gebhart/patrepeval huggingface dataset:
Improved Insulin Secretion of Cryopreserved Human Islets by Antioxidant Treatment (1996)

The viability of islets of Langerhans prior to grafting is believed to influence the clinical outcome of islet transplantation. To determine whether oxidative stress occurs during the isolation-purification procedure as well as during tissue culture and cryopreservation, we have measured the glutathione redox state (GSH/GSSG) of islets. Human islets were purified by standard techniques from organ donors, cultured, and cryopreserved. Glucose-induced insulin release was monitored in parallel during static incubations to assess the function of the islets. Cultured human islets responded by a 2.2-fold increase in insulin release to a glucose challenge. After cryopreservation the hormonal response was lower. Immediately after islet isolation the GSH/GSSG ratio was 25.2 +/- 5.2, and it increased slightly to 32.0 +/- 6.1 after 1-3 days in tissue culture. The GSH/GSSG decreased significantly after cryopreservation to 12.2 +/- 3.4, suggesting that the freezing and thawing procedures imposed oxidative stress on the islets. To explore this hypothesis further, cryopreserved islets were treated with the antioxidant butylated hydroxyanisole (BHA). Islets exposed to BHA showed an improved glucose-induced insulin release and had an increased insulin content. BHA also protected the islets when they were exposed to alloxan, a free radical generating agent. However, after cryopreservation, BHA treatment did not modify the glutathione redox state. Although the BHA effect could not be explained merely by a change in the glutathione redox state, it is not precluded that redox changes of other cell components ameliorate the glucose sensitivity of the beta cells. Further studies will be needed to determine possible ways of improving islet cryopreservation with antioxidant treatments and particularly, to validate the present observations by in vivo experiments in the context of clinical islet transplantation.
Artificial Neural Networks for Fiber Nonlinear Noise Estimation (2017)

OSNR monitoring techniques are reviewed and a use of machine learning to estimate the nonlinear noise and thereby monitor the OSNR is described. High monitoring accuracy is demonstrated for a wide range of link conditions using an artificial neural network.
Human-Robot Interaction (2004)

The relationship between robots and humans is so different in character from other human-machine relationships that it warrants its own field of study. Robots differ from simple machines and even from complex computers in that they are often designed to be mobile and autonomous. They are not as predictable as other machines; they can enter a human’s personal space, forcing a kind of social interaction that does not happen in other human-machine relationships.
AraC-XylS database: a family of positive transcriptional regulators in bacteria (2002)

The AraC-XylS database contains information about a family of positive transcriptional regulators broadly distributed in bacteria. This specific database focuses on protein sequences and on the biological and functional features of each of the proteins that belong to this family. Each entry provides information on the protein itself, the annotated protein sequence and, when the crystal is available, a comprehensive representation of its three-dimensional structure. The organization of the database is based on an exhaustive analysis of the scientific literature. The data are interconnected and linked with other databases. Multiple alignments of the members of the family, an extensive collection of references and a tutorial about the family provide additional information. The AraC-XylS database is accessible on the World Wide Web at http://www.AraC-XylS.org.
Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions (2021)

The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast communication protocols, and efficient cybersecurity mechanisms to improve industrial processes and applications. In large industrial networks, smart devices generate large amounts of data, and thus IIoT frameworks require intelligent, robust techniques for big data analysis. Artificial intelligence (AI) and deep learning (DL) techniques produce promising results in IIoT networks due to their intelligent learning and processing capabilities. This survey article assesses the potential of DL in IIoT applications and presents a brief architecture of IIoT with key enabling technologies. Several well-known DL algorithms are then discussed along with their theoretical backgrounds and several software and hardware frameworks for DL implementations. Potential deployments of DL techniques in IIoT applications are briefly discussed. Finally, this survey highlights significant challenges and future directions for future research endeavors.
Handbook of research on multi-agent systems semantics and dynamics of organizational models (2009)

"This book provide a comprehensive view of current developments in agent organizations as a paradigm for both the modeling of human organizations, and for designing effective artificial organizations"--Provided by publisher
Exception Handling in Coordination-Based Mobile Environments (2006)

Mobile agent systems have many attractive features including asynchrony, openness, dynamicity and anonymity, which makes them indispensable in designing complex modern applications that involve moving devices, human participants and software. To be comprehensive this list should include fault tolerance, yet as our analysis shows, this property is, unfortunately, often overlooked by middleware designers. A few existing solutions for fault tolerant mobile agents are developed mainly for tolerating hardware faults without providing any general support for application-specific recovery. In this paper we describe a novel exception handling model that allows application-specific recovery in coordination-based systems consisting of mobile agents. The proposed mechanism is general enough to be used in both loosely-and tightly-coupled communication models. The general ideas behind the mechanism are applied in the context of the Lime middleware.
203 (2012)

Introduction: Fibroproliferative diseases of the heart & lungs are a leading cause of morbidity and mortality. Currently there are no approved anti-fibrotic agents that directly target the mechanism of fibrosis. Pre-clinical studies have demonstrated protective role of Angiotensin-converting enzyme2 (ACE2) in tissue fibrosis and apoptosis. Hypothesis: ACE2 activation by a small molecule, Diminazene aceturate (DIZE) exerts antifibrotic actions in a rodent model of pulmonary fibrosis (PF). Methods: PF was induced by intratracheal instillation of bleomycin (5U/Kg) in 8 week old male SD rats. Rats were randomized into three groups: control, bleomycin and bleomycin+DIZE. DIZE (15 mg/Kg, sc) was administered along with bleomycin. After 14 days, rats were instrumented to measure right ventricular systolic pressure (RVSP), followed by heart and lung excision to examine cardiopulmonary remodeling and apoptosis. Results: Bleomycin resulted in a 57% elevation of RVSP (control: 26+1mmHg; bleomycin: 41+2mmHg; p<0.05), signifying development of pulmonary hypertension. In addition, these animals exhibited maladaptive cardiac remodeling in terms of increased myocardial fibrosis (%Fibrosis: control: 6+0.23; bleomycin: 17+0.3; p<0.05) and right ventricular hypertrophy (RVH: control: 0.26+0.007; bleomycin: 0.40+0.03; p<0.05). Co-administration of DIZE significantly attenuated all these parameters (RVSP; 32+0.5mmHg(? by 22%); RVH; 0.30+0.01(? by 25%) and %Fibrosis; 7.2+0.6(? by 58%)). A higher Ashcroft score was observed in the bleomycin group signifying development of PF, which was decreased by DIZE treatment (control: 1.2+0.09; bleomycin: 6.5+0.06; bleomycin+DIZE: 2.8+0.03; p<0.05). The protective effects of DIZE were associated with favorable modulation of the pulmonary renin angiotensin system and decreased pro-inflammatory cytokines. Increased TUNEL staining for apoptosis was observed in the lung sections of bleomycin group, which was reduced by DIZE (TUNEL positive index; control: 0.03+0.005; bleomycin:0.2+0.04; bleomycin+DIZE: 0.07+0.003; p<0.05). Conclusions: DIZE, an ACE2 activator attenuates bleomycin-induced lung fibrosis and associated cardiac remodeling, indicating its therapeutic potential as an anti-fibrotic agent.
Interpolator for numerically controlled machine tools (2023)

A digital differential analyzer circuit is provided that depending on the embodiment chosen can carry out linear, parabolic, circular or cubic interpolation. In the embodiment for parabolic interpolations, the circuit provides pulse trains for the X and Y slide motors of a two-axis machine to effect tool motion along a parabolic path. The pulse trains are generated by the circuit in such a way that parabolic tool motion is obtained from information contained in only one block of binary input data. A part contour may be approximated by one or more parabolic arcs. Acceleration and initial velocity values from a data block are set in fixed bit size registers for each axis separately but simultaneously and the values are integrated to obtain the movement along the respective axis as a function of time. Integration is performed by continual addition at a specified rate of an integrand value stored in one register to the remainder temporarily stored in another identical size register. Overflows from the addition process are indicative of the integral. The overflow output pulses from the second integration may be applied to motors which position the respective machine slides according to a parabolic motion in time to produce a parabolic machine tool motion in space. An additional register for each axis is provided in the circuit to allow "floating" of the radix points of the integrand registers and the velocity increment to improve position accuracy and to reduce errors encountered when the acceleration integrand magnitudes are small when compared to the velocity integrands. A divider circuit is provided in the output of the circuit to smooth the output pulse spacing and prevent motor stall, because the overflow pulses produced in the binary addition process are spaced unevenly in time. The divider has the effect of passing only every nth motor drive pulse, with n being specifiable. The circuit inputs (integrands, rates, etc.) are scaled to give exactly n times the desired number of pulses out, in order to compensate for the divider.
Structure‐property relationships of LLDPE—highly filled with aluminum hydroxide (2002)

Abstract The mechanical performance, rheological behavior, and phase morphology of linear low‐density polyethylene (LLDPE) highly loaded with aluminum hydroxide [Al(OH) 3 ] were investigated. It was found that titanate surface‐active agent and ethylene‐vinyl acetate copolymer (EVA) improve the processing and ductile properties of the composite remarkably but are accompanied by the deterioration of the tensile strength. Addition of vinyl triethoxy silane (VTEO) and dicumyl peroxide (DCP) improves the tensile strength of the composite because of the silane crosslinking structure introduced. A synergistic effect of interface modifying and silane crosslinking method in improving mechanical performance of the composite is presented. Phase morphology of the LLDPE/Al(OH) 3 composites was studied by means of scanning electron microscopy (SEM) technique. SEM micrographs indicate that a core‐shell type with Al(OH) 3 as a core and EVA as a shell is formed in the composite. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 85: 2485–2490, 2002
Paper-based molecular diagnostic for Chlamydia trachomatis (2014)

Herein we show the development of a minimally instrumented paper-based molecular diagnostic for point of care detection of sexually transmitted infections caused by <i>Chlamydia trachomatis</i>. This new diagnostic platform incorporates cell lysis, isothermal nucleic acid amplification, and lateral flow visual detection using only a pressure source and heat block, eliminating the need for expensive laboratory equipment. This paper-based test can be performed in less than one hour and has a clinically relevant limit of detection that is 100x more sensitive than current rapid immunoassays used for chlamydia diagnosis.
NASAL IRRIGATION IN THE CONTROL OF NASAL SYMPTOMS IN PEDIATRICS - SYSTEMATIC REVIEW OF THE LITERATURE - (2022)

Background: Nasal irrigation is a non-pharmacological measure used to relieve nasal symptoms, but it is not fully accepted by caregivers who have doubts since some aspects of the procedure are not clear, and there is no consensus on a uniform protocol. Objective: To understand the effect of different nasal irrigation methods on the relief of nasal symptoms in children. Methodology: Systematic Literature Review aiming to answer the question "What is the effect of different methods of nasal irrigation in the relief of nasal symptoms in pediatrics?". The research was carried out in August 2021, using b-On and EBSCO database aggregators. Inclusion and exclusion criteria were applied, selecting 4 articles for analysis. Results: Scientific studies point to greater effectiveness of hypertonic saline solutions in nasal clearance, but isotonic saline solution proved to be more effective in increasing peripheral oxygen saturation. Positive pressure devices show greater effectiveness. There is no direct relationship between the contamination of the solution and the occurrence of infectious processes. Conclusions: Nasal irrigation is a safe and effective procedure for relieving nasal symptoms, reducing drug consumption and preventing complications, regardless of the technique and solution used. The use of a positive pressure device has been shown to be more effective. The use of saline and hypertonic saline solutions both proved to be advantageous, and it was not possible to determine the ideal solution. Implications: It is urgent to train health professionals and caregivers to perform the technique. Scientific studies are needed to support solutions that enhance the benefits of the technique. Reference documents in the area of Pediatrics would serve to standardize the provision of care, increase the effectiveness of the procedure and convey confidence to caregivers, enabling them to perform it.
<title>Electromagnetic location system for trapped miners</title> (1999)

Electromagnetic signals in the very low frequency range (VLF, below 10 kHz) can penetrate rock sufficiently far for miner's location with nearly no distribution of the field structure, if the near field condition is fulfilled. The relevant solutions of the Maxwell's equations for a magnetic dipole (transmitting antenna to be carried by the miner) in a dissipative medium then are independent of the medium. From these equations the magnetic field strength in any point of reception can be calculated. The key for the location method is the inverse distance function (locus curve), describing the possible location of the dipole from the measured field strength and direction in a point of reception (performed by the rescue team). At least two of these measurements give locus curves intersecting in two points, the correct solution can be found by means of an additional direction information calculated in the points of interest. A system has been built and successfully tested with miner's transmitters which can be activated by a coded signal on the rescue team, a receiver device measuring the field amplitude and field direction and a software package to calculate the miner's location on a notebook directly in the mine.
LabVIEW signal processing (1998)

Background signal generation signal processing control systems windowing measurement VIs digital filtering curve fitting linear algebra probability and statistics digital filter design toolkit G math toolkit.
A-ring iodination of estradiol (1979)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTA-ring iodination of estradiolFrederick Sweet, Timothy B. Patrick, and Jackquline M. MuddCite this: J. Org. Chem. 1979, 44, 13, 2296–2298Publication Date (Print):June 1, 1979Publication History Published online1 May 2002Published inissue 1 June 1979https://pubs.acs.org/doi/10.1021/jo01327a061https://doi.org/10.1021/jo01327a061research-articleACS PublicationsRequest reuse permissionsArticle Views105Altmetric-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
An accurate and straightforward approach to line regression analysis of error-affected experimental data (1989)

The line regression problem, when both variables are subjected to errors, is re-examined and solved with a straightforward analytical approach that uses the minimisation of the shortest distance between each experimental point and the theoretical line. It is found, without any approximation or updating of parameters and variables but on the basis of error propagation law only, to be possible to obtain exact results by means of a simple procedure which is suitable for programmable calculators. Using a more appropriate expression for weighting the observations, the effective variance algorithm is directly shown.
Temperature behavior of the voltage swings and the static noise margins of ISL and STL (1982)

The voltage swing and the low-current-level static groundline voltage noise margins of integrated Schottky logic (ISL) Schottky transistor logic (STL) as a function of temperature and fan-out, are derived analytically for gates with and without an internal pull-up current. At high voltage levels where series resistances play an important role, the voltage swings and noise margins are obtained by computer simulations. Depending on the current per gate, it appears that STL can have better noise margins than ISL at high temperature when their logic swings are equal at room temperature and when no pull-up currents are applied. With pull-up currents, this difference decreases dramatically and reasonable noise margins at high fan-outs can be obtained over a large temperature range. The analytical calculations and computer simulations are verified by measurements.
The Short-Run Effects of Time-Varying Prices in Competitive Electricity Markets (2006)

We analyze the efficiency, distributional, and environmental effects of real-time pricing (RTP) adoption in the short run. Consistent with theory, our simulations of the PJM electricity market show that RTP adoption improves efficiency and compresses the distributions of loads and prices. Adoption increases average load but decreases operating profits with the largest decrease for oil-fired generation (59% when all customers adopt). Consumer surplus and welfare gains are modest (2.5% and 0.24% of the energy bill), and emissions of SO2 and NOx increase but CO2 emissions decrease. Approximately 30% of these efficiency gains could be captured by varying flat rates monthly instead of annually. Monthly flat rate adjustment has many of the same effects as RTP adoption, captures more of the deadweight loss than time of use (TOU) rates, and requires no new metering technology.
Advanced surface cleanness evaluation technique using epitaxial silicon germanium (SiGe) process beyond 32nm node (2007)

Epitaxial growth process strongly depends on the substrate surface cleanliness. In this study, advanced surface cleanness evaluation techniques for 32nm node and beyond such as light point defects (LPDs) and haze measurements are studied using epitaxial silicon germanium (SiGe) process on 300mm wafers. Small water marks formed during wafer drying can be detected as small LPDs just after pre-cleaning. These water marks inhibit SiGe growth during the epitaxial process. In addition, SiGe film LPDs increase drastically with increasing queue time between pre-cleaning process and SiGe CVD process. Finally, SURFimage haze measurement is shown to be a powerful advanced technique to monitor the localized “abnormal growth defects” and the surface morphology of the SiGe CVD film over the full wafer surface.
Feature-reduction fuzzy co-clustering algorithm for hyperspectral image segmentation (2017)

The fuzzy co-clustering algorithms are considered as effective technique for clustering the complex data, such as high-dimensional and large size. In general, features of data objects are considered the same importance. However, in reality, the features have different roles in data analyses; even some of them are considered redundancy in the individual case for data sets. Removing these features is a way for the dimensionality reduction, which needs to improve the performance of data processing algorithms. In this paper, we proposed an improved fuzzy co-clustering algorithm called feature-reduction fuzzy co-clustering (FRFCoC), which can automatically calculate the weight of features and put them out of the data processing. We considered the objective function of the FCoC algorithm with feature-weighted entropy and build a learning procedure for components of the objective function, then reducing the dimension of data by eliminating irrelevant features with small weights. Experiments were conducted on synthetic data sets and hyperspectral image using the robust assessment indexes. Experimental results demonstrated the proposed algorithm outperformed the previous algorithms.
Synthesis of Chondroitin Sulfate E Hexasaccharide in the Repeating Region by an Effective Elongation Strategy toward Longer Chondroitin Oligosaccharide (2004)

We synthesized chondroitin and its sulfate E hexasaccharides (1 and 2) composed of the trimer of the repeating disaccharide, beta-D-GalNAc(+/-4,6-di-O-SO(3)Na)-(1-->4)-beta-D-GlcA, by employing an efficient synthetic strategy for longer chondroitin oligosaccharide. Successful elongation with the beta-D-GalNAc-(1-->4)-beta-D-GlcA unit instead of the corresponding disaccharide possessing an azide group avoided problematic reduction of the multiple azide groups on the hexasaccharide.