gebhart/patrepeval huggingface dataset:
Fracture-Dislocation of the Thoracic Spine in Extension by Upright Seats in Severe Rear Crashes (2011)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Purpose: This study presents cases of fracture-dislocation of the thoracic spine in extension during severe rear impacts. The mechanism of injury was investigated.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;Methods: Four crashes were investigated where a lap-shoulder-belted, front-seat occupant experienced fracture-dislocation of the thoracic spine and paraplegia in a severe rear impact. Police, investigator and medical records were reviewed, the vehicle was inspected and the seat detrimmed. Vehicle dynamics, occupant kinematics and injury mechanisms were determined in this case study.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;Results: Each case involved a lap-shoulder-belted occupant in a high retention seat with ≻1,700 Nm moment or ≻5.5 kN strength for rearward loading. The crashes were offset rear impacts with 40-56 km/h delta V involving under-ride or override by the impacting vehicle and yaw of the struck vehicle. In each case, the occupant's pelvis was restrained on the seat by the open perimeter frame of the seatback and lap belt. The rear loading caused the head, neck and upper body to displace off the side or top of the seatback. The seatback frame acted like a fulcrum as the unsupported head and upper body was accelerated forward causing extension of the spine around the seatback frame as the head and shoulders moved rearward of the frame. In each case, there was fracture-dislocation of the thoracic spine in extension with spinal cord injury resulting in paraplegia. Two occupants were overweight and two were obese, which increased inertial loads on the spine.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;Conclusions: High retention seats have improved safety of occupants in rear crashes, but there are situations where the upper body becomes unsupported in a severe rear crash. This can lead to extension loads on the spine causing fracture-dislocation, spinal cord injury and paraplegia. Injury is a result of the strong seat frame remaining upright, the lap belt holding the pelvis on the seat and the upper body moving off the seatback concentrating load on the thoracic spine. The seatback frame acts like a fulcrum resulting in fracture-dislocation of the spine in extension.&lt;/div&gt;&lt;/div&gt;
Fiber Bragg Gratings in Germanium-Doped Highly Birefringent Microstructured Optical Fibers (2008)

We present a dedicated fiber Bragg grating (FBG) inscription experiment to investigate the compatibility of a microstructured optical fiber (MOF) with conventional FBG inscription setups. For the studied MOF, the angular orientation of the fiber in the interferometric excimer laser setup was found to have no significant influence on the final reflection of the inscribed FBGs. We also show that an array of multiplexed FBGs can be inscribed in a single MOF with a repeatability and quality that match fiber sensing requirements.
Reconfigurability (2006)

This chapter contains sections titled: Introduction Application Scenarios for Reconfigurability Element Management, Flexible Air Interfaces and SDR Network Architecture and Support Services Cognitive Radio, Spectrum and Radio Resource Management Acknowledgement References
Alternative Computational Protocols for Supercharging Protein Surfaces for Reversible Unfolding and Retention of Stability (2013)

Reengineering protein surfaces to exhibit high net charge, referred to as "supercharging", can improve reversibility of unfolding by preventing aggregation of partially unfolded states. Incorporation of charged side chains should be optimized while considering structural and energetic consequences, as numerous mutations and accumulation of like-charges can also destabilize the native state. A previously demonstrated approach deterministically mutates flexible polar residues (amino acids DERKNQ) with the fewest average neighboring atoms per side chain atom (AvNAPSA). Our approach uses Rosetta-based energy calculations to choose the surface mutations. Both protocols are available for use through the ROSIE web server. The automated Rosetta and AvNAPSA approaches for supercharging choose dissimilar mutations, raising an interesting division in surface charging strategy. Rosetta-supercharged variants of GFP (RscG) ranging from -11 to -61 and +7 to +58 were experimentally tested, and for comparison, we re-tested the previously developed AvNAPSA-supercharged variants of GFP (AscG) with +36 and -30 net charge. Mid-charge variants demonstrated ∼3-fold improvement in refolding with retention of stability. However, as we pushed to higher net charges, expression and soluble yield decreased, indicating that net charge or mutational load may be limiting factors. Interestingly, the two different approaches resulted in GFP variants with similar refolding properties. Our results show that there are multiple sets of residues that can be mutated to successfully supercharge a protein, and combining alternative supercharge protocols with experimental testing can be an effective approach for charge-based improvement to refolding.
Marfan syndrome: no evidence for heterogeneity in different populations, and more precise mapping of the gene. (1991)

Marfan syndrome is a dominantly inherited connective tissue disorder with manifestations in the cardiovascular, ocular, and skeletal systems. The diagnosis is hampered by both high variability in the phenotypic expression and late manifestation of symptoms. The cause of Marfan syndrome remains unknown, but our group has recently reported the genetic linkage of Marfan syndrome to a polymorphic marker on chromosome 15. To analyze the possible heterogeneity behind Marfan syndrome, we have performed linkage analyses for four chromosome 15 markers in 17 families from five different populations: Scottish, English, Swiss, American, and Finnish. By combining the linkage data of all the studied families into a LINKMAP analysis we obtained a maximal LOD score of 11.2, which maps the Marfan syndrome locus between D15S25 and D15S45 on the long arm of chromosome 15. The data reveal no evidence for genetic heterogeneity behind Marfan syndrome and provide us with a more precise location of both the Marfan syndrome locus and flanking markers. This information will provide the basis for the DNA diagnostics of Marfan syndrome in the future.
Automated Robustness with Adversarial Training as a Post-Processing Step (2021)

Adversarial training is a computationally expensive task and hence searching for neural network architectures with robustness as the criterion can be challenging. As a step towards practical automation, this work explores the efficacy of a simple post processing step in yielding robust deep learning model. To achieve this, we adopt adversarial training as a post-processing step for optimised network architectures obtained from a neural architecture search algorithm. Specific policies are adopted for tuning the hyperparameters of the different steps, resulting in a fully automated pipeline for generating adversarially robust deep learning models. We evidence the usefulness of the proposed pipeline with extensive experimentation across 11 image classification and 9 text classification tasks.
3D‐Printed Sugar Scaffold for High‐Precision and Highly Sensitive Active and Passive Wearable Sensors (2019)

In this study, a pairing of a previously unidentified 3D printing technique and soft materials is introduced in order to achieve not only high-resolution printed features and flexibility of the 3D-printed materials, but also its light-weight and electrical conductivity. Using the developed technique and materials, high-precision and highly sensitive patient-specific wearable active or passive devices are fabricated for personalized health monitoring. The fabricated biosensors show low density and substantial flexibility because of 3D microcellular network-type interconnected conductive materials that are readily printed using an inkjet head. Using high-resolution 3D scanned body-shape data, on-demand personalized wearable sensors made of the 3D-printed soft and conductive materials are fabricated. These sensors successfully detect both actively changing body strain signals and passively changing signals such as electromyography (EMG), electrodermal activity (EDA), and electroencephalogram EEG. The accurately tailored subject-specific shape of the developed sensors exhibits higher sensitivity and faster real-time sensing performances in the monitoring of rapidly changing human body signals. The newly developed 3D printing technique and materials can be widely applied to various types of wearable, flexible, and light-weight biosensors for use in a variety of inexpensive on-demand and personalized point-of-care diagnostics.
How Can Probabilistic Solar Power Forecasts Be Used to Lower Costs and Improve Reliability in Power Spot Markets? A Review and Application to Flexiramp Requirements (2022)

Net load uncertainty in electricity spot markets is rapidly growing. There are five general approaches by which system operators and market participants can use probabilistic forecasts of wind, solar, and load to help manage this uncertainty. These include operator situation awareness, resource risk hedging, reserves procurement, definition of contingencies, and explicit stochastic optimization. We review these approaches, and then provide a case study in which a method for using probabilistic solar forecasts to define needs for reserves is developed and evaluated. The case study has three parts. First, we describe building blocks for enhancing the Watt-Sun solar forecasting system to produce probabilistic irradiance and power forecasts. Second, relationships between Watt-Sun forecasts for multiple sites in California and the system’s need for flexible ramp capability (flexiramp) are defined by machine learning and statistical methods. Third, the performance of present methods to defining flexiramp requirements, which are not conditioned on weather and renewables forecasts, is compared with that of probabilistic solar forecast-based requirements, using a multi-timescale production costing model with an 1820-bus representation of the WECC power system. Significant potential savings in fuel and flexiramp procurement costs from using solar-informed reserve requirements are found.
Insulin Sensitivity and Glucose‐Induced Insulin Response Changes during Adolescence (1990)

Recently we reported that insulin resistance and glucose induced insulin release are inversely correlated to age in young healthy siblings of diabetic patients. To confirm this pattern of change with age, the subjects were reexamined after two years. The study was limited to the age groups with the lowest insulin sensitivity, i.e. 14.0-15.9 years for females and 16.0-17.9 years for males. All five girls and four of five boys showed an increased insulin sensitivity as measured by the somatostatin-insulin-glucose infusion test (p = 0.02). All subjects showed a decrease in fasting levels of insulin-like growth factor 1 (IGF-1) (p less than 0.01) during the observation period. All except one showed an increase in the levels of dehydroepiandrosterone sulphate (DHEA-S) (p less than 0.01). These data confirm that insulin sensitivity increases in the late teenage period. The parallelism to the changes of IGF-1 indicate that the pubertal changes in insulin sensitivity may partly be caused by growth hormone. Our data contradict the hypothesis that the low insulin sensitivity of puberty is due to the increased levels of DHEA-S.
educational affairs (1996)

© Copyright 1996 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (https://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyrights@ametsoc.org.
A novel technique of charge centroid evaluation in dielectric films (1992)

Summary form only given. An attempt is made to develop a measuring technique for charge density and its centroid evaluation in dielectric layers without metal contacts. The main idea is the utilization of two vibrating probes located on both sides of the investigated dielectric film. The proposed technique has been shown to be effective for different types of dielectric layer without surface traps that could be recharged as the result of touching the mercury contact. The technique can be also used for dielectric films on semiconductor substrates.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
On the number of samples needed to learn the correct structure of a Bayesian network (2006)

Bayesian Networks (BNs) are useful tools giving a natural and compact representation of joint probability distributions. In many applications one needs to learn a Bayesian Network (BN) from data. In this context, it is important to understand the number of samples needed in order to guarantee a successful learning. Previous works have studied BNs sample complexity, yet they mainly focused on the requirement that the learned distribution will be close to the original distribution which generated the data. In this work, we study a different aspect of the learning task, namely the number of samples needed in order to learn the correct structure of the network. We give both asymptotic results (lower and upper-bounds) on the probability of learning a wrong structure, valid in the large sample limit, and experimental results, demonstrating the learning behavior for feasible sample sizes. 1
Compositional Analysis of Dynamic Bayesian Networks and Applications to Complex Dynamic System Decomposition (2013)

Dynamic Bayesian networks (DBNs) can be effectively used to model various problems in complex dynamic systems. We perform an empirical investigation on compositional analysis of DBNs using abstraction. In static systems and hidden Markov models, computation of a metric called treewidth induces a tree decomposition that can be used to perform logical or probabilistic inference and max + optimizations in time exponential in treewidth and linear in overall system size. Intuitively, the linear scaling means that very large systems can be analyzed as long as they are sufficiently sparse and well structured. In these simple cases, summary propagation, which uses two operations, summation (projection) and product (composition), suffices to perform the inference or optimization. Here, we begin an extension of this to structured networks of communicating dynamic systems. We define generalizations of projection and composition operators that treat labeled Markov chains as primitive objects. The projection operation, corresponding to summation, is implemented as label deletion followed by exact state reduction for Markov chains, similar to Hopcroft's DFA minimization algorithm, with O(nlogm) complexity. The composition operation is the product of state machines. We use canonical MDDs, similar to BDDs, to capture logical dependencies symbolically. Combining symbolic representations with Markov chain lumping algorithms is a novel contribution. Using this approach, we have created a tool lever- aging model based systems engineering technologies. The communicating Markov chains are specified using UML Statecharts via Papyrus extended using an ANTLR parsed domain specific language (DSL). The tool reduces the number of states in networks of Markov chains by several orders of magnitude. In one example, a network having a product state space of more than 600 million states is reduced to about 500 states. A feature of this technique is that the state space is examined incrementally, meaning that the full state space is never explicitly represented, even as an input to the reduction algorithm. The primary reduction appears to come from symmetry which is surprising because the technique includes no explicit symmetry handling. We note that composition is efficient at least for systems with high symmetry. We describe applications to a hospital intensive care unit (ICU) from a systems engineering perspective.
Strong Super-additivity of the entanglement of formation for pure stabilizer states (2007)

We prove the strong super-additivity of the entanglement of formation for stabilizer pure states, and the set of mixed states which minimize their average entropy of entanglement as a mixture of stabilizer pure states sharing the same stabilizer group up to phases. The implications of the result on the additivity of the Holevo capacity of a quantum channel transmitting stabilizer states with Pauli noise is discussed.
Intraoperative Multispectral Fluorescence Imaging for the Detection of the Sentinel Lymph Node in Cervical Cancer: A Novel Concept (2010)

We conclude that lymphatic mapping and detection of the SLN in cervical cancer using intraoperative NIRF imaging is technically feasible. However, the technique needs to be refined for full applicability in cervical cancer in terms of sensitivity and specificity.
Semi Dynamic Parameter Tuning for Optimized Opportunistic Spectrum Access (2008)

Opportunistic spectrum access (OSA) is a hot topic in cognitive radio context. The main challenge of the OSA is to define improved spectral usage schemes, through the utilization of frequency holes in licensed bands. The multi armed bandit (MAB) is a reinforcement learning technique that can provide the secondary user with the adequate rules, in order to perform simultaneously 1) the exploitation of its external environment and 2) the exploration of the accumulated knowledge by transmitting in the identified white spaces. However, the MAB is sensitive to the non-stationarity of the channels' statistical characteristics. Thus, in this paper, we address an offline sensitivity study to optimize the parameter tuning in the used MAB allocation strategies. Also, we propose a semi dynamic parameter tuning scheme to achieve an online update of the MAB parameters. This adaptive MAB solution enhances the performance of the secondary user in dynamic environments.
A Comparison of Stone Damage Caused by Different Modes of Shock Wave Generation (1992)

A standard stone phantom was used to compare stone damage after extracorporeal shock wave administration from electrohydraulic, electromagnetic and piezoelectric lithotripters. For each machine, a low and high shock wave intensity setting was chosen: 18 & 24 kV for electrohydraulic; 16 & 19 kV for electromagnetic; power levels 1 and 4 for piezoelectric. The shock wave was focused either at the front (surface facing the wave source) or back surface of the stone and 50, 100, 200 or 400 shocks were delivered to different stone groups. Effects of varying physical properties in the stone phantom were also investigated. Stone damage was described in terms of volume loss and both depth and width of the resulting damage crater. At the lower intensity settings, all three machines produced stone volume loss which was linearly related to the number of shock delivered. At higher intensity settings, volume loss increased rapidly as the number of shocks increased. With the same number of shocks, stone volume loss was greatest with the electrohydraulic machine, followed by electromagnetic and piezoelectric lithotripters for both low and high intensity settings. Damage craters from the piezoelectric device were narrow and deep; those from the electromagnetic machine were of the shape of a right angle circular cone; whereas those from the electrohydraulic lithotripter were shallow and wide. At the high intensity settings, damage from the piezoelectric and electrohydraulic lithotripters appeared to depend upon the position of the focal point with a higher volume loss when the shock waves were targeted at the front surface of the stone. For the electromagnetic device, a higher volume loss was found when we positioned the focal point at the back surface of the stone phantom. Stone phantoms with lower mechanical strength and acoustic impedance were more easily damaged than those with higher values. Finally, a computer regression model was developed to express volume loss in terms of the intensity setting, focal position and number of shocks for each lithotripter.
Enhanced Robot Speech Recognition Based on Microphone Array Source Separation and Missing Feature Theory (2006)

A humanoid robot under real-world environments usually hears mixtures of sounds, and thus three capabilities are essential for robot audition; sound source localization, separation, and recognition of separated sounds. While the first two are frequently addressed, the last one has not been studied so much. We present a system that gives a humanoid robot the ability to localize, separate and recognize simultaneous sound sources. A microphone array is used along with a real-time dedicated implementation of Geometric Source Separation (GSS) and a multi-channel post-filter that gives us a further reduction of interferences from other sources. An automatic speech recognizer (ASR) based on the Missing Feature Theory (MFT) recognizes separated sounds in real-time by generating missing feature masks automatically from the post-filtering step. The main advantage of this approach for humanoid robots resides in the fact that the ASR with a clean acoustic model can adapt the distortion of separated sound by consulting the post-filter feature masks. Recognition rates are presented for three simultaneous speakers located at 2m from the robot. Use of both the post-filter and the missing feature mask results in an average reduction in error rate of 42% (relative).
In Vitro Repression of the Transcription of gal Operon by Purified gal Repressor (1973)

We have studied the in vitro repression of gal mRNA synthesis by the gal repressor from Escherichia coli. By use of a four-step purification procedure involving chromatography on phosphocellulose, DEAE-cellulose, and an affinity resin, the gal repressor has been purified about 1600-fold from a crude cell extract. The purification was aided by use of a cell extract made after prophage induction of cells lysogenic for bacteriophage lambda that carries the gal repressor gene (galR). The highly purified gal repressor is an effective and specific repressor of in vitro synthesis of gal mRNA with lambda gal DNA as template. Both D-fucose and D-galactose overcome the action of gal repressor; the half-maximal concentrations of D-fucose and D-galactose for overcoming the action of repressor are 1 mM and 0.5 mM, respectively. The repressor fails to repress gal-specific transcription when the gal DNA contains a cis-dominant operator constitutive (O(c)) mutation. We conclude that the gal repressor recognizes the gal operator site and acts by preventing gal transcription.