gebhart/patrepeval huggingface dataset:
Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System (2018)

Cardiovascular diseases are the most common cause of death worldwide over the last few decades in the developed as well as underdeveloped and developing countries. Early detection of cardiac diseases and continuous supervision of clinicians can reduce the mortality rate. However, accurate detection of heart diseases in all cases and consultation of a patient for 24 hours by a doctor is not available since it requires more sapience, time and expertise. In this study, a tentative design of a cloud-based heart disease prediction system had been proposed to detect impending heart disease using Machine learning techniques. For the accurate detection of the heart disease, an efficient machine learning technique should be used which had been derived from a distinctive analysis among several machine learning algorithms in a Java Based Open Access Data Mining Platform, WEKA. The proposed algorithm was validated using two widely used open-access database, where 10-fold cross-validation is applied in order to analyze the performance of heart disease detection. An accuracy level of 97.53% accuracy was found from the SVM algorithm along with sensitivity and specificity of 97.50% and 94.94%respectively. Moreover, to monitor the heart disease patient round-the-clock by his/her caretaker/doctor, a real-time patient monitoring system was developed and presented using Arduino, capable of sensing some real-time parameters such as body temperature, blood pressure, humidity, heartbeat. The developed system can transmit the recorded data to a central server which are updated every 10 seconds. As a result, the doctors can visualize the patient’s real-time sensor data by using the application and start live video streaming if instant medication is required. Another important feature of the proposed system was that as soon as any real-time parameter of the patient exceeds the threshold, the prescribed doctor is notified at once through GSM technology.
Copolymerization of ethylene with cycloolefins by titanium complexes containing tridentate [o−NSR] ligands (2008)

Abstract A family of titanium complexes of the general formula [N‐(3,5‐di‐ tert ‐butylsalicylidene)‐2‐alkylsulfanylanilinato]Ti(IV)Cl 3 5a – f was prepared from the reaction of TiCl 4 with the potassium salts of the corresponding ligands. These complexes were fully characterized by various spectroscopic techniques and elemental analyses. The molecular structures of 5b and 5e were further confirmed by single‐crystal X‐ray analyses. Complexes 5a – f (except for 5c ) exhibited good to high catalytic activities in ethylene copolymerization with cycloolefins such as norbornene, cyclopentene, dicyclopentadiene in the presence of modified methylaluminoxane. The reaction conditions and the steric hindrance of the alkyl substituents on sulfur atom in the precatalysts influenced strongly the copolymerization behaviors and the structures of the resultant copolymers. Complex 5c with bulky tert ‐butylthio sidearm showed both low catalytic activity and comonomer incorporation ratio. The n ‐alkylthio complexes 5a , 5d – f all exhibited good ethylene copolymerization capabilities with cycloolefins, which is superior to the corresponding phenylthio complex 5g . © 2008 Wiley Periodicals, Inc. JPolym Sci Part A: Polym Chem 46: 2807–2819, 2008
Evaluation of the enzyme-linked immunosorbent assay (ELISA) and other serological tests for the diagnosis of toxoplasmosis. (1980)

The enzyme-linked immunosorbent assay (ELISA) was evaluated in human toxoplasmosis in three laboratories using their own procedures. The same batch of serum samples was investigated in the three laboratories. ELISA results were compared by statistical analysis both with one another and with those of the dye test (DT), immunofluorescence (IF), complement fixation test (CFT), and indirect haemagglutination (IHA).Highly significant correlations were obtained between the three laboratories with ELISA using two different antigens and enzyme conjugates. The correlations between ELISA and the other serological tests showed the following sequence: CFT>IF>IHA>DT. Highly significant correlations were obtained between ELISA using anti-gamma-chain and anti-total immunoglobulin conjugates. The agreement in discrimination between sera with low and high antibody levels was good for all the different ELISA techniques but discrimination between positive and negative sera depended rather on the ELISA procedure used.
On the origin of the C3 framework of yeast-generated (R)-S-benzylthioglycerate (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTOn the origin of the C3 framework of yeast-generated (R)-S-benzylthioglycerateGiovanni Fronza, Claudio Fuganti, Andrea Mele, Giuseppe Pedrocchi-Fantoni, and Stefano ServiCite this: J. Org. Chem. 1992, 57, 3, 999–1002Publication Date (Print):January 1, 1992Publication History Published online1 May 2002Published inissue 1 January 1992https://pubs.acs.org/doi/10.1021/jo00029a039https://doi.org/10.1021/jo00029a039research-articleACS PublicationsRequest reuse permissionsArticle Views70Altmetric-Citations5LEARN 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
Alkylidenecarbene insertions into aromatic C–H bonds in solution (1993)

R. R. Tykwinski, J. A. Whiteford and P. J. Stang, J. Chem. Soc., Chem. Commun., 1993, 1800 DOI: 10.1039/C39930001800
Use of fiber optic sensors and recurrence quantification analysis in detecting and localizing damage in a thin steel plate (2004)

A new algorithm is presented for detecting damage in structures subject to ambient or applied excitation. The approach is derived from an attractor-based technique for detecting nonstationarity in time series data and is referred to as recurrence quantification analysis (RQA). Time series data collected from the structure are used to reconstruct the system's dynamical attractor in phase space. The practitioner then quantifies the probabilities that a given trajectory will visit local regions in this phase space. This is accomplished by forming a binary matrix consisting of all points that fall within some predefined radius of each point on the attractor. The resulting recurrence plot reflects correlations in the time series across all available time scales in a probabilistic fashion. Based on the structure found in recurrence plots a variety of metrics are extracted including: percentage of recurrence points, a measure reflecting determinism, and entropy. These "features" are then used to detect and track damage-induced changes to the structure's vibrational response. The approach is demonstrated experimentally in diagnosing the length of a crack in a thin steel plate. Structural response data are recorded from multiple locations on the plate using a novel fiber-based sensing system.
Prediction of Fatty Acid Incorporation during Enzymatic Interesterification (2020)

Abstract When a mixture of triacylglycerols and free fatty acids or fatty acid alkyl esters is treated with a random or sn‐1,3 regioselective lipase enzyme, part of these acids will be incorporated into the triacylglycerols while liberating fatty acids that were originally part of these triacylglycerols. Authors generally report the extent of incorporation and then comment on whether equilibrium had been reached and/or acyl migration has been observed. In doing so, they do not refer to articles that provide equations to be used to conclude whether equilibrium has been reached. It is the purpose of the present article to provide these equations and, by using them on literature data, show to what extent conclusions drawn by authors are correct. Besides, the availability of these equations will make it easier to interpret ongoing research on interesterification and to steer its direction in a more appropriate manner.
How Does the Choice of Anode Material Influence Electrical Performance? A Comparison of Two Microbial Fuel Cell Model Organisms (2014)

Abstract The influence of the anode material on the electrical performance of the two microbial fuel cell model organisms Geobacter sulfurreducens and Shewanella oneidensis is investigated. High‐surface‐area activated carbon and low‐surface‐area graphite felt are compared in terms of polarization curves under quasi‐steady‐state conditions. Unexpectedly, G. sulfurreducens exhibits similar current densities up to 700 μA cm −2 independent of the anode material. This is ∼50 % higher than steady‐state values reported previously. The negligible influence of electrode material on the electrical performance of G. sulfurreducens is attributed to the fact that it performs only direct electron transfer, but forms thick biofilms. In contrast, S. oneidensis , relying mainly on mediated electron transfer, apparently makes better use of high‐surface‐area activated carbon and achieves higher current densities compared to graphite felt. This underlines the importance of tailoring anode materials according to the used organisms.
Investigating the representation of heatwaves from an ensemble of km-scale regional climate simulations within CORDEX-FPS convection (2023)

Abstract Heatwaves (HWs) are high-impact phenomena stressing both societies and ecosystems. Their intensity and frequency are expected to increase in a warmer climate over many regions of the world. While these impacts can be wide-ranging, they are potentially influenced by local to regional features such as topography, land cover, and urbanization. Here, we leverage recent advances in the very high-resolution modelling required to elucidate the impacts of heatwaves at these fine scales. Further, we aim to understand how the new generation of km-scale regional climate models (RCMs) modulates the representation of heatwaves over a well-known climate change hot spot. We analyze an ensemble of 15 convection-permitting regional climate model (CPRCM, ~ 2–4 km grid spacing) simulations and their driving, convection-parameterized regional climate model (RCM, ~ 12–15 km grid spacing) simulations from the CORDEX Flagship Pilot Study on Convection. The focus is on the evaluation experiments (2000–2009) and three subdomains with a range of climatic characteristics. During HWs, and generally in the summer season, CPRCMs exhibit warmer and drier conditions than their driving RCMs. Higher maximum temperatures arise due to an altered heat flux partitioning, with daily peaks up to ~ 150 W/m 2 larger latent heat in RCMs compared to the CPRCMs. This is driven by a 5–25% lower soil moisture content in the CPRCMs, which is in turn related to longer dry spell length (up to double). It is challenging to ascertain whether these differences represent an improvement. However, a point-scale distribution-based maximum temperature evaluation, suggests that this CPRCMs warmer/drier tendency is likely more realistic compared to the RCMs, with ~ 70% of reference sites indicating an added value compared to the driving RCMs, increasing to 95% when only the distribution right tail is considered. Conversely, a CPRCMs slight detrimental effect is found according to the upscaled grid-to-grid approach over flat areas. Certainly, CPRCMs enhance dry conditions, with knock-on implications for summer season temperature overestimation. Whether this improved physical representation of HWs also has implications for future changes is under investigation.
Appendix F: An Example of an IMS Charging Application Server (2008)

This appendix contains sections titled: Rf/Ro Interface and Session Initialization Creating Rf/Ro Requests Receiving Answers Error/Timeout Handling and Debugging References
Insect-Induced Conifer Defense. White Pine Weevil and Methyl Jasmonate Induce Traumatic Resinosis, de Novo Formed Volatile Emissions, and Accumulation of Terpenoid Synthase and Putative Octadecanoid Pathway Transcripts in Sitka Spruce (2004)

Stem-boring insects and methyl jasmonate (MeJA) are thought to induce similar complex chemical and anatomical defenses in conifers. To compare insect- and MeJA-induced terpenoid responses, we analyzed traumatic oleoresin mixtures, emissions of terpenoid volatiles, and expression of terpenoid synthase (TPS) genes in Sitka spruce (Picea sitchensis) following attack by white pine weevils (Pissodes strobi) or application of MeJA. Both insects and MeJA caused traumatic resin accumulation in stems, with more accumulation induced by the weevils. Weevil-induced terpenoid emission profiles were also more complex than emissions induced by MeJA. Weevil feeding caused a rapid release of a blend of monoterpene olefins, presumably by passive evaporation of resin compounds from stem feeding sites. These compounds were not found in MeJA-induced emissions. Both weevils and MeJA caused delayed, diurnal emissions of (-)-linalool, indicating induced de novo biosynthesis of this compound. TPS transcripts strongly increased in stems upon insect attack or MeJA treatment. Time courses and intensity of induced TPS transcripts were different for monoterpene synthases, sesquiterpene synthases, and diterpene synthases. Increased levels of weevil- and MeJA-induced TPS transcripts accompanied major changes in terpenoid accumulation in stems. Induced TPS expression profiles in needles were less complex than those in stems and matched induced de novo emissions of (-)-linalool. Overall, weevils and MeJA induced similar, but not identical, terpenoid defense responses in Sitka spruce. Findings of insect- and MeJA-induced accumulation of allene oxide synthase-like and allene oxide cyclase-like transcripts are discussed in the context of traumatic resinosis and induced volatile emissions in this gymnosperm system.
Exploiting the pilot pattern orthogonality of ofdma signals for the estimation of base stations number of antennas (2013)

International audience
Periumbilical Rash in an Immunosuppressed Patient (2004)

Questions: 1. What is (are) the patient’s most striking clinical and laboratory findings? 2. How do you explain this patient’s most striking laboratory findings? 3. What is this patient’s most likely diagnosis? 4. What is the life cycle, epidemiology, and pathogenesis of the organism associated with this patient’s condition? 5. What are the clinical manifestations of this patient’s condition? 6. What is the most appropriate treatment of this patient’s condition?
Typed Architectures (2017)

Dynamic scripting languages are becoming more and more widely adopted not only for fast prototyping but also for developing production-grade applications. They provide high-productivity programming environments featuring high levels of abstraction with powerful built-in functions, automatic memory management, object-oriented programming paradigm and dynamic typing. However, their flexible, dynamic type systems easily become the source of inefficiency in terms of instruction count, memory footprint, and energy consumption. This overhead makes it challenging to deploy these high-productivity programming technologies on emerging single-board computers for IoT applications. Addressing this challenge, this paper introduces Typed Architectures, a high-efficiency, low-cost execution substrate for dynamic scripting languages, where each data variable retains high-level type information at an ISA level. Typed Architectures calculate and check the dynamic type of each variable implicitly in hardware, rather than explicitly in software, hence significantly reducing instruction count for dynamic type checking. Besides, Typed Architectures introduce polymorphic instructions (e.g., xadd), which are bound to the correct native instruction at runtime within the pipeline (e.g., add or fadd) to efficiently implement polymorphic operators. Finally, Typed Architectures provide hardware support for flexible yet efficient type tag extraction and insertion, capturing common data layout patterns of tag-value pairs. Our evaluation using a fully synthesizable RISC-V RTL design on FPGA shows that Typed Architectures achieve geomean speedups of 11.2% and 9.9% with maximum speedups of 32.6% and 43.5% for two production-grade scripting engines for JavaScript and Lua, respectively. Moreover, Typed Architectures improve the energy-delay product (EDP) by 19.3% for JavaScript and 16.5% for Lua with an area overhead of 1.6% at a 40nm technology node.
Workshop Summary: Novel Biomarkers for HIV Incidence Assay Development (2011)

Reliable methods for measuring human immunodeficiency virus (HIV) incidence are a high priority for HIV prevention. They are particularly important to assess the population-level effectiveness of new prevention strategies, to evaluate the community-wide impact of ongoing prevention programs, and to assess whether a proposed prevention trial can be performed in a timely and cost-efficient manner in a particular population and setting. New incidence assays and algorithms that are accurate, rapid, cost-efficient, and can be performed on easily-obtained specimens are urgently needed. On May 4, 2011, the Division of AIDS (DAIDS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), sponsored a 1-day workshop to examine strategies for developing new assays to distinguish recent from chronic HIV infections. Participants included leading investigators, clinicians, public health experts, industry, regulatory specialists, and other stakeholders. Immune-based parameters, markers of viral sequence diversity, and other biomarkers such as telomere length were evaluated. Emerging nanotechnology and chip-based diagnostics, including algorithms for performing diverse assays on a single platform, were also reviewed. This report summarizes the presentations, panel discussions, and the consensus reached for pursuing the development of a new generation of HIV incidence assays.
Transmission of Human Immunodeficiency Virus (HIV) by Transplantation: Clinical Aspects and Time Course Analysis of Viral Antigenemia and Antibody Production (1988)

The human immunodeficiency virus (HIV) was transmitted to a patient who received a cadaveric renal transplant from a donor who had received massive blood component replacement. A negative HIV antibody test was obtained on serum drawn immediately after transfusion. After transplantation, pretransfusion sera and sera obtained several hours after transfusion tested positive for HIV antibody, suggesting that transfusions had transiently diluted the patient's serum and resulted in a false-negative HIV antibody test. Immediately after transplantation, the recipient showed a transient increase in HIV antigen levels followed by a more sustained increase representing de-novo antigen synthesis. Antibodies to HIV were detected 51 days after transplant. The recipient has shown no signs or symptoms of HIV infection after 1 year. In potential cadaveric organ donors, HIV antibody testing should be performed on pretransfusion sera or on sera obtained several hours after massive transfusion of blood products.
Predictive biomarkers of everolimus efficacy in HER2+ advanced breast cancer: Combined exploratory analysis from BOLERO-1 and BOLERO-3. (2015)

512 Background: Two phase 3 trials BOLERO-1 and BOLERO-3 evaluated the addition of everolimus (EVE) to trastuzumab (TRAS) + chemotherapy in HER2+ advanced breast cancer (ABC). In BOL-3, heavily pretreated patients (pts) derived a statistically significant benefit from EVE, while BOL-1 (first-line EVE) did not meet the primary endpoints. This analysis aimed to identify biomarkers predictive of EVE efficacy using data from both trials. Methods: Exons of 282 cancer related genes were analyzed by next generation sequencing (NGS). PTEN levels were determined by IHC. Hyperactive PI3K pathway was defined as pts with low PTEN or known PIK3CA or AKT1 E17K mutation (narrow def) or mutation in any member of the PI3K/Akt/mTOR pathway (broad def). Correlations between biomarkers and PFS were evaluated by uni- and multi-variate Cox models. Results: Five hundred and sixty-one archival tumor samples (BOL-1 302; BOL-3 259) were successfully analyzed. PI3K pathway gene alterations were seen in ~45% of samples. A trend of greater benefit from EVE was observed in pts with PI3K pathway activation (individual trials). In a combined analysis from both trials, pts with PIK3CA mutations (HR = 0.69) or low PTEN (HR = 0.5) derived more benefit from EVE. A robust positive correlation between PI3K hyperactivity and PFS benefit was observed using both narrow def (HR = 0.67 vs normal PI3K activity HR = 1.2) and broad def (HR = 0.61 vs normal PI3K activity HR = 1.38). In a multivariate analysis, interaction between PI3K status and treatment effect was statistically significant (p = 0.016). Conclusions: This exploratory analysis suggests that pts with hyperactive PI3K signaling pathway derive greater benefit from adding EVE to TRAS + chemotherapy in HER2+ ABC. Clinical trial information: NCT00876395, NCT01007942. Tx BOL-1 BOL-3 n/N* Median PFS (mo) HR n/N* Median PFS (mo) HR PIK3CA Wild type PBO 31/48 17.1 1.13 66/82 6.6 1.04 EVE 51/89 18.5 58/77 6.8 Mutant PBO 17/19 7.6 0.70 37/42 5.7 0.67 EVE 30/39 12.0 28/29 6.9 PTEN Normal PBO 53/90 13.8 1.02 93/110 6.7 1.03 EVE 87/163 16.1 84/107 6.8 Low PBO 12/18 16.8 0.56 12/15 5.5 0.49 EVE 17/31 23.5 13/15 9.5 PI3K pathway Normal PBO 26/41 17.1 1.18 57/70 6.97 1.15 EVE 40/72 18.2 49/67 6.83 Hyperactive PBO 27/35 10.9 0.72 46/54 5.59 0.63 EVE 44/66 13.9 39/42 6.93 *n = no. of events; N = no. of pts.
DYEING NYLON WITH NATURAL DYES (1999)

Natural colors have attracted the attention of the entire world, because of their non-hazardous nature. In the present study, nylon fabric was dyed with three natural dyes derived from Onion (Allium cepa), Lac (Laccifer Lacca) and Turmeric (Curcuma longa) using various mordants by two different techniques (viz. open bath and HTHP dyeing methods). HTHP dyeing has been found to give better results as compared to the open bath dyeing. Good washfastness (4) was obtained with all three natural dyes. Comparative higher ratings (4-5) for lightfastness were achieved in the case of Onion and Lac, as compared to that of Turmeric (3-4). Table I: Effect of mordants on CIELAB values and fastness properties for dyeing c h. T T T p -