gebhart/patrepeval huggingface dataset:
The colon, anorectum, and spinal cord patient (1989)

As humans have become more mechanized, the number of persons sustaining spinal cord injuries resulting in quadriplegia or paraplegia has increased. Because colorectal function is modulated by a combination of neural, hormonal, and luminal influences, many of the normal regulatory mechanisms remain intact in patients with spinal cord injuries. Management of these patients, however, requires an understanding of altered function in the denervated hindgut. The foregut and midgut are innervated by parasympathetic fibers in the vagus and sympathetic fibers from the lower six thoracic vertebra. In contrast, the hindgut is innervated by parasympathetic fibers arising from the sacral plexus and sympathetic fibers from the lumbar spinal column. Consequently, in most spinal cord injuries, the foregut and midgut remain normally innervated whereas the hindgut looses input from cerebral and spinal cord sources. In high cord lesions this results in decreased colonic motility. In low cord injuries there is loss of inhibitory influences that normally down-regulate left colonic and rectosigmoid sphincter activity. This increased motility causes a loss of left colonic compliance and increases left colonic transit, thus leading to chronic constipation. At the same time in both high and low cord injuries, reflex activity of the anorectum is left unregulated by cerebral input. Once stimulated by distention, the rectum spontaneously evacuates its contents. Thus, fecal impaction and incontinence in these patients principally results from loss of inhibitory influences on rectosigmoid sphincter activity and on rectal reflex activity.
A knowledge based neural network approach for waste water treatment system (1990)

Wastewater treatment system design can be identified as a planning problem. The wastewater consists of several chemicals (compounds) that need to be removed during the treatment process. A treatability database containing the treatability of various compounds through different types of treatment processes has been developed. In general, two or more compounds appear together, and one may need to combine and arrange two or more treatment processes to meet the treatment objectives. The wastewater treatment system has been designed in two phases. In the first phase, an inductive learning algorithm is used to extract the knowledge rules from the database. These rules are compiled to identify the effect of an individual treatment process on several compounds at different concentrations. The second phase involves selecting, combining, and arranging the unit treatment processes that will meet all treatment objectives. This phase has been formulated as an optimization problem. A Hopfield network is used to obtain the necessary sequence of treatment processes to achieve the desired level of effluent concentration from the given influent concentrations
Branching support structures for 3D printing (2014)

Most 3D printing processes can be modeled by an incremental stacking of thin, flexible layers. In this case, it is apparent that for complex shapes, some stacks will be "floating" in mid-air unless they are supported from below by additional material. Similarly if a slice is much larger than the one below it, it will droop unless supported. These areas are called overhangs [Evans 2012], and most 3D printing software provides automated generation of some kind of support structure. However, the support is waste, of both time and material, and this waste should be minimized.
SwisTrack - A Flexible Open Source Tracking Software for Multi-Agent Systems (2008)

Vision-based tracking is used in nearly all robotic laboratories for monitoring and extracting of agent positions, orientations, and trajectories. However, there is currently no accepted standard software solution available, so many research groups resort to developing and using their own custom software. In this paper, we present version 4 of SwisTrack, an open source project for simultaneous tracking of multiple agents. While its broad range of pre-implemented algorithmic components allows it to be used in a variety of experimental applications, its novelty stands in its highly modular architecture. Advanced users can therefore also implement additional customized modules which extend the functionality of the existing components within the provided interface. This paper introduces SwisTrack and shows experiments with both marked and marker-less agents.
Die klinische Bedeutung von Anti-IgE-Antikörpern für die Behandlung der allergischen Rhinopathie (1990)

A simple assay, based on monoclonal antibodies, was used to measure "free" anti-IgE antibodies or anti-IgE antibodies in immune complexes of IgE and anti-IgE. No significant correlation was found between serum IgE levels and the concentration of anti-IgE antibodies. Furthermore, patients who were successfully treated by hyposensitization therapy showed only unmeasurable or extremely low anti-IgE antibody levels in their serum. However, patients who were unsuccessfully treated by hyposensitization had elevated anti-IgE serum titers. Thus, determination of anti-IgE antibodies might become a tool for predicting the success of hyposensitization therapy.
Making a Pragmatic Choice for Fluid Resuscitation in Critically Ill Patients (2013)

One of the oldest debates in medicine is whether patients with hypovolemic shock should be resuscitated with colloids (eg, albumin or hydroxyethyl starch [HES]) or crystalloids (eg, normal saline or Ringer lactate). Despite thousands of patients enrolled in trials of alternative fluid strategies, consensus remains elusive and practice is widely variable.1,2 The argument for colloids is that, because they rely on oncotic pressure gradients created by their suspension of large molecular weight protein or starch, they selectively expand the intravascular space.3 In contrast, crystalloids, which rely on the osmotic gradients of their solutes, equilibrate more rapidly across intra- and extravascular spaces. Thus, to achieve similar restoration of blood volume, more volume of crystalloid may be necessary, with unwanted excess edema.4 However, shock states, such as sepsis, induce endothelial leaking with extravasation of protein and other large molecules,5 which undermines the theoretical advantage of colloids. Furthermore, colloids are considerably more expensive; human-derived colloids, such as albumin, carry theoretical risks of infection; and the large molecule proteins and starches may have unwanted immunogenic effects.4 Some starches also appear to cause renal injury.6
Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems (2006)

In this paper, we develop novel Bayesian detection methods that are applicable to both synchronous code-division multiple-access and multiple-input multiple-output communication systems. Markov chain Monte Carlo (MCMC) simulation techniques are used to obtain Bayesian estimates (soft information) of the transmitted symbols. Unlike previous reports that widely use statistical inference to estimate a posteriori probability (APP) values, we present alternative statistical methods that are developed by viewing the underlying problem as a multidimensional Monte Carlo integration. We show that this approach leads to results that are similar to those that would be obtained through a proper Rao-Blackwellization technique and thus conclude that our proposed methods are superior to those reported in the literature. We also note that when the channel signal-to-noise ratio is high, MCMC simulator experiences some very slow modes of convergence. Thus accurate estimation of APP values requires simulations of very long Markov chains, which may be infeasible in practice. We propose two solutions to this problem using the theory of importance sampling. Extensive computer simulations show that both solutions improve the system performance greatly. We also compare the proposed MCMC detection algorithms with the sphere decoding and minimum mean square error turbo detectors and show that the MCMC detectors have superior performance.
ChemInform Abstract: DARST. VON ALKALISALZEN DES EPSILON-CAPROLACTAMS AUS EPSILON-CAPROLACTAM UND ALKALIHYDROXIDEN IN GEGENWART VON MOLEKULARSIEBEN (1973)

Zur Herstellung der Alkalisalze (II) von e-Caprolactam (und anderen Lactamen) setzt man e-Caprolactam (I) mit Alkalimetallhydroxiden in Gegenwart von Molekularsieben um, die eine Porenweite von 0,3 - 0,6 nm aufweisen und das bei der Reaktion entstehende Wasser binden.
QoS routing in ad hoc wireless networks (1999)

The emergence of nomadic applications have generated much interest in wireless network infrastructures that support real-time communications. We propose a bandwidth routing protocol for quality-of-service (QoS) support in a multihop mobile network. The QoS routing feature is important for a mobile network to interconnect wired networks with QoS support (e.g., ATM, Internet, etc.). The QoS routing protocol can also work in a stand-alone multihop mobile network for real-time applications. This QoS routing protocol contains end-to-end bandwidth calculation and bandwidth allocation. Under such a routing protocol, the source (or the ATM gateway) is informed of the bandwidth and QoS available to any destination in the mobile network. This knowledge enables the establishment of QoS connections within the mobile network and the efficient support of real-time applications. In addition, it enables more efficient call admission control. In the case of ATM interconnection, the bandwidth information can be used to carry out intelligent handoff between ATM gateways and/or to extend the ATM virtual circuit (VC) service to the mobile network with possible renegotiation of QoS parameters at the gateway. We examine the system performance in various QoS traffic flows and mobility environments via simulation. Simulation results suggest distinct performance advantages of our protocol that calculates the bandwidth information. It is particularly useful in call admission control. Furthermore, "standby" routing enhances the performance in the mobile environment. Simulation experiments show this improvement.
Instrumentation for cardiopulmonary bypass--past, present, and future. (1976)

Methods of extracorporeal circulation to permit intracardiac surgery still depend on the principles developed by John Gibbon in the early 1950s. This review traces Gibbon's early development, reviews the state of the art of instrumentation for extracorporeal circulation in the operating room today, and projects future changes in this instrumentation that will result in improvement in blood contact surfaces, automation and servo-regulation, and safety.
A case report of locally invasive Aspergillus fumigatus infection in a patient on canakinumab (2018)

The anti-inflammatory properties of canakinumab could have blunted the patient's immune response allowing the mycetoma to invade adjacent tissue. If canakinumab was approved for the secondary prevention of cardiovascular events then it is important to be cognizant of its potential to delay the presentation of any infection.
Visual Features in Alzheimer’s Disease: From Basic Mechanisms to Clinical Overview (2018)

Alzheimer's disease (AD) is the leading cause of dementia worldwide. It compromises patients' daily activities owing to progressive cognitive deterioration, which has elevated direct and indirect costs. Although AD has several risk factors, aging is considered the most important. Unfortunately, clinical diagnosis is usually performed at an advanced disease stage when dementia is established, making implementation of successful therapeutic interventions difficult. Current biomarkers tend to be expensive, insufficient, or invasive, raising the need for novel, improved tools aimed at early disease detection. AD is characterized by brain atrophy due to neuronal and synaptic loss, extracellular amyloid plaques composed of amyloid-beta peptide (A<i>β</i>), and neurofibrillary tangles of hyperphosphorylated tau protein. The visual system and central nervous system share many functional components. Thus, it is plausible that damage induced by A<i>β</i>, tau, and neuroinflammation may be observed in visual components such as the retina, even at an early disease stage. This underscores the importance of implementing ophthalmological examinations, less invasive and expensive than other biomarkers, as useful measures to assess disease progression and severity in individuals with or at risk of AD. Here, we review functional and morphological changes of the retina and visual pathway in AD from pathophysiological and clinical perspectives.
Two-Dimensional Oscillatory Neural Networks for Energy Efficient Neuromorphic Computing (2020)

Neuro-inspired computing architectures are one of the leading candidates to solve complex and large-scale associative learning problems for AI applications. The two key building blocks for neuromorphic computing are the neuron and the synapse, which form the distributed computing and memory units. In the NeurONN project, we are proposing a novel neuro-inspired computing architecture where information is encoded in the “phase” of coupled oscillating neurons or oscillatory neural networks (ONN). Specifically, VO2 metal-insulator transition (MIT) devices and 2D memristors will be developed as neurons and synapses for hardware implementations. We predict VO2 MIT devices are up to 250X more energy efficient than state of the art digital CMOS based oscillators, where 2D memristors are up to 330X more energy efficient than state of the art TiO2 memristors. Moreover, the predicted energy efficiency gain of ONN architecture vs spiking neural network (SNN) architecture is up to 40X. Thus, NeurONN will showcase a novel and alternative energy efficient neuromorphic computing paradigm based on energy efficient devices and architectures. Such ONN will demonstrate synchronization and coupling dynamics for establishing collective learning behavior, in addition to desirable characteristics such as scaling, ultra-low power computation, and high computing performance. NeurONN aims to develop the first-ever ONN hardware platform (targeting two demonstrators) and complete with an ONN design methodology toolbox covering aspects from ONN architecture design to algorithms in order to facilitate adoption, testing and experimentation of ONN demonstrator chips by all potential users to unleash the potential of ONN technology.
Behavioral outcome measures used for human neural stem cell transplantation in rat stroke models (2011)

Stroke is a leading cause of death and disability, leading to the development of various stroke models to test new treatments, most commonly in the rat. Human stroke trials focus on disability, related primarily to neurological deficits. To better model the clinical application of these treatments, many behavioral tests have been developed using the rat stroke model. We performed a systematic review of all the behavioral outcome measures used in published studies of human neural stem cell transplantation in rat stroke models. The reviewed tests include motor, sensory, cognitive, activity, and combination tests. For each test, we give a brief description, trace the origin of the test, and discuss test performance in the reviewed studies. We conclude that while many behavioral tests are available for this purpose, there does not appear to be consensus on an optimal testing strategy.
Gas path analysis for the MTT micro turbine (2015)

Gas turbine diagnostics is as old as the gas turbine itself. Over the years, performance based diagnostics allowed for a shift from time-based maintenance to more economical condition based maintenance playing a fundamental role in enhancing the availability and reliability of gas turbines. By monitoring the condition of the engine over time, maintenance actions can be taken based on information collected from the field. MTT (Micro Turbine Technology) is currently developing a low cost 3kWe micro-turbine CHP (Combined Heat and Power)-system by using off-the-shelf technologies. Once the system will be launched on the market an organized, cost-effective maintenance procedure will be required. The objective of this M. Sc. thesis project was to develop and demonstrate a Gas Path Analysis diagnostic concept for the micro-turbine. Gas Path Analysis (GPA) is a method to assess the condition of the gas turbine by using performance measurements from the gas path. The feasibility of the diagnostic concept was demonstrated by some case studies using data from the first generation field test units. After reviewing a number of gas turbine diagnostic techniques, a non-linear model based gas path analysis approach was chosen. For the development of the diagnostic concept, a non-linear model of a healthy reference engine was used to simulate the off-design behaviour of the engine and derive healthy performance parameter baselines. These baselines are used to compare the performance of field engines against. A component based modelling environment called GSP or the Gas turbine Simulation Program was used to simulate the effect of ambient conditions and deterioration on performance. The diagnostic concept relies on the principle that deterioration causes corrected measurement parameters to shift from the healthy reference baselines. Measurement performance parameters are first corrected to standard ISA conditions before being compared against the healthy baselines. By modelling specific types of deterioration in GSP, signature parameter shifts could be recorded for each of the deterioration modes. These signature parameter shifts are used to compare shifts in performance parameters against and determine the closest pattern-match which can be used to identify the most probable cause of deterioration. The proposed concept is capable of performing engine level diagnostics and partially component level diagnostics. Multiple fault diagnostics and quantifying the level of deterioration are more difficult due to the limited number of sensors and the relatively large impact of second-order effects such as heat-loss, auxiliary power take-off, mechanical losses, etc. The performance parameter baselines together with the derived rulesets can easily be implemented in a maintenance tool making the concept flexible and easy to use.
Variations in oil content and fatty acid composition with sunflower head size and shape (1980)

Abstract Medium (8″ dia.) and small (4″) sized sunflower (EC 68415) heads of convex shape yielded seeds with more oil (&gt;44%), unsaturation (I.V.M20) and linoleic acid (&gt;48%) compared to big (12″) sized Both convex and flat shaped flower heads of medium size yielded seeds with more oil (&gt;45%), unsaturation (I.V.&gt;120) and linoleic acid (&gt;48%) than did the concave shaped flower heads of medium size (39.9%, I.V. 112.6, 39.3%, respectively). The oil content, degree of unsaturation and linoleic acid content were thus found to vary with the size and shape of the sunflower head.
Theory and Experiment Investigate of a 400-kW Ku-Band Gyro-TWT With Mode Selective Loss Loading Structure (2017)

A high-power Ku-band TE01 mode gyro-traveling wave tube (gyro-TWT) with a loss loading structure is designed, fabricated, and tested. A high beam quality magnetron injection gun generating 68-kV, 20-30-A electron beam is optimized to provide a high power radiation. A novel lossy ceramic loaded structure with mode selective attenuation ability is proposed to suppress the potential backward wave oscillation. The interaction circuit is analyzed by linear, nonlinear self-consistent theory, and experiment. An improved wideband input structure design is proposed accordingly. In the hot test, the proposed gyro-TWT produces a 420-kW maximum peak power, about 35-dB saturated gain, 23% efficiency, and more than 1.6 GHz (10%)-1-dB bandwidth in a stable operating condition.
The Clinical Course of Osteoporosis in Anorexia Nervosa (1991)

Women with anorexia nervosa have reduced bone mass and may develop fractures. Neither the pathophysiology of this osteoporosis nor its natural history is known. To study the clinical course of osteoporosis, we followed up 27 women with anorexia nervosa for a median of 25 months (range, 9 to 53 months). At study entry, cortical bone density, measured by single-photon absorptiometry of the radial shaft, was low (mean +/- SD, 0.63 +/- 0.07 g/cm2) and inversely related to the duration of amenorrhea (r = -0.49). During follow-up, most patients gained weight (n = 19), took calcium supplements (n = 16), and exercised regularly (n = 22), but fewer than half reached 80% or more of ideal body weight (n = 11), resumed menses (n = 6), or received estrogen (n = 4). Cortical bone density was stable during follow-up for the group as a whole; the mean annual change (+/- SD) was +0.005 (+/- .015) g/cm2 (95% confidence interval, -0.0009 to +0.0109). There was no significant difference in the mean change in bone density between women who attained 80% of ideal weight and those who did not or between groups who did or did not regain menses, take estrogen or calcium, or exercise vigorously. Four fractures were clinically observed in three women during follow-up. The rate of 0.05 nonspine fractures per person-year (95% confidence interval, 0.02 to 0.13) exceeds that of normal women in this age range (relative risk, 7.1; 95% confidence interval, 3.2 to 18.5). We conclude that reductions in cortical bone density appear not to be rapidly reversed by recovery from anorexia nervosa and that anorectic women may have an increased risk of fracture.