gebhart/patrepeval huggingface dataset:
Input amplifier current components in the electrode interface impedancimetric bacterial growth curves (1992)

The objective of this paper was to improve the control of non-bacterial initial transients in impedancimetric growth curves based en spectral impedance analysis of the culture cell-broth set. The total reactive component, Xt = 2 Xi, and the total resistive component, Rt 2 Ri + Rm, (subindices i and m refer respectively to "interface" and "medium"), were represented in an (X, R) diagram with frequency as parameter. Separation and regrouping of these cnoproente were obtained by application of War burg's Laws. Consistent transients, originating in minute direct currents from the circuitry, were found to distort the growth pattern. These results assist in the design of the overall system and clarify the road to the bacterial identification problem.
Simple Real Time Trace Nitrogen Dioxide Detector Based on Continuous-Wave Cavity Ringdown Spectroscopy Using Passively Locked External Cavity Diode Laser (2008)

We report on a compact trace nitrogen dioxide (NO2) detector based on cavity ringdown spectroscopy (CRDS), using a passively locked external cavity diode laser (PLEC-DL) in the visible wavelength region. Tailoring the spatial mode matching conditions of an antireflection (AR)-coated diode laser with a high finesse external cavity for effective optical feedback into the DL allows for stable resonant enhancement in the external cavity without any electric feedback apparatus. The external cavity having a finesse in excess of 1.4×105 acts as a ringdown cavity with an effective optical volume (i.e., detection volume) of less than 1 cm3. We successfully demonstrated a noise equivalent absorption loss of 1.4×10-8 cm-1, corresponding to a detection limit of 40 ppb NO2 concentration with a very compact configuration. For differential absorption CRDS, we realized a dual wavelength-locked PLEC-DL in an external cavity simultaneously. Measurements of various NO2 concentrations in N2 based on differential absorption CRDS were performed.
Nitrosoglutathione triggers collagen deposition in cutaneous wound repair (2005)

The presence of nitric oxide (NO) is associated with enhanced wound fibroblast collagen synthesis; previous observations have focused on the effect of NO on wound collagen content. This article emphasizes the effect of nitrosothiols on wound collagen deposition and matrix-metalloproteinase activity, which is the primary breakdown pathway of collagen. We examined the effects of S-nitrosoglutathione (GSNO) and glutathione (GSH) on rat scar tissue. Hydroxyproline content, matrix metalloproteinase activity, total glutathione, and total nitrite of scar tissue were measured 3, 5, 7, and 10 days after wounding. It was observed that, at Day 5 and Day 10, wound collagen content was 52.0 percent and 47.5 percent higher, respectively, after GSNO administration than in controls (p<0.05). GSH administration decreased wound collagen deposition 76.5 percent by Day 5 (p<0.05). GSH lowered the matrix metalloproteinase activity 67 percent at Day 5 and 50 percent (p<0.05) at Day 10. Nitrite and nitrate levels were 55 percent higher in the GSNO treated rats than in the control group (p<0.05) at Day 3, whereas the GSH-treated groups showed no changes. GSNO increased systemic nitrite 53 percent 3 hours after intraperitoneal injection. Our findings suggest that collagen deposition increases in cutaneous wound healing after the administration of GSNO and that this nitrosothiol does not interfere with the collagenolytic pathway, thus maintaining the physiological conditions necessary for wound healing.
Effect of Soy Isoflavones on Endometriosis (2007)

Dietary isoflavones may reduce the risk of endometriosis among Japanese women.
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors (1977)

The finishing time properties of several heuristic algorithms for scheduling n independent tasks on m nonidentical processors are studied. In particular, for m = 2 an n log n time-bounded algorithm is given which generates a schedule having a finishing time of at most (√5 + 1)/2 of the optimal finishing time. A simplified scheduling problem involving identical processors and restricted task sets is shown to be P-complete. However, the LPT algorithm applied to this problem yields schedules which are near optimal for large n .
An Improved Procedure for the Cr(II) Mediated Homoallylic Alcohol Synthesis (1986)

Abstract An improved procedure was developed for the coupling of allylhalides with aldehydes which utilizes CrCl2 prepared by reduction of CrCl3 with sodium amalgam.
Characteristics of Magnetic Resonance Sequences Used for Imaging Silicone Gel, Saline, and Gel-Saline Implants at Low Field Strengths (1994)

Low-field MRI permitted differentiation of silicone, water, and fat. Implant anatomy and surrounding pathology could be imaged and identified.
Time Distance: A Novel Collision Prediction and Path Planning Method (2019)

In this paper, a new fast algorithm for path planning and a collision prediction framework for two dimensional dynamically changing environments are introduced. The method is called Time Distance (TD) and benefits from the space-time space idea. First, the TD concept is defined as the time interval that must be spent in order for an object to reach another object or a location. Next, TD functions are derived as a function of location, velocity and geometry of objects. To construct the configuration-time space, TD functions in conjunction with another function named "Z-Infinity" are exploited. Finally, an explicit formula for creating the length optimal collision free path is presented. Length optimization in this formula is achieved using a function named "Route Function" which minimizes a cost function. Performance of the path planning algorithm is evaluated in simulations. Comparisons indicate that the algorithm is fast enough and capable to generate length optimal paths as the most effective methods do. Finally, as another usage of the TD functions, a collision prediction framework is presented. This framework consists of an explicit function which is a function of TD functions and calculates the TD of the vehicle with respect to all objects of the environment.
Capturing and analyzing low-level events from the code editor (2011)

In this paper, we present FLUORITE, a publicly available event logging plug-in for Eclipse which captures all of the low-level events when using the Eclipse code editor. FLUORITE captures not only what types of events occurred in the code editor, but also more detailed information such as the inserted and deleted text and the specific parameters for each command. This enables the detection of many usage patterns that could otherwise not be recognized, such as "typo correction" that requires knowing that the entered text is immediately deleted and replaced. Moreover, the snapshots of each source code file that has been opened during the session can be completely reproduced using the collected information. We also provide analysis and visualization tools which report various statistics about usage patterns, and we provide the logs in an XML format so others can write their own analyzers. FLUORITE can be used for not only evaluating existing tools, but also for discovering issues that motivate new tools.
Reactions of Phosphines with Silicas: A Solid-State NMR Study (1994)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTReactions of Phosphines with Silicas: A Solid-State NMR StudyJanet BluemelCite this: Inorg. Chem. 1994, 33, 22, 5050–5056Publication Date (Print):October 1, 1994Publication History Published online1 May 2002Published inissue 1 October 1994https://pubs.acs.org/doi/10.1021/ic00100a033https://doi.org/10.1021/ic00100a033research-articleACS PublicationsRequest reuse permissionsArticle Views777Altmetric-Citations96LEARN 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
Histone deacetylase inhibitors MS-275 and SAHA induced growth arrest and suppressed lipopolysaccharide-stimulated NF- B p65 nuclear accumulation in human rheumatoid arthritis synovial fibroblastic E11 cells (2010)

In summary, MS-275 and SAHA exhibited their anti-rheumatic activities by growth arrest in RA synovial fibroblasts, inhibition of pro-inflammatory cytokines and NO, as well as down-regulation in angiogenesis and MMPs. Their anti-rheumatic activities may be mediated through induction of p21 and suppression of NF-kappaB nuclear accumulation.
An integrated smart sensor for flow and temperature with I/sup 2/C bus interface: FTS2 (2002)

A fully integrated smart sensor for flow and temperature has been realized. The sensor is able to communicate with a simple microcontroller using an I/sup 2/C serial data bus interface. The flow rate is obtained by determining the power needed to maintain a constant temperature difference above the flow temperature. The absolute temperature is measured using a bipolar PTAT circuit and a sigma-delta A-D converter. On-chip sensor settings can be programmed by the microcontroller. All digital processing needed to measure flow and temperature is realized on the chip.
Extracting nested collocations (1996)

This paper provides an approach to the semi-automatic extraction of collocations from corpora using statistics. The growing availability of large textual corpora, and the increasing number of applications of collocation extraction, has given rise to various approaches on the topic. In this paper, we address the problem of nested collocations; that is, those being part of longer collocations. Most approaches till now, treated substrings of collocations as collocations, only if they appeared frequently enough by themselves in the corpus. These techniques left a lot of collocations unextracted. In this paper, we propose an algorithm for a semi-automatic extraction of nested uninterrupted and interrupted collocations, paying particular attention to nested collocation.
Shape memory alloys: a state of art review (2016)

Shape memory alloys (SMAs) are the special materials that have the ability to return to a predetermined shape when heated. When this alloy is in below transformation temperature it undergoes low yield strength and will deform easily into any new shape which it will retain, if this alloy is heated above its transformation temperature it changes its crystal lattice structure which returns to its real shape. SMAs are remarkably different from other materials are primarily due to shape memory effect (SME) and pseudoelasticity which are related with the specific way the phase transformation occurs, biocompatibility, high specific strength, high corrosion resistance, high wear resistance and high anti-fatigue property. SMA are used in many applications such as aerospace, medical, automobile, tubes, controllers for hot water valves in showers, petroleum industry, vibration dampers, ball bearings, sensors, actuators, miniature grippers, micro valves, pumps, landing gears, eye glass frames, Material for helicopter blades, sprinklers in fine alarm systems packaging devices for electronic materials, dental materials, etc. This paper focuses on introducing shape memory alloy and their applications in past, present and in future, also revealed the concept and mechanism of shape memory materials for a particular requirement. Properties of SMAs, behaviour and characteristics of SMA, summary of recent advances and new application opportunities are also discussed.
STRUCTURAL OPTIMIZATION USING A NEW LOCAL APPROXIMATION METHOD (1996)

A new method for solving structural optimization problems using a local function approximation algorithm is proposed. This new algorithm, called the Generalized Convex Approximation (GCA), uses the design sensitivity information from the current and previous design points to generate a sequence of convex, separable subproblems. The paper contains the derivation of the parameters associated with the approximation and the formulation of the approximated problem. Numerical results from standard test problems solved using this method are presented. It is observed that this algorithm generates local approximations which lead to faster convergence for structural optimization problems.
Variation in the composition of water-soluble polysaccharides in flaxseed. (1995)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTVariation in the composition of water-soluble polysaccharides in flaxseed.B. Dave Oomah, Edward O. Kenaschuk, Wuwei Cui, and Giuseppe MazzaCite this: J. Agric. Food Chem. 1995, 43, 6, 1484–1488Publication Date (Print):June 1, 1995Publication History Published online1 May 2002Published inissue 1 June 1995https://pubs.acs.org/doi/10.1021/jf00054a013https://doi.org/10.1021/jf00054a013research-articleACS PublicationsRequest reuse permissionsArticle Views645Altmetric-Citations87LEARN 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
Self-Consistent Modeling of Heating and MOSFET Performance in 3-D Integrated Circuits (2005)

We present a new method for finding the temperature profile of vertically stacked three-dimensional (3-D) digital integrated circuits (ICs). Using our model, we achieve spatial thermal resolution at the desired circuit level, which can be as small as a single MOSFET. To resolve heating of 3-D ICs, we solve nonisothermal device equations self-consistently with lumped heat flow equations for the entire 3-D IC. Our methodology accounts for operational variations due to technology nodes (hardware: device), chip floor plans (hardware: layout), operating speed (hardware: clock frequency), and running applications (software). To model hardware, we first decide on an appropriate device configuration. We then calculate elements of the lumped thermal network using the 3-D IC layout. To include software, chip floor plan, and duty cycle-related performance variations, we employ a statistical Monte Carlo type algorithm. In this paper, we investigate performance of vertically stacked 3-D ICs, with each layer modeled after a Pentium III. Our calculated results show that layers within the stacked 3-D ICs, especially the ones in the middle, may greatly suffer from thermal heating.
Pd/C Synthesized with Citric Acid: An Efficient Catalyst for Hydrogen Generation from Formic Acid/Sodium Formate (2012)

A highly efficient hydrogen generation from formic acid/sodium formate aqueous solution catalyzed by in situ synthesized Pd/C with citric acid has been successfully achieved at room temperature. Interestingly, the presence of citric acid during the formation and growth of the Pd nanoparticles on carbon can drastically enhance the catalytic property of the resulted Pd/C, on which the conversion and turnover frequency for decomposition of formic acid/sodium formate system can reach the highest values ever reported of 85% within 160 min and 64 mol H(2) mol(-1) catalyst h(-1), respectively, at room temperature. The present simple, low cost, but highly efficient CO-free hydrogen generation system at room temperature is believed to greatly promote the practical application of formic acid system on fuel cells.
Homeobox genes in leukemogenesis. (2000)

Considerable progress has been made in unraveling key pathogenetic steps in human leukemogenesis. In recent years, cytogenetic analyses and the molecular characterization of chromosomal breakpoints in patients with acute leukemia have proven that homeobox (HOX) genes, an evolutionarily highly conserved family of transcription factors, are critically involved in human leukemogenesis. HOX genes themselves, as well as their upstream regulators and cofactors, are implicated in the pathogenesis of leukemia, and experimental models using knock-in strategies or retrovirally induced overexpression of candidate genes have shown the leukemogenicity of homeobox genes. This review summarizes the recent advances in this field.
Phase I accelerated dose-escalation, pharmacokinetic (PK) and pharmacodynamic study of PF-03814735, an oral aurora kinase inhibitor, in patients with advanced solid tumors: Preliminary results (2008)

2517 Background: Aurora kinases are a family of kinases that play a crucial role in regulating segregation of chromosomes and have been linked to tumorigenesis. Aurora kinase A is commonly amplified in solid tumors and has been established as an oncogene. Aurora B is over-expressed in tumors and leads to defects in mitosis and increased invasiveness. PF-03814735 is a novel oral ATP-competitive, reversible inhibitor of Aurora A and B kinases with a broad spectrum of preclinical activity. Methods: This is an accelerated dose-escalation study to identify the Maximum Tolerated Dose (MTD) and Recommended Phase II Dose, and to obtain proof-of-mechanism (by assessment of pH3 inhibition in tumor biopsies and FDG-PET) with PF-03814735 administered daily for 5 or 10 consecutive days in 3-week cycles. Results: Twenty patients received a median of 2 cycles (1–4) across 7 dose levels from 5 to 100 mg/day for 5 days. Tumor types included colorectal (5), breast (3), NSCLC (4), SCLC (2), bladder, melanoma, ovarian, renal, head and neck and cancer of unknown primary (1 each). The dose was doubled in single patient cohorts until treatment-related grade 2 diarrhea occurred in one patient at 40 mg/day. Afterwards, cohorts included 3–7 patients with 20–50% dose increments per cohort. In the first 16 patients, the most common treatment-related adverse events were mild to moderate diarrhea (50%), vomiting (25%), anorexia, fatigue, and nausea (19% each). Dose-limiting febrile neutropenia was observed in 2/7 patients treated at 100mg/day. No objective response has been reported. One ovarian cancer patient has received 4 cycles at 80 mg/day. One head and neck cancer patient has received 4 cycles at 100 mg/d and continues. Serum exposure of PF-03814735 (Cmax and AUC) increased in a dose-proportional manner at all dose levels. After a single dose, the total clearance of PF-03814735 is 1195±393 mL/hr and median terminal half-life is 19.1 hr. PK of PF-3814735 is linear. Conclusions: The MTD was defined as 80 mg/day for five days. This dose level is currently being expanded to obtain proof-of-mechanism data at the recommended phase II dose. Dose escalation on the 10-day treatment schedule is occurring simultaneously. Author Disclosure Employment or Leadership Consultant or Advisory Role Stock Ownership Honoraria Research Expert Testimony Other Remuneration Pfizer Pfizer Pfizer Pfizer Pfizer
NDE Technology for Ceramic Composites (2006)

Installation of gas turbine components made of ceramic matrix composite (CMC) materials, which have limited test bed data bases, can put test engines at risk. Further, changes in properties of the materials of these components have been shown to occur with exposure. Risks to the engine can be mitigated through the application of proper nondestructive inspection methods. Further, while still under development, proper application of certain nondestructive evaluation (NDE) technologies seem likely to be able to provide data that can be correlated to retained strength or other properties of these composite materials. If sufficient data were available informed decisions could be made regarding reuse, repair or replace with appropriate NDE. Over the past fourteen years, Argonne National Laboratory (ANL), has been developing various NDE methods specifically for CMC materials. These NDE technologies include: infrared based thermal imaging, air-coupled ultrasonic approaches, high spatial resolution x-ray computed tomography and more recently optical coherence tomography and guided plate waves. This paper will review the developments of these NDE technologies and will provide results with collaboration from engine and laboratory materials tests.
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching (2016)

We present a method that consumes a large corpus of multilingual text and produces a single, unified word embedding in which the word vectors generalize across languages. In contrast to current approaches that require language identification, our method is agnostic about the languages with which the documents in the corpus are expressed, and does not rely on parallel corpora to constrain the spaces. Instead we utilize a small set of human provided word translations---which are often freely and readily available. We can encode such word translations as hard constraints in the model's objective functions; however, we find that we can more naturally constrain the space by allowing words in one language to borrow distributional statistics from context words in another language. We achieve this via a process we term artificial code-switching. As the name suggests, we induce code-switching so that words across multiple languages appear in contexts together. Not only do embedding models trained on code-switched data learn common cross-lingual structure, the common structure allows an NLP model trained in a source language to generalize to multiple target languages (achieving up to 80% of the accuracy of models trained with target-language data).