gebhart/patrepeval huggingface dataset:
Sodium Valproate in the Management of Painful Neuropathy in Type 2 Diabetes – a Randomized Placebo Controlled Study (2003)

OBJECTIVE: To study the effectiveness and safety aspects of sodium valproate in the management of painful neuropathy in patients of type 2 diabetes mellitus. MATERIAL AND METHODS: A randomized double‐blind placebo controlled trial of sodium valproate was done in type 2 diabetic patients to assess its efficacy and safety in the management of painful neuropathy. We screened 60 patients but eight patients could not complete the study; hence, the present study was done on 52 patients. Each patient was assessed by clinical examination, pain score by short form of the McGill pain questionnaire (SF‐MPQ) and electrophysiological examination, which included motor and sensory nerve conduction velocity, amplitude and H‐reflex initially and at the end of 1 month of treatment. RESULTS: Significant improvement was noticed in the pain score of patients receiving sodium valproate in comparison to patients receiving placebo at the end of 1 month (P < 0.05). The changes in electrophysiological data were not significant. The drug was well tolerated by all patients except one who developed a raised aspartate transaminase (AST)/alanine transaminase (ALT) level after 15 days of treatment. CONCLUSION: Sodium valproate is a well‐tolerated drug and provides significant subjective improvement in painful diabetic neuropathy. These data provide a basis for future trials of longer duration in a larger group of patients.
Deep Learning–based Eco-driving System for Battery Electric Vehicles (2019)

Author(s): Wu, Guoyuan; Ye, Fei; Hao, Peng; Esaid, Danial; Boriboonsomsin, Kanok; Barth, Matthew J. | Abstract: Eco-driving strategies based on connected and automated vehicles (CAV) technology, such as Eco-Approach and Departure (EAD), have attracted significant worldwide interest due to their potential to save energy and reduce tail-pipe emissions. In this project, the research team developed and tested a deep learning–based trajectory-planning algorithm (DLTPA) for EAD. The DLTPA has two processes: offline (training) and online (implementation), and it is composed of two major modules: 1) a solution feasibility checker that identifies whether there is a feasible trajectory subject to all the system constraints, e.g., maximum acceleration or deceleration; and 2) a regressor to predict the speed of the next time-step. Preliminary simulation with microscopic traffic modeling software PTV VISSIM showed that the proposed DLTPA can achieve the optimal solution in terms of energy savings and a greater balance of energy savings vs. computational efforts when compared to the baseline scenarios where no EAD is implemented and the optimal solution (in terms of energy savings) is provided by a graph-based trajectory planning algorithm.View the NCST Project Webpage
Nanostructured Metal Hydrides for Hydrogen Storage (2018)

Knowledge and foundational understanding of phenomena associated with the behavior of materials at the nanoscale is one of the key scientific challenges toward a sustainable energy future. Size reduction from bulk to the nanoscale leads to a variety of exciting and anomalous phenomena due to enhanced surface-to-volume ratio, reduced transport length, and tunable nanointerfaces. Nanostructured metal hydrides are an important class of materials with significant potential for energy storage applications. Hydrogen storage in nanoscale metal hydrides has been recognized as a potentially transformative technology, and the field is now growing steadily due to the ability to tune the material properties more independently and drastically compared to those of their bulk counterparts. The numerous advantages of nanostructured metal hydrides compared to bulk include improved reversibility, altered heats of hydrogen absorption/desorption, nanointerfacial reaction pathways with faster rates, and new surface states capable of activating chemical bonds. This review aims to summarize the progress to date in the area of nanostructured metal hydrides and intends to understand and explain the underpinnings of the innovative concepts and strategies developed over the past decade to tune the thermodynamics and kinetics of hydrogen storage reactions. These recent achievements have the potential to propel further the prospects of tuning the hydride properties at nanoscale, with several promising directions and strategies that could lead to the next generation of solid-state materials for hydrogen storage applications.
New Method to Characterize Magnetic Hysteresis in Soft Ferrites Up to High Frequencies (2006)

Characterization of magnetic cores is an indispensable task in order to securely accomplish the requirements of a power electronic design and prevent failures. The hysteresis cycle of the material is one of the more complex features to characterize due to the well-known nonlinear and memory effects; moreover, there is a less known but noticeable dependence of the B-H relationship with time. This curve is easily obtained at low frequencies (up to 10 kHz) by means of a well-known traditional method. However, there is a major obstacle when trying to operate at higher frequencies in this manner due to the cost and difficulty of operation of high-frequency-high-voltage generators. In this paper, a new method for measuring hysteresis based on a quasi-sinusoidal generator that allows us to reach much higher values in frequency with a simple setup is presented.
A fully automated method for the alignment of x-ray stress-goniometers (1988)

A method is proposed to align any goniometer for which the specimen and the detector can move independently. Originally the method was developed for a stress-goniometer, but it can also be used for other goniometers. The method consists of an algorithm that calculates the misalignment from the peak positions of the diffraction X-ray beam measured on a metal powder specimen, rotated in several positions (2θ—ψ curves). The algorithm then indicates quantitatively how much the different parts of the apparatus must be adjusted. Only numerical calculations are used and there is no need for special instruments. The algorithm can be easily written into a computer program and makes the alignment a fast and extremely accurate operation.
Expanding Role of T Cells in Human Autoimmune Diseases of the Central Nervous System (2017)

It is being increasingly recognized that a dysregulation of the immune system plays a vital role in neurological disorders and shapes the treatment of the disease. Aberrant T cell responses, in particular, are key in driving autoimmunity and have been traditionally associated with multiple sclerosis. Yet, it is evident that there are other neurological diseases in which autoreactive T cells have an active role in pathogenesis. In this review, we report on the recent progress in profiling and assessing the functionality of autoreactive T cells in central nervous system (CNS) autoimmune disorders that are currently postulated to be primarily T cell driven. We also explore the autoreactive T cell response in a recently emerging group of syndromes characterized by autoantibodies against neuronal cell-surface proteins. Common methodology implemented in T cell biology is further considered as it is an important determinant in their detection and characterization. An improved understanding of the contribution of autoreactive T cells expands our knowledge of the autoimmune response in CNS disorders and can offer novel methods of therapeutic intervention.
A physically faithful multigrid method for fast cloth simulation (2008)

Abstract We present an efficient multigrid algorithm that is adequate to solve a heavy linear system given in cloth simulation. Although a multigrid solver has been successfully employed to the Poisson problems, it is hard to apply the solver to complicated cloth deformations due to its lack of physical meaning in level construction. We address this problem by developing a physically faithful technique ensuring the conservation of all physical quantities across levels. The performance of our approach is demonstrated on a number of garment simulations implemented by the state of the art techniques: the implicit integration, the triangle‐based in‐plane energy model, and the curvature‐based bending energy model. Our multigrid algorithm is about four times faster than the preconditioned Conjugate Gradient method for a garment with 20K particles. Copyright © 2008 John Wiley & Sons, Ltd.
<b>Filter-Protected Carotid Stenting Via a Minimal Cervical Access With Transitory Aspirated Reversed Flow During Initial Passage of the Target Lesion</b> (2006)

Our preliminary observations from this small early experience suggest that this variant CAS technique is feasible and probably diminishes the neuroembolic risk during initial navigation of the ICA target stenosis.
Detoxication mechanisms. II. Iron-catalyzed dealkylation of trimethylamine oxide (1967)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDetoxication mechanisms. II. Iron-catalyzed dealkylation of trimethylamine oxideJames P. Ferris, Roderick D. Gerwe, and George R. GapskiCite this: J. Am. Chem. Soc. 1967, 89, 20, 5270–5275Publication Date (Print):September 1, 1967Publication History Published online1 May 2002Published inissue 1 September 1967https://pubs.acs.org/doi/10.1021/ja00996a033https://doi.org/10.1021/ja00996a033research-articleACS PublicationsRequest reuse permissionsArticle Views486Altmetric-Citations50LEARN 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
Ba[Si(OCH<sub>2</sub>CH<sub>2</sub>O)<sub>3</sub>], a Hexaalkoxysilicate Synthesized from SiO<sub>2</sub> (1993)

The reaction of BaO, SiO 2 , and an excess of ethylene glycol provides [Ba‐Si(OCH 2 CH 2 O) 3 ] · 3.25 HO(CH 2 ) 2 OH, the first amazingly stable hexaalkylsilicate, in 90% yield. This complex was characterized by X‐ray crystallography. The reactions with MgO and CaO give analogous compounds; with alkali metal oxides pentacoordinate silicates are formed.
Subsonic Reynolds Number Effects on a Diamond Wing Configuration (Invited) (2001)

ABSTRACT cbarAn advanced diamond-wing configuration was crtested at low speeds in the National Transonic c,Facility (NTF) in air at chord Reynolds numbers Kpfrom 4.4 million (typical wind-tunnel conditions) to Kv24 million (nominal flight value). Extensive Ko, 2variations on high-lift rigging were explored as part L_of a broad multinational program. The analysis for Ithis study is focused on the cruise and landing Msettings of the wing high-lift systems. Three flow P,domains were identified from the data and provide Rna context for the ensuing data analysis. Reynolds Rn cnumber effects were examined in incremental form S/2based upon attached-flow theory. A similar TNFAapproach showed very little effect of low-speedcompressibility.ARb/2CD Do CL L0 Cm NOMENCLATUREwing aspect ratio, 2.2001wing semispan, 2.6927 ft.drag coefficientzero-lift drag coefficient, planar winglift coefficientlift coefficient at oc= 0°pitching moment coefficient about0.25cbar Senior Research Engineer, Subsonic Aerodynamics Branch,Associate Fellow, AIAAtAerodynamicist, Aeromechanics Division, Senior Member,AIAACopyright © 2001 by the American Institute of Aeronauticsand Astronautics, Inc. No copyright is asserted in the UnitedStates under Title 17, U. S. Code. The U. S. Government hasa royalty-free license to exercise all rights under the copyrightclaimed herein for Governmental Purposes. All other rights arereserved by the copyright owner.
Impact Analysis by Mining Software and Change Request Repositories (2005)

Impact analysis is the identification of the work products affected by a proposed change request, either a bug fix or a new feature request. In many open-source projects, such as KDE, Gnome, Mozilla, Openoffice, change requests, and related data, are stored in a bug tracking system such as Bugzilla. These data, together with the data stored in a versioning system, such as CVS, are a valuable source of information on which useful analyses can be performed. In this paper we propose a method to derive the set of source files impacted by a proposed change request. The method exploits information retrieval algorithms to link the change request description and the set of historical source file revisions impacted by similar past change requests. The method is evaluated by applying it on four open-source projects
Early detection of critical pulmonary shunts in infants (2015)

This paper aims to improve the design of modern Medical Cyber Physical Systems through the addition of supplemental noninvasive monitors. Specifically, we focus on monitoring the arterial blood oxygen content (CaO2), one of the most closely observed vital signs in operating rooms, currently measured by a proxy -- peripheral hemoglobin oxygen saturation (SpO2). While SpO2 is a good estimate of O2 content in the finger where it is measured, it is a delayed measure of its content in the arteries. In addition, it does not incorporate system dynamics and is a poor predictor of future CaO2 values. Therefore, as a first step towards supplementing the usage of SpO2, this work introduces a predictive monitor designed to provide early detection of critical drops in CaO2 caused by a pulmonary shunt in infants.
Temporal analysis for hard real-time scheduling (2002)

The authors present an analysis technique for time driven scheduling based on the timing requirements of tasks. The analysis results in the establishment of a set of temporal relations between pairs of tasks based on a nonpreemptive scheduling model. The relationships can be used effectively to reduce the average complexity of scheduling these tasks. They also serve as a basis for selective preemption policies for scheduling by providing an early test for infeasibility. Examples and simulation results are presented to confirm the usefulness of temporal analysis as a phase prior to scheduling.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Conversion of a helix-turn-helix motif sequence-specific DNA binding protein into a site-specific DNA cleavage agent. (1990)

Escherichia coli catabolite gene activator protein (CAP) is a helix-turn-helix motif sequence-specific DNA binding protein [de Crombrugghe, B., Busby, S. & Buc, H. (1984) Science 224, 831-838; and Pabo, C. & Sauer, R. (1984) Annu. Rev. Biochem. 53, 293-321]. In this work, CAP has been converted into a site-specific DNA cleavage agent by incorporation of the chelator 1,10-phenanthroline at amino acid 10 of the helix-turn-helix motif. [(N-Acetyl-5-amino-1,10-phenanthroline)-Cys178]CAP binds to a 22-base-pair DNA recognition site with Kobs = 1 x 10(8) M-1. In the presence of Cu(II) and reducing agent, [(N-acetyl-5-amino-1,10-phenanthroline)-Cys178]CAP cleaves DNA at four adjacent nucleotides on each DNA strand within the DNA recognition site. The DNA cleavage reaction has been demonstrated using 40-base-pair and 7164-base-pair DNA substrates. The DNA cleavage reaction is not inhibited by dam methylation of the DNA substrate. Such semisynthetic site-specific DNA cleavage agents have potential applications in chromosome mapping, cloning, and sequencing.
Phase behavior and rheology of blends containing polycarbonate and a thermotropic polyester (1996)

The phase behavior and rheology of binary blends of polycarbonate (PC) and a liquid crystalline polymer (LCP) have been investigated. The thermotropic LCP employed was a semiflexible polyester synthesized by melt condensation of t-butylhydroquinone and 4,4′ dichloroformyl-α,ω-diphenoxyhexane. It shows a distinct nematic-to-isotropic transition in the pure state and in the blends. Results of DSC and optical microscopy indicate that the LCP is solubilized in the mixture for weight fractions of LCP less than about 0.05 and shows partial miscibility with PC over the rest of the composition range. The phase separation is considered to be driven by both isotropic and anisotropic interactions between constituent chains. Dynamic oscillatory measurements show that there is some interaction between the separate isotropic and anisotropic phases, with complex viscosities of the blends being intermediate between those of pure components and showing significant deviation from a logarithmic rule-of-mixtures. © 1996 John Wiley & Sons, Inc.
Semiconductors, IV–VI (1999)

Abstract The sections in this article are Material Properties Crystal Growth and Thin Film Deposition Techniques Bandgap Engineering Infrared Detectors Infrared Diode Lasers Thermoelectric Devices Summary
Third-Order Aberrations of Inhomogeneous Lenses with Cylindrical Index Distributions (1971)

An inhomogeneous medium has a cylindrical index distribution if the refractive index depends only on the distance from some fixed line, the axis of the distribution. Formulas are given whereby the third-order aberration coefficients of a symmetric optical system may be computed exactly when the optical media have such cylindrical index distributions. The formulas are valid for both diverging and converging media. A comprehensive numerical illustration of the use of the various formulas is included.
Implementing a fully automatic macro defect detection and classification system in a high-production semiconductor fab (2003)

The <i>Journal of Micro/Nanopatterning, Materials, and Metrology</i> (JM3) publishes peer-reviewed papers on the core enabling technologies that address the patterning needs of the electronics industry.
Gastric cancer and family history (2016)

Gastric cancer is associated with high morbidity and mortality rates worldwide. Identifying individuals at high risk is important for surveillance and prevention of gastric cancer. Having first-degree relatives diagnosed with gastric cancer is a strong and consistent risk factor for gastric cancer, but the pathogenic mechanisms behind this familial aggregation are unclear. Against this background, we reviewed the risk factors for gastric cancer in those with a first-degree relative with gastric cancer, and the possible causes for familial clustering of gastric cancer including bacterial factors, inherited genetic susceptibility, environmental factors or a combination thereof. Among individuals with a family history, current or past <i>Helicobacter pylori</i> infection, having two or more first-degree affected relatives or female gender was associated with an increased risk of developing gastric cancer. To date, no specific single nucleotide polymorphism has been shown to be associated with familial clustering of gastric cancer. <i>H. pylori</i> eradication is the most important strategy for preventing gastric cancer in first-degree relatives of gastric cancer patients, particularly those in their 20s and 30s. Early <i>H. pylori</i> eradication could prevent the progression to intestinal metaplasia and reduce the synergistic effect on gastric carcinogenesis in individuals with both <i>H. pylori</i> infection and a family history. Endoscopic surveillance is also expected to benefit individuals with a family history. Further large-scale, prospective studies are warranted to evaluate the cost-effectiveness and optimal time point for endoscopy in this population. Moreover, genome-wide association studies that incorporate environmental and dietary factors on a 'big data' basis will increase our understanding of the pathogenesis of gastric cancer.
Effects of hydrogen sulfide to <i>Vibrio fischeri, Scenedesmus vacuolatus</i>, and <i>Daphnia magna</i> (2005)

The effects of hydrogen sulfide (H2S) were tested in three ecotoxicological tests in order to evaluate its confounding potential in assessment of pore water and groundwater toxicity. The luminescent bacteria Vibrio fischeri, the water flea Daphnia magna, and the microalgae Scenedesmus vacuolatus often are part of a biotest battery. A new technique for the synthesis of hydrogen sulfide solutions of defined concentrations using an electrochemical generator instead of sodium sulfide solutions was used. Because hydrogen sulfide is volatile, the loss rate of H2S was studied over time to enable estimation of the mean test concentrations over the whole test duration. Loss rates were calculated to be 13 +/- 6% after 30 min, and 39 +/- 11% and 43 +/- 16% after a 24- and 48-h exposure time, respectively. Sensitivities of the test organisms in terms of median effective concentration (EC50), corrected for the above loss rates, varied from 0.28 to 0.0036 and 0.055 mM for the luminescent bacteria, the crustacea, and the algae, respectively. A species-sensitivity distribution using EC and mean lethal concentration literature data for marine and freshwater crustaceans and phytoplankton showed a medium sensitivity of the water flea D. magna, though the bacteria V. fischeri and the algae S. vacuolatus were among the least-sensitive group of organisms. This demonstrates that only the algae and the bacteria are easy to use in the assessment of toxicity of matrices with H2S concentrations above 0.06 mM.
Clinical Investigation of the Protective Effects of Palm Vitamin E Tocotrienols on Brain White Matter (2014)

http://www.clinicaltrials.gov. Unique identifier: NCT00753532.
Memory scheduling for modern microprocessors (2007)

The need to carefully schedule memory operations has increased as memory performance has become increasingly important to overall system performance. This article describes the adaptive history-based (AHB) scheduler, which uses the history of recently scheduled operations to provide three conceptual benefits: (1) it allows the scheduler to better reason about the delays associated with its scheduling decisions, (2) it provides a mechanism for combining multiple constraints, which is important for increasingly complex DRAM structures, and (3) it allows the scheduler to select operations so that they match the program's mixture of Reads and Writes, thereby avoiding certain bottlenecks within the memory controller. We have previously evaluated this scheduler in the context of the IBM Power5. When compared with the state of the art, this scheduler improves performance by 15.6%, 9.9%, and 7.6% for the Stream, NAS, and commercial benchmarks, respectively. This article expands our understanding of the AHB scheduler in a variety of ways. Looking backwards, we describe the scheduler in the context of prior work that focused exclusively on avoiding bank conflicts, and we show that the AHB scheduler is superior for the IBM Power5, which we argue will be representative of future microprocessor memory controllers. Looking forwards, we evaluate this scheduler in the context of future systems by varying a number of microarchitectural features and hardware parameters. For example, we show that the benefit of this scheduler increases as we move to multithreaded environments.