gebhart/patrepeval huggingface dataset:
Web-based monitoring, logging and reporting tools for multi-service multi-modal systems (2000)

This paper describes MILER (Multi-modal data Logger for Evaluation and Report), a web-based multi-service monitoring, logging and reporting tool for advanced multi-modal dialog systems.MILER has been designed to directly arrange and synchronize logging data collected from live services and to provide real-time reports about service usage and system performance.Special attention has been given to the architecture design in order to achieve service and access-device independence and reliable synchronization of data from distributed logs.MILER allows researchers to analyze multimodal interactions, analyze the call flow, reconstruct the system/user dialogue turns, play the recorded user utterances, and provide a preliminary dialogue performance evaluation.It also supports labeling and annotation of the dialogue turns for further offline analysis.Once the user inputs (i.e.speech and other input modalities) are manually transcribed and labeled, along with detailed log events from each dialog, MILER derives a set of objective measures, which includes word and concept accuracy, number of attempts per concept, dialog turn counts and duration, and task completion rates.Subjective measures extracted from user's surveys, including perceived task success and ease of use measures, can be combined with the objective measures and the results used later for accuracy computation.
Biologically Inspired Nanomaterials: A Conference Report (2007)

The understanding of the nanoscale physical properties of biomolecules and biomaterials will ultimately promote the research in the biological sciences. In this review, we focused on theory, simulation, and experiments involving nanoscale materials inspired by biological systems. Specifically, self-assembly in living and synthetic materials, bio-functionalized nanomaterials and probing techniques that use nanomaterials are discussed.
Non-iterative direct data-driven controller tuning for multivariable systems: theory and application (2012)

In this study, a data-driven technique is proposed to deal with multivariable fixed-order controller design. The method is based on the virtual reference feedback tuning (VRFT) philosophy and thus does not require any model of the plant. Unlike standard VRFT for SISO systems, extended instrumental variables and variance weighting are used to counteract the effect of noise and achieve consistent controller estimate with a single set of input–output data. The proposed strategy is numerically compared to other existing direct and indirect techniques on a benchmark simulation example. The effectiveness of the method is finally tested on the airpath control of a real diesel engine.
New simple methods for isolating baroreceptor regions of carotid sinus and aortic depressor nerves in rats (1999)

We developed new methods for isolating in situ baroreceptor regions of carotid sinus and aortic depressor nerves in halothane-anesthetized rats. After ligation of the root of the external carotid artery, the internal carotid and pterygopalatine arteries were embolized with two ball bearings of 0.8 mm in diameter. Bilateral carotid sinus pressures were changed between 60 and 180 mmHg in 20-mmHg steps lasting 1 min each. The sigmoidal steady-state relationship between aortic and carotid sinus pressures in 11 rats indicated the maximum gain of the carotid sinus baroreflex to be -2. 99 +/- 0.75 at 120 +/- 5 mmHg. An in situ isolation of the baroreceptor area of the right aortic depressor nerve could be made by ligation of the innominate, common carotid, and subclavian arteries in 9 rats. Pressure imposed on the subclavian baroreceptor was altered between 40 and 180 mmHg in 20-mmHg steps lasting 1 min each. The sigmoidal steady-state relationship between the aortic depressor nerve activity and imposed pressure showed that the baroreceptor gain peaked at 118 +/- 4 mmHg. We established an easy approach to the rat baroreflex and baroreceptor research.
Impact of High Throughput Experimentation on Homogeneous Catalysis Research (2014)

Abstract As new tools and techniques have become available, the expansion of high throughput experimentation into the broader chemical community has occurred, with the application of this infrastructure moving beyond biologically focused research and into the mainstream of materials and catalytic research. The study of homogeneous catalysis has been significantly impacted by the application of high throughput research. For research problems where the number of variables are very high, these tools are ideally suited to significantly increase the experimental output and speed the time for discovery and development of new catalysts and catalytic applications. In addition, high throughput experimentation provides for an opportunity to conduct a much more diverse structure activity study of new catalyst families and, with the greater experimental throughput, allows researchers to explore more “out of the box” solutions. In this Comment, the impact of homogeneous catalysis high throughput research at The Dow Chemical Company and in the broader catalysis community will be reviewed and examples of high throughput research towards the major areas in this field will be highlighted. Keywords: combinatorial chemistryhigh throughput researchhigh throughput workflowshomogeneous catalysisHTR Notes Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/gcic.
Abdominal Aortic Aneurysms (2018)

The primary risk factors associated with increased risk for abdominal aortic aneurysm (AAA) include male gender, advanced age, greater height, coronary artery disease (CAD), atherosclerosis, hyperlipidemia (HLD), hypertension (HTN), smoking, and genetic predisposition. The primary indications for repair of AAAs are based on the presence of rupture, suspicion of impending rupture, presence of symptomatology, and size. Currently, there are six Food and Drug Administration (FDA)-approved stent grafts available for the repair of infrarenal AAAs. Endovascular aneurysm repair (EVAR) for infrarenal AAA with one of the FDA-approved devices requires bilateral common femoral artery access. The management of AAAs is complicated by the presence of concomitant common iliac artery aneurysms (CIAAs). Post-operative complications after EVAR include endoleak, migration, iliac limb occlusion, infection, and rupture. The potential for late complications is significant for patients who have undergone EVAR.
Performance and Durability of Advanced Environmental Barrier Coating Systems (2018)

This paper summarizes recent NASA environmental barrier coating (EBC) material advances for protecting the SiC/SiC Ceramic Matrix Composites (CMCs) for meeting next generation turbine engine performance requirements. We particularly present an advanced multicomponent rare earth silicate EBCs with HfO2-Si bond coat system, the temperature capability, environmental stability, and thermomechanical durability, advanced laboratory testing toward subelement demonstrations. Fundamental coating properties of the coating system will also be discussed, with the emphasis on the coating diffusion barrier performance and Calcium Magnesium Alumino-Silicate (CMAS) resistance.
Introduction to the Special Section on Selected Papers from ICCPS 2021 (2022)

The articles in this special section are based on selected papers presented at the 2021 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2021), a premier single-track conference that promotes development of fundamental principles that underpin the integration of cyber and physical elements, as well as the development of technologies, tools, architectures, and infrastructure for the design and implementation of CPS. ICCPS 2021 focused on contributions related to smart and connected cities, autonomous CPS, verification and control, security and privacy, and human health and biomedical CPS.
Energy performance and climate dependency of technologies for fresh water production from atmospheric water vapour (2020)

Solving the water scarcity problem by enhancing water extraction from air technology.
Scalable modeling and wideband measurement techniques for a signal TSV surrounded by multiple ground TSVs for RF/high-speed applications (2012)

The advantages of single-ended transmission lines are their simplicity and high flexibility of interconnection. Generally, shielding with additional ground lines is essential to improving the immunity of single-ended RF/high-speed signals against noise. However, this approach is very difficult to realize for a single-ended through silicon via (TSV) in 3D ICs because of the strong dependence of characteristic impedance on the number of ground TSVs. To address this issue, this work provides a physical and scalable equivalent-circuit model of a signal TSV that is circularly surrounded by multiple ground TSVs. Additionally, with the help of a double-sided probing system, wideband measurements of S-parameters of up to 40 GHz and eye-diagrams of 40 Gb/s signal are made to validate the modeled results.
Efficient Synthesis of 3,5,6‐Trisubstituted‐1,2,4‐triazines in the Broensted Acidic Ionic Liquid, 1‐n‐Butylimidazolium Tetrafluoroborate ([Hbim]BF4). (2007)

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, please click on HTML or PDF.
Graphene Photodetectors: High‐Responsivity Near‐Infrared Photodetector Using Gate‐Modulated Graphene/Germanium Schottky Junction (Adv. Electron. Mater. 6/2019) (2019)

In article number 1800957, K. E. Chang et al. report that photodetector cells fabricated with a graphene layer between the semiconductor and gate dielectric show much higher carrier flux than devices without such a layer. In fact, they find that the number of holes generated is higher than the number of electrons, due to a unique gain mechanism that is controlled by the gate bias and that originates from enhanced band bending at the graphene/semiconductor interface.
Abstract A248: Substituted 4-amino-1H-pyrazolo[3,4-d]pyrimidines as multitargeted inhibitors targeting insulin-like growth factor-1 receptor (IGF1R) and members of ErbB-family receptor tyrosine kinases (2009)

Abstract Insulin-like growth factor-1 receptor (IGF1R) and members of ErbB family (eg. EGFR, ErbB2) are receptor tyrosine kianses that play significant roles in cancer and have been pursued as drug targets for cancer therapy. There is substantial evidence for the existence of reciprocal cross-talk between IGF1R axis and ErbB axis of cellular signaling. Acquired resistance to EGFR inhibitors gefitinib and erlotinib or ErbB2 inhibitor trastuzumab has been linked to activation of IGF1R signaling through induced overexpression of IGF1R or loss of IGF binding- proteins. Additionally, synergy between IGF1R inhibition and ErbB inhibition has been demonstrated in cancer cell growth inhibition and in xenograft models. Thus, molecules targeting both IGF1R and ErbB-family might have superior anti-tumor efficacy. This poster describes the lead discovery, optimization and biological characterization of a series of substituted 4-amino-1H-pyrazolo[3,4-d]pyrimidines as potent inhibitors of IGF1R, EGFR and ErbB2. The leading compound, A-923573, showed IGF1R IC50 of 12 nM, EGFR (L858R) IC50 of 31 nM and ErbB2 IC50 of 11 nM, potent activity in cellular functional assays and anti-proliferation assays, as well as in an in vivo pharmacodynamic assay. Citation Information: Mol Cancer Ther 2009;8(12 Suppl):A248.
New efficient copper fluoride‐based catalyst for enantioselective hydrosilylation of ketones in aerobic conditions (2001)

Abstract A new copper(II) fluoride–chiral diphosphines catalytic system was developed. This one is very efficient and selective for the hydrosilylation of several substituted or unsubstituted aromatic ketones in so far as moderate to excellent enantioselectivities were obtained. An oxygen acceleration effect was observed that led us to propose a practical protocol with a low amount of catalyst.
A new dynamic synapse neural network for speech recognition (2002)

A new version of dynamic synapse neural network (DSNN) has been applied to recognize noisy raw waveforms of words spoken by multiple speakers. The new architecture of DSNN is based on the original DSNN and a wavelet filter bank, which decomposes speech signals in multiresolution frequency bands. In this study we applied a genetic algorithm (GA) learning method to optimize the neural network. The advantage of the GA method is that it facilitates finding of a semi-optimal parameter set in the search space domain. In order to speed up the training time of the network, a new discrete time implementation of the DSNN was introduced based on the impulse invariant transformation. The network was tested for difficult discrimination conditions.
Improved operational lifetime of deep-red phosphorescent organic light-emitting diodes using a benzothienobenzothiophene (BTBT)-based p-type host material (2021)

Highly efficient and stable deep red OLED is successfully developed by using a BTBT-based p-type host material. This OLED exhibits higher efficiency, and over ×5 longer lifetime than that based on the conventional p-type host material, NPD.
Controlling Stereochemistry in Radical Addition and Cyclization Reactions with Oppolzer's Camphor Sultam (1994)

Acrylate derivatives of Oppolzer's camphor sultam exhibit good to excellent levels of stereoselectivity in typical radical allylations and alkene and alkyne cyclizations
Energy Analysis and Diagnostics: A Computer Based Tool for Industrial Self Assessment (1995)

The United States has a high per capita consumption of energy when compared with other countries in the world. In order to remain competitive in the "global marketplace", US manufacturing must extract the highest percentage of productive energy from each BTU of energy produced. This paper describes the design and development of a computer based tool (ENERGEX) which aids the industrial user in developing energy conservation opportunities (ECOs) in plants. The software system is capable of recommending ECOs in areas such as boilers, motor selection, analysis of belt driven systems, destratification, insulation of heated surfaces, and air compressor operation. The system has been designed so as to query the industrial user on aspects related to the plant, from which the most appropriate ECO list is and presented for further analysis. The paper describes the design of the software system, elements of knowledge base design, data transfer, and input/output design.
Deep convolutional neural networks in the classification of dual-energy thoracic radiographic views for efficient workflow: analysis on over 6500 clinical radiographs (2020)

DICOM header information is frequently used to classify medical image types; however, if a header is missing fields or contains incorrect data, the utility is limited. To expedite image classification, we trained convolutional neural networks (CNNs) in two classification tasks for thoracic radiographic views obtained from dual-energy studies: (a) distinguishing between frontal, lateral, soft tissue, and bone images and (b) distinguishing between posteroanterior (PA) or anteroposterior (AP) chest radiographs. CNNs with AlexNet architecture were trained from scratch. 1910 manually classified radiographs were used for training the network to accomplish task (a), then tested with an independent test set (3757 images). Frontal radiographs from the two datasets were combined to train a network to accomplish task (b); tested using an independent test set of 1000 radiographs. ROC analysis was performed for each trained CNN with area under the curve (AUC) as a performance metric. Classification between frontal images (AP/PA) and other image types yielded an AUC of 0.997 [95% confidence interval (CI): 0.996, 0.998]. Classification between PA and AP radiographs resulted in an AUC of 0.973 (95% CI: 0.961, 0.981). CNNs were able to rapidly classify thoracic radiographs with high accuracy, thus potentially contributing to effective and efficient workflow.
Path- and index-sensitive string analysis based on monadic second-order logic (2013)

We propose a novel technique for statically verifying the strings generated by a program. The verification is conducted by encoding the program in Monadic Second-order Logic (M2L). We use M2L to describe constraints among program variables and to abstract built-in string operations. Once we encode a program in M2L, a theorem prover for M2L, such as MONA, can automatically check if a string generated by the program satisfies a given specification, and if not, exhibit a counterexample. With this approach, we can naturally encode relationships among strings, accounting also for cases in which a program manipulates strings using indices. In addition, our string analysis is path sensitive in that it accounts for the effects of string and Boolean comparisons, as well as regular-expression matches. We have implemented our string analysis algorithm, and used it to augment an industrial security analysis for Web applications by automatically detecting and verifying sanitizers —methods that eliminate malicious patterns from untrusted strings, making these strings safe to use in security-sensitive operations. On the 8 benchmarks we analyzed, our string analyzer discovered 128 previously unknown sanitizers, compared to 71 sanitizers detected by a previously presented string analysis.
Improving imputation in disease-relevant regions: lessons from cystic fibrosis (2018)

Does genotype imputation with public reference panels identify variants contributing to disease? Genotype imputation using the 1000 Genomes Project (1KG; 2504 individuals) displayed poor coverage at the causal cystic fibrosis (CF) transmembrane conductance regulator (<i>CFTR</i>) locus for the International CF Gene Modifier Consortium. Imputation with the larger Haplotype Reference Consortium (HRC; 32,470 individuals) displayed improved coverage but low sensitivity of variants clinically relevant for CF. A hybrid reference that combined whole genome sequencing (WGS) from 101 CF individuals with the 1KG imputed a greater number of single-nucleotide variants (SNVs) that would be analyzed in a genetic association study (<i>r</i><sup>2</sup> ≥ 0.3 and MAF ≥ 0.5%) than imputation with the HRC, while the HRC excelled in the lower frequency spectrum. Using the 1KG or HRC as reference panels missed the most common CF-causing variants or displayed low imputation accuracy. Designs that incorporate population-specific WGS can improve imputation accuracy at disease-specific loci, while imputation using public data sets can omit disease-relevant genotypes.
Transport-mechanism analysis of the reverse leakage current in GaInN light-emitting diodes (2011)

The reverse leakage current of a GaInN light-emitting diode (LED) is analyzed by temperature dependent current–voltage measurements. At low temperature, the leakage current is attributed to variable-range-hopping conduction. At high temperature, the leakage current is explained by a thermally assisted multi-step tunneling model. The thermal activation energies (95–162 meV), extracted from the Arrhenius plot in the high-temperature range, indicate a thermally activated tunneling process. Additional room temperature capacitance–voltage measurements are performed to obtain information on the depletion width and doping concentration of the LED.
Identification of host cell factors required for intoxication through use of modified cholera toxin (2011)

We describe a novel labeling strategy to site-specifically attach fluorophores, biotin, and proteins to the C terminus of the A1 subunit (CTA1) of cholera toxin (CTx) in an otherwise correctly assembled and active CTx complex. Using a biotinylated N-linked glycosylation reporter peptide attached to CTA1, we provide direct evidence that ~12% of the internalized CTA1 pool reaches the ER. We also explored the sortase labeling method to attach the catalytic subunit of diphtheria toxin as a toxic warhead to CTA1, thus converting CTx into a cytolethal toxin. This new toxin conjugate enabled us to conduct a genetic screen in human cells, which identified ST3GAL5, SLC35A2, B3GALT4, UGCG, and ELF4 as genes essential for CTx intoxication. The first four encode proteins involved in the synthesis of gangliosides, which are known receptors for CTx. Identification and isolation of the ST3GAL5 and SLC35A2 mutant clonal cells uncover a previously unappreciated differential contribution of gangliosides to intoxication by CTx.
Quantification of Internal Carotid Artery Flow with Digital Subtraction Angiography: Validation of an Optical Flow Approach with Doppler Ultrasound (2013)

A new model-free optical flow technique was tested reliably on the ICA. DSA-based blood flow velocity measurements were essentially validated with Doppler sonography whenever the conditions of measurable pulsatility were achieved (injection rates = 1.5 and 2.0 mL/s).
Portable mass spectrometry system: instrumentation, applications, and path to ‘omics analysis (2022)

Mass spectrometry (MS) is an information rich analytical technique and plays a key role in various 'omics studies. Standard mass spectrometers are bulky and operate at high vacuum, which hinder their adoption by the broader community and utility in field applications. Developing portable mass spectrometers can significantly expand the application scope and user groups of MS analysis. This review discusses the basics and recent advancements in the development of key components of portable mass spectrometers including ionization source, mass analyzer, detector, and vacuum system. Further, major areas where portable mass spectrometers are applied are also discussed. Finally, a perspective on the further development of portable mass spectrometers including the potential benefits for 'omics analysis is provided.
Effect of tetrahedral amorphous carbon coating on the resistivity and wear of single-walled carbon nanotube network (2016)

Single walled carbon nanotube networks (SWCNTNs) were coated by tetrahedral amorphous carbon (ta-C) to improve the mechanical wear properties of the composite film. The ta-C deposition was performed by using pulsed filtered cathodic vacuum arc method resulting in the generation of C+ ions in the energy range of 40–60 eV which coalesce to form a ta-C film. The primary disadvantage of this process is a significant increase in the electrical resistance of the SWCNTN post coating. The increase in the SWCNTN resistance is attributed primarily to the intrinsic stress of the ta-C coating which affects the inter-bundle junction resistance between the SWCNTN bundles. E-beam evaporated carbon was deposited on the SWCNTNs prior to the ta-C deposition in order to protect the SWCNTN from the intrinsic stress of the ta-C film. The causes of changes in electrical resistance and the effect of evaporated carbon thickness on the changes in electrical resistance and mechanical wear properties have been studied.
ChemInform Abstract: The Natural Bite Angle of Chelating Diphosphines. (1991)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 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.
Magnetic Resonance Imaging of the Temporomandibular Joint (2000)

Magnetic resonance imaging (MRI) is becoming a deservedly popular procedure for assessing the numerous conditions that affect the temporomandibular joint (TMJ). Although the most common indication is for evaluation of suspected internal derangement of the joint, many other TMJ abnormalities, such as the arthritides and trauma, lend themselves well to MRI investigation. Its superb soft tissue contrast and multiplanar capabilities make MRI the best single test for evaluating the TMJ, and being noninvasive, it is well tolerated. This chapter discusses the anatomy of the TMJ, technical tips for obtaining an optimal study, and the disease processes affecting this area.1