gebhart/patrepeval huggingface dataset:
The Expanding Therapeutic Perspective of CCR5 Blockade (2018)

CCR5 and its interaction with chemokine ligands have been crucial for understanding and tackling HIV-1 entry into target cells. However, over time, CCR5 has witnessed an impressive transition from being considered rather unimportant in physiology and pathology to becoming central in a growing number of pathophysiological conditions. It now turns out that the massive efforts devoted to combat HIV-1 entry by interfering with CCR5, and the subsequent production of chemokine ligand variants, small chemical compounds, and other molecular entities and strategies, may set the therapeutic standards for a wealth of different pathologies. Expressed on various cell types, CCR5 plays a vital role in the inflammatory response by directing cells to sites of inflammation. Aside HIV-1, CCR5 has been implicated in other infectious diseases and non-infectious diseases such as cancer, atherosclerosis, and inflammatory bowel disease. Individuals carrying the CCR5Δ32 mutation live a normal life and are warranted a natural barrier to HIV-1 infection. Therefore, CCR5 antagonism and gene-edited knockout of the receptor gained growing interest for the therapeutic role that CCR5 blockade may play in the attenuation of the severity or progression of numerous diseases.
Systematic parameterization of lignin for the CHARMM force field (2018)

We develop a comprehensive molecular mechanics force field for lignin and evaluate its performance in terms of thermodynamics and structure with respect to experimental observables. The developed force field can be used to model lignin polymers, including their covalent linkages to carbohydrates, and their interaction with other biomolecules.
Mechanisms of Inhibition of Corrosion of Metal Reinforcements for Eco Friendly Concrete Containing a Biological Admixture (2016)

International audience
Role of dual-specificity protein phosphatase DUSP10/MKP-5 in pulmonary fibrosis (2019)

Mitogen-activated protein kinase (MAPK) phosphatase 5 (MKP-5) is a member of the dual-specificity family of protein tyrosine phosphatases that negatively regulates p38 MAPK and the JNK. MKP-5-deficient mice exhibit improved muscle repair and reduced fibrosis in an animal model of muscular dystrophy. Here, we asked whether the effects of MKP-5 on muscle fibrosis extend to other tissues. Using a bleomycin-induced model of pulmonary fibrosis, we found that MKP-5-deficient mice were protected from the development of lung fibrosis, expressed reduced levels of hydroxyproline and fibrogenic genes, and displayed marked polarization towards an M1-macrophage phenotype. We showed that the profibrogenic effects of the transforming growth factor-β1 (TGF-β1) were inhibited in MKP-5-deficient lung fibroblasts. MKP-5-deficient fibroblasts exhibited enhanced p38 MAPK activity, impaired Smad3 phosphorylation, increased Smad7 levels, and decreased expression of fibrogenic genes. Myofibroblast differentiation was attenuated in MKP-5-deficient fibroblasts. Finally, we found that MKP-5 expression was increased in idiopathic pulmonary fibrosis (IPF)-derived lung fibroblasts but not in whole IPF lungs. These data suggest that MKP-5 plays an essential role in promoting lung fibrosis. Our results couple MKP-5 with the TGF-β1 signaling machinery and imply that MKP-5 inhibition may serve as a therapeutic target for human lung fibrosis.
Vinylformylation utilizing propeniminium salts (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTVinylformylation utilizing propeniminium saltsGeorge T. Lee, John C. Amedio Jr., Russell Underwood, Kapa Prasad, and Oljan RepicCite this: J. Org. Chem. 1992, 57, 11, 3250–3252Publication Date (Print):May 1, 1992Publication History Published online1 May 2002Published inissue 1 May 1992https://pubs.acs.org/doi/10.1021/jo00037a055https://doi.org/10.1021/jo00037a055research-articleACS PublicationsRequest reuse permissionsArticle Views512Altmetric-Citations23LEARN 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
Drive Alive: Teen Seat Belt Survey Program (2010)

Objective: To increase teen seat belt use among drivers at a rural high school by implementing the Drive Alive Pilot Program (DAPP), a theory-driven intervention built on highway safety best practices.Methods: The first component of the program was 20 observational teen seat belt surveys conducted by volunteer students in a high school parking lot over a 38-month period before and after the month-long intervention. The survey results were published in the newspaper. The second component was the use of incentives, such as gift cards, to promote teen seat belt use. The third component involved disincentives, such as increased police patrol and school policies. The fourth component was a programmatic intervention that focused on education and media coverage of the DAPP program.Results: Eleven pre-intervention surveys and nine post-intervention surveys were conducted before and after the intervention. The pre- and post-intervention seat belt usage showed significant differences (p<0.0001). The average pre-intervention seat belt usage rate was 51.2%, while the average post-intervention rate was 74.5%. This represents a percentage point increase of 23.3 in seat belt use after the DAPP intervention.Conclusion: Based on seat belt observational surveys, the DAPP was effective in increasing seat belt use among rural high school teenagers. Utilizing a theory-based program that builds on existing best practices can increase the observed seat belt usage among rural high school students. [West J Emerg Med. 2010; 11(3): 280-283.]
Multiple-object input in nonlinear correlation (1993)

Multiple-object input to the recently introduced phase-extraction correlator may cause difficulties owing to interference effects. Similar effects have been observed previously in the nonlinear joint transform correlator. It is shown theoretically and by computer simulations that these effects are seldom observable in practice, and even then they can be substantially reduced by employing a proper space-variant threshold. The implementation of this scheme by a hybrid electro-optical architecture is also explained briefly and demonstrated. The results presented permit manipulation of information (spectral phase) that was previously believed to be contaminated beyond recovery.
Towards high performance packet processing for 5G (2015)

Network Functions Virtualization aims to implement networking functions in the cloud - even the ones working on the user plane. This is envisioned by decomposing today's monolithic devices into smaller functions and re-composing them real-time. This enables flexibility and independent innovation, but may come at a performance price. In this paper we investigate the performance aspects of composing user plane functions. We have developed a prototype for mobile service chaining to experiment with the function call based composition method provided by the Click modular router. The prototype allows flexible management of feature sets, including the support for relocating user chains using context transfer. We provide a thorough performance evaluation, draw conclusions and propose a versatile execution environment, which combines various composition and processing methods in order to achieve high performance packet processing for 5G networks.
Reliable real-time clinical monitoring using sensor network technology. (2009)

We propose wireless sensor networks composed of nodes using low-power 802.15.4 radios as an enabling technology for patient monitoring in general hospital wards. A key challenge for such applications is to reliably deliver sensor data from mobile patients. We propose a monitoring system with two types of nodes: patient nodes equipped with wireless pulse oximeters and relays nodes used to route data to a base station. A reliability analysis of data collection from mobile users shows that mobility leads to packet losses exceeding 30%. The majority of packet losses occur between the mobile subjects and the first-hop relays. Based on this insight we developed the Dynamic Relay Association Protocol (DRAP), an effective mechanism for discovering the right relays for patient nodes. DRAP enables highly reliable data collection from mobile subjects. Empirical evaluation showed that DRAP delivered at least 96% of data from multiple users. Our results demonstrate the feasibility of wireless sensor networks for real-time clinical monitoring.
Sulfation patterns of keratan sulfate in different macular corneal dystrophy immunophenotypes using three different probes (2008)

Macular corneal dystrophy (MCD) is subdivided into three immunophenotypes, MCD types I, IA and II, based on the reactivity of serum and corneal tissue to an antibody that recognises sulfated keratan sulfate (KS).1 In MCD type I (MCD-I), antigenic KS is undetectable in both serum and cornea, while in MCD-II it is present at normal or subnormal levels in serum, and is evident immunohistochemically in the corneal stroma. In MCD-IA, antigenic KS is absent from serum and extracellular stromal matrix, but is detected in keratocytes. Mutations of the carbohydrate sulfotransferase gene, CHST6, have been identified as causative for MCD.2 This study investigated the distribution of differentially sulfated KS in cornea in the three main MCD immunophenotypes.
EGF receptor modulates HEV entry in human hepatocytes (2023)

Taken together, our study provides novel insights into the life cycle of HEV and identified EGFR as a possible target for future antiviral strategies against HEV.
SYNTHESIS AND ANTI-HEPATITIS C VIRUS ACTIVITY OF NUCLEOSIDE DERIVATIVES OF N 3,5′-ANHYDRO-4-(β-D-RIBOFURANOSYL)-8-AZAPURIN-2-ONES (2005)

A series of N3, 5-Anhydro-4-(beta-D-ribofuranosyl)-8-azapurin-2-ones were prepared in multistep reactions from uridine as potential anti-hepatitis C virus (HCV) agents. The synthetic details as well as biological evaluations are discussed.
Obstructive Sleep Apnea Detection Using Difference in Feature and Modified Minimum Distance Classifier (2018)

The current gold standard of Obstructive Sleep Apnea (OSA) diagnosis involves the use of a Polysomnography (PSG) system which requires the patient to stay in the hospital for overnight recording. The process is uncomfortable for the patient and it disturbs the patient's sleep pattern. On the other hand, it is well known that some acoustic features of the snoring sounds are good indicators of the presence of OSA, and a variety of acoustic OSA detection algorithms have been reported in the literature. Typically, these algorithms use multiple features and a relatively complex classifier, which are not ideal for handling the huge over-night data. In this paper, we propose an algorithm that uses a single feature and a relatively simple classifier. The proposed feature is the difference between two carefully selected Mel-frequency cepstral coefficients (MFCCs) of the snoring sound samples. The proposed classifier is derived based on a modified minimum distance criterion. The proposed algorithm has been tested with patient data. The results show that the proposed algorithm outperforms existing algorithms and is able to achieve up to 97.1% detection accuracy.
IGF system targeted therapy: Therapeutic opportunities for ovarian cancer (2017)

The insulin-like growth factor (IGF) system comprises multiple growth factor receptors, including insulin-like growth factor 1 receptor (IGF-1R), insulin receptor (IR) -A and -B. These receptors are activated upon binding to their respective growth factor ligands, IGF-I, IGF-II and insulin, and play an important role in development, maintenance, progression, survival and chemotherapeutic response of ovarian cancer. In many pre-clinical studies anti-IGF-1R/IR targeted strategies proved effective in reducing growth of ovarian cancer models. In addition, anti-IGF-1R targeted strategies potentiated the efficacy of platinum based chemotherapy. Despite the vast amount of encouraging and promising pre-clinical data, anti-IGF-1R/IR targeted strategies lacked efficacy in the clinic. The question is whether targeting the IGF-1R/IR signaling pathway still holds therapeutic potential. In this review we address the complexity of the IGF-1R/IR signaling pathway, including receptor heterodimerization within and outside the IGF system and downstream signaling. Further, we discuss the implications of this complexity on current targeted strategies and indicate therapeutic opportunities for successful targeting of the IGF-1R/IR signaling pathway in ovarian cancer. Multiple-targeted approaches circumventing bidirectional receptor tyrosine kinase (RTK) compensation and prevention of system rewiring are expected to have more therapeutic potential.
tipranavir and its potential hydroxyl metabolite and the glucuronide conjugate (2008)

sis a non-peptidic protease inhibitor approved for the combination treatment with ritonavir of HIV infection. Tipranavir labeled with radioactive and stable isotopes of carbon was required for drug metabolism (excretion, distribution, and absorption) studies and to develop bioanalytical methods needed for the support of clinical studies. [7- 14 C]-Benzoic acid and uniformly labeled benzoic acid (ring- 13 C6 99at% 13 C) were used to prepare [ 14 C]- and [ 13 C6]-labeled tipranavir, respectively. Radioactively labeled tipranavir was prepared with a specific activity of 54mCi/mmol (2GBq/mmol); it was necessary to dilute its specific activity with unlabeled tipranavir to 28mCi/mmol (46.45mCi/mg) because of its instability. The N-hydroxyl metabolite (12) and the glucuronide conjugate (13), the most abundant metabolites of tipranavir (when administered in conjunction with ritonavir) were also synthesized.
Figure S1 from Paternally Expressed Gene 10 (PEG10) Promotes Growth, Invasion, and Survival of Bladder Cancer (2023)

&lt;p&gt;PEG10 associates with NE markers in bladder cancer.&lt;/p&gt;
Residual Offset in Silicon Hall-Effect Sensor: Analytical Formula, Stress Effects, and Implications for Octagonal Hall Plate Geometry (2020)

The Hall-effect magnetic sensors suffer from large offset that is described by the resistance mismatch in the Wheatstone bridge-like equivalent electrical circuit model of the Hall plate. After a first order cancellation of the raw offset using spinning current technique, a residual offset still exists, significantly limiting the accuracy of the Hall sensor in the detection of low magnetic field. In this paper we analyzed the residual offset in silicon Hall sensor using a nonlinear lumped resistor network model to derive a closed form expression. We further analyzed the residual offset in silicon Hall sensor under the influence of stress. Using these results, we show that eight-terminal, octagonal-shaped silicon Hall sensors employing eight-phase spinning current technique provide greater immunity to stress effects on residual offset due to a second order cancellation compared to the conventional four-phase spinning. The measurement results suggest superior offset performance of eight-terminal silicon Hall sensor.
CELL BIOLOGY SYMPOSIUM: Zinc finger nucleases to create custom-designed modifications in the swine (Sus scrofa) genome1,2 (2011)

Engineered zinc finger nucleases (ZFN) are rapidly gaining popularity as a means to enhance the rate and specificity of DNA modifications in plant and animal cells. Repair-mediated gene modification by ZFN is driven by introducing DNA double-strand breaks via a nonspecific nuclease domain linked to a sequence-specific zinc finger nucleotide recognition domain. This review examines the use of ZFN to produce genetically modified swine and the potential of this technology for the future. By combining conventional gene targeting methods with somatic cell nuclear transfer, several genetically modified pig models have been produced. These conventional techniques are inefficient in mammalian somatic cells and provide little control over the site specificity and rate of exogenous DNA integration. The use of engineered ZFN that bind and cleave genomic DNA at specific loci can enhance targeting efficiencies by orders of magnitude. Recent publication of the first genetic modification in pigs by combining ZFN technology with somatic cell nuclear transfer has opened the door to genome targeting with a precision that was not previously possible in a large animal model. Since that time, model pigs with selective knockout of endogenous genes have been produced. This review will examine the use of ZFN to generate these pig models and the potential of ZFN to accelerate the production of genetically modified pigs of agricultural and biomedical importance. Current methods of ZFN design, important considerations for their safe and effective use in modification of the swine genome, and future innovative applications of this technology in pigs will be discussed.
Light Emitting Materials for Organic Electronics (2008)

This paper presents the case studies on the syntheses and characterization of three third-row transition metal complexes, all of them are associated with at least one functionalized 2-pyridyl pyrazolate chelates. Each of these complexes possesses distinctive central metal atom and shows highly efficient phosphorescent emission ranging from red, green and blue of the visible spectrum. Their photophysical properties are briefly discussed, including the assignment of their fundamental absorption and emission characteristics. Finally, performance data on fabrication of phosphorescent OLEDs using these complexes as emitters are presented.
Fluorosis: A New Model and New Insights (2005)

Fluoride is an effective agent for the prevention of dental caries. However, the mechanism of how excessive fluoride exposure causes fluorosis remains uncertain. Zebrafish (Danio rerio) exhibit periodic tooth replacement throughout their lives, thereby providing continuous access to teeth at developmental stages susceptible to fluoride exposure. Zebrafish teeth do not contain true enamel, but consist of a hard enameloid surface. Therefore, we asked whether zebrafish could be used as a model organism for the study of dental fluorosis. Scanning electron microscopy of fluoride-treated teeth demonstrated that the enameloid was pitted and rough, and FTIR analysis demonstrated that the teeth also contained a significantly higher organic content when compared with untreated controls. Furthermore, we demonstrate for the first time that decreased expression of an important signaling molecule (Alk8) in tooth development may contribute to the observed fluorotic phenotype, and that increased cell apoptosis may also play a role in the mechanism of fluorosis.
Tabular: Probabilistic Inference from the Spreadsheet (2020)

Tabular is a domain-specific language for expressing probabilistic models of relational data. Tabular has several features that set it apart from other probabilistic programming languages including: (1) programs and data are stored as spreadsheet tables; (2) programs consist of probabilistic annotations on the relational schema of the data; and (3) inference returns estimations of missing values and latent columns, as well as parameters. Our primary implementation is for Microsoft Excel and relies on Infer.NET for inference. Still, the language can be called independently of Excel and can target alternative inference engines.
Inhibition of NF-kB 1 (NF-kBp50) by RNA interference in chicken macrophage HD11 cell line challenged with Salmonella enteritidis (2009)

The NF-kB pathway plays an important role in regulating the immunity response in animals. In this study, small interfering RNAs (siRNA) were used to specifically inhibit NF-kB 1 expression and to elucidate the role of NF-kB in the signal transduction pathway of the Salmonella challenge in the chicken HD11 cell line. The cells were transfected with either NF-kB 1 siRNA, glyceraldehyde 3-phosphate dehydrogenase siRNA (positive control) or the negative control siRNA for 24 h, followed by Salmonella enteritidis (SE) challenge or non-challenge for 1 h and 4 h. Eight candidate genes related to the signal pathway of SE challenge were selected to examine the effect of NF-kB 1 inhibition on their expressions by mRNA quantification. The results showed that, with a 36% inhibition of NF-kB 1 expression, gene expression of both Toll-like receptor (TLR) 4 and interleukin (IL)-6 was consistently and significantly increased at both 1 h and 4 h following SE challenge, whereas the gene expression of MyD88 and IL-1β was increased at 1 h and 4 h, respectively. These findings suggest a likely inhibitory regulation by NF-kB 1, and could lay the foundation for studying the gene network of the innate immune response of SE infection in chickens.
Measurement ofZ′couplings at future hadron colliders through decays toτleptons (1992)

The leptonic couplings of a ${Z}^{\ensuremath{'}}$ can be determined in a hadron collider by measuring the polarization of $\ensuremath{\tau}$ leptons produced by its decay. This polarization can be measured despite the unobserved neutrinos produced in $\ensuremath{\tau}$ decay. The information obtained is complementary to that given by the forward-backward asymmetry and can be used to determine the character of the ${Z}^{\ensuremath{'}}$. We discuss the background to this process, the expected uncertainty of the measurement, and the implied detector requirements.
AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer Heterogeneous Networks (2022)

&lt;p&gt; Adept network management is key for supporting extremely heterogeneous applications with stringent quality of service (QoS) requirements; this is more so when envisioning the complex and ultra-dense 6G mobile heterogeneous network (HetNet). From both the environmental and economical perspectives, non-homogeneous QoS demands obstruct the minimization of the energy footprints and operational costs of the envisioned robust networks. As such, network intelligentization is expected to play an essential role in the realization of such sophisticated aims. The fusion of artificial intelligence (AI) and mobile networks will allow for the dynamic and automatic configuration of network functionalities. Machine learning (ML), one of the backbones of AI, will be instrumental in forecasting changes in network loads and resource utilization, estimating channel conditions, optimizing network slicing, and enhancing security and encryption. However, it is well known that ML tasks themselves incur massive computational burdens and energy costs. To overcome such obstacles, we propose a novel layer-based HetNet architecture which optimally distributes tasks associated with different ML approaches across network layers and entities; such a HetNet boasts multiple access schemes as well as device-to-device (D2D) communications to enhance energy efficiency via collaborative learning and communications. &lt;/p&gt;