gebhart/patrepeval huggingface dataset:
Membrane Heat Pump for Combined Sensible and Latent Cooling (2015)

Membrane heat pumps are an emerging technology capable of outperforming current vapor-compression cooling systems. The membrane heat pump provides sensible cooling by the same principles used in an evaporative chiller. However, these systems can continue to provide sensible cooling when outside air has dew points higher than the desired coil temperature. Additionally, the membrane heat pump will dehumidify the supply air. This technology is enabled by water vapor transfer membranes with air as the working fluid in partial vacuum. The membrane heat pump is very exciting from an engineering standpoint because the key components of these systems exist today with the main development challenge being design and integration. This will result in a system that is both efficient and sustainable. This poster will discuss the development of a prototype membrane heat pump. Component and system-level design for a fully scalable commercial unit will be described. Cooling capacity and the coefficient of performance derived from experimental data are compared to modeling results. The key parameters impacting cost and performance will also be discussed.
Relativistic Photoionization Computations with the Time Dependent Dirac Equation (2016)

Ionization of inner shell electrons by laser fields often occurs in the relativistic regime. A complete description of this phenomenon requires both relativistic and quantum mechanical treatment. The Dirac equation describes the motion of a spin one-half particle in an external electromagnetic field. The stationary states in both Coulomb and soft-core potentials are solved either analytically or numerically. These are used as initial conditions in time dependent calculations. It is found that, at least in one case, two-dimensional simulations predict a greater ionization rate than the one predicted by the Coulomb corrected strong field approximation. Computational performance is important due to the rapid oscillations in a relativistic wavefunction. Multiple General Purpose Graphical Processing Units are utilized in parallel to speed up calculations.
Epigenetic Age Acceleration Assessed with Human White-Matter Images (2017)

The accurate estimation of age using methylation data has proved a useful and heritable biomarker, with acceleration in epigenetic age predicting a number of age-related phenotypes. Measures of white matter integrity in the brain are also heritable and highly sensitive to both normal and pathological aging processes across adulthood. We consider the phenotypic and genetic interrelationships between epigenetic age acceleration and white matter integrity in humans. Our goal was to investigate processes that underlie interindividual variability in age-related changes in the brain. Using blood taken from a Mexican-American extended pedigree sample (<i>n</i> = 628; age = 23.28-93.11 years), epigenetic age was estimated using the method developed by Horvath (2013). For <i>n</i> = 376 individuals, diffusion tensor imaging scans were also available. The interrelationship between epigenetic age acceleration and global white matter integrity was investigated with variance decomposition methods. To test for neuroanatomical specificity, 16 specific tracts were additionally considered. We observed negative phenotypic correlations between epigenetic age acceleration and global white matter tract integrity (ρ<sub>pheno</sub> = -0.119, <i>p</i> = 0.028), with evidence of shared genetic (ρ<sub>gene</sub> = -0.463, <i>p</i> = 0.013) but not environmental influences. Negative phenotypic and genetic correlations with age acceleration were also seen for a number of specific white matter tracts, along with additional negative phenotypic correlations between granulocyte abundance and white matter integrity. These findings (i.e., increased acceleration in epigenetic age in peripheral blood correlates with reduced white matter integrity in the brain and shares common genetic influences) provide a window into the neurobiology of aging processes within the brain and a potential biomarker of normal and pathological brain aging.<b>SIGNIFICANCE STATEMENT</b> Epigenetic measures can be used to predict age with a high degree of accuracy and so capture acceleration in biological age, relative to chronological age. The white matter tracts within the brain are also highly sensitive to aging processes. We show that increased biological aging (measured using epigenetic data from blood samples) is correlated with reduced integrity of white matter tracts within the human brain (measured using diffusion tensor imaging) with data from a large sample of Mexican-American families. Given the family design of the sample, we are also able to demonstrate that epigenetic aging and white matter tract integrity also share common genetic influences. Therefore, epigenetic age may be a potential, and accessible, biomarker of brain aging.
Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates (2020)

An increasing number of distributed machine learning applications require efficient communication of neural network parameterizations. DeepCABAC, an algorithm in the current working draft of the emerging MPEG-7 part 17 standard for compression of neural networks for multimedia content description and analysis, has demonstrated high compression gains for a variety of neural network models. In this paper we propose a method for employing DeepCABAC in a Federated Learning scenario for the exchange of intermediate differential parameterizations. Furthermore, we discuss the efficiency of DeepCABAC when compressing trained neural networks. Our experiments on large neural networks show that in both scenarios, DeepCABAC achieves competitive compression rates, without degrading the network accuracy.
Structural and conformational studies of 2-phenyl-1,3,2-diaza- and -dioxaboracycloalkanes (1972)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTStructural and conformational studies of 2-phenyl-1,3,2-diaza- and -dioxaboracycloalkanesFranklin A. Davis, Ignatius J. Turchi, Bruce E. Maryanoff, and Robert O. HutchinsCite this: J. Org. Chem. 1972, 37, 10, 1583–1587Publication Date (Print):May 1, 1972Publication History Published online1 May 2002Published inissue 1 May 1972https://pubs.acs.org/doi/10.1021/jo00975a027https://doi.org/10.1021/jo00975a027research-articleACS PublicationsRequest reuse permissionsArticle Views247Altmetric-Citations18LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
ChemInform Abstract: The Chemistry of Isopyrene (Azuleno(2,1,8‐ija)azulene). Oxidations. (1987)

Abstract The nonbenzenoid hydrocarbon isopyrene (II), prepared by pyrolytic decarboxylation of the dioxodimethanoannulene (I), is treated with some oxidation reagents.
Programmable High-Throughput Platform for the Rapid and Scalable Synthesis of Polyester and Polycarbonate Libraries (2019)

The critical role of composition, architecture, molecular weight, and molecular weight distribution on the functional properties of macromolecular materials underscores the need for reproducible, robust, scalable, and programmable synthetic methods to generate macromolecules that span a systematic and wide range of structure-property space. Herein, we describe the marriage of tunable and highly active organic catalysts with programmed continuous-flow reactors to rapidly generate libraries of polyester and polycarbonate homopolymers and block copolymers with exquisite efficiency and control. Under continuous-flow conditions, highly controlled polymerizations occur with residence times as low as 6 ms (TOF = 24 000 000 h<sup>-1</sup>) and can be readily scaled-up to generate polymers at a rate of tens of grams per minute. We describe an in-flow catalyst switch strategy to enable the rapid generation of block copolymer libraries (100 distinct polymers in 9 min) from monomers with drastically different reactivity profiles.
Bridged Piperidine Derivatives Useful as γ-Secretase Inhibitors for the Treatment of Alzheimer’s Disease (2018)

ADVERTISEMENT RETURN TO ISSUEPREVPatent HighlightNEXTBridged Piperidine Derivatives Useful as γ-Secretase Inhibitors for the Treatment of Alzheimer's DiseaseBenjamin E. Blass*Benjamin E. BlassMoulder Center for Drug Discovery Research, Temple University School of Pharmacy, Philadelphia, Pennsylvania 19140, United States*E-mail: [email protected]More by Benjamin E. Blasshttp://orcid.org/0000-0003-2449-4503Cite this: ACS Med. Chem. Lett. 2019, 10, 1, 6–7Publication Date (Web):December 7, 2018Publication History Received11 November 2018Published online7 December 2018Published inissue 10 January 2019https://pubs.acs.org/doi/10.1021/acsmedchemlett.8b00544https://doi.org/10.1021/acsmedchemlett.8b00544editorialACS PublicationsCopyright © 2018 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views1426Altmetric-Citations1LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (479 KB) Get e-AlertscloseSUBJECTS:Alkyls,Assays,Group 17 compounds,Hydrogen,Nervous system diseases Get e-Alerts
Noise in self-electrooptic effect device logic gates (1994)

We study the fundamental noise processes of SEED-based logic gates. The noise is calculated for symmetric SEEDs (S-SEEDs), asymmetric Fabry-Perot S-SEEDs (ASFP S-SEEDs), and SEEDs combined with transistor driving circuits (FET-SEEDs). The source of noise which determines the minimum power required to switch the SEEDs in a given time increment is quantum noise associated with photon absorption and subsequent carrier or exciton recombination. The results show that FET-SEED logic gates have the lowest noise power as compared with S-SEEDs and ASFP S-SEEDs.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Estimating Group Stress Level by Measuring Body Motion (2021)

Understanding employee stress has become a key issue for top management for corporate growth and risk reduction. So far, annual employee satisfaction surveys (ESs) have been conducted to assess the soundness of an organization. However, since it is difficult to collect questionnaires quantitatively and continuously, there is a need for a practical method that can be used to frequently measure group stress levels with a small burden on employees. We propose such a method and evaluated four combinations of approaches, using activity/rest duration distributions from body motion data and generating estimation models on an individual/group basis. The optimal result was obtained when modeling was made on a group basis by using the activity duration distribution (<i>r</i> = 0.928, <i>p</i> < 0.001, estimation error: 1.36%), making it possible to assess the degree of the stress of employees quantitatively and easily, and this showed the possibility of this method being useful as a management guide for companies.
Long-Term Health Outcomes and Health-Related Quality of Life in Adolescents from a Cohort of Extremely Premature Infants Born at Less Than 27 Weeks of Gestation in Northern Germany (2016)

<b>Background</b> Little is known about the psychosocial development and health-related quality of life (HRQOL) of extremely preterm infants once they are adolescents. <b>Methods</b> The regional population-based study cohort included 90 extremely premature infants (< 27<sup>+0</sup> gestational weeks) born between January 1997 and December 1999 in the German state of Schleswig-Holstein. In addition to a neurological and cognitive Wechsler Intelligence Scale for Children, 4th edition assessment, self- and parent-reported psychological problems (Strengths and Difficulties Questionnaire), and health-related quality of life (KINDL<sup>R</sup>) were obtained and compared with a general population of 3,737 adolescents using data from a German Health Interview and Examination Survey for Children and Adolescents (KiGGS survey 2003-2006, Robert Koch Institute, Germany). <b>Results</b> Overall, 72 of the 90 surviving adolescents and their families (80.0%) participated in this study (mean age: 15.7 years; range: 14.2-17.2). A total of 22 adolescents (30.6%) did not have any neurosensory or cognitive limitations, whereas 31 adolescents (43.1%) were affected by multiple impairments. Parent-reported psychological problems were more common in the study cohort for the total difficulties score (11.3 points [standard deviation, SD: 5.9] vs. 7.7 points [SD: 5.0], <i>p</i> < 0.001) and for three of the five domains (emotional symptoms, hyperactivity-inattention, peer relationship problems) compared with the KiGGS reference population. In contrast, the rate of self-reported "abnormal" psychological problems was similar to the reference population. Parent-reported HRQOL was significantly lower in the study cohort for the total score (-3.7 points, <i>p</i> < 0.05) and for three of six subscales (emotional wellbeing, <i>p</i> < 0.05; self-esteem, <i>p</i> < 0.001, and wellbeing with regard to friends/friendship, <i>p</i> < 0.001). The adolescents themselves reported an HRQOL similar to that of the KiGGS reference population, though they rated their HRQOL higher for wellbeing with regard to families (<i>p</i> < 0.001) and wellbeing with regard to school/all-day function (<i>p</i> < 0.001). Overall, the parent- and self-reported HRQOL results were not associated with maternal education or disability status but were associated with adolescents' psychological problems. <b>Conclusion</b> Concordant with the high rate of functional and cognitive limitations, parents of adolescents who were born extremely prematurely faced more psychological problems in their children and reported a lower HRQOL compared with the KiGGS reference population. The adolescents themselves did not recognize these differences. However, having psychological problems was associated with lower self- and parent-reported HRQOL results.
1P1-Q01 Analysis of Human Cochlea Structure and Function (2015)

This paper points out that the human auditory sensitivity is enhanced by the resonance of the organ of Corti and the leverage of stereocilia. We supposed a simple common vibration model for both the organ of Corti and the stereocilia, where they are represented by 2 parallel linked levers. The model suggests the longitude of stereocilium reinforces vibration detection with elasticity leverage. We also manufactured a device article obedient to the model, and, through 4 experiments, measured the system transfer function with static/dynamic and concentrated/distributed loads. The device response had a resonance peak in both concentrated and distributed excitation condition. We presume this resonance enhances the frequency resonance and vibration amplification on human cochlea.
Graphene-based antimicrobial polymeric membranes: a review (2017)

Graphene-based nanocomposites have been increasingly used for the design of antimicrobial polymeric membranes due to enhanced antibacterial properties.
Association of Adherence to The Mediterranean Diet with Urinary Factors Favoring Renal Lithiasis: Cross-Sectional Study of Overweight Individuals with Metabolic Syndrome (2019)

Our purpose was to study the relationship of adherence to the Mediterranean diet (MedDiet) with urinary factors that favor the formation of renal calcium and uric acid stones in overweight and obese participants who had metabolic syndrome. This cross-sectional study examined 267 participants. A well-known MedDiet score (range 0-9) was calculated for each patient, and patients were then categorized has having low (≤3), medium (4-5), or high (≥6) adherence to the MedDiet. Baseline characteristics and urinary parameters were also analyzed. High calcium salt urinary crystallization risk (CaUCR) and high uric acid urinary crystallization risk (UrUCR) were calculated from urinary parameters using pre-defined criteria. More than half of patients with MedDiet scores ≤3 had high UrUCR (55.4%) and high CaUCR (53.8%). In contrast, fewer patients with high adherence (≥6) to the MedDiet had high UrUCR (41.2%) and high CaUCR (29.4%). Relative to those with low adherence, individuals with high adherence had a prevalence ratio (PR) of 0.77 for a high UrUCR (95% CI: 0.46-1.12; p for trend: 0.069) and a PR of 0.51 for a high CaUCR (95% CI: 0.26-0.87; p for trend: 0.012) after adjusting for age, sex, body mass index, type 2 diabetes, and total energy intake. Our findings indicate that greater adherence to the MedDiet was associated with a reduced CaUCR and a reduced UrUCR. This suggests that adequate dietary management using the MedDiet patterns may prevent or reduce the incidence and recurrence of calcium salt and uric acid renal stones.
Boundary Layer Profiles in Plasma Chemical Vapor Deposition (1993)

A nonlinear optical spectroscopy based on degenerate four-wave mixing has made possible direct measurements of species temperature and concentration profiles through the boundary layer of a reactive plasma at atmospheric pressure. Spectra were obtained for CH and C(2) radicals over a range of conditions including those for the plasma chemical vapor deposition of diamond films. Numerical simulations based on a one-dimensional stagnation-point flow model are in good agreement with the measurements. The CH mole fraction is shown to rise and fall as a function of distance from the substrate, which is compelling experimental evidence for the complex chemistry that is occurring in the plasma boundary layer.
Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber (2021)

We present the multiple particle identification (MPID) network, a convolutional neural network for multiple object classification, developed by MicroBooNE. MPID provides the probabilities that an interaction includes an ${e}^{\ensuremath{-}}$, $\ensuremath{\gamma}$, ${\ensuremath{\mu}}^{\ensuremath{-}}$, ${\ensuremath{\pi}}^{\ifmmode\pm\else\textpm\fi{}}$, and protons in a liquid argon time projection chamber single readout plane. The network extends the single particle identification network previously developed by MicroBooNE [Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber, R. Acciarri et al. J. Instrum. 12, P03011 (2017)]. MPID takes as input an image either cropped around a reconstructed interaction vertex or containing only activity connected to a reconstructed vertex, therefore relieving the tool from inefficiencies in vertex finding and particle clustering. The network serves as an important component in MicroBooNE's deep-learning-based ${\ensuremath{\nu}}_{e}$ search analysis. In this paper, we present the network's design, training, and performance on simulation and data from the MicroBooNE detector.
Self-Assembled Gold Nanoparticle Molecular Probes for Detecting Proteolytic Activity In Vivo (2010)

Target-activatable fluorogenic probes based on gold nanoparticles (AuNPs) functionalized with self-assembled heterogeneous monolayers of dye-labeled peptides and poly(ethylene glycol) have been developed to visualize proteolytic activity in vivo. A one-step synthesis strategy that allows simple generation of surface-defined AuNP probe libraries is presented as a means of tailoring and evaluating probe characteristics for maximal fluorescence enhancement after protease activation. Optimal AuNP probes targeted to trypsin and urokinase-type plasminogen activator required the incorporation of a dark quencher to achieve 5- to 8-fold signal amplification. These probes exhibited extended circulation time in vivo and high image contrast in a mouse tumor model.
Soliciting User Feedback in a Dataspace System (2007)

A primary challenge to large-scale data integration is creating semantic equivalences between elements from different data sources that correspond to the same real-world entity or concept. Dataspaces propose a pay-as-you-go approach: automated mechanisms such as schema matching and reference reconciliation provide a initial correspondences, termed candidate matches, and then user feedback is used to incrementally confirm these matches. The key to this approach is to determine in what order to solicit user feedback for confirming candidate matches. &lt;p&gt; In this paper, we develop a decision-theoretic framework for ordering candidate matches for user confirmation using the concept of the value of perfect information (VPI). At the core of this concept is a utility function that quantifies the desirability of a given state; thus, we devise a utility function for dataspaces based on query result quality. We show in practice how to efficiently apply VPI in concert with this utility function to order user confirmations. A detailed experimental evaluation shows that the ordering of user feedback produced by this VPI-based approach yields a dataspace with a significantly higher utility than a wide range of other ordering strategies. Finally, we outline the design of Roomba, a system that incorporates this decision-theoretic framework to guide a dataspace in soliciting user feedback in a pay-as-you-go manner
Miniaturization of artificial magnetic conductors (2010)

In this paper, we introduce a novel multilayer artificial magnetic conductor providing a λ/60 unit cell periodicity while maintaining a 10% bandwidth. Full-wave simulations are mainly driven to give a proof of concept of this miniaturization method. Experimental validation of simple cases leads to a very good agreement with both numerical results and analytical method specifically developed to model multilayer structures.