Miracle-dz/UniFAR-FTUs huggingface dataset:
Improvement on fluorescent properties of photonic crystals filled by quantum dots based on multi-layer films

Fluorescence-filled photonic crystal multi-layer films are widely used in laser, sensing, display and other fields due to their photonic bandgap and fluorescence emission properties. In this paper, photonic crystals filled with carbon quantum dots from different precursors have been prepared. It is found that photonic crystals filled with fluorescent carbon quantum dots have optically variable properties excited by ultraviolet light. The optically variable properties of photonic crystals filled with carbon quantum dots at emission peaks of 616, 510 and 450 nm were studied. The fluorescent properties of carbon quantum dots at emission peaks of 616 nm were the best compared to 510 nm and 450 nm. The effects of hole radius R, hole gap d and hole depth h on optically variable properties of fluorescent filled photonic crystals were investigated using 510 nm carbon quantum dots. The results showed that the optically variable properties of fluorescent photonic crystals is strongest when R=400 nm, d=1.5 μm and h=200 nm.
Preliminary study of tubular peat extrusion

This work describes the preparation and characterization of tubular peat granules for potential use in the field drying process, consisting of a mixed peat structure. Hollow peat tubes having internal diameter 30 mm and overall diameter 60 mm were produced by extrusion and used as a unit for the field drying process. The primary goal of this report is the development of the combination of fiber peat (top layer of deposit) with plastic peat (bottom layer of deposit) without additives and binders for producing a more stable and cohesive granule. The content of the mix was 1:5 by volume. When the moisture content was increased to 80% by mass (weight), moist pellets were formed. A simple test was performed on the peat samples to confirm the mixing efficiency. The advantage of such tubular geometry is that it provides 1.6 times higher surface area/volume for field drying process intensification. Promising results were achieved, in particular, when tubes with a bigger diameter were used. The method is inexpensive and simple to scale; however, further research is needed in view of a final optimization.
Niveles de ansiedad, depresión y percepción de apoyo social en estudiantes de Odontología de la Universidad de Chile

This study aimed to describe anxiety, depression and perceived social support variables of University of Chile dental students in two moments in the semester, and also checks the requirements of this curriculum and the increases of the levels of anxiety and depression. The scales Hospital Anxiety and Depression Scale -HADS- (Snaith & Zigmond, 1983) and Duke University Functional Social Support -DUFSS- were applied. The study was a cross-sectional and longitudinal, descriptive, correlational and with a nonrandom sample (n=440). The findings are that students are significantly more anxious than depressed, especially female, and those who attend to the third and fourth years. The HADS has good reliability, finding a solution of two factors that indicate the original structure of the questionnaire.
Investigations on Amphoteric Chitosan/TiO2 Bionanocomposites for Application in Visible Light Induced Photocatalytic Degradation

The present investigation reports the greener synthesis and characterization of novel acrylic acid grafted amphoteric chitosan/TiO2 (CAT) bionanocomposites using ultrasonic radiations. This was done by grafting of acrylic acid onto chitosan in the presence of potassium persulfate by free radical polymerization reaction. The uniform distribution of metal oxide in CA/TiO2 nanocomposites was achieved on grafted acrylic acid/chitosan which contains a weak anionic group (-COOH) using ultrasonication technique. Physiochemical techniques such as X-ray diffraction (XRD), field emission scanning electron microscope (FE-SEM), Fourier Transform Infra-Red spectroscopy (FT-IR), Energy Dispersive X-ray spectroscopy (EDX), and Thermal Gravimetric Analysis (TGA) were employed to characterize synthesized CAT. Nanocomposite CAT was applied for degradation of industrial dye. Malachite green (MG) often presents in the waste waters. The degradation kinetics were studied by monitoring the photocatalytic reaction for degradation of MG under visible light, and the rate constant of the reaction was found to be 7.13x10−3min−1. The current research work opens vistas for the new dimensions in the area of water treatment by solving the issues related to degradation reaction efficiency in visible light and cost effectiveness.
Methodologies and Simulation Framework for Architectural Analysis and Power Management of FinFET Chip Multiprocessors

This dissertation presents a simulation framework, called FinCANON, for modeling power and timing to support a comprehensive design space exploration of caches and networks-on-chip (NoCs) in a chip multiprocessor system. It also describes methodologies for analyzing the impact of process, voltage, and temperature (PVT) variations on power consumption and delay. At the architecture level, it introduces a flow control mechanism to manage both the throughput and power consumption of NoCs. FinFETs have emerged as promising substitutes for bulk CMOS at the 22nm technology node and beyond. Nevertheless, PVT variations in FinFETs lead to large spreads in delay and leakage. We have developed a FinFET design library to model the circuit-level characteristics as well as their variation trends with respect to various PVT parameters for FinFET logic gates and memory cells. Based on a statistical static timing analysis technique and macromodel based methodology, we have derived the PVT variation models for delay and leakage, taking into account spatial correlations, to characterize the impact of PVT variations on FinFET-based caches and NoCs. Based on the FinFET design library, we next present FinCANON, an integrated framework for the simulation of power, delay, as well as PVT variations of FinFETbased caches and NoCs. FinCANON is built atop CACTI-PVT and ORION-PVT that model caches and NoCs, respectively. FinCANON enables architects to evaluate the impact of PVT variations on caches and NoCs at an early design stage. We present results for various FinFET design styles and show that mixing different styles may be a promising strategy for optimizing delay and leakage of caches and NoCs. We next discuss the microarchitecture and flow control mechanism of a variablepipeline-stage router (VPSR). VPSR adjusts the number of pipeline stages based on incoming traffic to a router port, leading to significant savings in leakage power while iii maintaining router throughput. We also propose enhanced token flow control, a flow control mechanism that improves upon the energy-delay-throughput of the previous state-of-the-art token flow control mechanism. We propose a new concept of using guaranteed tokens to establish temporary express virtual channels to quickly bypass packets from congested regions.
Intelligent EHRs: Predicting Procedure Codes From Diagnosis Codes

In order to submit a claim to insurance companies, a doctor needs to code a patient encounter with both the diagnosis (ICDs) and procedures performed (CPTs) in an Electronic Health Record (EHR). Identifying and applying relevant procedures code is a cumbersome and time-consuming task as a doctor has to choose from around 13,000 procedure codes with no predefined one-to-one mapping. In this paper, we propose a state-of-the-art deep learning method for automatic and intelligent coding of procedures (CPTs) from the diagnosis codes (ICDs) entered by the doctor. Precisely, we cast the learning problem as a multi-label classification problem and use distributed representation to learn the input mapping of high-dimensional sparse ICDs codes. Our final model trained on 2.3 million claims is able to outperform existing rule-based probabilistic and association-rule mining based methods and has a recall of 90@3.
A Feature Extraction Method for the Wear of Milling Tools Based on the Hilbert Marginal Spectrum

Abstract The Hilbert–Huang transform (HHT) can adaptively delineate complex non-linear, non-stationary signals when used as the Hilbert–Huang marginal spectrum through empirical mode decomposition (EMD) and the Hilbert transform, to highlight local features of signals. Characterized by high resolution, the Hilbert marginal spectrum has been widely applied in mechanical signal processing and fault diagnosis. In the research, an HHT based on the improved EMD was proposed to analyze the cutting force, vibration acceleration (AC), and acoustic emission (AE) signals during tool wear in the milling process. At first, the collected signals were subjected to range analysis, which revealed that tool wear was closely related to the signals collected during the cutting process. Then, EMD was applied to the signals, followed by variance analysis after calculating the energies of each intrinsic mode function (IMF) component. Afterwards, the IMF components significantly influenced by wear degree, while slightly influenced by the three cutting factors (cutting velocity, feed per tooth, and cutting depth), were selected as IMF sensitive to the degree of wear. The HHT was finally applied to the sensitive IMF components of signals containing major tool wear information, thus obtaining the Hilbert marginal spectra of the signals, which were able to reflect the changes in signal amplitude with frequency. On the basis of the Hilbert marginal spectrum, the method defined the feature energy function which was then used as the eigenvector for predicting tool wear in milling processes. The analysis of signals in four tool wear states indicated that the method can extract salient tool wear features.
Study on Wear Properties of the Flow Parts in a Centrifugal Pump Based on EDEM–Fluent Coupling

By using EDEM–Fluent codes and coupling the continuous fluid medium with a solid particle discrete element, the solid–liquid two-phase flow field in a centrifugal pump was simulated under the same inlet conditions of the particle volume fraction and three flow conditions of 0.7Qd, 1.0Qd and 1.3Qd. By introducing the Archard wear model, the wear was calculated, and the wear law was obtained for the pump flow parts such as the leading edge of the impeller blade, blade tip, blade pressure side, blade suction side, impeller shroud, hub and volute. The results demonstrate that the wear of volute is about 70% of the total wear of pump. The wear in the impeller mainly occurs in the blade leading edge, the junction of the hub and the trailing part of the blade pressure side, and the junction of the shroud and the rear part of the blade suction side. Under lower flow conditions, the wear in the impeller shroud is relatively considerable. As the flow rate increases, the wear in the blade pressure side and the hub increases significantly.
Hexacyano Ferrate (III) Reduction by Electron Transfer Induced by Plasmonic Catalysis on Gold Nanoparticles

Redox reactions are of great importance in environmental catalysis. Gold nanoparticles (Au-NPs) have attracted much attention because of their catalytic activity and their localized surface plasmon resonance (LSPR). In the present study, we investigated, in detail, the reduction of ferricyanide (III) ion into a ferrocyanide (II) ion catalyzed by spherical gold nanoparticles of two different sizes, 15 nm and 30 nm, and excited at their LSPR band. Experiments were conducted in the presence (or absence) of sodium thiosulfate. This catalysis is enhanced in the presence of Au- NPs under visible light excitation. This reduction also takes place even without sodium thiosulfate. Our results demonstrate the implication of hot electrons in this reduction.
APPROXIMATE DYNAMIC PROGRAMMING CONTROLLER FOR MULTIPLE INTERSECTIONS

In this paper we propose a distributed control method based on approximate dynamic programming for traffic networks. A closed-form linear function is used to map state to scalar quantity as an approximation to the look-up table presentation of exact quantities used in dynamic programming. This substantially reduces computational requirement and makes the proposed method conforming to real-time operation. Temporal-difference learning is used to improve approximation at real-time. A cellular automation model is used to describe traffic dynamics in road networks. We show in numerical experiments that the proposed approach significantly improves control performance from optimised fixed-time plans in a range of test scenarios. Indicator for control performance is weighted sum of vehicle delays and stops.
Natural ester fluids applications in transformers as a sustainable dielectric and coolant

New requirements for a better sustainable energy policy around the world is easy to observe, many projects in sustainable energy are developed wherein the academia works together the authorities and commercial firms such as electrical grid utilities. In distribution transformers one of the suggested solutions is to replace mineral oils used as dielectric and coolant for natural ester fluids, they provide improved technical properties making them a safe substitute of mineral oil. Natural esters are based on clean technology in order to guarantee requirements from utilities. The main goal of the present paper is to present a technical-economic analysis obtained from five years of applications of oil-immersed transformers using natural ester fluids in Colombia. The methodology considers forty-four oil-immersed distribution Transformers, a half use mineral oil and the other side use natural ester, operating under the same load regime. Results evidenced the feasibility of implementing this technology because the costs are very similar and the reduction of risks and environmental impact is considerable.New requirements for a better sustainable energy policy around the world is easy to observe, many projects in sustainable energy are developed wherein the academia works together the authorities and commercial firms such as electrical grid utilities. In distribution transformers one of the suggested solutions is to replace mineral oils used as dielectric and coolant for natural ester fluids, they provide improved technical properties making them a safe substitute of mineral oil. Natural esters are based on clean technology in order to guarantee requirements from utilities. The main goal of the present paper is to present a technical-economic analysis obtained from five years of applications of oil-immersed transformers using natural ester fluids in Colombia. The methodology considers forty-four oil-immersed distribution Transformers, a half use mineral oil and the other side use natural ester, operating under the same load regime. Results evidenced the feasibility of implementing this technology because t.
An Equation of State for Metals at High Temperature and Pressure in Compressed and Expanded Volume Regions

A simple equation of state model for metals at high temperature and pressure is described. The model consists of zero-temperature isotherm, thermal ionic components, and thermal electronic components, and is applicable in compressed as well as expanded volume regions. The three components of the model, together with appropriate correction terms, are described in detail using Cu as a prototype example. Shock wave Hugoniot, critical point parameters, liquid–vapor phase diagram, isobaric expansion, etc., are evaluated and compared with experimental data for Cu. The semianalytical model is expected to be useful to prepare extended tables for use in hydrodynamics calculations in high-energy-density physics.
Micro-Macro Relationship between Microstructure, Porosity, Mechanical Properties, and Build Mode Parameters of a Selective-Electron-Beam-Melted Ti-6Al-4V Alloy

The performance of two selective electron beam melting operation modes, namely the manual mode and the automatic ‘build theme mode’, have been investigated for the case of a Ti-6Al-4V alloy (45–105 μm average particle size of the powder) in terms of porosity, microstructure, and mechanical properties. The two operation modes produced notable differences in terms of build quality (porosity), microstructure, and properties over the sample thickness. The number and the average size of the pores were measured using a light microscope over the entire build height. A density measurement provided a quantitative index of the global porosity throughout the builds. The selective-electron-beam-melted microstructure was mainly composed of a columnar prior β-grain structure, delineated by α-phase boundaries, oriented along the build direction. A nearly equilibrium α + β mixture structure, formed from the original β-phase, arranged inside the prior β-grains as an α-colony or α-basket weave pattern, whereas the β-phase enveloped α-lamellae. The microstructure was finer with increasing distance from the build plate regardless of the selected build mode. Optical measurements of the α-plate width showed that it varied as the distance from the build plate varied. This microstructure parameter was correlated at the sample core with the mechanical properties measured by means of a macro-instrumented indentation test, thereby confirming Hall-Petch law behavior for strength at a local scale for the various process conditions. The tensile properties, while attesting to the mechanical performance of the builds over a macro scale, also validated the indentation property measurement at the core of the samples. Thus, a direct correlation between the process parameters, microstructure, porosity, and mechanical properties was established at the micro and macro scales. The macro-instrumented indentation test has emerged as a reliable, easy, quick, and yet non-destructive alternate means to the tensile test to measure tensile-like properties of selective-electron-beam-melted specimens. Furthermore, the macro-instrumented indentation test can be used effectively in additive manufacturing for a rapid setting up of the process, that is, by controlling the microscopic scale properties of the samples, or to quantitatively determine a product quality index of the final builds, by taking advantage of its intrinsic relationship with the tensile properties.
Nickel Oxide Selectively Deposited on the {101} Facet of Anatase TiO2 Nanocrystal Bipyramids for Enhanced Photocatalysis

Facet-engineered anatase TiO2 with NiO nanoparticles heterocontacts were successfully prepared by selective photodeposition of NiO nanoparticles onto the {101} facet of the top-truncated bipyramidal TiO2 anatase nanocrystals coexposed with {001} and {101} facets. The morphology and electronic properties of the resulting 0.1–10 wt % NiO-decorated TiO2 were investigated by X-ray diffraction, high-resolution electron microscopy, N2 sorption analysis, and UV–vis spectroscopy. Furthermore, a careful determination of the energy band alignment diagram was conducted by a model experiment using XPS and UPS to verify charge separation at the interface of the NiO−TiO2 heterostructure. The model experiment was performed by stepwise deposition of NiO onto oriented TiO2 substrates and in-situ photoelectron spectroscopy measurements without breaking vacuum. Core levels showed shifts of 0.58 eV toward lower binding energies, meaning an upward band bending in TiO2 at the NiO–TiO2 interface. Furthermore, 0.1 wt % NiO–TiO2 .
Theoretical analysis and experimental studies on torque friction in magnetic fluid seals

Magnetic fluid seals are among the most common applications of ferrofluids. In such seals, the torque friction results only from the internal friction in the fluid and there is no direct contact between seal elements. Despite this, the heat generated during operation can be significant due to the low volume of the ferrofluid in the seal and high rotational speeds. The difficulty in calculating the torque friction is because the ferrofluid is a non-Newtonian fluid and changes its viscosity under the influence of a magnetic field. In order to measure torque friction in magnetic fluid seals, a special test stand was built. Tests were performed at different rotation speeds, different temperatures, and two seal stage geometries (rectangle and trapezoid). Numerical simulations were performed to determine the magnetic field distribution in the seal. Dynamic viscosity under the influence of the magnetic field was measured on a rotary rheometer. Mathematical models were compared with laboratory results. The results obtained from the calculations in some cases gave overstated values almost twice in value. An additional correction in the case of ferrofluid viscosity is proposed.
Cobalt-Dispersed Reduced Graphene Oxide Nanocomposite for the Selective lectrochemical Detection of Methyl Nicotinate

Methyl nicotinate (MN) is an important tuberculosis biomarker, and can be effectively measured using electrochemical methods. In this study, we have developed a novel N-doped phenolic polymer nanocomposite in situ dispersed with reduced graphene oxide and cobalt (Co)-nanoparticles as a sensor electrode (Co-rGO/PC). Co-nanoparticles were used for the MN recognition. Carbonization was performed for the reduction of GO and the synthesis of Co-nanoparticles. The prepared electrode materials were characterized using SEM, EDS, EIS, and CV. Tested using differential pulse voltammetry, Co-rGO/PC showed its pplicability (RSD < 6%) over 0.05–20.0 mg L−1 MN concentration with high sensitivity (S/N ratio = 3). The present method and materials can also be used for the development of sensors for the other biomarkers.
Water resistance, mechanical, and morphological characteristics in polyamide-6/zirconium phosphate nanocomposites

Polyamide-6/organointercalated zirconium phosphate nanocomposites (PA-6/ZrPOct) were prepared by melt extrusion. The synthesized lamellar ZrP was expanded with octadecylamine at different amine:phosphate ratio, and its influence was evaluated by tensile test, melt flow rate, water absorption, rheology, scanning electron microscopy, and wide-angle X-ray diffraction. For all nanocomposites, the increase of modulus and decrease of elongation at rupture were observed. The decrease in water uptake was observed as the amine/phosphate increase, indicating that the presence of the amine reduces the hydrophilic nature of PA-6. Rheology revealed by pseudoplasticity indices that the nanofillers dispersion was homogeneous in all nanocomposites. Wide-angle X-ray diffractometry analysis showed that the characteristic basal spacing peak of pristine ZrP was absent for ZrOct 1:1 and 2:1. Also a high decrease in crystallinity was observed for PA-6/ZrOct 2:1 sample, which would be associated to plasticizing effect of octadecylamine avoiding crystallites formation. Evidences showed that structures with different degrees of intercalation and/or exfoliation could have been achieved.