gebhart/patrepeval huggingface dataset:
Active Noise Control Systems: Algorithms and DSP Implementations (1996)

From the Publisher:
Active noise control (ANC) is rapidly becoming the most effective way to reduce noises that can otherwise be very difficult and expensive to control. ANC is achieved by introducing a canceling anti-noise wave through an appropriate array of secondary sources. When applied accurately, ANC can provide effective solutions to noise-related problems in a broad range of areas, including manufacturing and industrial operations as well as consumer products. Consequently, ANC research and development has become an important focus of both industrial applications and engineering research. Active Noise Control Systems: Algorithms and DSP Implementations introduces the basic concepts of ANC with an emphasis on digital signal processing (DSP) hardware and adaptive signal processing algorithms, both of which have come into prominence within the last decade. The authors emphasize the practical aspects of ANC systems by combining the principles of adaptive signal processing with both experimental results and practical implementation. Applications are cited in many fields and encompass all types of noise media, including air-acoustic, hydroacoustic, vibrations, and others. The specific implementation stressed is based on the TMS320 family of signal processors from Texas Instruments, which are the most widely used worldwide. Coverage of theory includes concise derivations and analyses of commonly used adaptive structures and algorithms for active noise control applications, which are enhanced by the inclusion of a floppy disk featuring C and assembly programs for implementing many ANC systems. Mathematical representations are employed and the source code included on the disk is in a form that is easily accessible to anyone using the book. For practicing engineers, researchers, and advanced students in signal processing, Active Noise Control Systems: Algorithms and DSP Implementations will serve as a comprehensive, state-of-the-art text/reference on this important and rapidly de
Conservation of Torus-knot Angular Momentum in High-order Harmonic Generation (2019)

High-order harmonic generation stands as a unique nonlinear optical up-conversion process, mediated by a laser-driven electron recollision mechanism, which has been shown to conserve energy, linear momentum, and spin and orbital angular momentum. Here, we present theoretical simulations that demonstrate that this process also conserves a mixture of the latter, the torus-knot angular momentum J_{γ}, by producing high-order harmonics with driving pulses that are invariant under coordinated rotations. We demonstrate that the charge J_{γ} of the emitted harmonics scales linearly with the harmonic order, and that this conservation law is imprinted onto the polarization distribution of the emitted spiral of attosecond pulses. We also demonstrate how the nonperturbative physics of high-order harmonic generation affect the torus-knot angular momentum of the harmonics, and we show that this configuration harnesses the spin selection rules to channel the full yield of each harmonic into a single mode of controllable orbital angular momentum.
A simple and efficacious control system for stand alone generation plants equipped with induction machines (2006)

The paper presents a novel control algorithm, for a stand alone generation plant equipped with induction machine. The aim of control is to regulate properly the voltage and frequency generation of induction machine during load power changes. A "decoupled" control technique has been proposed. The voltage and frequency have been controlled separately by means of prime torque and continuous variable capacitive impedance connected in parallel to generator clamps. Numerical results have given evidence of good performance of algorithm control in terms of steady state precision and time transient.
Blind image deconvolution using constrained variance maximization (2005)

This paper describes an algorithm based on constrained variance maximization for the restoration of a blurred image. Blurring is a smoothing process by definition. Accordingly, the deblurring filter shall be able to perform as a high pass filter, which increases the variance. Therefore, we formulate a variance maximization object function for the deconvolution filter. Using principal component analysis (PCA), we find the filter maximizing the object function. PCA is more than just a high pass filter; by maximizing the variances, it is able to perform the decorrelation, by which the original image is extracted from the mixture (the blurred image). Our approach was experimentally compared with the adaptive Lucy-Richardson maximum likelihood (ML) algorithm. The comparative results on both synthesized and real blurred images are included.
Molecular-Dynamics-Based Profile Evolution Simulation for Sub-10-nm Si Processing Technology (2009)

Fully atomistic profile evolution simulations in dry etching processes have been demonstrated by classical molecular dynamics (MD) simulations. In our first attempt, this technique was applied to 5 nm Si trench etching by halogen (F, Cl, and Br) mono-energetic beams. The trench profile evolutions were dynamically reproduced on the atomic scale and qualitatively agreed with our common view based on the chemical properties of the injected species. This MD-based ab-initio approach is not only a baseline to verify the existing continuum-model-based simulation but a tool to estimate electrical performance including the effects of damaging layers and process margins/yields in the sub-10-nm processing rules.
Optimizing the Expression of Human Dopamine Receptors in Escherichia coli (2021)

The human dopamine receptors D<sub>2S</sub> and D<sub>3</sub> belong to the group of G protein-coupled receptors (GPCRs) and are important drug targets. Structural analyses and development of new receptor subtype specific drugs have been impeded by low expression yields or receptor instability. Fusing the T4 lysozyme into the intracellular loop 3 improves crystallization but complicates conformational studies. To circumvent these problems, we expressed the human D<sub>2S</sub> and D<sub>3</sub> receptors in <i>Escherichia coli</i> using different N- and C-terminal fusion proteins and thermostabilizing mutations. We optimized expression times and used radioligand binding assays with whole cells and membrane homogenates to evaluate K<sub>D</sub>-values and the number of receptors in the cell membrane. We show that the presence but not the type of a C-terminal fusion protein is important. Bacteria expressing receptors capable of ligand binding can be selected using FACS analysis and a fluorescently labeled ligand. Improved receptor variants can thus be generated using error-prone PCR. Subsequent analysis of clones showed the distribution of mutations over the whole gene. Repeated cycles of PCR and FACS can be applied for selecting highly expressing receptor variants with high affinity ligand binding, which in the future can be used for analytical studies.
EPR‐spectroscopy of reduced oxyferrous‐P450cam (1991)

X-irradiation of the ternary complex of P450:substrate:O2 at 77 K produces a reduced intermediate by electron addition to the Fe:O2 complex which can be studied by EPR-spectroscopy. The EPR spectrum of the new species exhibits rhombic symmetry with g-factors of 2.27, 2.17 and 1.95, respectively. Increasing the temperature of the sample to 190 K results in loss of intensity of the intermediate signals. X-irradiation of oxymyo- and oxyhemoglobin produces similar EPR signals indicating that the added electron is resident on the Fe:O2 compleX (Kappl, R., et al. (1985) Biochim. Biophys. Acta 870, 20-30).
Nanocomposite barrier films for photovoltaic applications (2023)

Polymer-clay nanocomposites thin film coatings have improved water vapor and oxygen permeability, in addition to improved corrosion resistance, while retaining high transparency, high electrical resistivity, and excellent fire-retardant properties for use as encapsulants for photovoltaic module assemblies and barrier coatings in other photovoltaic applications.
Reductive Photocarboxylation of Phenanthrene:  A Mechanistic Investigation (1996)

Irradiation of a solution of phenanthrene (PHN) in DMSO saturated with CO2 in the presence of N,N-dimethylaniline (DMA) produced 9,10-dihydrophenanthrene-9-carboxylic acid (1) in 55% yield, trans-9,10-dihydrophenanthrene-9,10-dicarboxylic acid (2) in 11% yield, a trace of phenanthrene-9-carboxylic acid (3), and a trace of 10-[p-(N,N-dimethylamino)phenyl]-9,10-dihydrophenanthrene-9-carboxylic acid (5). Addition of cumene, a hydrogen donor, or water, a proton donor, decreased the yield of 2, while addition of certain salts increased its yield. 9-Carboxy-9,10-dihydrophenanthr-10-yl, generated by irradiation of phenanthrene-9-carboxylic acid in the presence of DMA, is proposed to be an intermediate in the formation of the acids. The quantum yield for the formation of 2 increased to a maximum of 0.13 with increasing light intensity. High CO2 concentrations in DMSO changed the reaction pathway, greatly reducing the yields of 1 and 2, and phenanthrene-9-carboxylic acid (3) and 10-[p-(N,N-dimethylamino)phenyl]-9,10-dihydrophenanthrene-9-carboxylic acid (5) were formed instead. On the basis of these results reduction of 9-carboxy-9,10-dihydrophenanthr-10-yl with the phenanthrene radical anion is proposed to be a step in the mechanism accounting for trans-9,10-dihydrophenanthrene-9,10-dicarboxylic acid formation. Transient spectroscopic evidence in support of this proposal is presented.
Simultaneous Production of Nisin and Lactic Acid from Cheese Whey (2004)

A biorefinery process that utilizes cheese whey as substrate to simultaneously produce nisin, a natural food preservative, and lactic acid, a raw material for biopolymer production, was studied. The conditions for nisin biosynthesis and lactic acid coproduction by Lactococcus lactis subsp. lactis (ATCC 11454) in a whey-based medium were optimized using statistically based experimental designs. A Plackett-Burman design was applied to screen seven parameters for significant factors for the production of nisin and lactic acid. Nutrient supplements, including yeast extract, MgSO4, and KH2PO4, were found to be the significant factors affecting nisin and lactic acid formation. As a follow-up, a central-composite design was applied to optimize these factors. Second-order polynomial models were developed to quantify the relationship between nisin and lactic acid production and the variables. The optimal values of these variables were also determined. Finally, a verification experiment was performed to confirm the optimal values that were predicted by the models. The experimented results agreed well with the model prediction, giving a similar production of 19.3 g/L of lactic acid and 92.9 mg /L of nisin.
Silicon Nitride Material Integration for Enhanced Photonic Functionalities (2022)

We demonstrate a novel material integration scheme for the realisation of wave-length division multiplexing devices in the O-band and discuss advanced fabrication meth-ods for the realisation of nonlinear devices for all-optical processing in the C-band.
Effects of concomitant immunomodulators on the pharmacokinetics, efficacy and safety of adalimumab in patients with Crohn's disease or ulcerative colitis who had failed conventional therapy (2016)

Post hoc analysis of six randomised, controlled trials demonstrated no efficacy benefits with immunomodulator/adalimumab combination therapy, compared with adalimumab monotherapy in CD and UC patients with inadequate disease control on conventional therapy; the safety of the two treatment approaches was comparable.
12 dBm OCP1dB Millimeter-wave 28 nm CMOS Power Amplifier using Integrated Transformers (2020)

This paper describes the design of mm-wave integrated transformers and their application within a power amplifier (PA) in a 28 nm CMOS technology. The PA presents a 2-stage common-source differential topology and uses one transformer at the input and another at the output to perform single-ended to differential conversion, as well as another transformer to perform interstage matching. The baluns are sized to provide low insertion losses and high common-mode rejection rate (CMRR) as well as integrating the input and output matching networks. The designed baluns achieve minimum insertion losses better than 0.8 dB and CMRR superior to 27 dB. The output-stage transistors have a measured 1 dB output compression point (OCP1dB) of 10.2 dBm, 10.1 dB gain and peak power added efficiency (PAE) as high as 35%. Thanks to the transformers, the PA presents a compact implementation, occupying only 0.037 mm² on silicon. The fabricated PA achieves 12 dBm OCP1dB, 15.3 dB gain and peak PAE better than 20%.
Deep Task-Based Quantization (2021)

Quantizers play a critical role in digital signal processing systems. Recent works have shown that the performance of acquiring multiple analog signals using scalar analog-to-digital converters (ADCs) can be significantly improved by processing the signals prior to quantization. However, the design of such hybrid quantizers is quite complex, and their implementation requires complete knowledge of the statistical model of the analog signal. In this work we design data-driven task-oriented quantization systems with scalar ADCs, which determine their analog-to-digital mapping using deep learning tools. These mappings are designed to facilitate the task of recovering underlying information from the quantized signals. By using deep learning, we circumvent the need to explicitly recover the system model and to find the proper quantization rule for it. Our main target application is multiple-input multiple-output (MIMO) communication receivers, which simultaneously acquire a set of analog signals, and are commonly subject to constraints on the number of bits. Our results indicate that, in a MIMO channel estimation setup, the proposed deep task-bask quantizer is capable of approaching the optimal performance limits dictated by indirect rate-distortion theory, achievable using vector quantizers and requiring complete knowledge of the underlying statistical model. Furthermore, for a symbol detection scenario, it is demonstrated that the proposed approach can realize reliable bit-efficient hybrid MIMO receivers capable of setting their quantization rule in light of the task.
A PP2A-Integrator complex fine-tunes transcription by opposing CDK9 (2020)

SUMMARY Gene expression is tightly controlled by Cyclin-dependent kinases (CDKs) which regulate the RNA Polymerase II (RNAPII) transcription cycle at discrete checkpoints. RNAPII pausing is a CDK9-controlled rate-limiting process that occurs shortly after initiation and is required for spatio-temporal control of transcription in multicellular organisms. We discovered that CDK9-mediated RNAPII pause-release is functionally opposed by a protein phosphatase 2A (PP2A) complex. PP2A dynamically competes for key CDK9 substrates, DSIF and RNAPII, and is recruited to transcription pausing sites by INTS6, a subunit of the Integrator complex. INTS6 depletion disrupts the Integrator-PP2A association and confers resistance to CDK9 inhibition. This results in unrestrained activity of CDK9 and dysregulation of acute transcriptional responses. Pharmacological PP2A activation amplifies RNAPII pausing mediated by CDK9 inhibitors and synergizes therapeutically in a model of MLL-rearranged leukemia. These data demonstrate that finely-tuned gene expression relies on the delicate balance of kinase and phosphatase activity throughout the transcription cycle. HIGHLIGHTS Loss of INTS6 confers resistance to CDK9 inhibition INTS6 recruits PP2A to Integrator and chromatin PP2A/INTS6 complexes functionally oppose CDK9 PP2A/INTS6 fine-tune acute transcriptional responses Synergistic anti-cancer activity between PP2A activators and CDK9 inhibitors
Suppl Fig 1 from Intrathecal Viral Vector Delivery of Trastuzumab Prevents or Inhibits Tumor Growth of Human HER2-Positive Xenografts in Mice (2023)

&lt;p&gt;IT AAV9.trastuzumab tumor prophylaxis pilot experiment&lt;/p&gt;
Design, synthesis and biological evaluation of imidazopyridine/pyrimidine-chalcone derivatives as potential anticancer agents (2010)

A new series of imidazo[2,1-b]pyridine/pyrimidine chalcone derivatives were synthesized and evaluated for their anticancer activity. These chalcone derivatives showed promising activity with GI50 values ranging from 0.28 to 30.0 μM. The detailed biological aspects of one of the promising compound 3f on the MCF-7 cell line were studied. Interestingly, compound 3f induced G1 cell cycle arrest, down regulation of G1 phase cell cycle regulatory proteins such as cyclin D1, E1, and CDK2. Moreover, compound 3f showed the characteristic features of apoptosis such as enhancement in the levels of p27 and TNFR1 proteins with concomitant down regulation of procaspase-9. One of the representative compound of this series 3f could be considered as the potential lead for its development as a new anticancer agent.
Design specific variation in via/contact pattern transfer: Full chip analysis (2009)

A novel model-based algorithm provides a capability to control full chip design specific variation in pattern transfer caused by via/contact etch processes. This physics-based algorithm is capable of detecting and reporting hot spots based on the fab defined thresholds of acceptable variations in the critical dimension of etched shapes. It can also be used as a tool for etch process optimization to capture the impact of a variety of patterns presented in a particular design. A realistic set of process parameters employed by the developed model allows using this novel via-contact etch electronic design automation tool for the design-aware process optimization in addition to the “standard” process-aware design optimization. Measurements of the postetch geometries of contact holes etched in the organosilicate glass with fluorocarbon plasma (C4F8∕N2∕Ar) are used for model validation and calibration.
Oceanology controlled buoyancy autonomous buoys (2002)

Autonomous bottom stations and controlled buoyancy buoys with acoustic digital systems of remote control and telemetry are considered. The experience in development and maintenance of autonomous bottom station of P.P. Shirshov Institute of Oceanology applied for the complex acoustic measurements is described. This experience resulted in manufacturing of controlled buoyancy buoys in 1987. A number of scientific experiments with this controlled buoyancy buoys were carried out during 1988-1995 years. The following capabilities were tested in this experiments: submerging and surfacing under control with quantification of depth control equal to pressure sensor sensitivity; handing at desired horizon, depth monitor in given limits of corridor width, transition to the neutral buoyancy regime; transition to automatic bottom station regime. At the free drift controlled buoyancy buoys sound noises caused by passed streams are essentially decreased and supersensitive low frequency acoustic measurements can be carried out by means of multi-element array. The constructive diagrams and characteristics of the last modification of control buoyancy buoy are discussed. It realizes buoyancy regulation method based on mass variation due to drop of two liquid ballasts (heavy liquid and light liquid) into surroundings. Controlled buoyancy buoy equation of motion is described. The experimental trajectories obtained in real ocean conditions during expedition in Atlantic Ocean are analyzed. The recent implementation of oceanology buoys with buoyancy changed by electric pump with steel bellows is discussed.
Motion Vector Quantization for Efficient Low Bit-rate Video Coding (2009)

International audience
Cerebrospinal fluid p-tau217 performs better than p-tau181 as a biomarker of Alzheimer’s disease (2020)

Cerebrospinal fluid (CSF) p-tau181 (tau phosphorylated at threonine 181) is an established biomarker of Alzheimer's disease (AD), reflecting abnormal tau metabolism in the brain. Here we investigate the performance of CSF p-tau217 as a biomarker of AD in comparison to p-tau181. In the Swedish BioFINDER cohort (n = 194), p-tau217 shows stronger correlations with the tau positron emission tomography (PET) tracer [<sup>18</sup>F]flortaucipir, and more accurately identifies individuals with abnormally increased [<sup>18</sup>F]flortaucipir retention. Furthermore, longitudinal increases in p-tau217 are higher compared to p-tau181 and better correlate with [<sup>18</sup>F]flortaucipir uptake. P-tau217 correlates better than p-tau181 with CSF and PET measures of neocortical amyloid-β burden and more accurately distinguishes AD dementia from non-AD neurodegenerative disorders. Higher correlations between p-tau217 and [<sup>18</sup>F]flortaucipir are corroborated in an independent EXPEDITION3 trial cohort (n = 32). The main results are validated using a different p-tau217 immunoassay. These findings suggest that p-tau217 might be more useful than p-tau181 in the diagnostic work up of AD.
Clustering meal images in a web-based dietary management system (2011)

We investigate the possibility of summarizing meal image collections in an image-based dietary assessment system. A segmentation algorithm detects food regions in each meal image. Pairwise matching of images based on color and texture information of these regions forms a similarity matrix of the image collection. We cluster the nodes of the graph constructed using this matrix, to identify natural groupings of meal images according to their content. Representative images from these clusters form summaries of the large image collection. We conduct a user study to evaluate the effective ness of the proposed algorithms in summarizing meal image collections, and report the results.
Pharmacological treatment of osteoporosis in the oldest old (2017)

The incidence of osteoporotic fractures increases with age. Consequently, the global prevalence of osteoporotic fractures will increase with the aging of the population. In old age, osteoporosis is associated with a substantial burden in terms of morbidity and mortality. Nevertheless, osteoporosis in old age continues to be underdiagnosed and undertreated. This may, at least partly, be explained by the fact that evidence of the antifracture efficacy of osteoporosis treatments comes mainly from randomized controlled trials in postmenopausal women with a mean age of 70-75 years. However, in the last years, subgroup analyses of these landmark trials have been published investigating the efficacy and safety of osteoporosis treatment in the very elderly. Based on this evidence, this narrative review discusses the pharmacological management of osteoporosis in the oldest old (≥80 years). Because of the high prevalence of calcium and/or vitamin D deficiency in old age, these supplements are essential in the management of osteoporosis in the elderly people. Adding antiresorptive or anabolic treatments or combinations, thereof, reduces the risk of vertebral fractures even more, at least in the elderly with documented osteoporosis. The reduction of hip fracture risk by antiresorptive treatments is less convincing, which may be explained by insufficient statistical power in some subanalyses and/or a higher impact of nonskeletal risk factors in the occurrence of hip fractures. Compared with younger individuals, a larger absolute risk reduction is observed in the elderly because of the higher baseline fracture risk. Therefore, the elderly will benefit more of treatment. In addition, current osteoporosis therapies also appear to be safe in the elderly. Although more research is required to further clarify the effect of osteoporosis drugs in the elderly, especially with respect to hip fractures, there is currently sufficient evidence to initiate appropriate treatment in the elderly with osteoporosis and osteoporotic fractures.