gebhart/patrepeval huggingface dataset:
Tissue Distribution of Glutamate Carboxypeptidase II (GCPII) with a Focus on the Central and Peripheral Nervous System (2012)

Glutamate carboxypeptidase II, also known as prostate specific membrane antigen or folate hydrolase I, is a type II transmembrane 750 amino acid membrane-bound glycoprotein, with a molecular weight in the human form of approximately 100 kDa and a demonstrated metallopeptidase activity. At the synaptic level it hydrolyzes N-acetylaspartylglutamate to N-acetyl-aspartate and glutamate. Its localization in the animal and human nervous system has only recently been clearly established, since many of the older studies gave conflicting results, likely due to the use of poorly characterized antibodies lacking epitope mapping and proper controls (i.e. immunohistochemistry complemented by western blot analysis and enzyme activity determination). In this chapter, we will review the available literature describing the animal and human distribution of glutamate carboxypeptidase in the central and peripheral nervous system.
Metal Sulfide Photocatalysts for Lignocellulose Valorization (2021)

Transition metal sulfides are an extraordinarily vital class of semiconductors with a wide range of applications in the photocatalytic field. A great number of recent advances in photocatalytic transformations of lignocellulosic biomass, the largest renewable carbon resource, into high-quality fuels and value-added chemicals has been achieved over metal sulfide semiconductors. Herein, the progress and breakthroughs in metal-sulfide-based photocatalytic systems for lignocellulose valorization with an emphasis on selective depolymerization of lignin and oxidative coupling of some important bioplatforms are highligted. The key issues that control reaction pathways and mechanisms are carefully examined. The functions of metal sulfides in the elementary reactions, including CO-bond cleavage, selective oxidations, CC coupling, and CH activation, are discussed to offer insights to guide the rational design of active and selective photocatalysts for sustainable chemistry. The prospects of sulfide photocatalysts in biomass valorization are also analyzed and briefly discussed.
Serdab: An IoT Framework for Partitioning Neural Networks Computation\n across Multiple Enclaves (2020)

Recent advances in Deep Neural Networks (DNN) and Edge Computing have made it\npossible to automatically analyze streams of videos from home/security cameras\nover hierarchical clusters that include edge devices, close to the video\nsource, as well as remote cloud compute resources. However, preserving the\nprivacy and confidentiality of users' sensitive data as it passes through\ndifferent devices remains a concern to most users. Private user data is subject\nto attacks by malicious attackers or misuse by internal administrators who may\nuse the data in activities that are not explicitly approved by the user. To\naddress this challenge, we present Serdab, a distributed orchestration\nframework for deploying deep neural network computation across multiple secure\nenclaves (e.g., Intel SGX). Secure enclaves provide a guarantee on the privacy\nof the data/code deployed inside it. However, their limited hardware resources\nmake them inefficient when solely running an entire deep neural network. To\nbridge this gap, Serdab presents a DNN partitioning strategy to distribute the\nlayers of the neural network across multiple enclave devices or across an\nenclave device and other hardware accelerators. Our partitioning strategy\nachieves up to 4.7x speedup compared to executing the entire neural network in\none enclave.\n
Adenylate kinase AK2 isoform integral in embryo and adult heart homeostasis (2021)

Adenylate kinase2 (AK2) catalyzes trans-compartmental nucleotide exchange, but the functional implications of this mitochondrial intermembrane isoform is only partially understood. Here, transgenic AK2-/- null homozygosity was lethal early in embryo, indicating a mandatory role for intact AK2 in utero development. In the adult, conditional organ-specific ablation of AK2 precipitated abrupt heart failure with Krebs cycle and glycolytic metabolite buildup, suggesting a vital contribution to energy demanding cardiac performance. Depressed pump function recovered to pre-deletion levels overtime, suggestive of an adaptive response. Compensatory upregulation of phosphotransferase AK1, AK3, AK4 isozymes, creatine kinase isoforms, and hexokinase, along with remodeling of cell cycle/growth genes and mitochondrial ultrastructure supported organ rescue. Taken together, the requirement of AK2 in early embryonic stages, and the immediate collapse of heart performance in the AK2-deficient postnatal state underscore a primordial function of the AK2 isoform. Unsalvageable in embryo, loss of AK2 in the adult heart was recoverable, underscoring an AK2-integrated bioenergetics system with innate plasticity to maintain homeostasis on demand.
Fused Heterocyclic Compounds as Ion Channel Modulators (2012)

ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTFused Heterocyclic Compounds as Ion Channel ModulatorsPatent HighlightBenjamin Blass*View Author Information Temple University School of Pharmacy, 3307 North Broad Street, Philadelphia, Pennsylvania, 19140, United States*Tel: 215-707-1085. E-mail: [email protected]Cite this: ACS Med. Chem. Lett. 2012, 3, 8, 616–617Publication Date (Web):July 2, 2012Publication History Published online2 July 2012Published inissue 9 August 2012https://pubs.acs.org/doi/10.1021/ml300158jhttps://doi.org/10.1021/ml300158jeditorialACS PublicationsCopyright © 2012 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 Views1177Altmetric-Citations3LEARN 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 (218 KB) Get e-AlertscloseSUBJECTS:Alkyls,Hydrogen,Inhibition,Ions,Sodium Get e-Alerts
Estimating the model parameters of deep-level transient spectroscopy data using a combined wavelet/singular value decomposition Prony method (2001)

In this article, a combined wavelet/singular value decomposition-Prony method to estimate the time constants associated with deep-level transient spectroscopy data is presented. A filtering scheme based on wavelet denoising is used to provide a preprocessing technique that allows the singular value decomposition-Prony method to be applied to transient capacitance data to accurately estimate the associated time constants. Results for both simulated multiple exponential model data with additive white-Gaussian noise and real transient spectroscopy data are presented to illustrate the applicability of the presented technique. Furthermore, the concept of detecting multiple time constants is investigated and a statistical analysis is performed to address the constraints associated with the presented technique to achieve effective detection and estimation.
Current and Emerging Therapies in Chronic Obstructive Pulmonary Disease (2021)

Abstract Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease that is a leading cause of morbidity and mortality worldwide with an overall prevalence in adults &gt;40 years estimated at 9–10%. The World Health Organization (WHO) estimates that, by 2020, COPD will be the third leading cause of mortality and the fifth leading cause of morbidity in the world. This smoking‐related disease is characterized by progressive airway obstruction that, unlike asthma, is relatively insensitive to bronchodilators and to the classic anti‐inflammatory therapy, corticosteroids. Current therapy focuses mainly on reducing symptoms using inhaled short‐acting and long‐acting bronchodilators either as monotherapies or in combination with inhaled corticosteroids. During the last decade, the pharmaceutical industry has focused on treating COPD distinctly from asthma but no novel agents that target the disease itself have been launched as therapies for this disease. As our understanding of the pathology of COPD has increased it has been established that the progressive pulmonary inflammation that is associated with COPD relates to disease severity. Thus, it is anticipated that drugs that reduce pulmonary inflammation will provide effective, disease‐modifying therapies. Here, we consider the potential of anti‐inflammatory drugs that are currently in clinical development for COPD and discuss how these might reduce pulmonary inflammation in this disease.
Luteinizing hormone releasing hormone. Solid-phase synthesis of a 5-phenylalanine analog possessing high biological activity (1973)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTLuteinizing hormone releasing hormone. Solid-phase synthesis of a 5-phenylalanine analog possessing high biological activityDavid H. Coy, Esther J. Coy, and Andrew V. SchallyCite this: J. Med. Chem. 1973, 16, 1, 83–84Publication Date (Print):January 1, 1973Publication History Published online1 May 2002Published inissue 1 January 1973https://pubs.acs.org/doi/10.1021/jm00259a023https://doi.org/10.1021/jm00259a023research-articleACS PublicationsRequest reuse permissionsArticle Views37Altmetric-Citations20LEARN 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
Structural characterization of the D290V mutation site in hnRNPA2 low-complexity–domain polymers (2018)

Human genetic studies have given evidence of familial, disease-causing mutations in the analogous amino acid residue shared by three related RNA binding proteins causative of three neurological diseases. Alteration of aspartic acid residue 290 of hnRNPA2 to valine is believed to predispose patients to multisystem proteinopathy. Mutation of aspartic acid 262 of hnRNPA1 to either valine or asparagine has been linked to either amyotrophic lateral sclerosis or multisystem proteinopathy. Mutation of aspartic acid 378 of hnRNPDL to either asparagine or histidine has been associated with limb girdle muscular dystrophy. All three of these aspartic acid residues map to evolutionarily conserved regions of low-complexity (LC) sequence that may function in states of either intrinsic disorder or labile self-association. Here, we present a combination of solid-state NMR spectroscopy with segmental isotope labeling and electron microscopy on the LC domain of the hnRNPA2 protein. We show that, for both the wild-type protein and the aspartic acid 290-to-valine mutant, labile polymers are formed in which the LC domain associates into an in-register cross-β conformation. Aspartic acid 290 is shown to be charged at physiological pH and immobilized within the polymer core. Polymers of the aspartic acid 290-to-valine mutant are thermodynamically more stable than wild-type polymers. These observations give evidence that removal of destabilizing electrostatic interactions may be responsible for the increased propensity of the mutated LC domains to self-associate in disease-causing conformations.
Joint LIGO and TAMA300 search for gravitational waves from inspiralling neutron star binaries (2006)

We search for coincident gravitational wave signals from inspiralling neutron star binaries using LIGO and TAMA300 data taken during early 2003. Using a simple trigger exchange method, we perform an intercollaboration coincidence search during times when TAMA300 and only one of the LIGO sites were operational. We find no evidence of any gravitational wave signals. We place an observational upper limit on the rate of binary neutron star coalescence with component masses between 1 and $3{M}_{\ensuremath{\bigodot}}$ of 49 per year per Milky Way equivalent galaxy at a 90% confidence level. The methods developed during this search will find application in future network inspiral analyses.
Towards On-Chip, Tunable X-ray Sources based on Graphene Plasmons (2016)

Leveraging the high field confinement of graphene plasmons enables the creation of table-top and chip-scale sources of intense, monochromatic, directional and robustly tunable free-electron sources from the IR to hard X-ray regime.
Epstein‐Barr virus‐induced gene 3 negatively regulates IL‐17, IL‐22 and RORγt (2008)

Epstein-Barr virus-induced gene 3 (EBI3) associates with p28 to form IL-27 and with IL-12p35 to form IL-35. IL-27Ralpha(-/-) mice studies indicate that IL-27 negatively regulates Th17 cell differentiation. However, no EBI3, p28 or p35-deficiency studies that directly address the role of EBI3, p28 or p35 on Th17 cells have been done. Here, we demonstrate that spleen cells derived from EBI3(-/-) mice produce significantly higher levels of IL-17 as well as IL-22 upon stimulation with OVA. In vitro derived EBI3(-/-) Th17 cells also produced significantly higher levels of IL-17 and IL-22 than WT cells. The frequency of IL-17-producing cells was also elevated when EBI3(-/-) cells were cultured under Th17 conditions. In addition, spleen cells from EBI3(-/-) mice immunized with Listeria monocytogenes produced significantly elevated levels of IL-17 and IL-22. Furthermore, the Th17 transcription factor RORgamma t was significantly enhanced in EBI3(-/-) cells. Finally, EBI3(-/-) mice exhibited a reduced bacterial load following an acute challenge with L. monocytogenes or a re-challenge of previously immunized mice, suggesting that EBI3 negatively regulates both innate and adaptive immunity. Taken together, these data provide direct evidence that EBI3 negatively regulates the expression of IL-17, IL-22 and RORgamma t as well as protective immunity against L. monocytogenes.
Discovery and Optimization of Small-Molecule Ligands for V-Domain Ig Suppressor of T-Cell Activation (VISTA) (2020)

V-domain Ig suppressor of T-cell activation (VISTA) is an immune checkpoint that affects the ability of T-cells to attack tumors. A FRET-based high throughput screening identified NSC622608 as the first small-molecule ligand for VISTA. Investigation of the interaction of NSC622608 with VISTA using STD NMR and molecular modeling enabled the identification of a potential binding site in VISTA for NSC622608. Screening NSC622608 against a library of single-point VISTA mutants revealed the key residues in VISTA interacting with NSC622608. Further structural optimization resulted in a lead with submicromolar VISTA binding affinity. The lead compound blocked VISTA signaling in vitro, enhanced T-cell proliferation, and restored T-cell activation in the presence of VISTA-expressing cancer cell lines. This work would enable future development of small molecules targeting VISTA as immunomodulators and imaging probes.
Environmentally robust ASR front-end for deep neural network acoustic models (2014)

This paper examines the individual and combined impacts of various front-end approaches on the performance of deep neural network (DNN) based speech recognition systems in distant talking situations, where acoustic environmental distortion degrades the recognition performance. Training of a DNN-based acoustic model consists of generation of state alignments followed by learning the network parameters. This paper first shows that the network parameters are more sensitive to the speech quality than the alignments and thus this stage requires improvement. Then, various front-end robustness approaches to addressing this problem are categorised based on functionality. The degree to which each class of approaches impacts the performance of DNN-based acoustic models is examined experimentally. Based on the results, a front-end processing pipeline is proposed for efficiently combining different classes of approaches. Using this front-end, the combined effects of different classes of approaches are further evaluated in a single distant microphone-based meeting transcription task with both speaker independent (SI) and speaker adaptive training (SAT) set-ups. By combining multiple speech enhancement results, multiple types of features, and feature transformation, the front-end shows relative performance gains of 7.24% and 9.83% in the SI and SAT scenarios, respectively, over competitive DNN-based systems using log mel-filter bank features.
Characterization of Anisotropic Strain Relaxation after Mesa Isolation for Strained SGOI and SiGe/Si Structure with Newly Developed High-NA and Oil-Immersion Raman Method (2012)

In this study, we have characterized local strain relaxation just after mesa isolation of strained SiGe layers using the new Raman method, and NBD techniques.
Restrained behaviour of beams in steel frames exposed to fire (2013)

The current design procedures prescribed by the codes for design of steel beams at elevated temperatures require that the ultimate flexural resistance of the beam should be checked against the applied loading. This approach does not take into account the redistribution of bending moment due to fire exposure that takes place in a redundant frame. The axial and rotational restraints at the beam to column connections in such a frame play an important role as to how the beam behaves in restrained conditions when exposed to fire. This is particularly important at relatively high temperatures when the beam has undergone significant deflections and as the catenary action in the beam gradually takes over as the resisting mechanism beyond the limiting temperature prescribed by the codes.Simplified design procedures that satisfactorily describe the restrained beam behaviour should be used to avoid the high cost and complexity of finite element analysis and fire tests. A proposed simplified design procedure has been used to analyse axially and rotationally restrained beams in sub-frames in this study and the results are compared to the results from their finite element models. The finite element models of the sub-frames were validated against fire tests conducted on sub-frames. The proposed method was shown to have satisfactorily predicted the restrained beam behaviour under different load levels and temperature distributions.The validated finite element models were also used to investigate the effect of changing different parameters of the sub-frame, such as temperature distribution, boundary conditions and fire protection on the connection region. The distribution of strains in the connection components were shown to have been significantly affected by changing these parameters.
Screening for Generalized Anxiety Disorder from Acoustic and Linguistic Features of Impromptu Speech: Prediction Model Evaluation Study (Preprint) (2022)

<sec> <title>BACKGROUND</title> Frequent interaction with mental health professionals is required to screen, diagnose, and track mental health disorders. However, high costs and insufficient access can make frequent interaction difficult. The ability to assess a mental health disorder passively and at frequent intervals could be a useful complement to conventional treatment. It may be possible to passively assess clinical symptoms with high frequency by characterizing speech alterations collected through personal smartphones or other wearable devices. The association between speech features and mental health disorders could be leveraged as an objective screening tool. </sec> <sec> <title>OBJECTIVE</title> To evaluate the performance of a model that predicts the presence of Generalized Anxiety Disorder (GAD) from acoustic and linguistic features of impromptu speech. </sec> <sec> <title>METHODS</title> N = 2,000 participants were recruited and participated in a single online session. They completed the Generalized Anxiety Disorder-7 item scale (GAD-7) assessment and provided an impromptu speech sample in response to a modified version of the Trier Social Stress Test (TSST). We use linguistic and acoustic features found to be associated with anxiety disorders in previous studies, along with demographic information, to predict if participants fall above or below the screening threshold for GAD based on the GAD-7 scale threshold of 10. Separate models for each sex were also evaluated. We report the mean area under the receiver operating characteristic (AUROC) from a repeated 5-fold cross-validation to evaluate the performance of the models. </sec> <sec> <title>RESULTS</title> A logistic regression model using only acoustic and linguistic speech features achieved a significantly greater prediction accuracy than a random model (mean AUROC = 0.57, SD = 0.03, P &lt; .001). When separately assessing female samples, a mean AUROC of 0.55 (SD = 0.05, P = .01) was observed. The model constructed on the male samples achieved a mean AUROC of 0.57 (SD = 0.07, P = .002). The mean AUROC increased to 0.62 (SD = 0.03, P &lt; .001) on the all-sample dataset when demographic information (age, sex, and income) was included indicating the importance of demographics when screening for anxiety disorders. The performance also increased for the female dataset to 0.62 (SD = 0.04, P &lt; .001) when using demographic info (age and income). In both cases, age had the highest impact on the prediction performance gain. An increase in performance was not observed when adding demographic information for the model constructed on the male samples. </sec> <sec> <title>CONCLUSIONS</title> Acoustic and linguistic speech features can achieve above-random prediction accuracy for predicting GAD. Importantly, the addition of basic demographic variables further improves model performance, suggesting a role for speech and demographic information to be used as automated, objective screeners of GAD. </sec>
Tasks meet flows: Merging two paradigms in a Cloud applications development platform (2013)

In this paper we present a new architecture for the Cloud Integrator platform that extends it in two directions. The first one aimed at improving the way of an application can be defined by a developer. Instead of dealing with the burden of defining applications only by specifying semantic workflows in terms of activities expressed as a tuple <task, object>, a developer can rely on the definition of complete executions flows or partial execution flows. The second extension aimed at the automatic deployment of applications in a cloud platform, thus allowing the simultaneous use of it by several clients over the Internet. We also present a proof-of-concept that illustrates the use of the cloud-based platform in a flight booking application.
Monographie des Cicindélides = ou, Exposé méthodique et critique des tribus, genres et espèces de cette famille. Tome premier (1857)

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