gebhart/patrepeval huggingface dataset:
Robustness of H/sup ∞/ controllers to nonlinear perturbations (2002)

We study the robustness of H/sup /spl infin// controllers to unknown static nonlinear perturbations in the state dynamics, the measurement equation, and the performance index. When the nominal system is linear, we consider both perfect and general imperfect state measurements, and in the case of nominally nonlinear systems, we consider perfect state measurements only. Using a differential game theoretic approach, we show for the former class that as the perturbation parameter (say, /spl epsiv/>0) approaches zero, the optimal disturbance attenuation level for the overall system converges to a value that is bounded above by the optimal disturbance attenuation level for the nominal system if the nonlinear structural uncertainties satisfy prescribed growth conditions. In particular, the overall optimal disturbance attenuation level converges to the nominal optimal disturbance attenuation level under perfect state measurements. We also show that the H/sup /spl infin//-optimal controller designed for a chosen performance level for the nominal linear system achieves the same performance level when the parameter |/spl epsiv/| is smaller than a computable threshold, except for the finite-horizon imperfect state measurements case. For that case, we show that the design of the nominal controller must be based on a decreased confidence level of the initial data, and a controller thus designed again achieves a desired performance level in the face of nonlinear perturbations satisfying a, computable norm bound. In the case of nominally nonlinear systems, and assuming that the nominal system is solvable, we obtain sufficient conditions such that the nominal controller achieves a desired performance in the face of perturbations satisfying computable norm bounds. In this way, we provide a characterization of the class of uncertainties that is tolerable for a controller designed based on the nominal system.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Proceedings of the 17th Collegium Internationale Neuro-psychopharmacologicum Congress (1990)

This volume highlights recent progress in understanding the biology of neurological and psychiatric disorders and developing more effective drug therapies. Included are reports on new strategies for treatment of Parkinson's disease, refractory epilepsy, and postnatal and childhood psychiatric disorders, as well as on the biology and treatment of dementia and related conditions, drug addiction and alcoholism, post-traumatic stress, impulse control disorders, panic, and anxiety states. Leading experts reassess the mechanisms of action and the rational use of antidepressants, antipsychotics, lithium and other mood stabilizers, and anxiolytics and present extensive findings on new drugs such as atypical antipsychotics, reversible MAO-inhibitors, anxiolytics not acting at the benzodiazepine receptor, and antiepileptics that are effective as mood stabilizers. Other topics covered include brain imaging studies, molecular genetics of CNS diseases, stress-induced neurochemical changes, molecular aspects of receptors and psychotropic drugs, and biological markers for psychiatric diseases
Discovering objects and their location in images (2005)

We seek to discover the object categories depicted in a set of unlabelled images. We achieve this using a model developed in the statistical text literature: probabilistic latent semantic analysis (pLSA). In text analysis, this is used to discover topics in a corpus using the bag-of-words document representation. Here we treat object categories as topics, so that an image containing instances of several categories is modeled as a mixture of topics. The model is applied to images by using a visual analogue of a word, formed by vector quantizing SIFT-like region descriptors. The topic discovery approach successfully translates to the visual domain: for a small set of objects, we show that both the object categories and their approximate spatial layout are found without supervision. Performance of this unsupervised method is compared to the supervised approach of Fergus et al. (2003) on a set of unseen images containing only one object per image. We also extend the bag-of-words vocabulary to include 'doublets' which encode spatially local co-occurring regions. It is demonstrated that this extended vocabulary gives a cleaner image segmentation. Finally, the classification and segmentation methods are applied to a set of images containing multiple objects per image. These results demonstrate that we can successfully build object class models from an unsupervised analysis of images.
The Inflammasome Signaling Proteins ASC and IL-18 as Biomarkers of Psoriasis (2020)

Inflammasome activation in the innate immune response plays a role in the pathogenesis of psoriasis largely due to the increased levels of pro-inflammatory cytokines. However, the precise role of inflammasomes in psoriasis (Ps) and psoriatic arthritis (PsA) is largely undefined. To establish the reliability of inflammasome signaling proteins as diagnostics and predictive biomarkers of clinical severity in this disease population, serum from healthy donors and patients with Ps/PsA were analyzed for the protein expression of caspase-1, apoptosis-associated speck-like protein containing a caspase-recruitment domain (ASC), interleukin (IL)-1β and IL-18 levels to determine cut-off points, positive and negative predictive values, and receiver operator characteristic (ROC) curves. Our data revealed that ASC and IL-18 proteins were significantly higher in the Ps group when compared to healthy controls. The area under the curve (AUC) for ASC was 0.9224 with a cut-off point of 321.8 pg/ml, while IL-18 had an AUC of 0.7818 and a cut-off point of 232.1 pg/ml. In addition, levels of IL-18 had a statistically significant linear correlation with that of ASC with an adjusted R squared of 0.2566, indicating that approximately 25% of IL-18 levels could be explained by ASC levels in serum. Our findings indicate that ASC and IL-18 play a significant role in the inflammatory response associated with the pathology of Ps. These inflammasome proteins appear to be key biomarkers in determining diagnoses in this patient population.
Mode-locked Yb-doped fiber laser with external compression to 89 fs in normal dispersion fiber (2008)

A practical ytterbium-doped mode-locked fiber source producing 89 fs pulses without an external bulk compensator was developed by investigating the pulse propagation dynamics in a mode-locked fiber laser with small average dispersion. Negatively chirped pulses are taken from the cavity and compressed in a standard output fiber resulting in high-quality pulses.
Microanalytical studies (X-ray photoelectron spectrometry) of surface hydration reactions of cement compounds (1983)

Abstract X-ray photoelectron spectrometry (X.p.s.) measures the kinetic energy of electrons photoejected from a solid surface by soft X-rays. The kinetic energy of the photoelectrons can be related to the binding energy that these electrons had originally in the solid. X.p.s. is a rather new technique for studying cements. It has been used recently in the surface analysis of C3S, C2S, C3A and blast-furnace slag grains during their hydration. Changes in chemical composition have been found as soon as the surface comes into contact with water, shown by a change in the shape, position an intensity of characteristic peaks like Ca2p, Si2p, Ol8 and a reduction of characteristic ratios Ca/Si or Al/Si. A tentative interpretation of X.p.s. kinetic curves as a function of hydration time is presented.
Analysis of Multi-Sensor Fusion for Mobile and Wearable Sensor Based Human Activity Recognition (2018)

Sensor-based human activity monitoring and detection have become an emerging field of intense research and development in recent years due to its immense applications in wide area of human endeavors. Human activity recognition integrates diverse sensors with machine learning algorithms to provide contextual information on relative activity details for health-related feedbacks and lifestyles changes. However, there are varieties of sensors for implementing human activity recognition with diverse capabilities and types of activities they provide best performances. Also, the diverse nature of human activities and nature in which they are performed by the individual makes them challenging to recognize. Therefore, determining the impact of these sensors in human activity recognition using machine learning techniques are of immense advantages in human activity monitoring and detection. The objective of this paper is to comprehensively evaluate the performance of single and multi-sensor fusion for human activity recognition using accelerometer and gyroscope sensors. Firstly, the performances of these sensors were extensively analyzed individually using seven classification algorithms. Secondly, we conducted a comprehensive experimental evaluation of sensor fusion attached on the same location and on different locations of the body. The extensive evaluation with 10-fold cross validation demonstrates that highest average F-measures for single sensor and fusion are 0.908 and 0.938 with Random Forest and Voting ensemble algorithms respectively. Furthermore, the fusion of heterogeneous sensors attached to different locations of the body shows Chest and Hip sensors fusion achieves an average F-measure of 0.942 and classification accuracy of 94.23% using Random Forest algorithm. The outcome of our experimental evaluation shows the significant impact of multi-sensor fusion for human activity monitoring and detection.
Structure of Antibacterial Peptide Microcin J25:  A 21-Residue Lariat Protoknot (2003)

The antibacterial peptide microcin J25 (MccJ25) inhibits bacterial transcription by binding within, and obstructing, the nucleotide-uptake channel of bacterial RNA polymerase. Published covalent and three-dimensional structures indicate that MccJ25 is a 21-residue cycle. Here, we show that the published covalent and three-dimensional structures are incorrect, and that MccJ25 in fact is a 21-residue "lariat protoknot", consisting of an 8-residue cyclic segment followed by a 13-residue linear segment that loops back and threads through the cyclic segment. MccJ25 is the first example of a lariat protoknot involving a backbone-side chain amide linkage.
Ship HRRP Target Recognition Based on CNN and ELM (2019)

A new network structure CNN-ELM combining convolutional neural network (CNN) with extreme learning machine (ELM) is proposed in this paper. It is applied to ship high resolution range profile (HRRP) target recognition and implements automatic extraction of deep features of data. First, the CNN-ELM model is constructed and the network parameters are set. Second, in terms of the problem that HRRP data is one-dimensional, HRRP data are reordered to transform one-dimensional data into two-dimensional data. Then, the CNN-ELM model with training data is trained to obtain network parameters. Last, the recognition of test data with trained network model is targeted. In the experiment, the recognition rate of CNN-ELM reached 99.50%. In order to verify the generalization performance of the new method, the data set were halved and CNN-ELM was compared with different methods. The recognition rate of CNN-ELM reached 91.13% in the case of halving the data set. The experimental results of the measured data show that CNN-ELM has a better recognition performance.
ChemInform Abstract: AMINOCYCLITOLS PART 30, UNAMBIGUOUS SYNTHESIS OF SEVEN AMINOCYCLOPENTANETETROLS (1974)

Abstract Aus dem 2,3‐O‐Cyclohexyliden‐acetamido‐cyclopentan‐1,2,3,4‐tetrol (II) entstehen je nach den Bedingungen die Mesylverbindungen (Ia) und (Ib), letztere allerdings nur in unreiner Form.
Coating SiO2 Support with TiO2 or ZrO2 and Effects on Structure and CO Oxidation Performance of Pt Catalysts (2013)

In this work, we studied how TiO2 and ZrO2 coatings enhance the CO oxidation performance of SiO2-supported Pt catalysts under conditions relevant to automotive emissions control. SiO2 was coated with metal oxides TiO2 or ZrO2 by sol-gel method and the subsequent Pt loading was done by incipient wetness method. The prepared catalysts Pt/TiO2-SiO2 and Pt/ZrO2-SiO2 were compared with Pt/SiO2 and Pt/Al2O3 in fresh, sulfated, and hydrothermally aged states. The structure of the catalysts was characterized with BET, XRD, TEM, EDS, EXAFS, XANES, TPD and TPR to help interpret the CO oxidation performance. Higher dispersion, stability, and oxidation state of Pt were achieved on TiO2-SiO2 and ZrO2-SiO2 supports due to stronger metal-support interaction leading to superior CO oxidation performance compared to Pt/SiO2 and Pt/Al2O3. TiO2 and ZrO2 coatings introduced surface acidity but negligible basicity, which is a likely reason for the weak and low adsorption of SO2. The results suggest that the sol-gel coating of SiO2 with metal oxides could be an attractive strategy for designing automotive oxidation catalysts with enhanced performance such as low-temperature activity, sulfur tolerance, and hydrothermal stability.
Quantum dots semiconductor optical amplifier with a-3dB bandwidth of up to 120 nm in semi-cooled operation (2008)

More than 120 nm of -3 dB optical bandwidth, together with 10 dB of internal gain at 50°C, are demonstrated and explained with specially designed quantum dot semiconductor optical amplifiers.
Use of the Optimata Virtual Patient (OVP) to predict effects of sunitinib malate in advanced pancreatic cancer. (2011)

341 Background: Pancreatic cancer is considered to be incurable by available treatment modalities, with 5-year survival rate &lt;4%. Sunitinib malate (Sutent) significantly increased progression-free survival in patients with advanced islet cell tumors (pancreatic); however, it demonstrated only modest single-agent effect in a phase II study in patients with metastatic pancreatic adenocarcinoma (PaC) that progressed after first-line therapy with gemcitabine. To improve the response of PaC patients to drugs, the interplay between biologic, pathologic, and pharmacologic processes underlying drug-patient interactions have been mathematically modeled, predicting efficacy responses, different toxicities, and long-term tolerability in clinical trials, allowing for improved dosing regimens and patient selection (OVP engine) (Agur Z., 2010). The OVP engine was used to predict Sunitinib malate single-agent activity in advanced PaC. Methods: OVP replicated the observed growth patterns of human PaC. Pharmacokinetics (PK) and pharmacodynamics (PD) of sunitinib malate were modeled based on literature (NDA 21-938). Effects of sunitinib malate on human PaC xenografts were scaled to model PK/PD in human. To evaluate drug efficacy in advanced PaC patient-population, a Virtual PaC Patient- Population was created by replacing the population averaged parameter values in the model by their distribution in the population. Using this procedure, a large set of virtual patients was generated. Model simulations with sunitinib malate therapy (50 mg QD/28 days; 14 days rest [1 cycle]) enabled the prediction and classification of patients' response according to RECIST criteria and compared with the actual clinical response (O'Reilly et al, 2008). Results: Simulations of the FDA-approved schedule, predicted a stable disease in 81% of the patients following one treatment cycle and 54% following two treatment cycles. Stable disease was predicted to be the best observed response, which was confirmed in the clinical study. Conclusions: Our model predictions are compatible with clinical results of a recent phase II trial with the same treatment regimen of sunitinib malate (O'Reilly et al, 2008) and further suggest the use of mathematical model during drug development. [Table: see text]
Contribution of superoxide dismutase and catalase activities to Shigella flexneri pathogenesis (1990)

A Shigella flexneri serotype 5 strain deficient in the production of the iron-containing superoxide dismutase FeSOD (sodB) and a catalase-negative (katFG) S. flexneri serotype 5 strain were isolated. Both strains were examined for increased sensitivity to oxygen stress by using assays involving killing by mouse peritoneal macrophages and human polymorphonuclear leukocytes as well as infection of rabbit ileal loops. The sodB mutant was extremely sensitive to killing by phagocytes when compared with the wild-type parent, M90T. The catalase mutant also showed an increased sensitivity to killing, but to a much lesser extent. Upon infection of rabbit ileal loops and subsequent histopathological examination, the sodB mutant caused very little detectable damage to intestinal villi. The pattern of infection was roughly similar to that of BS176, an avirulent plasmidless derivative of M90T. The katFG mutant, on the other hand, showed a high degree of destruction, similar to that caused by M90T. This evidence suggests that the superoxide dismutase encoded by sodB may play an important role in the pathogenesis of S. flexneri. In contrast, catalases appear to make a limited contribution to virulence.
Incidence of Alopecia in Treatment of Women With Uterine Fibroids: Results of Two Phase 3 Trials of Linzagolix [A104] (2022)

INTRODUCTION: Although hair loss (alopecia) is a benign disorder, it can negatively affect patient's self-esteem, self-image, and overall quality of life. Linzagolix is an oral GnRH antagonist being developed at full and partial suppression doses with and without hormonal add-back therapy (ABT) for treatment of uterine fibroid-related symptoms. Alopecia was previously reported with other GnRH antagonists. METHODS: PRIMROSE 1 and 2 are two randomized, double-blind, placebo-controlled phase 3 trials investigating the efficacy and safety of linzagolix 100 mg and 200 mg once daily, +/- ABT in the treatment of uterine fibroids for 52 weeks. RESULTS: Up to week 24, alopecia was reported in total of five subjects (0.5%) in the pooled safety analysis set (N=1037). There was a similar incidence in the placebo (two subjects; 1.0%), 100 mg (one subject; 0.5%), and 200 mg+ABT groups (two subjects; 1.0%), and no reports in the 100 mg+ABT or 200 mg groups. Four of the cases resolved. For one subject (200 mg+ABT group) mild alopecia had not resolved. For this subject, the study drug was continued, and no concomitant therapy was administered for the alopecia. Up to week 52, one (0.1%) subject in the 200 mg+ABT group reported alopecia, which resolved. None of the cases led to treatment discontinuation. No subjects reported alopecia during the post-treatment follow-up. CONCLUSION: Hair loss (alopecia) was rarely observed in the PRIMROSE trials of linzagolix in the treatment of uterine fibroids.
A highly integrated analog baseband transceiver featuring a 12-bit 180MSPS pipelined A/D converter for multi-channel wireless LAN (2004)

This analog baseband transceiver features a 12-bit, 180MSPS pipelined ADC with -71dBFS THD and 61dB SNR sharing substrate with dual I/Q 10-bit 180MSPS D/A converters and low-jitter DLL/digital buffers. Fabricated in the IBM BiCMOS6HP process and packaged in a low-inductance 6-layer flip-chip, the ADC consumes a total of 1.2W at 3.3V. The converter utilizes 1.5b/stage switched-capacitor stages with a wide-band, high-gain opamp employing 2.5V bipolar devices, a dedicated track/hold amplifier, and a voltage reference without an amplifier.
TLC-TOF SIMS monitoring of zinc complex origin — Carboxylate ligand movement (2002)

To characterize the stability and retention behavior of zinc carboxylato mixed-ligand complexes movement of the carboxylate ligand has been monitored by thin-layer chromatography coupled with time-of-flight secondary-ion mass spectrometry (TLC-TOF SIMS). Chromatography was performed on aluminum-backed RP-18 layers with a methanol-water mobile phase. After development the layers were coated with silver, from the vapor state, and the analytes were then eluted with a strongly polar mobile phase to a target channel. Analytes on targets defined by average RF values were analyzed by TOF SIMS. From preliminary analyses it was found that only zinc carboxylate complexes containing butyrate or isobutyrate anions as ligands could be detected and identified by TOF SIMS ( m/z 43, butyl, and m/z 87, butyrate). Further analysis was performed on the Zn(CH 3 CH 2 COO) 2 (tu) 2 complex only. It was found that butyrate anion moves in a spread chromatographic zone from the start of the layer. The maximum concentration of the carboxylate ligand was found at RF 0.33. From this position the intensity of the ions mentioned above decreases rapidly. This result confirms that the butyrate ligand of the Zn complex moves independently on an auxiliary (organic) ligand (thiourea) and partially on the zinc cation, confirming that the complex decomposes during chromatography.
Some Proposed Design Elements for Self-Organization Processes at Multiple Length Scales (2001)

No abstract prepared.
New local descriptors based on dissociated dipoles (2007)

This paper describes new local photometric descriptors based on dissociated dipoles for transformed images or rigid objects retrieval. Dissociated dipoles are non local differential operators proposed by Balas et al. [1] which have been proved to be more stable than purely local standard differential operators. In this paper, we define and compute specfic oriented dissociated dipoles around multi-resolution color Harris points and we form 20-dimensional normalized features, invariant to rotation, affine luminance transformations, negative or flip. In a comparison with extensively used SIFT descriptors, we show that such descriptors are more efficient while containing 6 times less information. This allows the complete retrieval to be both more efficient and faster. This strategy ranked first in ImagEval benchmark, which, as far as we know, is the only competition including a transformed image recognition task (or content-based copy retrieval task).
Use of Hidden Semi-Markov Models in the Prognostics of Shaft Failure (2006)

Vibration based mechanical diagnostics, such as used in health and usage monitoring systems (HUMS), can successfully identify anomalous components. For shafts, where damage can be directly measured as an exceedance in shaft order 1, 2 or 3 (a vibration vector 1, 2 or 3 times the RPM of the shaft), it is simply a matter of taking the spectrum of the vibration data, and noting if the magnitude of the shaft order frequency exceeds some threshold. In some cases, the component manufacturer has published limits. In other cases, statistics from a population of components are calculated, and a threshold is set such that the probability of the component being normal, when exceeding the threshold, is small. This event or fault detection is diagnostic in nature. To increase the utility of the HUMS system, the ability to predict the remaining useful life (RUL) on the component would greatly improve the operational readiness, reduce the logistic foot print and consequentially, reduce maintenance cost. The current diagnostics capability gives some marginal prognostic capacity (i.e. if the measured component health is deteriorating, one would suggest that maintenance will be required “soon”). Further benefit would be gained if a reliable estimate of the component’s RUL was similar to the logistic supply line time scale. That is, 50 to 100 operating hours of advance notice vs. 2 to 5 hours of notice currently available.