gebhart/patrepeval huggingface dataset:
2901 Self-Excited Vibration of Vibrating Screen (2008)

This paper describes an experimental study on self-excited vibration of a vibrating screen. We investigate the motions of granular material, the effects of frequency of forced vibration and mass flow rate of granular material of the vibrating screen. Consequently, self-excited vibration is observed.
<title>Initial Results From An Interferogram-Based Search System</title> (1981)

Search algorithms based on the time (or distance) domain representation of the infrared absorption spectrum were constructed and demonstrated. Preliminary results indicate significant advantages in speed, reliability, and efficiency of the search systems over the traditional spectrum-based method. A direct interferogram-based search system with a high degree of reliability was demonstrated for the first time and the requirements for an instrument-independent data were delineated.
Course of Primary Candidiasis in T Cell-Depleted Mice Infected with Attenuated Variant Cells (1992)

Anti-CD4, anti-CD8, or anti-interferon-gamma (IFN-gamma) antibodies or combinations of them were administered in the early stages of chronic infection of mice with a Candida albicans live vaccine strain, and the animals were monitored for course of primary infection, development of delayed-type hypersensitivity, resistance to reinfection, production of interleukin 2 (IL-2) and IFN-gamma in vitro by splenic lymphocytes, and levels of IL-2 and IFN-gamma transcripts in these cells. CD4+ cell and IFN-gamma depletion resulted in the development of fatal candidiasis by the attenuated yeast vaccine. In contrast, either treatment alone modified the course but not the outcome of primary infection, though each prevented the development of resistance to reinfection. Our data thus indicate that both IFN-gamma and CD4+ cells participate in resistance to primary infection with attenuated yeast cells and are critical in the induction of persistent systemic anticandidal immunity.
A scalable wavelength-hopping, time-spreading optical-CDMA system (2005)

In this paper, we have shown that optical code division multiplexing (O-CDMA) systems at 10 Gb/s that can support at least 10 simultaneous users with BER<10/sup -9/ can be effectively designed for implementation in real networks. The carrier-hopping prime code is chosen to offer the optimum correlation values and maximum cardinality while providing a satisfactory bit error rate (BER). The encoder design can be advantageous of scalability allowed by increasing the code matrix size and the complementary decoder reduces cardinality limitations.
GTO characterization for zero voltage switching applications (2002)

GTO applications limitations are investigated under hard and soft switching topologies as device output power and device switching frequency are simultaneously increased. Characterization test results and a P-Spice GTO model simulating device turn-off are used in the investigation. The most significant improvement under soft switching is seen to be an elimination of the voltage spike normally associated with hard switch GTO turn-off. The impact of this on turn-off capability and switching frequency is investigated in detail.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
A phase I/II trial of melphalan (MEL) combined with panobinostat (PAN) for patients with relapsed or refractory (R/R) multiple myeloma (MM). (2012)

e18558 Background: PAN, a potent histone deacetylase inhibitor, significantly inhibits the growth of MM cells in vitro and enhances the cytotoxicity of standard chemotherapy. Studies with our SCID-hu MM models show an increased inhibition of MM cell growth when PAN was combined with MEL compared to treatment with either drug alone. These preclinical studies provided the rationale for evaluating the combination of oral MEL with oral PAN for the treatment of MM patients with R/R disease. Methods: This was a Phase 1/2, open-label, dose‑escalation study to treat R/R MM patients initially using oral PAN every Monday, Wednesday and Fridayin combination with oral MEL (0.05 mg/kg) on days 1-5 of a 28‑day cycle. Results: Thirty-seven patients were enrolled into the Phase 1 portion of this study. The median number of prior regimens received were 4 (range, 1-17) with 22 patients previously treated with MEL. Following amendments to dose and schedule because of toxicity including cytopenias and fatigue, PAN and MEL were both administered only on days 1, 3 and 5 of a 28-day cycle. The maximum tolerated dose for this combination was defined as PAN at 20 mg and MEL at 0.05 mg/kg both administered on only days 1, 3 and 5. Overall, 4 patients (11%) showed objective responses to this combination with 1 complete (3%) and 3 partial (8%) responses and only occurred among patients receiving PAN throughout the cycle. An additional 18 (49%) patients had stable disease while 15 (41%) progressed while on study. Eighteen patients experienced grade 3 or 4 adverse events (AEs) with 6 of these meeting the definition of a dose-limiting toxicity. These AEs included reversible thrombocytopenia (n=11), reversible neutropenia (n=10), reversible worsening anemia (n=3), and one case each of a forearm rash, fatigue/weakness, pneumonia, hypokalemia and hyponatremia. Three more patients who are not yet evaluable have been enrolled into the Phase 2 portion to complete the planned 40 patients on the trial. Conclusions: The combination of intermittent PAN & low-dose oral MEL shows modest activity in heavily pretreated patients with R/R MM. Continuous doses of PAN with MEL yielded better efficacy but this treatment schedule was not tolerable.
Distance Metric Learning for Content Identification (2010)

This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database (DB) that measures the shortest distance to the query fingerprint. For a given training set consisting of original and distorted fingerprints, a distance metric equivalent to the l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> norm of the difference of two linearly projected fingerprints is learned by minimizing the false-positive rate (probability of perceptually dissimilar content to be identified as being similar) for a given false-negative rate (probability of perceptually similar content to be identified as being dissimilar). The learned metric can perform better than the often used l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> distance and improve the robustness against a set of unexpected distortions. In the experiments, the distance metric learned by the proposed algorithm performed better than those metrics learned by well-known DML algorithms for classification.
Facteurs de croissance hématopoïétiques. Une place dans le traitement des syndromes myélodysplasiques (1997)

Les syndromes myelodysplasiques (SMD) comportent des cytopenies sanguines et apparaissent a premiere vue comme de bons candidats a un traitement par facteurs de croissance hematopoietiques meme si, d'une facon generale, dans les syndromes myelodysplasiques, aucune anomalie de synthese des facteurs de croissance hematopoietiques (FCH) et aucune anomalie de leurs recepteurs n'est retrouvee. Le G-CSF et le GM-CSF sont capables de corriger aux doses conventionnelles (5mg par kg par jour) la neutropenie dans trois quarts des cas environ. Meme si la crainte que ces FCH favorisent la transformation en leucemie aigue ne s'est pas confirmee, sauf cas tres particulier, l'interet de ces facteurs sur la frequence des infections et sur la survie des patients n'a pas ete clairement demontre. Leur utilisation au long cours se heurte par ailleurs a un cout tres eleve. Cet obstacle pourrait cependant etre leve par l'utilisation de tres faibles doses de G-CSF ou GM-CSF (0,5 a 1mg par kg par jour) qui permettent de corriger la neutropenie dans 50 a 65% des cas. L'erythropoietine, meme a forte dose, ne peut corriger l'anemie des syndromes myelodysplasiques que dans 15% des cas environ. De facon assez inattendue, ce pourcentage s'eleve a 40% avec l'association erythropoietine et G-CSF ou erythropoietine et GM-CSF. En ce qui concerne la thrombopenie des syndromes myelodysplasiques, l'interleukine3 ne presente qu'une efficacite moderee dans seulement 20% des cas environ et l'interleukine6 dans un tiers des cas, mais au prix d'une toxicite importante. C'est pourquoi l'arrivee de la thrombopoietine en clinique humaine est attendue par les cliniciens traitant des syndromes myelodysplasiques avec thrombopenie severe.
Converting 10-MW nanosecond laser pulses into 5-GW 500 FS tunable dye laser pulses (1997)

Different ways to produce high-power short laser pulses have been investigated using low-Q short cavity dye lasers and a nanosecond laser pumping. A powerful 500-fs widely tunable ultrashort pulsed laser device is developed using a single standard nanosecond Nd:YAG laser as a pumping source. Two pulse-shortening techniques are combined within this compact and cheap dye laser device. The first technique, called the spectro-temporal selection, is extended to generation of < 100 ps pulses at wavelengths adjustable in the 320-700 nm spectral range. The second technique makes use of an extra- cavity pulse treatment of low-Q dye laser microcavity output pulses by nonlinear resonant processes in dye media to generate single 500-fs pulses. High-power continuously tunable subpicosecond pulses in the 430-850 nm spectral range are produced by supercontinuum generation, spectral selection and amplification in dye amplifiers. Using the pumping pulses from the nanosecond Nd:YAG laser, such a system has achieved 5-GW peal power levels between 50 nm and 670 nm.
Development of hard pellicle for 157 nm (2002)

Projection photolithography at 157 nm is now under research as a possible extension of current 248 nm and planned 193 nm technologies .We have found that a thin-film fused silica glass pellicle would be available to 157nm lithography because of its high durability to F2 laser irradiation . In this paper, we present the performance of the hard pellicle made of AQF. Transmission is 97.6 percent when AR films are coated on both surfaces, and its uniformity at 157.6 nm is better than +/- 0.2 percent, and birefringence is within 1 nm. We developed a new evaluation system of a hard pellicle bending in horizontal position and in vertical position. We achieved less than 1um sagging with 800um thickness membrane and glass frame made of modified fused silica in horizontal position.
Transcriptional analysis of physiological pathways in a generalist herbivore: responses to different host plants and plant structures by the cotton bollworm, <i>Helicoverpa armigera</i> (2012)

Abstract The generalist cotton bollworm, Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae), can consume host plants in more than 40 families, and often utilizes several tissues of a single plant. It is believed that generalists owe their success to the deployment of various members of multigene families of detoxification and digestive enzymes, a strategy that may also be responsible for rapid evolution of insecticide resistance. However, studies of generalist adaptations have been limited to specific genes or gene families, and an overview of how these adaptations are orchestrated at the transcriptional level is lacking. We used Drosophila melanogaster Meigen gene homology to H. armigera ‐expressed sequence tags to identify key groups of genes and pathways differentially regulated in the gut of fifth instars after 2 days of feeding on a variety of food sources. A series of microarray hybridizations was performed following two alternating loop designs, one comparing the gut gene expression upon feeding on various hosts (cotton, bean, tobacco, and chickpea) and two artificial diets (pinto bean and wheat germ‐based), whereas the second design compared the gut expression toward feeding on various plant structures within cotton (leaf, square, and boll). The transcriptional responses toward bean and tobacco feeding treatments were more closely related in comparison with the rest of the diets, whereas the gene expression profiles toward cotton leaf and square‐feeding were highly similar. We furthermore found significant changes in several pathways not directly responsible for detoxification mechanisms. Genes involved in primary and secondary metabolism, environmental information processing, and cellular processes were found to be differentially expressed. In addition, regulation of xenobiotic metabolism and the extracellular matrix‐receptor pathways appeared differentially regulated across feeding treatments. Three cytochrome P450 genes – CYP6AE17, CYP6B6, and CYP9A17 – grouped as part of a xenobiotic metabolism pathway, were up‐regulated in the bean‐feeding treatment, and down‐regulated in both tobacco and cotton‐feeding treatments. CYP4L11, CYP4L5, and CYP4S13 were differentially expressed upon feeding on different cotton plant structures. The present work provides host plant and plant structure‐specific transcriptional responses in a lepidopteran herbivore, including pathways and gene candidates for future studies of H. armigera physiology under a more integrative ecologically meaningful framework.
Sodium fluoride provokes gonadotrope desensitization to gonadotropin- releasing hormone (GnRH) and gonadotrope sensitization to A23187: evidence for multiple G proteins in GnRH action (1992)

Pretreatment of pituitary cell cultures with GnRH causes altered gonadotrope responsiveness to LH secretagogues. The precise mechanism by which this occurs is not understood. Because a G protein appears to be activated after GnRH stimulation of the gonadotrope, a role for this moiety in GnRH-stimulated alterations in gonadotrope responsiveness was assessed. We show that 3 h pretreatment of pituitary cell cultures with 10 mM NaF (a G protein activator), resulted in decreased gonadotrope responsiveness to subsequent GnRH treatment (3 h, 100 nM; 34.4 +/- 1.6% vs. 23.4 +/- 1.5% of total cellular LH). NaF-provoked gonadotrope desensitization to GnRH also occurred in the presence of 3 mM EGTA and in cells which had been depleted of protein kinase C. Desensitization to GnRH did not occur in response to pretreatment with (Bu)2cAMP (8 h, 1 mM). In addition, neither GnRH nor NaF stimulated inositol phosphate production above basal levels after the NaF pretreatment. GnRH receptor binding also decreased by 30% with NaF pretreatment. In contrast, 3 h NaF (10 mM) pretreatment enhanced responsiveness of the gonadotrope to the Ca2+ ionophore A23187 in a protein kinase C- and cAMP-dependent manner. Responsiveness to the phorbol ester, phorbol 12-myristate 13-acetate, was also increased, whereas responsiveness to the Ca2+ channel activator maitotoxin was unchanged. These data suggest that G protein activation by NaF provokes gonadotrope desensitization to GnRH stimulation by both decreasing receptor numbers and by uncoupling of the receptors from inositol phosphate production. In addition, a distinct G protein action appears to be involved in sensitizing the gonadotrope to A23187 and phorbol 12-myristate 13-acetate.
Facilitating magnetic recording technology scaling for data center hard disk drives through filesystem-level transparent local erasure coding (2017)

This paper presents a simple yet effective design solution to facilitate technology scaling for hard disk drives (HDDs) being deployed in data centers. Emerging magnetic recording technologies improve storage areal density mainly through reducing the track pitch, which however makes HDDs subject to higher read retry rates. More frequent HDD read retries could cause intolerable tail latency for large-scale systems such as data centers. To reduce the occurrence of costly read retry, one intuitive solution is to apply erasure coding locally on each HDD or JBOD (just a bunch of disks). To be practically viable, local erasure coding must have very low coding redundancy, which demands very long codeword length (e.g., one codeword spans hundreds of 4kB sectors) and hence large file size. This makes local erasure coding mainly suitable for data center applications. This paper contends that local erasure coding should be implemented transparently within filesystems, and accordingly presents a basic design framework and elaborates on important design issues. Meanwhile, this paper derives the mathematical formulations for estimating its effect on reducing HDD read tail latency. Using Reed-Solomon (RS) based erasure codes as test vehicles, we carried out detailed analysis and experiments to evaluate its implementation feasibility and effectiveness. We integrated the developed design solution into ext4 to further demonstrate its feasibility and quantitatively measure its impact on average speed performance of various big data benchmarks.
Regioselective Mono and Homo/hetero Dihalogenation of the Benzothioxanthene Monoimide (2020)

Through the preparation and characterization of five new derivatives, the regioselective mono and di, homo and hetero, halogenation of the benzothioxanthene (BTXI) core is demonstrated herein. All structurally solved by X-ray crystallography, these complementary functionalized building blocks open doors to the design of new symmetrical and asymmetrical π-conjugated systems based on this promising but still under-explored rylene.
ChemInform Abstract: Synthesis of 5‐Arylhistidines via a Suzuki—Miyaura Cross‐Coupling. (2008)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Virtual sensor design (2004)

We present a virtual digital camera sensor, whose aim is to simulate a real (physical) image capturing sensor. To accomplish this task, the virtual sensor operates in two steps. First, it accepts a physical description of a given scene and simulates the entire process of photon sensing and charge generation in the sensor device. This process is affected by noise, mostly photon noise. Second, it adds to the image the noise that results from the electronic circuitry. We present a model for the different sources of noise relative to each sensor-based image formation step, and use measurements of real digital camera images to validate the model.
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data (2018)

Nowadays, multivariate time series data are increasingly collected in various real world systems, e.g., power plants, wearable devices, etc. Anomaly detection and diagnosis in multivariate time series refer to identifying abnormal status in certain time steps and pinpointing the root causes. Building such a system, however, is challenging since it not only requires to capture the temporal dependency in each time series, but also need encode the inter-correlations between different pairs of time series. In addition, the system should be robust to noise and provide operators with different levels of anomaly scores based upon the severity of different incidents. Despite the fact that a number of unsupervised anomaly detection algorithms have been developed, few of them can jointly address these challenges. In this paper, we propose a Multi-Scale Convolutional Recurrent Encoder-Decoder (MSCRED), to perform anomaly detection and diagnosis in multivariate time series data. Specifically, MSCRED first constructs multi-scale (resolution) signature matrices to characterize multiple levels of the system statuses in different time steps. Subsequently, given the signature matrices, a convolutional encoder is employed to encode the inter-sensor (time series) correlations and an attention based Convolutional Long-Short Term Memory (ConvLSTM) network is developed to capture the temporal patterns. Finally, based upon the feature maps which encode the inter-sensor correlations and temporal information, a convolutional decoder is used to reconstruct the input signature matrices and the residual signature matrices are further utilized to detect and diagnose anomalies. Extensive empirical studies based on a synthetic dataset and a real power plant dataset demonstrate that MSCRED can outperform state-of-the-art baseline methods.
A Microcomputer-based Model Robot System with Pulse-Width Modulation Control (1985)

Constructed of relatively inexpensive but realistic and durable elements, this model is a practical tool for training in robot operation and for research in robotic control systems.
Adapting hidden Markov models for ASL recognition by using three-dimensional computer vision methods (2002)

We present an approach to continuous American sign language (ASL) recognition, which uses as input 3D data of arm motions. We use computer vision methods for 3D object shape and motion parameter extraction and an ascension technologies 'Flock of Birds' interchangeably to obtain accurate 3D movement parameters of ASL sentences, selected from a 53-sign vocabulary and a widely varied sentence structure. These parameters are used as features for hidden Markov models (HMMs). To address coarticulation effects and improve our recognition results, we experimented with two different approaches. The first consists of training context-dependent HMMs and is inspired by speech recognition systems. The second consists of modeling transient movements between signs and is inspired by the characteristics of ASL phonology. Our experiments verified that the second approach yields better recognition results.
Targeting human PPN: few patients, numerous disputes (2007)

Sir, Dr Yelnik highlights an important issue, already extensively addressed (consider Mazzone et al ., 2007 a , b in response to Zrinzo and co-authors). Briefly, there is no doubt that some figures were misleading (Stefani et al ., 2007). In describing our original approach to the first six Parkinson's disease (PD) patients double-implanted in the subthalamic nucleus (STN) plus the pedunculopontine nucleus (PPN), we have emphasized the trajectory through …
MUCIN GLYCOSYLATION IS ALTERED BY PRO-INFLAMMATORY SIGNALING IN PANCREATIC-CANCER CELLS (2008)

Altered glycosylation on the surfaces or secreted proteins of tumor cells is commonly seen in pancreatic cancer and is thought to promote cancer progression. The factors leading to the changes in carbohydrate structures are incompletely understood. The activities of the glycosyltransferases involved in assembling O-glycans on mucins can be regulated by pro-inflammatory signaling, which also is common in pancreatic cancer and implicated in cancer progression. We therefore hypothesized that pro-inflammatory conditions can lead to alterations in cancer-associated glycans on mucins produced by pancreatic-cancer cells. A novel antibody-lectin array method enables the efficient profiling of both the protein levels and glycosylation states of multiple proteins in biological samples. We measured the effects of pro-inflammatory stimuli (oxidative stress and treatment with the cytokines IFNγ, IL-1α, and TNFα) on the expression and glycosylation of the mucins MUC1, MUC5AC, and MUC16 in multiple pancreatic cancer cell lines. Mucin glycosylation was significantly affected in specific cell lines, particularly in structures involving terminal galactose or N-acetylgalactosamine and O-glycan branching. Alterations to glycosylation occurred on more proteins and in more conditions than alterations to core-protein expression. In addition, the responses of the cell lines grouped according to the status of cell-surface markers that are associated with tumorigenicity. Cell lines bearing multiple tumorigenic markers showed evidence of increased O-glycan branching and presentation of terminal Lewis antigens, as compared to cell lines bearing few markers. These results suggest mechanisms whereby inflammation might influence tumor behavior in a cell-type specific manner through modulating the presentation of cancer-associated glycans.