gebhart/patrepeval huggingface dataset:
<i>In vivo</i> fluorescence imaging: a personal perspective (2009)

In vivo fluorescence imaging with near-infrared (NIR) light holds enormous potential for a wide variety of molecular diagnostic and therapeutic applications. Because of its quantitative sensitivity, inherent biological safety, and relative ease of use (i.e., with respect to cost, time, mobility, and its familiarity to a diverse population of investigators), fluorescence-based imaging techniques are being increasingly utilized in small-animal research. Moreover, there is substantial interest in the translation of novel optical techniques into the clinic, where they will prospectively aid in noninvasive and quantitative screening, disease diagnosis, and post-treatment monitoring of patients. Effective deep-tissue fluorescence imaging requires the application of exogenous NIR-emissive contrast agents. Currently, available probes fall into two major categories: organic and inorganic NIR fluorophores (NIRFs). In the studies reviewed herein, we utilized polymersomes (50 nm to 50 microm diameter polymer vesicles) for the incorporation and delivery of large numbers of highly emissive oligo (porphyrin)-based, organic NIRFs.
Contrast-Induced Nephropathy (2015)

Radiocontrast-induced nephropathy (CIN) is the third most common cause of acute renal failure among inpatients. The number of patients undergoing examinations using radiocontrast is increasing, and the population at risk for CIN is growing; this population includes older individuals and those with underlying diabetes mellitus, chronic kidney disease, hypertensive nephropathy, and concomitant use of nephrotoxic drugs. However, little progress in CIN treatment has been made. CIN remains a substantial medical problem because of its association with prolonged hospitalization, the potential need for renal replacement therapy, and increased mortality. The exact pathogenesis of CIN has not been fully elucidated-and multiple factors including tubular renal vasoconstriction, direct renal tubular toxicity, increased oxidative stress, and cellular apoptosis-may contribute to the proximal tubular damage that occurs in patients with CIN. Despite the exploration of numerous prophylactic regimens and treatments, definite therapeutic and preventive strategies for CIN have not been established. This article reviews recent studies involving the risk factors for CIN as well as its pathophysiology and prevention. (
Development Of The “MarrowMiner”: A Novel, Minimally Invasive Device Of For The Harvest Of Bone Marrow. From Benchtop, To Animal Studies, Through FDA Approval And Human Evaluation (2010)

Bone marrow (BM) is the traditional graft source in hematopoietic stem cell transplantation. An increasing body of work suggests that use of BM grafts may show long-term advantages over mobilized PBSC in some alloegeneic transplant settings, resulting in significantly less cGVHD, morbidity and improved survival. Traditional OR based BM harvest methods however remain crude, labor and resource intensive, generally requiring full general anesthesia, 2 transplant clinicians, 100+ serial small volume needle aspirates, and result in grafts highly diluted by peripheral blood. Improved harvest methods are needed. To address the need to develop improved methods for harvest, The “MarrowMiner'' (MM) was conceived. The MarrowMiner (MM), is a novel, now FDA cleared & CE-Marked device developed for the minimally invasive harvest of BM to enable the rapid, convenient, outpatient harvest of large quantities of BM via a single marrow entry site, under local anesthesia. A powered, rotating FlexShaft enables the clinician to access a broad area of the ileac marrow space through a single cortical bone entry site trocar. The FlexShaft moves through the cancellous bone, without puncturing the cortical wall, while aspirating rich marrow under negative pressure into a closed container. Preclinical trails in porcine models compared the marrow harvested with the MM to standard 6-hole harvest in the opposite ileac. This 6 pig study revealed a significantly richer bone marrow with >9 fold Colony Forming (CFU-F) per ml compared to standard harvest. Following FDA approval, successful ‘First in Man’ studies were conducted demonstrating safety and efficacy in patients having marrow harvested for regenerative medicine studies. A 21 patient trial comparing the MM to standard harvest. The MARVELOUS (MARrowMiner VErsus standard ILeac bOne marrow pUncture and aSpiration)) study found that MM aspirate (performed under local anesthesia) had a greater average TNC count/ml compared to standard marrow harvest in the same patient, with equivalent viability. Higher numbers of %ALDH+, CD34+, phenotypic MSC) were obtained by MM. The novel MM system demonstrated safety and efficacy in clinical use. An ongoing trial is evaluating the MM in the BMT setting, and a commercial version of the device is nearing production. The MM device device may benefit ease of harvest for donors, clinicians and could ultimately lead to better outcomes for transplant recipients.
Cellular networks with an overlaid device to device network (2008)

Spectrum sharing is a novel opportunistic strategy to improve spectral efficiency of wireless networks. Much of the research to quantify such a gain is done under the premise that the spectrum is being used inefficiently by the primary network. Our main result is that even in a spectrally efficient network, device to device users can exploit the network topology to render gains in additional throughput. The focus will be on providing ad-hoc multihop access to a network for device to device users, that are transparent to the primary wireless cellular network, while sharing the primary network's resources.
Respiratory Viruses Induce Production of Histamine-Releasing Factor by Mononuclear Leukocytes: A Possible Role in the Mechanism of Virus-Induced Asthma (1991)

Histamine-releasing factor (HRF) is a cytokine produced by mononuclear leukocytes when stimulated with antigens or mitogens. HRF is capable of inducing degranulation of basophils and release of histamine. To determine if respiratory viruses can induce HRF production, mononuclear leukocytes from healthy adult donors were exposed to influenza or respiratory syncytial virus in vitro. HRF activity was tested by culturing the supernatants with fresh peripheral blood leukocytes and measuring the percentage of histamine released. Significant enhancement in histamine release was found in both virus groups compared with that of media controls. Thus, mononuclear leukocytes from normal individuals produce HRF in response to exposure to respiratory viruses, suggesting that this cytokine, which causes basophil degranulation, may play a role in the mechanism of virus-induced bronchospasm.
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks (2019)

In this paper, we consider a hybrid mobile edge computing (H-MEC) platform, which includes ground stations (GSs), ground vehicles (GVs) and unmanned aerial vehicle (UAVs), all with mobile edge cloud installed to enable user equipments (UEs) or Internet of thing (IoT) devices with intensive computing tasks to offload. Our objective is to obtain an online offloading algorithm to minimize the energy consumption of all the UEs, by jointly optimizing the positions of GVs and UAVs, user association and resource allocation in real-time, while considering the dynamic environment. To this end, we propose a hybrid deep learning based online offloading (H2O) framework where a large-scale path-loss fuzzy c-means (LSFCM) algorithm is first proposed and used to predict the optimal positions of GVs and UAVs. Secondly, a fuzzy membership matrix U-based particle swarm optimization (U-PSO) algorithm is applied to solve the mixed integer nonlinear programming (MINLP) problems and generate the sample datasets for the deep neural network (DNN) where the fuzzy membership matrix can capture the small-scale fading effects and the information of mutual interference. Thirdly, a DNN with the scheduling layer is introduced to provide user association and computing resource allocation under the practical latency requirement of the tasks and limited available computing resource of H-MEC. In addition, different from traditional DNN predictor, we only input one UE information to the DNN at one time, which will be suitable for the scenarios where the number of UE is varying and avoid the curse of dimensionality in DNN.
Geology and petroleum prospectivity of Officer basin, Western Australia (1983)

The central theme to emerge from the qualitative data was that agoraphobia is a clinical condition that has a close relationship to Chinese cultural factors. 'Fear of making others worried and being a burden to others' is a new concept in agoraphobia worthy of further study.
Safely and Quickly Deploying New Features with a Staged Rollout Framework Using Sequential Test and Adaptive Experimental Design (2019)

During the rapid development cycle for Internet products (websites and mobile apps), new features are developed and rolled out to users constantly. Features with code defects or design flaws can cause outages and significant degradation of user experience. The traditional method of code review and change management can be time-consuming and error-prone. In order to make the feature rollout process safe and fast, this paper proposes a methodology for rolling out features in an automated way using an adaptive experimental design. Under this framework, a feature is gradually ramped up from a small proportion of users to a larger population based on real-time evaluation of the performance of important metrics. If there are any regression detected during the ramp-up step, the ramp-up process stops and the feature developer is alerted. There are two main algorithm components powering this framework: 1) a continuous monitoring algorithm - using a variant of the sequential probability ratio test (SPRT) to monitor the feature performance metrics and alert feature developers when a metric degradation is detected, 2) an automated ramp-up algorithm - deciding when and how to ramp up to the next stage with larger sample size. This paper presents one monitoring algorithm and three ramping up algorithms including time-based, power-based, and risk-based (a Bayesian approach) schedules. These algorithms are evaluated and compared on both simulated data and real data. There are three benefits provided by this framework for feature rollout: 1) for defective features, it can detect the regression early and reduce negative effect, 2) for healthy features, it rolls out the feature quickly, 3) it reduces the need for manual intervention via the automation of the feature rollout process.
Robust people counting system based on sensor fusion (2012)

This paper presents a novel robust people counting system based on fusing the depth and vision data. Conventional algorithms utilize the monoscopic or stereoscopic vision data to count people. However, these vision-based people counting methods often fail due to occasional illumination change and crowded environment. In the proposed algorithm, both the top-view vision and depth images are captured by a video-plus-depth camera mounted on the ceiling. The depth image is first processed by a morphological operator to alleviate depth artifacts such as the optical noise and lost data. Then the human object is extracted using a human model from the preprocessed depth image. Finally, the trajectory of the detected object is established by applying the bidirectional matching algorithm. Experimental results show that the proposed algorithm achieves over 98% accuracy in various testing environments.
The natural history of Niemann–Pick disease type C in the UK (2006)

Niemann-Pick disease type C (NPC) is an autosomal recessive, neurovisceral lipid storage disorder. Mutations in two genes (NPC1 and NPC2) produce indistinguishable clinical phenotypes by biochemical mechanisms that have not yet been entirely clarified. The wide spectrum of clinical presentations of NPC includes hepatic and pulmonary disease as well as a range of neuropsychiatric disorders. Late-onset disease has been increasingly recognized as the biochemical diagnosis of NPC has been more widely applied in adult neurology clinics. The clinical presentation and follow-up of 94 patients with NPC is described, 58 of whom were still alive at the time this report was prepared. The age at diagnosis ranged from the prenatal period (with hydrops fetalis) up to 51 years. This review of NPC patients in the UK confirms the phenotypic variability of this inherited lipid storage disorder reported elsewhere. Although a non-neuronopathic variant has been described, most patients in this series who survived childhood inevitably suffered neurological and in some cases neuropsychiatric deterioration. While symptomatic treatment, such as anticholinergic and antiepileptic drugs, can alleviate some aspects of the disease, there is a clear need to develop a specific treatment for this progressively debilitating neurodegenerative disorder.
Determining Traffic-Flow Characteristics by Definition for Application in ITS (2007)

Traffic-flow characteristics such as flow, density, and space mean speed (SMS) are critical to Intelligent Transportation Systems (ITS). For example, flow is a direct measure of throughput, density is an ideal indicator of traffic conditions, and SMS is the primary input to compute travel times. An attractive method to compute traffic-flow characteristics in ITS is expected to meet the following criteria: 1) It should be a one-stop solution, meaning it involves only one type of sensor that is able to determine flow, SMS, and density; 2) it should be accurate, meaning it determines these characteristics by definition rather than by estimation or by using surrogates; 3) it should preserve the fundamental relationship among flow, SMS, and density; and 4) it should be compatible with ITS, meaning it uses ITS data and supports online application. Existing methods may be good for one or some of the above criteria, but none satisfies all of them. This paper tackles the challenge by formulating a method, called the n-t method, which addresses all these criteria. Its accuracy and the fundamental relationship are guaranteed by applying a generalized definition of traffic-flow characteristics. Inputs to the method are time-stamped traffic counts which happen to be the strength of most ITS systems. Some empirical examples are provided to demonstrate the performance of the n-t method
Acidic Fibroblast Growth Factor Distribution in Normal Human Eye and Possible Implications in Ocular Pathogenesis (1990)

Using a rabbit anti-acidic fibroblast growth factor (anti-aFGF) antiserum, we tried to establish a precise mapping of aFGF localization in normal human ocular structures, from samples obtained by autopsies. Cell cultures of retinal pigment epithelium and ciliary pigment epithelium were also established and immunofluorescence studies were performed after 1 month. Corneal and conjunctival epithelia were strongly positive for anti-aFGF antibodies as well as the subcapsular epithelium of the lens. The cortical fibers were weakly reactive and the lens nucleus negative. A strong intracytoplasmic reactivity was observed in the pigmented and nonpigmented epithelial cells of ciliary processes and pars plana, both ex vivo and in vitro. Retina was brightly positive, mostly in the photoreceptor and plexiform layers. The possible involvement of aFGF in normal eye growth and in various ocular diseases was then discussed.
Cost of photovoltaic energy systems as determined by balance-of-system costs (1978)

The effect of the balance-of-system (BOS), i.e., the total system less the modules, on photo-voltaic energy system costs is discussed for multikilowatt, flat-plate systems. Present BOS costs are in the range of 10 to 16 dollars per peak watt (1978 dollars). BOS costs represent approximately 50% of total system cost. The possibility of future BOS cost reduction is examined. It is concluded that, given the nature of BOS costs and the lack of comprehensive national effort focussed on cost reduction, it is unlikely that BOS costs will decline greatly in the next several years. This prognosis is contrasted with the expectations of the Department of Energy National Photovoltaic Program goals and pending legislation in the Congress which require a BOS cost reduction of an order of magnitude or more by the mid-1980s.
Differences in the interaction of p21c-Ha-ras-GMP-PNP with full-length neurofibromin and GTPase-activating protein. (1993)

Neurofibromin, the product of the neurofibromatosis type 1 gene, was found to form a stable complex with immobilized p21c-Ha-ras-GMP-PNP (a non-hydrolyzable GTP analog). This complex, detectable as early as 30 min after addition of crude brain extract, is extremely stable, with less than 50% dissociating after 5 h at 4 degrees C. We interpret this to suggest that the dissociation of full-length neurofibromin from p21c-Ha-ras-GMP-PNP is tightly linked to the hydrolysis of GTP to GDP. Failure to remove a significant proportion of the bound neurofibromin in the presence of EDTA and GDP implies that the binding of neurofibromin to p21c-Ha-ras-GMP-PNP results in the ras protein becoming resistant to guanine nucleotide exchange. Under conditions in which neurofibromin quantitatively binds to p21c-Ha-ras-GMP-PNP, we were unable to detect a complex between p21c-Ha-ras and GAP (GTPase-activating protein). The failure to detect GAP binding to immobilized p21c-Ha-ras-GMP-PNP cannot be explained by the known differences in affinities of the GAP-related domain of neurofibromin and GAP for p21c-Ha-ras-GTP. GAP is, however, able to interact biochemically with immobilized p21c-Ha-ras, suggesting a difference in the interaction between GAP and neurofibromin with p21c-Ha-ras-GMP-PNP.
On-body device localization for health and medical monitoring applications (2011)

We present a technique to discover the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health and medical monitoring systems. In addition, it provides opportunities to improve the performance and usability of ubiquitous devices. Our technique uses accelerometers to capture motion data to estimate the location of the device on the user's body, using mixed supervised and unsupervised time series analysis methods. We have evaluated our technique with extensive experiments on 25 subjects. On average, our technique achieves 89% accuracy in estimating the location of devices on the body.
Studying Cellular Processes and Detecting Disease with Protein Microarrays (2005)

Protein microarrays are a rapidly developing analytic tool with diverse applications in biomedical research. These applications include profiling of disease markers or autoimmune responses, understanding molecular pathways, protein modifications, and protein activities. One factor that is driving this expanding usage is the wide variety of experimental formats that protein microarrays can take. In this review, we provide a short, conceptual overview of the different approaches for protein microarray. We then examine some of the most significant applications of these microarrays to date, with an emphasis on how global protein analyses can be used to facilitate biomedical research.
Using Gas Modifiers to Significantly Improve Sensitivity and Selectivity in a Cylindrical FAIMS Device (2014)

Recent reports describing enhanced performance when using gas additives in a DMS device (planar electrodes) have indicated that comparable benefits are not attainable using FAIMS (cylindrical electrodes), owing to the non-homogeneous electric fields within the analyzer region. In this study, a FAIMS system (having cylindrical electrodes) was modified to allow for controlled delivery of gas additives. An experiment was carried out that illustrates the important distinction between gas modifiers present as unregulated contaminants and modifiers added in a controlled manner. The effect of contamination was simulated by adjusting the ESI needle position to promote incomplete desolvation, thereby permitting ESI solvent vapor into the FAIMS analyzer region, causing signal instability and irreproducible CV values. However, by actively controlling the delivery of the gas modifier, reproducible CV spectra were obtained. The effects of adding different gas modifiers were examined using 15 positive ions having mass-to-charge (m/z) values between 90 and 734. Significant improvements in peak capacity and increases in ion transmission were readily attained by adding acetonitrile vapor, even at trace levels (≤0.1%). Increases in signal intensity were greatest for the low m/z ions; for the six lowest molecular weight species, signal intensities increased by ∼10- to over 100-fold compared with using nitrogen without gas additives, resulting in equivalent or better signal intensities compared with ESI without FAIMS. These results confirm that analytical benefits derived from the addition of gas modifiers reported with a uniform electric field (DMS) also are observed using a non-homogenous electric field (FAIMS) in the analyser region.
Fuzzy Mathematical Approach to Pattern Recognition (1986)

This book aims to present results of investigations, both experimental and theoretical, into the effectiveness of fuzzy algorithms as classification tools in some problems concerned with the field of pattern recognition and image processing. Compares results to those obtained with statistical classification techniques.
Numerical study of multigrid implementations of some iterative image reconstruction algorithms (1991)

The numerical behavior of multigrid implementations of the Landweber, generalized Landweber, ART, and MLEM iterative image reconstruction algorithms is investigated. Comparisons between these algorithms, and with their single-grid implementations, are made on two small-scale synthetic PET systems, for phantom objects exhibiting different characteristics, and on one full-scale synthetic system, for a Shepp-Logan phantom. The authors also show analytically the effects of noise and initial condition on the generalized Landweber iteration, and note how to choose the shaping operator to filter out noise in the data, or to enhance features of interest in the reconstructed image. Original contributions include (1) numerical studies of the convergence rates of single-grid and multigrid implementations of the Landweber, generalized Landweber, ART, and MLEM iterations and (2) effects of noise and initial condition on the generalized Landweber iteration, with procedures for filtering out noise or enhancing image features.