Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation of Ultra-Thin Plasmonic Solar Cell for Efficency Enhancement

This article simulates ultra-thin plasmonic solar cell using Finite Element Method (FEM) in order to increase the efficiency of solar cell. This paper studied the change in thickness of silica dielectric layer (SiO2) and change in the kind of dielectric used as absorbent. Finite element method that superior that other methods and physical devices that divided into smaller elements are used in order to solar cell simulation. In these method electromagnetic problems are solved by time domain method or frequency method. Since efficiency of ultra-thin solar cells is low due to its low thickness, absorption of light in cell and efficiency can be increased by using metal nanowires in cell structure. Because metal nanowires support surface plasmons polariton that are electromagnetic waves paired with collective fluctuations in metal surface. It is shown that by changing thickness of absorbent material and change in dielectric material, light absorption and gain can be increased.
An integrated Young interferometer based on UV-imprinted polymer waveguides for label-free biosensing applications

We demonstrate a polymer rib waveguide Young interferometer sensor fabricated by UV-imprinting. An inverted rib waveguide structure was utilized in order to simplify the fabrication process. In this configuration grooves are formed on the under cladding layer by UV-imprinting and core material is spin coated on top to fill the grooves. Glucose water solution was used to characterize the sensor response against ambient refractive index changes. The sensing responses correspond linearly with the refractive index change of glucose solutions with a detection limit of about 10-5. To verify the capability of the polymer sensor for biosensing, an immunoassay was performed with c-reactive protein (CRP) and human CRP specific antibody adsorbed on the waveguide surface as a receptor. The CRP solution in PBS (phosphate buffered saline) buffer with a concentration of 2 µg/ml (16 nM) resulted in an obvious response which was over a couple hundred times of the noise level. Based on these values, a detection limit of about 2.4 pg/mm2 was found for the surface sensing of molecular adsorption. With the proposed waveguide configuration, the fabrication of polymer sensors can be ultimately transferred to roll-to-roll mass production to produce low-cost disposable sensors.
Speci fi c Inhibitor of Pf CDPK 4 Blocks Malaria Transmission : Chemical-genetic Validation

Kayode K. Ojo, Richard T. Eastman, RamaSubbaRao Vidadala, Zhongsheng Zhang, Kasey L. Rivas, Ryan Choi, Justin D. Lutz, Molly C. Reid, Anna M. W. Fox, Matthew A. Hulverson, Mark Kennedy, Nina Isoherranen, Laura M. Kim, Kenneth M. Comess, Dale J. Kempf, Christophe L. M. J. Verlinde, Xin-zhuan Su, Stefan H.I. Kappe, Dustin J. Maly, Erkang Fan, and Wesley C. Van Voorhis Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle; Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland; Department of Chemistry, Department of Biochemistry, and Department of Pharmaceutics, University of Washington, Seattle; Seattle Biomedical Research Institute, Washington; and Global Pharmaceutical R&D, AbbVie, North Chicago, Illinois
Chapter 4 Eosinophil differentiation in the bone marrow is inhibited by T cell-derived IFN

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Evaluation of fermented locust bean meal (Parkia biglobosa) as replacement to soybean meal on production performance, blood profile and gut morphology of broiler chicken

The high cost of soybean meal, and competition as food between human and animal have necessitated search for alternative plant protein source in poultry diet. Eight weeks trial was carried out on the evaluation of fermented locust bean meal (FLBM) as replacement for soybean meal (SBM) in broiler production. Ninety days old broilers were allotted randomly to three treatment diets, replicated three times with 10 birds per replicate. Diets I (control) did not contain FLBM, diets II and III had 50 and 100% FLBM inclusions respectively as replacement for soybean meal in both starter and finisher phases. At the end of finisher phase, 4 birds were randomly selected per replicate for analyses of blood samples and evaluation of internal organs and carcass characteristics. At starter phase, body weight was not significantly affected (P>0.05) by treatment diets among experimental groups. The feed intake was lower in diet III, and feed conversion ratio was better in diet I significantly (P<0.05). Mortality of birds on diet III was higher significantly (P<0.05). At the finisher level, broilers fed diet I had higher weight gain and better feed conversion ratio, which was significantly (P<0.05) similar to diet II. The packed cell volume (PCV), haemoglobin, red blood cell and platelets of birds fed diet II were significantly (P<0.05) higher when compared to those fed diets I and III and were within normal range for healthy birds. Blood serum showed that glucose, aspartate transaminase, cholesterol and creatinine of birds fed diet III were significantly (P<0.05) higher than others. Measurement of organs revealed that liver, lungs, intestine, gizzard and heart of those fed diets II and III were significantly (P<0.05) similar and smaller than the control with no traces of inflammation. Conclusively, FLBM could replace up to 50% SBM in broiler diet without adverse effect on the production performance.
A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions

The Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) is a model-based EA framework that has been shown to perform well in several domains, including Genetic Programming (GP). Differently from traditional EAs where variation acts randomly, GOMEA learns a model of interdependencies within the genotype, i.e., the linkage, to estimate what patterns to propagate. In this article, we study the role of Linkage Learning (LL) performed by GOMEA in Symbolic Regression (SR). We show that the non-uniformity in the distribution of the genotype in GP populations negatively biases LL, and propose a method to correct for this. We also propose approaches to improve LL when ephemeral random constants are used. Furthermore, we adapt a scheme of interleaving runs to alleviate the burden of tuning the population size, a crucial parameter for LL, to SR. We run experiments on 10 real-world datasets, enforcing a strict limitation on solution size, to enable interpretability. We find that the new LL method outperforms the standard one, and that GOMEA outperforms both traditional and semantic GP. We also find that the small solutions evolved by GOMEA are competitive with tuned decision trees, making GOMEA a promising new approach to SR.
Atomic oxygen – a potent precursor in RF plasma induced liquid chemistry

The major active species produced by two argon plasma jets (RF jet and MHz jet) in liquids were identified by biological, physical and chemical methods and complemented with chemical kinetics modelling. Argon plasma led to the creation of hydrogen peroxide dominated chemistry in both jets while in argon-oxygen plasma atomic oxygen appeared to be dominant in case of the RF jet. The data suggest that atomic O reacts with Cl, yielding •Cl2 or ClO.
Current practice of building information modelling in the ningbo construction industry

101 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: ES2093017519/18©BEIESP  Abstract: Building Information Modelling (BIM) is a revolution in the construction industry. Shanghai Disneyland, Phoenix Media Centre in Beijing, Shanghai Tower are good examples of BIM projects in China. However, BIM maturity levels for medium and large size cities need to be identified in depth. This research has investigated the level of BIM maturity in Ningbo, China. A quantitative questionnaire survey was conducted and 112 replies were received from construction engineers. The maturity of BIM in Ningbo has been identified as a transit from level one to level two, i.e. from lonely BIM to federated model. However, the engineers’ BIM competence level in Ningbo is still at the infant stage. Further, lack of BIM industry standard has been identified as the most significant risk. To overcome these problems, the industry level BIM education/training programme and BIM standards need to be developed and provided.
Partial Parallel Dual Active Bridge Converter with Variable Voltage Gain for SOEC/SOFC System

Fuel cells are becoming one of the promising devices in distributed generation (DG) systems due to their modularity, low or zero pollution and dispatchability. As one of the fuel cell technologies, solid oxide electrolysis cell/solid oxide fuel cell (SOEC/SOFC) has gained more and more attention owing to their relatively high efficiency. However, design of the interface system for SOEC/SOFC is challenging because of the current-dependent and low stack voltage, the slow cell dynamics and transient response, and the asymmetrical power characteristic of SOEC/SOFC. In this paper, a self-circulating modulation (SCM) is proposed for the partial parallel dual active bridge (P2DAB) converter. The SCM makes the voltage gain of the P2DAB converter variable, given the inherent high voltage gain characteristics of the topology itself, the P2DAB converter with SCM can thereby address the current-dependent and low stack voltage issues of SOEC/SOFC. Moreover, by using a SOFC-Parallel-SOEC-Series interface architecture, the asymmetrical power characteristics of SOEC/SOFC do not degrade the efficiency of the P2DAB converter. Finally, the analysis of the proposed SCM is verified on a 1MHz, 500W, 400V/50V, GaN-based P2DAB converter.
Tunable defect interactions in classical and quantum solids

Wolfgang Lechner, 2, ∗ Fabio Cinti, † and Guido Pupillo ‡ Institute for Quantum Optics and Quantum Information, Austrian Academy of Sciences, 6020 Innsbruck, Austria Institute for Theoretical Physics, University of Innsbruck, 6020 Innsbruck, Austria National Institute for Theoretical Physics (NITheP), Stellenbosch, South Africa IPCMS (UMR 7504) and ISIS (UMR 7006), Université de Strasbourg and CNRS, Strasbourg, France (Dated: February 17, 2015)
Design and Implementation of Large Mass Information Management System

The design and implementation method of large mass information management system is researched, and the efficiency of information management is improved. In the design process of large mass information management system, a design method of the information management system is proposed based on weak clustering algorithm. The data are decomposed by the features of data in information management system, according to the data features, all data are fused. The data in the massive information management system are divided effectively, the calculation of the feature association probability is completed, classification of property elements is obtained through weak clustering method, so as to realize the normal operation of the large mass information management system. The experiment results show that, this method has high efficiency, it can meet the demand of information management system design.
Simulation of the October–November 2003 solar proton events in the CMAM GCM: Comparison with observations

The FTS instrument on SciSat‐I observed over 1 ppmv NOx in the lower polar mesosphere, in mid February of 2004, more than 100 times normal. Using a middle atmosphere GCM we investigate whether solar proton events or subsequent associated aurorae can explain the NOx observations. We find that the solar proton events produce insufficient amounts of NOx, less than 2 ppmv at 90 km. However, it is likely that intense aurorae associated with the Oct.–Nov. 2003 solar storms, and their aftermath, produced thermospheric values of NOx reaching hundreds of ppmv. In addition, from our simulations we infer that NOx rich air must have experienced unusually confined polar night descent in the mesosphere in December and January.
D C ] 2 5 Fe b 20 19 Energy Efficient Adversarial Routing in Shared Channels

We investigate routing on networks modeled as multiple access channels, when packets are injected continually. There is an energy cap understood as a bound on the number of stations that can be switched on simultaneously. Each packet is injected into some station and needs to be delivered to its destination station via the channel. A station has to be switched on in order to receive a packet when it is heard on the channel. Each station manages when it is switched on and off by way of a programmable wakeup mechanism, which is scheduled by a routing algorithm. Packet injection is governed by adversarial models that determine upper bounds on injection rates and burstiness. We develop deterministic distributed routing algorithms and assess their performance in the worst-case sense. An algorithm knows the number of stations but does not know the adversary. One of the algorithms maintains bounded queues for the maximum injection rate 1 subject only to the energy cap 3. This energy cap is provably optimal, in that obtaining the same throughput with the energy cap 2 is impossible. We give algorithms subject to the minimum energy cap 2 that have latency polynomial in the total number of stations n for each fixed adversary of injection rate less than 1. An algorithm is k-energy-oblivious if at most k stations are switched on in a round and for each station the rounds when it will be switched on are determined in advance. We give a k-energy-oblivious algorithm that has packet delay O(n) for adversaries of injection rates less than k−1 n−1 , and show that there is no k-energy-oblivious stable algorithm against adversaries with injection rates greater than k n . An algorithm routes directly when each packet makes only one hop from the station into which it is injected straight to its destination. We give a k-energy-oblivious algorithm routing directly that has latency O (
Bulk-like transverse electron mobility in an array of heavily n -doped InP nanowires probed by terahertz spectroscopy

Terahertz spectroscopy is employed for the noncontact measurement of transversal mobility in InP nanowires, wherein photonic effects (waveguiding of excitation beam and propagation of terahertz beam in a complex gradient environment) were successfully deconvoluted. Monte Carlo calculations accounting for electron localization and heavy doping were used to determine electron momentum relaxation time corresponding to electron mobility >= 3000 cm(2)/Vs, which is similar to that in bulk InP. The developed approach paves a way for noncontact determination of charge mobility in advanced semiconductor nanostructures.
Structural and functional leaf diversity lead to variability in photosynthetic capacity across a range of Juglans regia genotypes

Abstract Similar to other cropping systems, few walnut cultivars are used as scion in commercial production. Germplasm collections can be used to diversify cultivar options and hold potential for improving crop productivity, disease resistance and stress tolerance. In this study, we explored the anatomical and biochemical bases of photosynthetic capacity and response to water stress in 11 Juglans regia accessions in the U.S. department of agriculture, agricultural research service (USDA‐ARS) National Clonal Germplasm. Net assimilation rate (A n) differed significantly among accessions and was greater in lower latitudes coincident with higher stomatal and mesophyll conductances, leaf thickness, mesophyll porosity, gas‐phase diffusion, leaf nitrogen and lower leaf mass and stomatal density. High CO2‐saturated assimilation rates led to increases in A n under diffusional and biochemical limitations. Greater A n was found in lower‐latitude accessions native to climates with more frost‐free days, greater precipitation seasonality and lower temperature seasonality. As expected, water stress consistently impaired photosynthesis with the highest % reductions in lower‐latitude accessions (A3, A5 and A9), which had the highest A n under well‐watered conditions. However, A n for A3 and A5 remained among the highest under dehydration. J. regia accessions, which have leaf structural traits and biochemistry that enhance photosynthesis, could be used as commercial scions or breeding parents to enhance productivity.
Computing the clar number of nanotubes and other fullerenes

We exhibit a polynomial time algorithm that computes the Clar number of any nanotube. This algorithm can be easily extended to one that computes the Clar number of fullerene whose pentagon-clusters are all of even size. It is known that computing the Clar number of planar graphs is NP-hard. It is not known if computing the Clar number of fullerenes is a tractable problem. We show that the latter problem can be suitably approximated in polynomial time, and we also discuss the existence of fpt-algorithms for this important problem of Cheminformatics.
Learned Tactile Dynamics Candidate actions Sequence Prediction Compute Costs Choose Best Action Model Predictive Control

Touch sensing is widely acknowledged to be important for dexterous robotic manipulation, but exploiting tactile sensing for continuous, non-prehensile manipulation is challenging. General purpose control techniques that are able to effectively leverage tactile sensing as well as accurate physics models of contacts and forces remain largely elusive, and it is unclear how to even specify a desired behavior in terms of tactile percepts. In this paper, we take a step towards addressing these issues by combining high-resolution tactile sensing with data-driven modeling using deep neural network dynamics models. We propose deep tactile MPC, a framework for learning to perform tactile servoing from raw tactile sensor inputs, without manual supervision. We show that this method enables a robot equipped with a GelSight-style tactile sensor to manipulate a ball, analog stick, and 20-sided die, learning from unsupervised autonomous interaction and then using the learned tactile predictive model to reposition each object to user-specified configurations, indicated by a goal tactile reading. Videos, visualizations and the code are available here: https://sites.google. com/view/deeptactilempc
Investigation of hot surface ignition of a flammable mixture

Experimental and numerical studies are conducted to analyze hot-surface ignition of a flammable mixture. The experimental setup, equipped with temperature diagnostics and schlieren imaging, utilizes a glow plug to initiate ignition in a flammable mixture. The numerical simulation utilizes a tabulated chemistry approach to include detailed reaction kinetics for the fuel including low-temperature reaction pathways. The numerical approach is validated with a test case for a homogenous reactor and simulations of the experimental setup are carried out. Experimental data and simulation results are analyzed to determine minimum surface temperature for ignition and ignition delay time, and their dependence on fuel-air equivalence ratio and the thermal plume generated prior to ignition. A timescale analysis is conducted to understand the relative importance of convective, diffusive processes induced by the thermal plume, and chemical kinetics with and without the inclusion of low-temperature reaction pathways to yield the rate limiting processes leading to ignition.
Competition for inorganic nutrients among five species of Amazonian phytoplankton in batch culture : Both nitrate

Competitive abilities for inorganic nutrients of five Amazonian phytoplankton species (Closterium libellula, Trachelomonas hispida, Navicula sp., Pinularia subcapitata and Lyngbya sp.) were tested under batch culture conditions. Data were collected from monocultures in order to fit models of growth rate (Monod-like for nitrogen, and Drooplike for internal phosphorus) and nutrient uptake (Monod-like in every case). A multinutrient interspecific competition model was built, and its accuracy was tested with data from a competition experiment using all the species together in batch culture. Competitive ability for nitrate differed quite a lot among these species. However, competitive abilities for phosphate storage did not show great variation according to Qmin values. Winners of competition resulted to be those species with lower Ks values for nitrate (P. subcapitata and Lyngbya sp.) and among these, the model showed that the best competitor for phosphorus would dominate (Lyngbya sp.). This shows that phosphorus storage was the most successful strategy among a group of the two best competitors for nitrate. However, in the competition experiment, both Competition for inorganic nutrients among five species of Amazonian phytoplankton in batch culture: Both nitrate and phosphorus accounts species were apparently coexisting at the end. Since model predicted dominance of Lyngbya sp. alone, it is most likely that the duration of the experiment was not enough to show exclusion of P. subcapitata. Alternative explanations would be that some remineralization of nutrients could have occurred, or that some unknown chemical interactions (allelopathy) were influencing our results.
Administrative Supervisors and Nursing Unit-Based Managers: Collaboration and Job Satisfaction

Effective communication and collaboration are critical for a healthy nurse practice environment and safe patient care. The Institute of Medicine (IOM, 2004) report, Keeping Patients Safe: Transforming the Work Environment for Nurses, reminds all nurse leaders about their role in creating practice environments with effective communication and collaboration. Yet, in a recent nationwide study, administrative supervisors, the nurse leaders on the evening, night, and weekend shifts, articulated a “disconnect,” poor communication, and lack of collaboration with the daytime nursing leadership team (Weaver & Lindgren, 2017). The supervisors explained that communication with these daytime leaders is by email during their shift because they typically don’t see them (Weaver, 2016). Further, the supervisors are not able to attend the daytime leadership meetings due to the hours they work (Weaver & Lindgren, 2017). For more than 100 years, the administrative/house supervisor role has existed in hospitals and continues to be the current model of off-shift management in acute care hospitals (Editor’s Miscellany, 1901). During these times, the nursing leadership team consisting of nursing unitbased managers, directors, and administrators are not typically present in the hospital. Since research was lacking on the administrative supervisor role, the aforementioned nationwide, qualitative study was conducted to explore the administrative supervisors’ perspectives of their managerial practices and how these practices contribute to nurse and patient safety (Weaver & Lindgren, 2017; Weaver, Lindgren, Cadmus, Flynn, & Thomas-Hawkins, 2017). The overall theme identified in the study was the administrative supervisor does whatever is necessary to get the patients, staff, and hospital safely through the shift (Weaver & Lindgren, 2017). Regardless of the size or location of the hospital, the findings revealed the administrative supervisors Administrative Supervisors and Nursing Unit-Based Managers: Collaboration and Job Satisfaction