gebhart/patrepeval huggingface dataset:
Data from Durable Complete Responses in Heavily Pretreated Patients with Metastatic Melanoma Using T-Cell Transfer Immunotherapy (2023)

&lt;div&gt;Abstract&lt;p&gt;&lt;b&gt;Purpose:&lt;/b&gt; Most treatments for patients with metastatic melanoma have a low rate of complete regression and thus overall survival in these patients is poor. We investigated the ability of adoptive cell transfer utilizing autologous tumor-infiltrating lymphocytes (TIL) to mediate durable complete regressions in heavily pretreated patients with metastatic melanoma.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Experimental Design:&lt;/b&gt; Ninety-three patients with measurable metastatic melanoma were treated with the adoptive transfer of autologous TILs administered in conjunction with interleukin-2 following a lymphodepleting preparative regimen on three sequential clinical trials. Ninety-five percent of these patients had progressive disease following a prior systemic treatment. Median potential follow-up was 62 months.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Results:&lt;/b&gt; Objective response rates by Response Evaluation Criteria in Solid Tumors (RECIST) in the 3 trials using lymphodepleting preparative regimens (chemotherapy alone or with 2 or 12 Gy irradiation) were 49%, 52%, and 72%, respectively. Twenty of the 93 patients (22%) achieved a complete tumor regression, and 19 have ongoing complete regressions beyond 3 years. The actuarial 3- and 5-year survival rates for the entire group were 36% and 29%, respectively, but for the 20 complete responders were 100% and 93%. The likelihood of achieving a complete response was similar regardless of prior therapy. Factors associated with objective response included longer telomeres of the infused cells, the number of CD8&lt;sup&gt;+&lt;/sup&gt;CD27&lt;sup&gt;+&lt;/sup&gt; cells infused, and the persistence of the infused cells in the circulation at 1 month (all &lt;i&gt;P&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt; &lt; 0.001).&lt;/p&gt;&lt;p&gt;&lt;b&gt;Conclusions:&lt;/b&gt; Cell transfer therapy with autologous TILs can mediate durable complete responses in patients with metastatic melanoma and has similar efficacy irrespective of prior treatment. &lt;i&gt;Clin Cancer Res; 17(13); 4550–7. ©2011 AACR&lt;/i&gt;.&lt;/p&gt;&lt;/div&gt;
Information Rates and Optimal Decoding in Large Neural Populations (2011)

Many fundamental questions in theoretical neuroscience involve optimal decoding and the computation of Shannon information rates in populations of spiking neurons. In this paper, we apply methods from the asymptotic theory of statistical inference to obtain a clearer analytical understanding of these quantities. We find that for large neural populations carrying a finite total amount of information, the full spiking population response is asymptotically as informative as a single observation from a Gaussian process whose mean and covariance can be characterized explicitly in terms of network and single neuron properties. The Gaussian form of this asymptotic sufficient statistic allows us in certain cases to perform optimal Bayesian decoding by simple linear transformations, and to obtain closed-form expressions of the Shannon information carried by the network. One technical advantage of the theory is that it may be applied easily even to non-Poisson point process network models; for example, we find that under some conditions, neural populations with strong history-dependent (non-Poisson) effects carry exactly the same information as do simpler equivalent populations of non-interacting Poisson neurons with matched firing rates. We argue that our findings help to clarify some results from the recent literature on neural decoding and neuroprosthetic design.
The Monte Carlo algorithm with a pseudorandom generator (1992)

We analyze the Monte Carlo algorithm for the approximation of multivariate integrals when a pseudorandom generator is used. We establish lower and upper bounds on the error of such algorithms. We prove that as long as a pseudorandom generator is capable of producing only finitely many points, the Monte Carlo algorithm with such a pseudorandom generator fails for <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L 2"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">{L_2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> or continuous functions. It also fails for Lipschitz functions if the number of points does not depend on the number of variables. This is the case if a linear congruential generator is used with one initial seed. On the other hand, if a linear congruential generator of period <italic>m</italic> is used for each component, with independent uniformly distributed initial seeds, then the Monte Carlo algorithm with such a pseudorandom generator using <italic>n</italic> function values behaves as for the uniform distribution and its expected error is roughly <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n Superscript negative 1 slash 2"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>n</mml:mi> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo>−</mml:mo> <mml:mn>1</mml:mn> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo>/</mml:mo> </mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{n^{ - 1/2}}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> as long as the number <italic>n</italic> of function values is less than <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="m squared"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>m</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{m^2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>.
Nanometer-scale elongation rate fluctuations in theMyriophyllum aquaticum(Parrot feather) stem were altered by radio-frequency electromagnetic radiation (2014)

The emission of radio-frequency electromagnetic radiation (EMR) by various wireless communication base stations has increased in recent years. While there is wide concern about the effects of EMR on humans and animals, the influence of EMR on plants is not well understood. In this study, we investigated the effect of EMR on the growth dynamics of Myriophyllum aquaticum (Parrot feather) by measuring the nanometric elongation rate fluctuation (NERF) using a statistical interferometry technique. Plants were exposed to 2 GHz EMR at a maximum of 1.42 Wm(-2) for 1 h. After continuous exposure to EMR, M. aquaticum plants exhibited a statistically significant 51 ± 16% reduction in NERF standard deviation. Temperature observations revealed that EMR exposure did not cause dielectric heating of the plants. Therefore, the reduced NERF was due to a non-thermal effect caused by EMR exposure. The alteration in NERF continued for at least 2.5 h after EMR exposure and no significant recovery was found in post-EMR NERF during the experimental period.
Indoor Wireless Localization of Uncooperative Sources Using a Ray Tracing Model (2023)

Indoor geolocation of radio frequency (RF) transmitters is challenging due to site-specific multipath effects, especially when the sources are uncooperative. A source being uncooperative means that a-priori the transmit time, location, and power are unknown. It is proposed to use a site-specific ray tracing model to generate realistic indoor RF responses, perform geolocation using multiple methods, and compare their performance. This work will look at two types of geolocation algorithms: (1) time-difference of arrival (TDOA) and (2) received signal strength Indicator (RSSI) fingerprinting or pattern-matching-based methods. An indoor space will be simulated with a grid of fixed receivers and a grid of transmit locations using Remcom's Wireless InSite. Using the output of the Wireless InSite simulation the response from any given transmit location can be generated and used to evaluate geolocation performance.
ChemInform Abstract: TRIS(TERT‐BUTYLIMINO)SULFUR(VI) AND BIS(TERT‐BUTYLIMINO) (SILYLIMINO)SULFUR(VI) ‐ COMPOUNDS WITH ′YPSILON TRIENE′ STRUCTURE (1978)

Abstract Verbindungen mit "Ypsilontrien"‐Struktur.
The effects of gas-fluid-rock interactions on CO2 injection and storage: Insights from reactive transport modeling (2009)

Possible means of reducing atmospheric CO2 emissions include injecting CO2 in petroleum reservoirs for Enhanced Oil Recovery or storing CO2 in deep saline aquifers. Large-scale injection of CO2 into subsurface reservoirs would induce a complex interplay of multiphase flow, capillary trapping, dissolution, diffusion, convection, and chemical reactions that may have significant impacts on both short-term injection performance and long-term fate of CO2 storage. Reactive Transport Modeling is a promising approach that can be used to predict the spatial and temporal evolution of injected CO2 and associated gas-fluid-rock interactions. This presentation will summarize recent advances in reactive transport modeling of CO2 storage and review key technical issues on (1) the short- and long-term behavior of injected CO2 in geological formations; (2) the role of reservoir mineral heterogeneity on injection performance and storage security; (3) the effect of gas mixtures (e.g., H2S and SO2) on CO2 storage; and (4) the physical and chemical processes during potential leakage of CO2 from the primary storage reservoir. Simulation results suggest that CO2 trapping capacity, rate, and impact on reservoir rocks depend on primary mineral composition and injecting gas mixtures. For example, models predict that the injection of CO2 alone or co-injection with H2S in both sandstone and carbonate reservoirs lead to acidified zones and mineral dissolution adjacent to the injection well, and carbonate precipitation and mineral trapping away from the well. Co-injection of CO2 with H2S and in particular with SO2 causes greater formation alteration and complex sulfur mineral (alunite, anhydrite, and pyrite) trapping, sometimes at a much faster rate than previously thought. The results from Reactive Transport Modeling provide valuable insights for analyzing and assessing the dynamic behaviors of injected CO2, identifying and characterizing potential storage sites, and managing injection performance and reducing costs.
Lightweight Deep Residual CNN for Fault Diagnosis of Rotating Machinery Based on Depthwise Separable Convolutions (2019)

This paper proposes an efficient and noise-insensitive end-to-end lightweight deep learning method. The method synthesizes the characteristics of a frequency domain transform and a deep convolutional neural network. The former can extract multiscale information in vibration signal processing and the latter has a good classification performance, data-driven, and high transfer-learning ability. A vibration signal is decomposed into a pyramidal wavelet packet, and each sub-band coefficient is used as an input of a channel in the deep network. A deep residual convolutional network based on a separable convolution and concatenated rectified linear unit (CReLU) lightweight convolution technology is used for fault diagnosis. The proposed algorithm is compared with related deep learning algorithms using two bearing datasets produced by Case Western Reserve University (CWRU) and the Center for Intelligent Maintenance Systems (IMS), University of Cincinnati. Compared with the existing algorithms, the experimental results show that the comprehensive performance of the algorithm proposed in this paper is “small, light, and fast,” and satisfactory diagnostic results are obtained in the fault diagnosis of rotating machinery.
PD15-02 HYPOTHERMIC NERVE-SPARING RADICAL PROSTATECTOMY FACILITATES EARLIER RECOVERY OF POTENCY AT ONE YEAR (2017)

INTRODUCTION AND OBJECTIVES: Regional hypothermia (RH) had been suggested based on pilot trial as an attempt to accelerate the return of potency after radical prostatectomy by reducing the consequences of acute trauma and the inflammatory cascade. We investigated its substantial advantage in large number of patients, in comparison with normothermia (NT) counterparts.
Real-Time Image Sketch (2009)

A real-time non-photorealistic rendering technique that generates a sketch from a real photograph is presented in this paper. In accordance with the features of sketch and human vision,the authors draw the contours according to the conceptual color difference,and generate the shadow with the importance map which is produced from the intensity of light,and combine them to create the final desired sketch. Compared with current methods,the framework design doesn’t demand human-computer interaction,and can get better visual effects as well as allow real-time implementation.
Research Needs: Glass Solar Reflectance and Vinyl Siding (2011)

The subject of glass solar reflectance and its contribution to permanent vinyl siding distortion has not been extensively studied, and some phenomena are not yet well understood. This white paper presents what is known regarding the issue and identifies where more research is needed. Three primary topics are discussed: environmental factors that control the transfer of heat to and from the siding surface; vinyl siding properties that may affect heat build-up and permanent distortion; and factors that determine the properties of reflected solar radiation from glass surfaces, including insulating window glass. Further research is needed to fully characterize the conditions associated with siding distortion, the scope of the problem, physical properties of vinyl siding, insulating window glass reflection characteristics, and possible mitigation or prevention strategies.
VenueRank: Identifying Venues that Contribute to Artist Popularity (2018)

An important problem in the live music industry is finding venues that help expose artists to wider audiences. However, it is often difficult to obtain live music audience data to tackle this task. In this work, we investigate whether important venues can instead be inferred through social media data. Our approach consists of employing bipartite graph ranking algorithms to help discover important venues in artist-venue graphs mined from Facebook. We use both well-established algorithms, such as BiRank, and a modification of their common iterative scheme that avoids the impact of possibly erroneous heuristics to the ranking, which we call VenueRank. Resulting venue ranks are compared to those obtained from feature extraction for predicting the most listened artists and large listener increments in Spotify. This comparison yields high correlation between venue importance for listener prediction and bipartite graph ranking algorithms, with VenueRank found more robust against overfitting.
Quantitative Proteomic Profiling of Murine Embryonic Heart Development Reveals a Role for the Mevalonate Pathway in Cardiomyocyte Proliferation (2022)

SUMMARY Defining the molecular mechanisms that govern heart development is essential for identifying the etiology of congenital heart disease. Here, quantitative proteomics was used to measure temporal changes in the cardiac proteome at eight critical stages of murine embryonic heart development. Global temporal profiles of the over 7,300 identified proteins uncovered signature cardiac protein interaction networks that linked protein dynamics with molecular pathways. Using this integrated dataset, we identified and established a functional role for the mevalonate pathway in the regulation of embryonic cardiomyocyte proliferation and cell signaling. Overall, our proteomic datasets are an invaluable resource for studying molecular events that regulate embryonic heart development and contribute to congenital heart disease.
Development of a Fluorescent-Bead-Based Multiplex Immunoassay To Determine Immunoglobulin G Subclass Responses to Neisseria meningitidis Serogroup A and C Polysaccharides (2008)

A fluorescent-particle-based multiplex flow cytometric immunoassay (MIA) for the detection of serum immunoglobulin G (IgG) and two IgG subclasses, IgG1 and IgG2, specific for Neisseria meningitidis serogroup A (MenA) and C (MenC) polysaccharides (PS) was developed. The assay comprised three separate duplex assays, one for the detection of the IgG response to MenA and MenC PS, another for the detection of the IgG1 response to MenA and MenC PS, and a third for the detection of the IgG2 response to MenA and MenC PS. Next, the three separate duplex assays were combined and analyzed as a hexaplex assay. No interference between monoplex, duplex, and hexaplex assays was observed, and the assay was found to have low intra- and interassay variation (<9.0% and <27%, respectively). Comparison of the meningococcal subclass MIA to the in-house enzyme-linked inmmunosorbent assays showed a good correlation (R >or= 0.85) for each of the subclasses. We conclude that the hexaplex meningococcal subclass MIA is an easy and specific assay for the determination of anti-MenA and anti-MenC PS subclass IgG, requiring minimal amounts of serum to study IgG subclass responses to vaccines.
Syntactic Parsing of Web Queries with Question Intent (2016)

Accurate automatic processing of Web queries is important for high-quality information retrieval from the Web. While the syntactic structure of a large portion of these queries is trivial, the structure of queries with question intent is much richer. In this paper we therefore address the task of statistical syntactic parsing of such queries. We first show that the standard dependency grammar does not account for the full range of syntactic structures manifested by queries with question intent. To alleviate this issue we extend the dependency grammar to account for segments -independent syntactic units within a potentially larger syntactic structure. We then propose two distant supervision approaches for the task. Both algorithms do not require manually parsed queries for training. Instead, they are trained on millions of (query, page title) pairs from the Community Question Answering (CQA) domain, where the CQA page was clicked by the user who initiated the query in a search engine. Experiments on a new treebank 1 consisting of 5,000 Web queries from the CQA domain, manually parsed using the proposed grammar, show that our algorithms outperform alternative approaches trained on various sources: tens of thousands of manually parsed OntoNotes sentences, millions of unlabeled CQA queries and thousands of manually segmented CQA queries.
Difficulties Encountered in the Detection of Nitric Oxide (No) by Spin Trapping Techniques. A Cautionary Note (1991)

The spin trapping technique was used in an attempt to detect the free radical nitric oxide (NO) in solution. Five different spin traps were examined, alpha-phenyl-N-tert butyl nitrone (PBN), alpha-(4-pyridyl-N-oxide) N-tert-butylnitrone (POBN), 5,5-dimethyl-pyrroline-N-oxide (DMPO), 2-methyl-2-nitrosopropane (MNP) and 3,5-dibromo-4-nitrosobenzene sulfonate (DBNBS). Our results suggest that the nitroso spin traps (MNP, DBNBS) are better suited for the identification of NO-related signals, than the nitrones, DMPO, PBN and POBN. In addition, it is shown that spin trapping of NO-related signals with nitroso and nitrone spin traps is subject to many artifacts.
Comparison of high-resolution MRI and SPECT bone scintigraphy for noninvasive imaging of the temporomandibular joint. (1987)

Prospective evaluation by magnetic resonance imaging (MRI) and both single photon emission computed tomography (SPECT) and planar bone scintigraphy was undertaken in 31 temporomandibular joints (TMJs) of 21 symptomatic patients. When compared with the results of subsequent arthrography, MRI (0.88) was more sensitive than SPECT (0.76) or planar (0.56) scintigraphy for detection of internal derangement of the TMJ. A diagnostic sensitivity of 0.96 was achieved when the results of either MRI or SPECT was considered evidence of internal joint derangement. Five symptomatic TMJs, clinically thought to be abnormal, were positive on SPECT but showed no evidence of anterior disk displacement at the time of arthrography. In such instances, SPECT may be detecting functionally significant altered joint mechanics that are not evident on anatomic imaging of the TMJ.
Distributed Resources for the Earth System Grid Advanced Management (DREAM) (2020)

The DREAM project was funded more than 3 years ago to design and implement a next-generation ESGF (Earth System Grid Federation [1]) architecture which would be suitable for managing and accessing data and services resources on a distributed and scalable environment. In particular, the project intended to focus on the computing and visualization capabilities of the stack, which at the time were rather primitive. At the beginning, the team had the general notion that a better ESGF architecture could be built by modularizing each component, and redefining its interaction with other components by defining and exposing a well defined API. Although this was still the high level principle that guided the work, the DREAM project was able to accomplish its goals by leveraging new practices in IT that started just about 3 or 4 years ago: the advent of containerization technologies (specifically, Docker), the development of frameworks to manage containers at scale (Docker Swarm and Kubernetes), and their application to the commercial Cloud. Thanks to these new technologies, DREAM was able to improve the ESGF architecture (including its computing and visualization services) to a level of deployability and scalability beyond the original expectations.
Cell Surface Monkey CD9 Antigen Is a Coreceptor That Increases Diphtheria Toxin Sensitivity and Diphtheria Toxin Receptor Affinity (2000)

Monkey (Mk) CD9 antigen has been shown previously to increase the diphtheria toxin (DT) sensitivity of cells when co-expressed with Mk proHB-EGF (DT receptor). We have elucidated here the mechanism whereby Mk CD9 influences Mk proHB-EGF and present evidence that Mk CD9 is a coreceptor for DT. We observed that Mk CD9 not only increased the DT sensitivity but also increased the DT receptor affinity of cells. Furthermore, the higher the Mk CD9/Mk proHB-EGF ratio, the higher the affinity. In contrast, mouse (Ms) CD9 did not increase the toxin sensitivity or receptor affinity of cells when co-expressed with Mk proHB-EGF. Using Mk/Ms chimeric CD9 molecules, we determined that the second extracellular domain of Mk CD9 is responsible for both increased sensitivity and receptor affinity. This domain of Mk CD9 also interacts with Mk proHB-EGF in a yeast two-hybrid system. Our findings thus suggest that Mk CD9 has a direct physical interaction with Mk proHB-EGF to form a DT receptor complex and that this contact may change the conformation of the receptor to increase DT binding affinity and consequently increase toxin sensitivity. We thus propose that Mk CD9 is a coreceptor for DT.