tool support are becoming increasingly important issues, especially in situations where product derivatives and extensions introduce unforeseen and possibly dramatic constraints in the system optimization process. Nevertheless, the system designer remains an irreplaceable cornerstone for steering the whole system optimization process. This paper presents the relationship of aforementioned aspects in the context of optimizing data access to memory, which is the dominant factor determining the system-on-a-chip area, data throughput and power consumption. The case study of a 1D and 2D forward and inverse wavelet transform, interacting with surrounding system modules imposed by current multimedia compression standards, leads the reader through the peculiar technical counter-measures and script-based optimization steps to be followed for reaching a satisfactory global optimization. In particular, the data dependencies between the different functional modules are shown to be crucial in the memory optimization process and lead to non-trivial/counter-intuitive decision takings that can increase the energy consumption gains compared to more commonly-accepted, though suboptimal approaches. An example is the counter-intuitive observation that though JPEG2000 uses independently entropy coded blocks over its wavelet subbands, it requires more memory because of “hidden” data dependencies, than its zero-tree based MPEG-4 counterpart, whose intricate entropy coding spreads over all the subbands. Hence, to achieve an overall optimal implementation with good trade-offs between efficiency and cost, it is strongly suggested that algorithmic and implementation designers should co-operate in early stages of the multimedia systems design, facilitated by high-level memory cost estimation analyses.
LPFG sensing network for distributed shape control (2014)

In this paper, we discuss various aspects of the control and sensing in a flexible wing aircraft using embedded LPFG (Long Period Fiber Grating). Driven by the need to improve aerodynamic efficiency and reduce fuel burn, interest in light-weight structures for next generation aircraft has been on the rise. However, in order to fully exploit novel lightweight structures, there is a critical need for distributed sensing along the entire wing span and its integration with closed-loop control systems. A model of an LPFG sensor string embedded in an Euler-Bernoulli beam is proposed along with an associated control algorithm.
Harvesting Hydrogen Gas from Air Pollutants with an Unbiased Gas Phase Photoelectrochemical Cell (2017)

The concept of an all-gas-phase photoelectrochemical (PEC) cell producing hydrogen gas from volatile organic contaminated gas and light is presented. Without applying any external bias, organic contaminants are degraded and hydrogen gas is produced in separate electrode compartments. The system works most efficiently with organic pollutants in inert carrier gas. In the presence of oxygen, the cell performs less efficiently but still significant photocurrents are generated, showing the cell can be run on organic contaminated air. The purpose of this study is to demonstrate new application opportunities of PEC technology and to encourage further advancement toward PEC remediation of air pollution with the attractive feature of simultaneous energy recovery and pollution abatement.
Unequal Error Protection for H.264 Video Using RCPC Codes and Hierarchical QAM (2010)

Compressed video data is very sensitive to channel-induced errors and network losses. Most conventional unequal error protection techniques involve forward error correction codes of different rates or asymmetric signal constellations for data of different priorities. It is yet unknown if combining the above two techniques can further improve performance. In this paper, we investigate rate-compatible punctured convolutional (RCPC) codes concatenated with hierarchical QAM for H.264 encoded video sequences. We investigate system constraints and propose an optimization formulation to compute the optimal parameters of the proposed system under the given source significance information. An upper bound to the bit error rate of the proposed system is derived as a function of system parameters, including the code rate and geometry of the constellation. The example shown demonstrates system design for H.264 video, where PSNR improvement is observed.
PRODUCTION OF FRUCTOSE FROM JERUSALEM ARTICHOKE BY ENZYMATIC HYDROLYSIS (1978)

ABSTRACT Using an extracellular β‐fructosidase, inulase, which hydrolyzes β‐2: 1′‐linked fructose polymers, 90% of the total sugar in the extract of Jerusalem artichoke tubers were hydrolyzed to free sugars which consisted of 77% fructose and 23% glucose. Fructose in the hydrolyzate was separated by Dowex 1‐X8 ion exchange chromatography and was obtained with overall recovery 61%.
A closer look on hierarchical spectro-temporal features (HIST) (2008)

Speech recognition robust against interfering noise remains a difficult task. We previously presented a set of spectrotemporal speech features which we termed Hierarchical Spectro-Temporal (HIST) features showing improved robustness, especially when combined with RASTA-PLP. They are inspired by the receptive fields found in the mammalian auditory cortex and are organized in two hierarchical levels. A set of filters learned via ICA captures local variations and constitutes the first layer of the hierarchy. In the second layer these local variations are combined to form larger receptive fields learned via Non Negative Sparse Coding. In this paper we introduce a non-linear smoothing along the time axis of the spectrograms at the input to the hierarchy and, additionally, a more thorough performance analysis on an isolated and a continuous digit recognition task. The results show that the combination of HIST and RASTA-PLP features yields improved recognition scores in noise.
Influence of antenna configuration on achievable throughput in real indoor propagation environment for 2-by-2 single-user MIMO in LTE-advanced uplink (2012)

This paper clarifies the influence of the antenna configuration on the achievable throughput in a real indoor propagation environment employing 2-by-2 single-user (SU) multiple-input multiple-output (MIMO) in the Long Term Evolution (LTE)-Advanced uplink with single carrier-based radio access. For four antenna configurations, the achievable throughput performance with adaptive modulation and coding (AMC) and hybrid automatic repeat request (HARQ) is evaluated under line-of-sight (LOS) and non-LOS (NLOS) conditions using the implemented LTE-Advanced transceiver. Experimental results show that under LOS conditions, Rank-2 MIMO spatial multiplexing is invaluable in improving the achievable throughput because the restriction on the mobile station (MS) transmission power in an indoor environment is not so severe due to a small cell size compared to that in a field environment. The results also show that when a cross-polarized antenna configuration is employed, the location probability for achieving throughput greater than 200 Mbps is approximately 95%. We confirm that under NLOS conditions, Rank-1 closed-loop transmit diversity with precoding is effective in enhancing the coverage in an indoor environment. Furthermore, we clarify that high throughput performance is obtained irrespective of the MS or base station (BS) antenna separation since the appropriate precoding vector (PV) is selected for each antenna configuration.
Discrimination of gas-phase emissions from building material samples by combining two gas-sensor arrays (2008)

International audience
Low Temperature Precursors for Metal Oxide Catalysts (2005)

Scope and Method of Study: The purpose of the investigation conducted in this project was to establish a simple, cost-effective, environmentally benign method, utilizing the distinctive thermal instability of the metal complexes of pyruvic acid oxime (PAO) ligand, for the synthesis of high surface area, porous, nanocrystalline metal oxide ceramics and testing them as heterogeneous catalyst systems and adsorbents for the remediation of arsenate in aqueous medium. The metal complexes of PAO were readily prepared in aqueous medium via ligand exchange strategy. Structural characterization of these complexes was to verify their formation on the basis of their infrared (IR) and solid-state 13c nuclear magnetic resonance (NMR) spectra, X-ray powder diffraction (XRD), single crystal X-ray diffraction, and thermal gravimetric and differential thermal analyses (TGA and DTA). IR and XRD analyses were used to confirm the formation of metal oxides as the final products of the pyrolysis of the metal complexes of PAO. The crystallite size, the surface properties (acidity, basicity and BET surface area), and the morphology of the metal oxides were to be determined by XRD, the adsorption of base and acid probe molecules, and by scanning and transmission electron microscopes (SEM and TEM), respectively. Some of the metal oxides were to have their catalytic activity examined with either Friedel-Crafts alkylation or Claisen-Schmidt condensation in Teflon bomb reactors at 150 oC. The analyses of the products were to be executed by gas chromatography/mass spectrometry technique. The adsorption ability of some of the metal oxides for arsenate in aqueous solution was to be performed in the natural pH range of water (6.8-7.1) at room temperature. The equilibrium concentration of arsenic was to be determined using a water analysis test kit (EM Science, Gibbstown, NJ, USA).
Atomically Resolved Elucidation of the Electrochemical Covalent Molecular Grafting Mechanism of Single Layer Graphene (2016)

Engineering graphene at the atomic level via chemical doping, substrate interactions or lateral confinement opens up avenues for precise tuning of its electronic and magnetic properties. Chemical doping by covalent modification routes using electrochemical tools offers rich opportunities that are yet to be fully explored. The key to controlling graphene's physicochemical properties requires a detailed atomistic understanding of the geometry and mechanism of the covalent attachment process. By employing diaryliodonium salts instead of the commonly used diazonium salts, precise molecular grafting onto epitaxial graphene is achieved. Using atomically resolved imaging via scanning tunneling microscopy it is shown that for single layer, high quality, low defect graphene, the functionalization process is controlled by kinetics rather than thermodynamics in accord with Marcus–Gerisher theory. The predominance of the preferential pairwise attachment of molecular grafts specifically on the same graphene sublattice gives rise to ferromagnetic properties previously observed in nitrophenyl modified graphene. Furthermore, p‐type doping has been quantified by electrical measurements and angle resolved photoelectron spectroscopy. Overall this electrochemical route for precise covalent functionalization of single layer graphene is general and can be straightforwardly extended to other 2D few‐layer confined materials such as transition metal chalcogenides.
<title>Development for medical surgical system with function variability and flexible delivery using dual-wavelength infrared fiber laser</title> (2002)

We developed a medical surgical system with function variability and flexible delivery of dual-wavelength infrared fiber laser that simultaneously oscillated 3 and 2 micrometers radiation. We studied the function variability (cutting/coagulation) of this fiber laser using a specially designed filter which contained two adjacent areas with different transmission for 2 micrometers radiation. When the power of 3 micrometers radiation was set to 0.6 W and the power of 2 micrometers radiation was changed from 0 W to 0.77 W using this filter at the beam traveling speed of 0.25 mm/s, the cutting groove formed in myocardium tissue increased from 0.80 mm to 0.89 mm and the coagulation layer thickness increased from 0.41 mm to 0.85 mm. We successfully developed a filter system that could continuously control coagulation layer thickness with cutting capability constant. We studied a flexible beam delivery using a single crystal sapphire fiber. The transmission efficiency per meter for 3 and 2 micrometers radiation using a 200-micrometers core-diameter sapphire fiber was 58.0% and 60.4%, respectively. The bending loss at 3-cm loop radius was 5.6%. The high flexibility and low bending loss of the sapphire fiber might make it possible to apply the dual-wavelength infrared fiber laser to endoscopic treatment. In summary, these results may encourage the possibility for practical use of the fiber laser.
Ex vivo ras peptide vaccination in patients with advanced pancreatic cancer: Results of a phase I/II study (1996)

In a pilot I/II study we have tested synthetic ras peptides used as a cancer vaccine in 5 patients with advanced pancreatic carcinoma. The treatment principle used was based on loading professional antigen-presenting cells (APCs) from peripheral blood with a synthetic ras peptide corresponding to the ras mutation found in tumour tissue from the patient. Peptide loading was performed ex vivo and the next day APCs were re-injected into the patients after washing to remove unbound peptide. Patients were vaccinated in the first and second week and thereafter every 4-6 weeks. In 2 of the 5 patients treated, an immune response against the immunising ras peptide could be induced. None of the patients showed evidence of a T-cell response against any of the ras peptides before vaccination. The treatment was well tolerated and could be repeated multiple times in the same patient. Side effects were not observed even if an immunological response against the ras peptide was evident. We conclude that ras peptide vaccination according to the present protocol is safe and may result in a potentially beneficial immune response even in patients with advanced malignant disease.
A Compact Integrated High-Voltage Pulser Insensitive to Supply Transients for 3-D Miniature Ultrasound Probes (2022)

In this paper, a compact high-voltage (HV) transmit circuit for dense 2D transducer arrays used in 3D ultrasonic imaging systems is presented. Stringent area requirements are addressed by a unipolar pulser with embedded transmit/receive switch. Combined with a capacitive HV level shifter, it forms the ultrasonic HV transmit circuit with the lowest reported HV transistor count and area without any static power consumption. The balanced latched-based level shifter implementation makes the design insensitive to transients on the HV supply caused by pulsing, facilitating application in probes with limited local supply decoupling, such as imaging catheters. Favorable scaling through resource sharing benefits massively arrayed architectures while preserving full individual functionality. A prototype of 8 x 9 elements was fabricated in TSMC 0.18 &#x03BC;m HV BCD technology and a 160 &#x03BC;m x 160 &#x03BC;m PZT transducer matrix is manufactured on the chip. The system is designed to drive 65 V peak-to-peak pulses on 2 pF transducer capacitance and hardware sharing of 6 elements allows for an area of only 0.008 mm2 per element. Electrical characterization as well as acoustic results obtained with the 6 MHz central frequency transducer are demonstrated.
Spatial locality trade-offs of wavelet-based applications in dynamic execution environments (2008)

Future dynamic applications will require new mapping strategies to deliver power-efficient performance. Fully static design-time mappings will not address the unpredictably varying application characteristics and resource requirements. Instead, the platforms will not only need to be programmable in terms of instruction set processors, but also at least partial reconfigurability will be required, while the applications themselves will need to exploit this freedom at run-time to adapt to the dynamism. In this context, it is important for applications to exploit the memory hierarchy under varying memory availability. This paper presents a mapping strategy for wavelet-based applications: depending on the run-time conditions, it switches to different memory optimized instantiations, optimally exploiting temporal and spatial locality under these conditions. A comparison is performed between the gains of fully in-placed lifting-based wavelet transforms, and non in-placed versions with higher spatial locality.
Randomized Phase III Trial of Paclitaxel and Carboplatin Versus Paclitaxel and Ifosfamide in Patients With Carcinosarcoma of the Uterus or Ovary: An NRG Oncology Trial (2022)

PC was not inferior to the active regimen PI and should be standard treatment for UCS.
One-pot synthesis and encapsulation of iron iodate (Fe(IO3)3) hybrid nanoparticles via water-in-oil miniemulsion polymer (2012)

International audience
The ACE challenge &#x2014; Corpus description and performance evaluation (2015)

Knowledge of the Direct-to-Reverberant Ratio (DRR) and Reverberation Time (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">60</sub> ) can be used to better perform speech and audio processing such as dereverberation. Established methods compute these parameters from measured Acoustic Impulse Responses (AIRs). However, in many practical situations the AIR is not available and the parameters must be estimated non-intrusively directly from noisy speech or audio signals. The Acoustic Characterization of Environments (ACE) Challenge is a competition to identify the most promising non-intrusive DRR and T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">60</sub> estimation methods using real noisy reverberant speech. We describe the ACE corpus comprising multi-channel AIRs, and multi-channel noise including ambient, fan and babble noise recorded in the same environment as the measured AIRs, along with the corresponding DRR and T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">60</sub> measurements. The evaluation methodology is discussed and comparative results are shown.
LISA: Increasing Internal Connectivity in DRAM for Fast Data Movement and Low Latency (2018)

This paper summarizes the idea of Low-Cost Interlinked Subarrays (LISA), which was published in HPCA 2016, and examines the work's significance and future potential. Contemporary systems perform bulk data movement movement inefficiently, by transferring data from DRAM to the processor, and then back to DRAM, across a narrow off-chip channel. The use of this narrow channel results in high latency and energy consumption. Prior work proposes to avoid these high costs by exploiting the existing wide internal DRAM bandwidth for bulk data movement, but the limited connectivity of wires within DRAM allows fast data movement within only a single DRAM subarray. Each subarray is only a few megabytes in size, greatly restricting the range over which fast bulk data movement can happen within DRAM. Our HPCA 2016 paper proposes a new DRAM substrate, Low-Cost Inter-Linked Subarrays (LISA), whose goal is to enable fast and efficient data movement across a large range of memory at low cost. LISA adds low-cost connections between adjacent subarrays. By using these connections to interconnect the existing internal wires (bitlines) of adjacent subarrays, LISA enables wide-bandwidth data transfer across multiple subarrays with little (only 0.8%) DRAM area overhead. As a DRAM substrate, LISA is versatile, enabling a variety of new applications. We describe and evaluate three such applications in detail: (1) fast inter-subarray bulk data copy, (2) in-DRAM caching using a DRAM architecture whose rows have heterogeneous access latencies, and (3) accelerated bitline precharging by linking multiple precharge units together. Our extensive evaluations show that each of LISA's three applications significantly improves performance and memory energy efficiency on a variety of workloads and system configurations.