Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Natural Language Processing
Title: An empirical evaluation of resources for the identification of diseases and adverse effects in biomedical literature
Abstract: The mentions of human health perturbations such as the diseases and adverse effects denote a special entity class in the biomedical literature. They help in understanding the underlying risk factors and develop a preventive rationale. The recognition of these named entities in texts through dictionary-based approaches relies on the availability of appropriate terminological resources. Although few resources are publicly available, not all are suitable for the text mining needs. Therefore, this work provides an overview of the well known resources with respect to human diseases and adverse effects such as the MeSH, MedDRA, ICD-10, SNOMED CT, and UMLS. Individual dictionaries are generated from these resources and their performance in recognizing the named entities is evaluated over a manually annotated corpus. In addition, the steps for curating the dictionaries, rule-based acronym disambiguation and their impact on the dictionary performance is discussed. The results show that the MedDRA and UMLS achieve the best recall. Besides this, MedDRA provides an additional benefit of achieving a higher precision. The combination of search results of all the dictionaries achieve a considerably high recall. The corpus is available on http://www.scai.fraunhofer.de/disease-ae-corpus.html
Extracted statement — Other resources: SNOMED CT
Research field: Organic Chemistry
Title: Effect of Pt treated fullerene/TiO2 on the photocatalytic degradation of MO under visible light
Abstract: Platinum treated fullerene/TiO2 composites (Pt-fullerene/TiO2) were prepared using a sol–gel method. The composite obtained was characterized by FT-IR, BET surface area measurements, X-ray diffraction, energy dispersive X-ray analysis, transmission electron microscopy (TEM) and UV-vis analysis. A methyl orange (MO) solution under visible light irradiation was used to determine the photocatalytic activity. Excellent photocatalytic degradation of a MO solution was observed using the Pt-TiO2, fullerene-TiO2 and Pt-fullerene/TiO2 composites under visible light. An increase in photocatalytic activity was observed and Pt-fullerene/TiO2 has the best photocatalytic activity, which may be attributable to increase of the photo-absorption effect by the fullerene and the cooperative effect of the Pt.
Extracted statement — Degraded substance: methyl orange
Research field: Science
Title: On the Interactions Between Routing and Inventory-Management Policies in a One-WarehouseN-Retailer Distribution System
Abstract: This paper examines the interactions between routing and inventory-management decisions in a two-level supply chain consisting of a cross-docking warehouse and N retailers. Retailer demand is normally distributed and independent across retailers and over time. Travel times are fixed between pairs of system sites. Every m time periods, system inventory is replenished at the warehouse, whereupon an uncapacitated vehicle departs on a route that visits each retailer once and only once, allocating all of its inventory based on the status of inventory at the retailers who have not yet received allocations. The retailers experience newsvendor-type inventory-holding and backorder-penalty costs each period; the vehicle experiences in-transit inventory-holding costs each period. Our goal is to determine a combined system inventory-replenishment, routing, and inventory-allocation policy that minimizes the total expected cost/period of the system over an infinite time horizon. Our analysis begins by examining the determination of the optimal static route, i.e., the best route if the vehicle must travel the same route every replenishment-allocation cycle. Here we demonstrate that the optimal static route is not the shortest-total-distance (TSP) route, but depends on the variance of customer demands, and, if in-transit inventory-holding costs are charged, also on mean customer demands. We then examine dynamic-routing policies, i.e., policies that can change the route from one system-replenishment-allocation cycle to another, based on the status of the retailers' inventories. Here we argue that in the absence of transportation-related cost, the optimal dynamic-routing policy should be viewed as balancing management's ability to respond to system uncertainties (by changing routes) against system uncertainties that are induced by changing routes. We then examine the performance of a change-revert heuristic policy. Although its routing decisions are not fully dynamic, but determined and fixed for a given cycle at the time of each system replenishment, simulation tests with N = 2 and N = 6 retailers indicate that its use can substantially reduce system inventory-related costs even if most of the time the chosen route is the optimal static route.
Extracted statement — approach: change-revert heuristic
Research field: Science
Title: Development of a real-time learning scheduler using reinforcement learning concepts
Abstract: A scheme for the scheduling of flexible manufacturing systems (FMS) has been developed which divides the scheduling function (built upon a generic controller architecture) into four different steps: candidate rule selection, transient phenomena analysis, multicriteria compromise analysis, and learning. This scheme is based on a hybrid architecture which utilizes neural networks, simulation, genetic algorithms, and induction mechanism. This paper investigates the candidate rule selection process, which selects a small list of scheduling rules from a larger list of such rules. This candidate rule selector is developed by using the integration of dynamic programming and neural networks. The system achieves real-time learning using this approach. In addition, since an expert scheduler is not available, it utilizes reinforcement signals from the environment (a measure of how desirable the achieved state is as measured by the resulting performance criteria). The approach is discussed and further research issues are presented.<<ETX>>
Extracted statement — Criterion A: Not available
Research field: Science
Title: Development of a real-time learning scheduler using reinforcement learning concepts
Abstract: A scheme for the scheduling of flexible manufacturing systems (FMS) has been developed which divides the scheduling function (built upon a generic controller architecture) into four different steps: candidate rule selection, transient phenomena analysis, multicriteria compromise analysis, and learning. This scheme is based on a hybrid architecture which utilizes neural networks, simulation, genetic algorithms, and induction mechanism. This paper investigates the candidate rule selection process, which selects a small list of scheduling rules from a larger list of such rules. This candidate rule selector is developed by using the integration of dynamic programming and neural networks. The system achieves real-time learning using this approach. In addition, since an expert scheduler is not available, it utilizes reinforcement signals from the environment (a measure of how desirable the achieved state is as measured by the resulting performance criteria). The approach is discussed and further research issues are presented.<<ETX>>
Extracted statement — job complexity and routing flexibility: Not available
Research field: Science
Title: Development of a real-time learning scheduler using reinforcement learning concepts
Abstract: A scheme for the scheduling of flexible manufacturing systems (FMS) has been developed which divides the scheduling function (built upon a generic controller architecture) into four different steps: candidate rule selection, transient phenomena analysis, multicriteria compromise analysis, and learning. This scheme is based on a hybrid architecture which utilizes neural networks, simulation, genetic algorithms, and induction mechanism. This paper investigates the candidate rule selection process, which selects a small list of scheduling rules from a larger list of such rules. This candidate rule selector is developed by using the integration of dynamic programming and neural networks. The system achieves real-time learning using this approach. In addition, since an expert scheduler is not available, it utilizes reinforcement signals from the environment (a measure of how desirable the achieved state is as measured by the resulting performance criteria). The approach is discussed and further research issues are presented.<<ETX>>
Extracted statement — Resources and their constraints: Not available
Research field: Semiconductor and Optical Materials
Title: Dismantling the “Red Wall” of Colloidal Perovskites: Highly Luminescent Formamidinium and Formamidinium–Cesium Lead Iodide Nanocrystals
Abstract: Colloidal nanocrystals (NCs) of APbX3-type lead halide perovskites [A = Cs+, CH3NH3+ (methylammonium or MA+) or CH(NH2)2+ (formamidinium or FA+); X = Cl–, Br–, I–] have recently emerged as highly versatile photonic sources for applications ranging from simple photoluminescence down-conversion (e.g., for display backlighting) to light-emitting diodes. From the perspective of spectral coverage, a formidable challenge facing the use of these materials is how to obtain stable emissions in the red and infrared spectral regions covered by the iodide-based compositions. So far, red-emissive CsPbI3 NCs have been shown to suffer from a delayed phase transformation into a nonluminescent, wide-band-gap 1D polymorph, and MAPbI3 exhibits very limited chemical durability. In this work, we report a facile colloidal synthesis method for obtaining FAPbI3 and FA-doped CsPbI3 NCs that are uniform in size (10–15 nm) and nearly cubic in shape and exhibit drastically higher robustness than their MA- or Cs-only cousins with similar sizes and morphologies. Detailed structural analysis indicated that the FAPbI3 NCs had a cubic crystal structure, while the FA0.1Cs0.9PbI3 NCs had a 3D orthorhombic structure that was isostructural to the structure of CsPbBr3 NCs. Bright photoluminescence (PL) with high quantum yield (QY > 70%) spanning red (690 nm, FA0.1Cs0.9PbI3 NCs) and near-infrared (near-IR, ca. 780 nm, FAPbI3 NCs) regions was sustained for several months or more in both the colloidal state and in films. The peak PL wavelengths can be fine-tuned by using postsynthetic cation- and anion-exchange reactions. Amplified spontaneous emissions with low thresholds of 28 and 7.5 μJ cm–2 were obtained from the films deposited from FA0.1Cs0.9PbI3 and FAPbI3 NCs, respectively. Furthermore, light-emitting diodes with a high external quantum efficiency of 2.3% were obtained by using FAPbI3 NCs.
Extracted statement — Data: several months or more
Research field: electrical engineering
Title: Remarkable Improvement in Foldability of Poly‐Si Thin‐Film Transistor on Polyimide Substrate Using Blue Laser Crystallization of Amorphous Si and Comparison with Conventional Poly‐Si Thin‐Film Transistor Used for Foldable Displays
Abstract: Highly robust poly‐Si thin‐film transistor (TFT) on polyimide (PI) substrate using blue laser annealing (BLA) of amorphous silicon (a‐Si) for lateral crystallization is demonstrated. Its foldability is compared with the conventional excimer laser annealing (ELA) poly‐Si TFT on PI used for foldable displays exhibiting field‐effect mobility of 85 cm2 (V s)−1. The BLA poly‐Si TFT on PI exhibits the field‐effect mobility, threshold voltage (VTH), and subthreshold swing of 153 cm2 (V s)−1, −2.7 V, and 0.2 V dec−1, respectively. Most important finding is the excellent foldability of BLA TFT compared with the ELA poly‐Si TFTs on PI substrates. The VTH shift of BLA poly‐Si TFT is ≈0.1 V, which is much smaller than that (≈2 V) of ELA TFT on PI upon 30 000 cycle folding. The defects are generated at the grain boundary region of ELA poly‐Si during folding. However, BLA poly‐Si has no protrusion in the poly‐Si channel and thus no defect generation during folding. This leads to excellent foldability of BLA poly‐Si on PI substrate.
Extracted statement — keywords: Amorphous Si
Research field: electrical engineering
Title: Fabrication of a Monolithic Implantable Neural Interface from Cubic Silicon Carbide
Abstract: <jats:p>One of the main issues with micron-sized intracortical neural interfaces (INIs) is their long-term reliability, with one major factor stemming from the material failure caused by the heterogeneous integration of multiple materials used to realize the implant. Single crystalline cubic silicon carbide (3C-SiC) is a semiconductor material that has been long recognized for its mechanical robustness and chemical inertness. It has the benefit of demonstrated biocompatibility, which makes it a promising candidate for chronically-stable, implantable INIs. Here, we report on the fabrication and initial electrochemical characterization of a nearly monolithic, Michigan-style 3C-SiC microelectrode array (MEA) probe. The probe consists of a single 5 mm-long shank with 16 electrode sites. An ~8 µm-thick p-type 3C-SiC epilayer was grown on a silicon-on-insulator (SOI) wafer, which was followed by a ~2 µm-thick epilayer of heavily n-type (n+) 3C-SiC in order to form conductive traces and the electrode sites. Diodes formed between the p and n+ layers provided substrate isolation between the channels. A thin layer of amorphous silicon carbide (a-SiC) was deposited via plasma-enhanced chemical vapor deposition (PECVD) to insulate the surface of the probe from the external environment. Forming the probes on a SOI wafer supported the ease of probe removal from the handle wafer by simple immersion in HF, thus aiding in the manufacturability of the probes. Free-standing probes and planar single-ended test microelectrodes were fabricated from the same 3C-SiC epiwafers. Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were performed on test microelectrodes with an area of 491 µm2 in phosphate buffered saline (PBS) solution. The measurements showed an impedance magnitude of 165 kΩ ± 14.7 kΩ (mean ± standard deviation) at 1 kHz, anodic charge storage capacity (CSC) of 15.4 ± 1.46 mC/cm2, and a cathodic CSC of 15.2 ± 1.03 mC/cm2. Current-voltage tests were conducted to characterize the p-n diode, n-p-n junction isolation, and leakage currents. The turn-on voltage was determined to be on the order of ~1.4 V and the leakage current was less than 8 μArms. This all-SiC neural probe realizes nearly monolithic integration of device components to provide a likely neurocompatible INI that should mitigate long-term reliability issues associated with chronic implantation.</jats:p>
Extracted statement —  Film structure: Single crystalline
Research field: Anatomy
Title: Hypercholesterolemia in pregnant mice increases the susceptibility to atherosclerosis in adult life
Abstract: Purpose To determine the effects of hypercholesterolemia in pregnant mice on the susceptibility to atherosclerosis in adult life through a new animal modeling approach. Methods Male offspring from apoE−/− mice fed with regular (R) or high (H) cholesterol chow during pregnancy were randomly subjected to regular (Groups R–R and H–R, n = 10) or high cholesterol diet (Groups R–H and H–H, n = 10) for 14 weeks. Plasma lipid profiles were determined in all rats. The abdominal aorta was examined for the severity of atherosclerotic lesions in offspring. Results Lipids significantly increased while high-density lipoprotein-cholesterol/low-density lipoprotein-cholesterol decreased in mothers fed high cholesterol chow after delivery compared with before pregnancy (p < 0.01). Groups R–H and H–R indicated dyslipidemia and significant atherosclerotic lesions. Group H–H demonstrated the highest lipids, lowest high-density lipoprotein-cholesterol/low-density lipoprotein-cholesterol, highest incidence (90%), plaque area to luminal area ratio (0.78 ± 0.02) and intima to media ratio (1.57 ± 0.05). Conclusion Hypercholesterolemia in pregnant mice may increase susceptibility to atherosclerosis in their adult offspring.
Extracted statement — atherosclerosis incidence: 90%
Research field: Applied Physics
Title: Flux of OH and O radicals onto a surface by an atmospheric-pressure helium plasma jet measured by laser-induced fluorescence
Abstract: The atmospheric-pressure helium plasma jet is of emerging interest as a cutting-edge biomedical device for cancer treatment, wound healing and sterilization. Reactive oxygen species such as OH and O radicals are considered to be major factors in the application of biological plasma. In this study, density distribution, temporal behaviour and flux of OH and O radicals on a surface are measured using laser-induced fluorescence. A helium plasma jet is generated by applying pulsed high voltage of 8 kV with 10 kHz using a quartz tube with an inner diameter of 4 mm. To evaluate the relation between the surface condition and active species production, three surfaces are used: dry, wet and rat skin. When the helium flow rate is 1.5 l min−1, radial distribution of OH density on the rat skin surface shows a maximum density of 1.2 × 1013 cm−3 at the centre of the plasma-mediated area, while O atom density shows a maximum of 1.0 × 1015 cm−3 at 2.0 mm radius from the centre of the plasma-mediated area. Their densities in the effluent of the plasma jet are almost constant during the intervals of the discharge pulses because their lifetimes are longer than the pulse interval. Their density distribution depends on the helium flow rate and the surface humidity. With these results, OH and O production mechanisms in the plasma jet and their flux onto the surface are discussed.
Extracted statement — Excitation_frequency: 10 kHz
Research field: Applied Physics
Title: Spectroscopic Investigation of a Microwave-Generated Atmospheric Pressure Plasma Torch
Abstract: The investigated new microwave plasma torch is based on an axially symmetric resonator. Microwaves of a frequency of 2.45 GHz are resonantly fed into this cavity resulting in a sufficiently high electric field to ignite plasma without any additional igniters as well as to maintain stable plasma operation. Optical emission spectroscopy was carried out to characterize a humid air plasma. OH‐bands were used to determine the gas rotational temperature Trot while the electron temperature was estimated by a Boltzmann plot of oxygen lines. Maximum temperatures of Trot of about 3600 K and electron temperatures of 5800 K could be measured. The electron density ne was estimated to ne ≈ 3 · 1020m–3 by using Saha's equation. Parametric studies in dependence of the gas flow and the supplied microwave power revealed that the maximum temperatures are independent of these parameters. However, the volume of the plasma increases with increasing microwave power and with a decrease of the gas flow. Considerations using collision frequencies, energy transfer times and power coupling provide an explanation of the observed phenomena: The optimal microwave heating is reached for electron‐neutral collision frequencies νen being near to the angular frequency of the wave ω (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Extracted statement — Excitation_frequency: 2.45 GHz
Research field: Applied Physics
Title: Modeling of microwave-induced plasma in argon at atmospheric pressure
Abstract: A two-dimensional model of microwave-induced plasma (field frequency 2.45 GHz) in argon at atmospheric pressure is presented. The model describes in a self-consistent manner the gas flow and heat transfer, the in-coupling of the microwave energy into the plasma, and the reaction kinetics relevant to high-pressure argon plasma including the contribution of molecular ion species. The model provides the gas and electron temperature distributions, the electron, ion, and excited state number densities, and the power deposited into the plasma for given gas flow rate and temperature at the inlet, and input power of the incoming TEM microwave. For flow rate and absorbed microwave power typical for analytical applications (200-400 ml/min and 20 W), the plasma is far from thermodynamic equilibrium. The gas temperature reaches values above 2000 K in the plasma region, while the electron temperature is about 1 eV. The electron density reaches a maximum value of about 4 × 10(21) m(-3). The balance of the charged particles is essentially controlled by the kinetics of the molecular ions. For temperatures above 1200 K, quasineutrality of the plasma is provided by the atomic ions, and below 1200 K the molecular ion density exceeds the atomic ion density and a contraction of the discharge is observed. Comparison with experimental data is presented which demonstrates good quantitative and qualitative agreement.
Extracted statement — Excitation_frequency: 2.45 GHz
Research field: Applied Physics
Title: Integrated Microwave Atmospheric Plasma Source (IMAPlaS): thermal and spectroscopic properties and antimicrobial effect onB. atrophaeusspores
Abstract: The Integrated Microwave Atmospheric Plasma Source (IMAPlaS) operating with a microwave resonator at 2.45 GHz driven by a solid-state transistor oscillator generates a core plasma of high temperature (T > 1000 K), therefore producing reactive species such as NO very effectively. The effluent of the plasma source is much colder, which enables direct treatment of thermolabile materials or even living tissue. In this study the source was operated with argon, helium and nitrogen with gas flow rates between 0.3 and 1.0 slm. Depending on working gas and distance, axial gas temperatures between 30 and 250 °C were determined in front of the nozzle. Reactive species were identified by emission spectroscopy in the spectral range from vacuum ultraviolet to near infrared. The irradiance in the ultraviolet range was also measured. Using B. atrophaeus spores to test antimicrobial efficiency, we determined log10-reduction rates of up to a factor of 4.
Extracted statement — Excitation_frequency: 2.45 GHz
Research field: Applied Physics
Title: The influence of the geometry and electrical characteristics on the formation of the atmospheric pressure plasma jet
Abstract: An extensive electrical study was performed on a coaxial geometry atmospheric pressure plasma jet source in helium, driven by 30 kHz sine voltage. Two modes of operation were observed, a highly reproducible low-power mode that features the emission of one plasma bullet per voltage period and an erratic high-power mode in which micro-discharges appear around the grounded electrode. The minimum of power transfer efficiency corresponds to the transition between the two modes. Effective capacitance was identified as a varying property influenced by the discharge and the dissipated power. The charge carried by plasma bullets was found to be a small fraction of charge produced in the source irrespective of input power and configuration of the grounded electrode. The biggest part of the produced charge stays localized in the plasma source and below the grounded electrode, in the range 1.2–3.3 nC for ground length of 3–8 mm.
Extracted statement — Excitation_frequency: 30 kHz