gebhart/patrepeval huggingface dataset:
Force-assembly with friction (1994)

Previously, force-assembly has been defined as an assembly process for which a single admittance control law (i.e., a single nominal velocity in conjunction with a single mapping of forces to motions) can guarantee the proper assembly of a given pair of mating parts. As a testbed application of force-assembly, the insertion of a workpiece into a fixture consisting of multiple rigid fixture elements (fixels) is addressed. Previous work in this area has shown that, when workpiece/fixture contact is frictionless and positional error is infinitesimal, there always exists an admittance control law that will ensure the proper insertion of a workpiece into a deterministic fixture. When workpiece/fixture contact is frictionless, the workpiece/fixture contact force contains the relative positional information required to identify error-reducing motions. Friction between the workpiece and fixture, however, provides a disturbance to the geometrical information contained in the contact force. This paper addresses: 1) the identification of the conditions that must be satisfied for force-assembly with friction, and 2) the formulation and results of an optimization of the admittance control law to obtain the maximum value of friction that will satisfy the force-assembly conditions for a given workpiece/fixture combination. Results indicate that force-assembly fails when the contact forces are no longer characteristic. Forces are characteristic if the possible contact forces that may occur for one type of misalignment are unique to that type of misalignment.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Cometabolic degradation of trichloroethylene byBurkholderia cepaciaG4 with poplar leaf homogenate (2014)

Trichloroethylene (TCE), a chlorinated organic solvent, is one of the most common and widespread groundwater contaminants worldwide. Among the group of TCE-degrading aerobic bacteria, Burkholderia cepacia G4 is the best-known representative. This strain requires the addition of specific substrates, including toluene, phenol, and benzene, to induce the enzymes to degrade TCE. However, the substrates are toxic and introducing them into the soil can result in secondary contamination. In this study, poplar leaf homogenate containing natural phenolic compounds was tested for the ability to induce the growth of and TCE degradation by B. cepacia G4. The results showed that the G4 strain could grow and degrade TCE well with the addition of phytochemicals. The poplar leaf homogenate also functioned as an inducer of the toluene-ortho-monooxygenase (TOM) gene in B. cepacia G4.
The Soliton Frequency Stabilization and Raman Self-Frequency Shift Suppression in Fibers Doped Er And Tm Ions (1991)

The possibility of the Raman self-frequency shift [1-3] suppression is of great interest for both the high bit rate communication lines and the lasers with fiber cavities [4]. In the communication lines for picosecond pulses the frequency shifts are small. Frequency drift toward a maximum of the gain profile in an active fibers can compensate to some extent the effect of self-frequency shift. The possibility of frequency stabilization by the effect of frequency pulling under the gain profile was investigated by Blow et al [5]. The frequency pulling to some fixed frequency was predicted instead of the growing with the fiber length soliton frequency shift. The suppression of self-frequency shift due to Raman amplification in the field of external pump wave was experimentally investigated by Gouveia-Neto et al [6].
A Business Analysis of OLEV Applications for Bus Rapid Transit (2013)

This paper provides a business analysis of the application of On-Line Electric Vehicle (OLEV) to Bus Rapid Transit (BRT), comparing it with three other vehicle types: compressed natural gas, diesel, and battery-electric. It first develops a model to estimate the total cost of ownership for a nine-year span for each of the vehicle types under different scenarios of cruising speed, station frequency, and vehicle headway. These results indicate that OLEV becomes more attractive the more “BRT-like” the system becomes: smaller vehicle headways, lower station frequency, and higher speeds. In many cases the analysis shows that OLEV is the most cost-effective alternative. This work then combines these quantitative results with more qualitative concerns and external factors to perform a Strengths, Weaknesses Opportunities, and Threats (SWOT) analysis to consider external and qualitative concerns, especially pertaining to system location and uncertain future costs and technology capabilities. It concludes that installing OLEV for the proposed BRT route in the new Sejong City area is an attractive option, blending good system characteristics with government and institutional support, and it should act as a necessary stepping-stone to larger scale deployment.
Technology Implementation for Mental Health End Users: A Model to Guide Digital Transformation for Inpatient Mental Health Professionals (2023)

Digital transformation is the adoption of digital technologies by an entity in an effort to increase operational efficiency. In mental health care, digital transformation entails technology implementation to improve the quality of care and mental health outcomes. Most psychiatric hospitals rely heavily on "high-touch" interventions or those that require in-person, face-to-face interaction with the patient. Those that are exploring digital mental health care interventions, particularly for outpatient care, often copiously commit to the "high-tech" model, losing the crucial human element. The process of digital transformation, especially within acute psychiatric treatment settings, is in its infancy. Existing implementation models outline the development of patient-facing treatment interventions within the primary care system; however, to our knowledge, there is no proposed or established model for implementing a new provider-facing ministration tool within an acute inpatient psychiatric setting. Solving the complex challenges within mental health care demands that new mental health technology is developed in concert with a use protocol by and for the inpatient mental health professional (IMHP; the end user), allowing the "high-touch" to inform the "high-tech" and vice versa. Therefore, in this viewpoint article, we propose the Technology Implementation for Mental-Health End-Users framework, which outlines the process for developing a prototype of an IMHP-facing digital intervention tool in parallel with a protocol for the IMHP end user to deliver the intervention. By balancing the design of the digital mental health care intervention tool with IMHP end user resource development, we can significantly improve mental health outcomes and pioneer digital transformation nationwide.
An approach to local diffusion and global propagation in 1-dim. cellular neural networks (2002)

Summary form only given, as follows. We study the phenomena of local diffusion and global propagation in a one-dimensional CNN described by the space-invariant A-template A = [A/sub -1/ A/sub 0/ A/sub 1/]. Roughly speaking, a CNN behaves in a local diffusion mode when two distant cells do not influence each other if the states of a number r of adjacent cells located between these two cells have reached some value. It behaves in a global propagation mode otherwise, i.e. when one of these two cells can always influence the other one, whatever the value of the state of r adjacent cells located in between these two cells. We can then compute the values of the template parameters for which the CNN has one of these behaviors. The distinction between these two methods of information processing is a radical one that has many practical consequences on: stability; the influence of boundary conditions; the dependence of the number of stable equilibria on the number of cells; the existence of limit cycles; and on the lengths of transients. For example, we can prove that the number of stable equilibria grows exponentially with the number of cells if and only if the CNN has a local diffusion behavior. If it operates in a global propagation mode, this is no longer true, but periodic solutions (one of which can be explicitly computed) are then present for some types of boundary conditions.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Image contrast enhancement of multiple patterning features through lower light source bandwidth (2017)

DUV immersion lithography (ArFi) continues to be the primary lithographic method for semiconductor manufacturers. Use of ArFi lithography requires patterning budget improvements in the range of 1/10 nm especially for interconnect layers<sup>[1] </sup>; for advanced process technology nodes, every Angstrom counts. Previous investigations into the effects of light source bandwidth on imaging performance have provided the foundation for this work<sup>[2-10]</sup>. This study will focus on the increase in image contrast that 200 fm light source E95 bandwidth enables on Self-Aligned Double Patterning (SADP) and Self-Aligned Quadruple Patterning (SAQP) features. The impact of 200 fm E95 bandwidth on the CD and Edge Placement Error (EPE) performance of core (grating) and block features will be assessed using an imec 7 nm process node test vehicle. The on wafer experimental results will be compared with the simulation predicted responses of the target features to lower light source bandwidth.
Freeform illumination design model for multiple light sources simultaneously (2017)

In this paper, we have proposed an innovative model of freeform illumination design, which differs from the current model that covers almost all of the existing freeform illumination systems. In our model, a freeform illumination system is designed for multiple light sources simultaneously, rather than just for one certain source like the current model. All the sources have the same size, shape, intensity distribution, and other photometric characteristics, but are located at different positions or directions. Each source can individually achieve an illumination pattern on the target plane. All the patterns are expected to have the same size, shape, and illuminance distribution, but the position of each pattern has a linear relationship with the position or direction of the corresponding source. Two new (to our knowledge) illumination functions can be realized in our model, as the light sources are non-single and movable. The first one is the continuous scanning of the illumination pattern on the target plane, and the second one achieves a flexible, diverse, and controllable array of illumination patterns on the target plane. As an example, a coaxial freeform illumination system has been designed under the framework of this model, in which multiple collimated light sources are introduced simultaneously. The design method and process of the system are presented. The system is further promoted, and the two new illumination functions are explained in detail based on the design example.
Study of the onset of superconductivity in underdoped La2−xSrxCuO4 (2009)

The origin of the appearance of superconductivity in the high-transition-temperature (high-Tc) copper oxides has remained a subject of active inquiry. In order to address this issue, we chose La2−xSrxCuO4 as a model system and succeeded in fine controlling the hole concentration around the composition where Tc appears. Tc did not emerge smoothly at a critical hole concentration, xc. Tc and the absolute value of the Meissner signal below Tc increased progressively with Sr content x>xc. Measurements of magnetization versus temperature under hydrostatic pressure (P) are also reported for La2−xSrxCuO4, which has no charge reservoir. A dTc/dP> 0 found in 0.05 <x< 0.22 peaks out at x≈0.07. Comparison between these results and predictions from existing models for the high-Tc superconductivity has been made.
An x-y-z stage for scanning proximity microscopes using elastic elements (1991)

A stage design is presented that allows coarse motion of the sample in an STM-type instrument. The stage utilizes the bending motion of springs driven by micrometers to achieve coarse motion in x, y, and z, and has no sliding parts other than the micrometers themselves. The design is compact, precise, and has excellent vibration and thermal drift characteristics.
Interleukin-12 (IL-12) and IL-18 synergistically induce the fungicidal activity of murine peritoneal exudate cells against Cryptococcus neoformans through production of gamma interferon by natural killer cells (1997)

We examined the ability of interleukin-12 (IL-12) and IL-18 to induce the production of gamma interferon (IFN-gamma) and nitric oxide (NO) by murine peritoneal exudate cells (PEC) and to stimulate the growth-inhibitory activity of these cells against Cryptococcus neoformans. PEC produced IFN-gamma and NO when stimulated with a combination of IL-12 and IL-18 but little or no IFN-gamma or NO when either cytokine was used alone. PEC anticryptococcal activity was mediated by IFN-gamma and NO production, since it was completely inhibited by a neutralizing anti-IFN-gamma monoclonal antibody (MAb) and N(G)-monomethyl-L-arginine, a competitive inhibitor of NO synthesis, respectively. To identify the IFN-gamma-producing cells among PEC stimulated with IL-12 and IL-18, we depleted NK cells, gammadelta T cells, or CD4+ T cells by treating PEC with specific Abs and complement. NK cell depletion strongly suppressed IFN-gamma production and almost completely inhibited NO production and anticryptococcal activity, while depletion of other cells had no such influence. Alternatively, purified NK cells by two cycles of glass adherence and magnetic separation with anti-CD3, -CD4, -CD8, and -B220 MAbs produced a greater amount of IFN-gamma by stimulation with IL-12 and IL-18 than unseparated non-glass-adherent PEC. Our results demonstrated that IL-12 and IL-18 synergistically induced NO-dependent anticryptococcal activity of PEC by stimulating NK cells to produce IFN-gamma.
An Atypical Presentation of Pancreatic Pseudocyst Masquerading as Solid Pseudopapillary Neoplasm of Pancreas (2020)

Pancreatic pseudocysts are the most common cystic lesions of the pancreas, and often present as a consequence of acute or chronic pancreatitis. On the other hand, cystic neoplasms of the pancreas are rare, but pose a significant diagnostic challenge. The differentiation between these entities often relies on the clinical features and characteristic radiological evidence. However, the diagnostic dilemma persists, leading to misdiagnosis and inappropriate treatment. We present a case of pancreatic pseudocyst in a 49-year-old male, which clinically and radiologically mimicked solid pseudopapillary neoplasm, a rare type of cystic neoplasm of the pancreas.
Al modification as indicator of current filaments in IGBTs under repetitive SC operation (2019)

This work investigates modification on the top‐side aluminium (Al) metallisation of 1.2 kV insulated‐gate bipolar transistors (IGBTs) under repetitive short‐circuit (SC) type‐I measurements for two different parasitic inductances of 45 and 380 nH. The presence of current–density filaments starting at the collector side during SC leads to local temperature increase of the emitter metallisation and thus to modification of the top Al surface in the pattern of the current filaments. Here, two techniques thermo‐reflectance microscopy, which can detect the surface temperature during repetitive short circuits directly and Al modifications after repetitive SC with analysis under optical microscope after the test have been considered. At 45 nH, with different DC‐link voltages from 300 to 600 V, the Al modification pattern is non‐uniform and it becomes uniform for V DC &gt;600 V. However, for 380 nH parasitic inductance and for DC‐link voltages 300 and 400 V, the Al reconstruction shows a non‐uniform pattern and becomes uniform for V DC ≥500 V. The SC simulations were performed by using a simplified front‐side IGBT structure using variable DC‐link voltages and inductances to reproduce the filament behaviour.
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech (2021)

Dysfluencies and variations in speech pronunciation can severely degrade speech recognition performance, and for many individuals with moderate-to-severe speech disorders, voice operated systems do not work. Current speech recognition systems are trained primarily with data from fluent speakers and as a consequence do not generalize well to speech with dysfluencies such as sound or word repetitions, sound prolongations, or audible blocks. The focus of this work is on quantitative analysis of a consumer speech recognition system on individuals who stutter and production-oriented approaches for improving performance for common voice assistant tasks (i.e., "what is the weather?"). At baseline, this system introduces a significant number of insertion and substitution errors resulting in intended speech Word Error Rates (isWER) that are 13.64\% worse (absolute) for individuals with fluency disorders. We show that by simply tuning the decoding parameters in an existing hybrid speech recognition system one can improve isWER by 24\% (relative) for individuals with fluency disorders. Tuning these parameters translates to 3.6\% better domain recognition and 1.7\% better intent recognition relative to the default setup for the 18 study participants across all stuttering severities.
Targeting the JAK2-STAT5 pathway in CML (2014)

In this issue of Blood, Gallipoli et al show that combined targeting of BCR/ABL1 and Janus kinase 2 (JAK2) by 2 established kinase inhibitors, nilotinib (NI) and the JAK1/2 kinase inhibitor ruxolitinib (RUX), results in synergistic growth inhibition in immature CD34(+) stem and progenitor cells obtained from patients with chronic myeloid leukemia (CML).(1)
<title>Wavelet-based progressive classification with learning: applications to radar signals</title> (1995)

In this paper we investigate the problem of fast and accurate classification of naval targets from radar returns. The algorithms can be applied to both 1-D and 2-D data (i.e., high range resolution and imaging radar returns). We describe the structure of these algorithms and report experimental results on their performance with synthetic returns from ships. We have successfully addressed the problem of reducing the target model representations with respect to viewpoint variations and other sensor parametric variations. Our method can be viewed as a quantization of the space of sensing operations. The resulting multiresolution aspect graph is a (relational) graph representation of this quantization. Aspect graphs of target radar returns are generated algorithmically. Since our off-line model/parameter tuning methods are based on general vector quantization, our methods extend naturally and efficiently to multi-sensor data: LADAR, TV, mmWave, SAR, etc. We describe new results on the `continuity' of the aspect graph, new properties and improvements of our algorithmic constructions. Our basic classification algorithm utilizes a cascade of a wavelet preprocessor followed by a tree- structured clustering algorithm; a learning mode can also be added. We develop a high performance parallel progressive classification algorithm and report on its performance and complexity. We show experiments illustrating that the parallel algorithm outperforms a compound version (which is the more intuitive choice) and that it has performance close to Bayes optimal classification (via comparison to learning vector quantization). We outline an analytical framework for establishing these results theoretically. We also discuss similar experiments from face recognition and medical image classification problems.
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data (2022)

The detection of lesions in magnetic resonance imaging (MRI)-scans of human brains remains challenging, time-consuming and error-prone. Recently, unsupervised anomaly detection (UAD) methods have shown promising results for this task. These methods rely on training data sets that solely contain healthy samples. Compared to supervised approaches, this significantly reduces the need for an extensive amount of labeled training data. However, data labelling remains error-prone. We study how unhealthy samples within the training data affect anomaly detection performance for brain MRI-scans. For our evaluations, we consider autoencoders (AE) as a well-established baseline method for UAD. We systematically evaluate the effect of impured training data by injecting different quantities of unhealthy samples to our training set of healthy samples. We evaluate a method to identify falsely labeled samples directly during training based on the reconstruction error of the AE. Our results show that training with impured data decreases the UAD performance notably even with few falsely labeled samples. By performing outlier removal directly during training based on the reconstruction-loss, we demonstrate that falsely labeled data can be detected and that this mitigates the effect of falsely labeled data.
Ein Steuersystem für die telemanipulierte und autonome robotergestützte Chirurgie (2011)

Die Arbeit entwickelt ein komplettes System für die telemanipulierte und autonome robotergestützte Chirurgie. Beschrieben werden die hierfür notwendigen Komponenten: Softwarearchitektur, Entwicklungsumgebung, Planung mit Validierung und Verifizierung, Einbindung der Sensordaten, Bahnplanung, Steuerung und Regelung der Aktorik. Die Funktionsfähigkeit des Systems wird anhand zweier Operationen gezeigt (Abdominalen Aortenaneurysma (AAA), Laserknochenschneiden mit einem CO2 Laser).
Allosteric Modulation Balances Thermodynamic Stability and Restores Function of ΔF508 CFTR (2020)

Most cystic fibrosis is caused by a deletion of a single residue (F508) in CFTR that disrupts the folding and biosynthetic maturation of the ion channel protein. Progress towards understanding the underlying mechanisms and overcoming the defect remain incomplete. Here we show that the thermal instability of human ΔF508 CFTR channel activity evident in both cell-attached membrane patches and planar phospholipid bilayers is not observed in corresponding mutant CFTRs of several non-mammalian species. These more stable orthologs are distinguished from their mammalian counterparts by the substitution of proline residues at several key dynamic locations in the first nucleotide domain (NBD1), including the structurally diverse region (SDR), the gamma phosphate switch loop and the Regulatory Insertion (RI). Molecular Dynamic analyses revealed that addition of the prolines could reduce flexibility at these locations and increase the temperatures of unfolding transitions of ΔF508 NBD1 to that of the wild-type. Introduction of these prolines experimentally into full-length human ΔF508 CFTR together with the already recognized I539T suppressor mutation, also in the SDR, restored channel function and thermodynamic stability as well as its trafficking to and lifetime at the cell surface. Thus, while cellular manipulations that circumvent its culling by quality control systems leave ΔF508 CFTR dysfunctional at physiological temperature, restoration of the delicate balance between the dynamic protein’s inherent stability and channel activity returns a near-normal state.
Supplementary Table S2 from Hemolytic <i>E. coli</i> Promotes Colonic Tumorigenesis in Females (2023)

&lt;p&gt;Virulence genes present in different types of E. coli isolates&lt;/p&gt;