Miracle-dz/UniFAR-FTUs huggingface dataset:
Genotype and Variable Nitrogen Effects on Tuber Yield and Quality for Red Fresh Market Potatoes in Minnesota

Potato (Solanum tuberosum) production generally requires added nitrogen (N), which is costly and potentially environmentally damaging. One path to limiting N application is breeding N efficient potatoes. Effective use of nitrogen, across crops, is typically characterized in terms of yield. However, tuber quality characteristics affect potato marketability, especially for red fresh market potatoes. While optimal N rates maximize yield, the genotype-specific effect of N on tuber quality traits is unclear. In order to highlight quality traits effected by N, identify germplasm with lower N requirements, and determine optimal N rates for red-skinned clones, we conducted a variable N rate experiment over two years in Minnesota. Eight red fresh market genotypes were grown in RCB factorial design with five nitrogen application rates ranging from 0 to 81.6 kg/ha. Best linear unbiased estimates were calculated for yield, skin color, skin set, and tuber shape. The models for yield and quality traits included significant genotype by N rate interaction effects, suggesting that there is variation in the way clones respond to N. Established varieties were more responsive to added N than breeding lines. Similarly, established varieties tended to produce more oblong tubers under higher N conditions, while the breeding lines remained round. Color traits also responded to N in a genotype-specific way, while the interaction effect for other traits depended on unmeasured environmental factors. No clone exhibited increased yield above the 54.4 kg/ha rate. Our results suggest that the 81.6 kg/ha rate produced less favorable phenotypes for all traits.
Prediction of degree student achievement analysis

Accurately estimating student upcoming achievement based on their going on educational records is critical for successfully bringing out needful pedagogical to guarantee student on time acceptable graduation. There has been ample of literature survey done on estimating in student achievement analysis, it has been faced certain problems while collecting the student data such as Student having low financial background selected course, Some courses give less detail which leads to formulating imprecise decisions and student upcoming scores should be included. In this proposed system, a machine learning function is build to estimate student achievement in graduation programs to eliminate above challenges. In this proposed system, for estimating student achievement a Logistic Regression and Extreme Gradient Boosting (XgBoost) algorithm are used. The data is collected from various junior college with computer science course as elective dataset of India to estimate student’s achievement for selecting a relevant course.
Active Fraction as Anti-obesity by in Vitro toward Pancreatic Lipase Activity

Fruit extract of asamgelugur (Garciniaatroviridis) can be used as an anti-obesity by in vitro against pancreatic lipase activity. The pancreatic lipase plays a role in degradation of lipids into fatty acids, as pancreatic lipase activity is hampered, the absorption of monoglycerides in the human body decreases. The purpose of the research was to identify and evaluate the Garciniaatroviridisfruit fraction as pancreatic lipase inhibitor. The extracted fruit with percolation method showed an inhibitory activity of 44.16% at 500 µg/mL. Xenical® as the positive control exhibited an inhibitory activity of 43.65% at 25 µg/mL. The best result from partitioning was using BuOH solvent with inhibitory activity of 56.42% at 100 µg/mL, whereas from Xenical® was 50.35% at 50 µg/mL. The best fraction from BuOH fractionation eluting with CH2Cl2:MeOH revealed an IC50 value of <10 µg/mL, or was better than Xenical®. Therefore, E fraction from BuOH solvent of garciniaatroviridisextract is potential as a pancreatic lipase inhibitor.
Low loss waveguide-based Butler matrix with iris coupling control method for millimeterwave applications

This paper proposes a low loss 4 × 4 Butler matrix based on rectangular waveguide cavity resonators technology for millimeterwave beamforming network using iris coupling method. This method has the advantage of controlling the electrical fields and the coupling factor inside a complex medium such as waveguide cavity resonators. The coupling factor of 6 dB for 4 × 4 Butler matrix is achieved by tuning the iris coupling k-value between the waveguide cavity resonators. Thus, avoiding a higher phase difference losses and component losses at upper millimeterwave bands. To validate the proposed method, CST software simulations are performed under several iris coupling k-values to achieve a 6 dB coupling factor. Then, the proposed 4 × 4 Butler matrix is 3D metal printed using selective laser melting (SLM) technique. The measured reflection and isolation coefficients are observed below −10 dB, with coupling coefficients ranging between −6 and −7 dB. The phase differences of −42.02°, 42.02°, −130.95°, and 133.3° are achieved at the outputs. It confirmed that using this proposed method has the superiority over the conventional microstrip and waveguide coupling methods by a 1 dB coupling factor loss and a 3° phase difference error.
Delft University of Technology Thermodynamic assessment of the Na-O and Na-U-O systems Margin to the safe operation of SFRs

A thermodynamic model for the Na-O system was developed for the first time using the CALPHAD method after review of the structural, thermodynamic, and phase diagram data available on this system. Differential Scanning Calorimetry measurements were moreover performed to assess the phase equilibria and liquidus temperature in the Na2O-Na2O2 composition range. A CALPHAD model for the Na-U-O system was furthermore developed on the basis of both reviewed experimental data, and thermodynamic functions of the sodium uranates derived by combining ab initio calculations and a quasi-harmonic statistical model. The phase equilibria in this ternary system are particularly relevant for the safety assessment of the nuclear fuel-sodium coolant interaction in Sodium-cooled Fast reactors (SFRs). The model predicts the stability of the ternary phase field UO2-Na3UO4-Na4UO5, which is consistent with the most recent literature data. Further optimization was moreover performed to fit the sodium partial pressures measured experimentally in the NaUO3-Na2U2O7-UO2 and NaUO3-Na2UO4-Na2U2O7 phase fields, yielding an overall consistent description. Finally, the oxygen content required to form pentavalent Na3UO4 and hexavalent Na4UO5 in liquid sodium at 900 K were calculated to be 0.7 and 1.5 wppm, respectively, which are levels typically encountered in SFRs. 2017 The Authors. Published by Elsevier Ltd. This is anopenaccess article under the CCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
An immersed boundary method with y+‐adaptive wall function for smooth wall shear

Immersed boundary (IB) method with a wall function for high Reynolds number flows is attractive when the boundary is complex and evolving. However, when combined with IB method, existing wall functions cannot produce smooth wall shear stress, which is important for many processes such as erosion. The root cause is the discontinuity between the log‐law and laminar layers in most wall functions. A wall function in IB methods is typically enforced through IB cells. However, for complex and evolving boundaries, IB cells can be located in either the log‐law layer or the laminar layer, which follow different laws. To remedy this, a new method is introduced with a y+‐adaptive strategy. The idea is that when an IB cell is too close to an IB, it is replaced by a neighboring fluid cell further away from the boundary. Consequently, all IB cells are in the log‐law layer. The resulting wall shear stress is much smoother. This adaptive strategy is a compromise between how accurate the location of an IB wall is represented and the smoothness of simulated wall shear. Example cases in 1D, 2D, and 3D show the y+‐adaptive wall function produces results compared well with theory and experiments.
Computerized Text Analysis on Self-Description Text to Get Student’s Prevailing, Confidence, and Drives

Using a sample of 26 participants, we asked the students to prepare a text in written self-description at the end of the final path presentation in the sixth semester. One interesting thing is the relationship between personality differences and the types of words that people use. Recent studies covers an observing the relationship between personal qualities and the use of language in creating self-description. Text files are organized for transcription LIWC analysis to calculate the percentage of clout, authentic, and drives that student’s use. The results supported this possibility: LIWC’s clout, authentic, and drives dictionaries can be used as indicators of the student’s prevailing, confidence, motives and needs, we found that when calculated on written text, LIWC scores were connected with language dimension and psychology issues. These findings recommend that LIWC clout, authentic, motives, and needs dictionaries possibly will catch self-reported subjective emotion experience when applied to everyday activities. To enrich students’ confidence, power, motives, and needs toward the psychology issues faced by the students, students should be stimulated to discover the field of psychological processes and linguistic patterns by detecting their emotional and perceptual experiences.
Understanding the impact of marine iodine chemistry on climate and air quality

Halogens have an established impact on atmospheric composition, but further quantification of their global air-quality and climatic impacts is needed. This thesis documents the development of a simulation to represent the atmospheric chemistry of iodine within a wider halogen framework. Following the development of the iodine simulation (Chap- ter II-III), a coupled model is presented (Chapter IV) that brings together and builds upon previous halogen (Cl,Br) studies in GEOS-Chem. Finally this model is used to investigate impacts of halogens on climate (Chapter V), and iodine sourced aerosol (Chapter VI). Significant implications of halogens on oxidants are shown. Iodine alone reduces the tropospheric O3 burden by ∼9 %, with “coupled” halogens (Cl,Br,I) reducing it by ∼15 %. Global mean OH concentrations decrease by 4.5 % on inclusion of halogens. However, this is due to competing factors. The O3 loss decreases primary production, whereas conversion of HO2 to OH via photolysis of hydrohalic acids tends to increase it. Chlorine provides a potent new oxidant in the model. For some VOCs (C2H6, (CH3)2CO) Cl oxidation provides up to ∼20 % of their sink. The effect of halogens on the tropospheric O3 radiative forcing (RFTO3) is investigated. Halogens cause a feedback effect, dampening the increase of tropospheric O3 between the pre-industrial and the present day by ∼20 %, therefore reducing RFTO3. Aerosol-phase iodine is also investigated and shown to regionally contribute up to 101 % of DMS sourced sulfate aerosol mass. In the pre-industrial, iodine aerosol can regionally contribute up to 21 % of the sulfate mass. Iodine and halogen chemistry in general are required to understand tropospheric composition and processes. Uncertainty in the emissions, chemistry and loss processes for halogens is high. Further in-situ observations and elucidation of key parameters in laboratories are urgently needed to refine our understanding of this important aspect of atmospheric chemistry.
Highly dispersed Pt nanoparticles supported on carbon nanotubes produced by atomic layer deposition for hydrogen generation from hydrolysis of ammonia borane

Uniformly dispersed Pt nanoparticles with controlled size and loading supported on multi-walled carbon nanotubes (CNTs) are synthesized by atomic layer deposition (ALD) with (methylcyclopentadienyl)trimethylplatinum (MeCpPtMe3) as the Pt precursor and ozone as the reactant gas. All the ALD-prepared Pt/CNT catalysts with various cycle numbers show excellent catalytic activities towards hydrolysis reaction of ammonia borane (AB), and especially the Pt/CNT catalyst produced with 20 ALD cycles exhibits the highest hydrogen generation rate among the ALD-prepared catalysts, with a total turnover frequency value as high as 416.5 molH2 molPt−1 min−1. The porous TiO2 overcoat further improves the durability of the Pt/CNT catalysts while preserving their catalytic activities.
A Low-Cost and Efficient Microstrip-Fed Air-Substrate-Integrated Waveguide Slot Array

A microstrip-fed air-substrate-integrated waveguide (ASIW) slot array with high efficiency and low cost is presented. The design cuts out the substrate material within SIW, replaces the vias with metallic sidewalls, and uses a simple microstrip line-waveguide transition to feed the slot array. Radiating slots are cut on a 5-mil brass-plate, which covers the top of the substrate cutout to resemble a hollow waveguide structure. This implementation provides a simple and efficient antenna array solution for millimeter-wave (mm-wave) applications. Meanwhile, the fabrication is compatible with the standard printed circuit board (PCB) manufacturing process. To demonstrate the concept, a 4-element ASIW slot array working at the n257 band for 5G communications was designed using low-cost Rogers 4350B and FR4 substrate materials. Our simulation result shows 18% more efficiency than a conventional SIW slot array using the same substrate. The fabricated prototype shows |S11| < −15 dB over 27–29 GHz and a peak realized gain of 10.1 dBi at 28.6 GHz. The design procedure, prototyping process, and design analysis are discussed in the paper.
Ranking of 38 prokaryotes according to their uranium uptake capacity in aqueous solutions: an approach from order theory through the Hasse diagram technique

ABSTRACT Uranium contamination is of global concern and several approaches have been applied to cleanse U-contaminated ecosystems. Among them, biotechnological techniques using microorganisms have proven to be eco-friendly. However, knowing which of them behave better for U trapping is still an open question. In this study, a general and a detailed comparison of prokaryotes, differentiated by growth and U uptake conditions, was performed. The general comparison was run over 38 species characterized by different conditions and a subset of 18 bacteria having equal conditions was compared in detail. In both cases, the species were characterized by their percentage of U removal, uptake capacity, and time required for removing U. The methodology used was the Hasse diagram technique, suitably adjusted to address the issue of ordering objects (microorganisms) whose attributes contain interval values. Microorganisms were ranked and a stable top-five of bacteria for U trapping from aqueous systems was obtained: Bacillus licheniformis ATCC 14580, Bacillus mucilaginosus ACCC 10012, Pseudomonas MGF-48, Streptomyces sp. , and Pseudomonas sp. EPS-5028. The results show that neither the Gram nor the taxonomic classification determines uptake capacity for the species studied. The method here described can be further applied to other attributes of relevance for the selection of optimal microorganisms, e.g. economical ones.
Ambiente alimentar em um campus universitário: desenvolvimento e análise de instrumento para avaliação de estabelecimentos comerciais

Introducao : O ambiente alimentar do consumidor apresenta caracteristicas que podem interferir nas escolhas alimentares, favorecendo ou limitando a promocao da alimentacao saudavel. Para identificar essas caracteristicas, sao necessarios instrumentos especificos, apropriados e testados. Objetivo : Avaliar a reprodutibilidade do Questionario para Avaliacao do Ambiente Alimentar em Estabelecimentos que Comercializam Refeicoes e Lanches Prontos para Consumo (QAA), desenvolvido com o intuito de identificar as barreiras e os facilitadores para escolhas alimentares saudaveis em campus universitario. Metodos : O QAA contem 86 questoes divididas em descricao do servico, disponibilidade de itens e barreiras e facilitadores para a alimentacao saudavel. A reprodutibilidade foi avaliada usando coeficiente kappa, p<0,05. Estimou-se escore baseado no QAA, com pontuacao maxima de 36 pontos. A consistencia interna do instrumento final foi verificada por meio do alfa de Cronbach, adotando α= 0,70 como o minimo aceitavel. Resultados : A reprodutibilidade foi elevada ou boa para 64% das questoes, com media do kappa=0,72. A media do escore do QAA foi de 15,4 (DP=4,4), destacando-se que os restaurantes (escore medio=18,8) apresentaram pontuacoes mais elevadas quando comparados aos outros tipos de estabelecimentos (p-valor<0,01). Observou-se que 67% dos restaurantes e 13% dos quiosques/trailer estavam no tercil 3 do escore do QAA. Conclusao : O questionario foi considerado adequado para avaliar ambiente alimentar de servicos de alimentacao comerciais, com capacidade de discriminacao para inferir sobre o potencial para a promocao da alimentacao saudavel.
Probabilistic model of wind power output considering temporal autocorrelation and cross-correlation with forecast output

Wind power output possesses temporal autocorrelation and cross-correlation with the forecast output. However, these two types of correlations are quite different. Existing studies fail to model them simultaneously, which reduces the accuracy of the conditional probability distribution of wind power output and has a negative effect on the economic operation of wind power systems. Therefore, this paper proposes a method for modeling the conditional probability distribution of wind power output that can take both correlations into account. The copula function is used to separately model the dependency between wind power outputs and the uncertainty of actual/forecast output. Based on pair-copula theory, the modeling of the conditional probability distribution of wind power output with respect to the two correlations is broken down into the chain transfer process of the traditional two-dimensional copula function. The probability distribution function of wind power output can be obtained as long as enough historical data is available. No specific forecast techniques are required. Using the actual wind field output data in Belgium, the proposed method is compared with the methods that only consider one of the correlations to prove its effectiveness.
Advances in two-photon fluorescence microscopy for high-resolution anatomical and functional imaging of cell populations in the intact brain

Die Zwei-Photonen Mikroskopie hat die hochauflosende Untersuchung einzelner Zellen im Gehirn anasthesierter Tiere ermoglicht. Die vorliegende Arbeit beschreibt die Weiterentwicklung dieser Technik in Richtung Zellpopulationsstudien im Neokortex von freilaufenden Nagetieren. Insbesondere wurden zwei Miniaturmikroskope, basierend auf der Fluoreszenzanregung durch eine photonische Kristallfaser beziehungsweise durch ein koharentes Faserbundel, entwickelt und deren Einsatzfahigkeit anhand von in vivo Messungen verifiziert. Eine sinnvolle biologische Anwendung dieser Mikroskope setzt jedoch geeignete Fluoreszenzfarbemethoden voraus. Daher wurden zudem Methoden zur Farbung dreier Zellpopulationen entwickelt. Insbesondere wurden Sindbis- und Lentiviren zum Transfer und der gerichteten Expression genetisch kodierter Fluoreszenzindikatoren in Neuronen eingesetzt. Weiterhin wurde eine Methode zur spezifischen Farbung von Astroglia entdeckt und die transgene Expression von fluoreszierenden Proteinen zur Mikrogliazellfarbung eingesetzt. Mit einem Standard-Zwei-Photonen Mikroskop konnte gezeigt werden, das sich Neurone und Astroglia im adulten Gehirn morphologisch kaum verandern, wahrend Mikrogliazellen ihre Gestalt dynamisch variieren und schnell auf lokale Hirnverletzungen reagieren. Zudem konnte die spezifische Kalziumdynamik von Neuronen und Astroglia im intakten Gehirn visualisiert werden. Diese Fortschritte im Bereich Miniaturisierung und Fluoreszenzfarbung lassen die optische Messung von verhaltensabhangiger Netzwerkaktivitat moglich erscheinen.
Blockchain-based Searchable Proxy Re-encryption Scheme for EHR Security Storage and Sharing

The sharing of electronic health records (EHR) has shown significant advantages in the accurate diagnosis of patients and the development of medical institutions. However, due to the privacy and sensitivity of medical data, it is easy to cause security issues such as difficulty in data sharing among different medical institutions and easy leakage of data privacy. Because the blockchain has the characteristics of non-tampering, anonymity, and decentralization. We propose a blockchain-based searchable proxy re-encryption scheme for EHR security storage and sharing. First, we use blockchain and cloud server to store encrypted EHR together to prevent EHR from being tampered with and leaked. Secondly, we use a certificateless encryption and proxy re-encryption based on identity and type scheme as a data sharing protocol. Meanwhile, searchable encryption technology is used to generate a keyword index. Moreover, the proxy node is selected by the delegated proof-of-stake (DPOS) consensus algorithm, which ensures the privacy, immutability and security. It realizes the safe access of third-party data users to medical health data. Finally, security analysis and evaluation show that our scheme can resist identity disguise and replay attacks. In addition, it has stronger security and higher efficiency.
Muon Trigger using Deep Neural Networks accelerated by FPGAs

Accuracy and latency are crucial to the trigger system in high luminosity particle physics experiments. We investigate the usage of deep neural networks (DNN) to improve the accuracy of the muon track segment reconstruction process at the trigger level. Track segments, made by hits within a detector module, are the initial partial reconstructed objects which are the typical building blocks for muon triggers. Currently, these segments are coarsely reconstructed on FPGAs to keep the latency manageable. DNNs are ideal for these types of pattern recognition problems, and so we examine the potential for DNN based track segment reconstruction to be accelerated by dedicated FPGAs to improve both processing speed and accuracy for the trigger system.
Analytic design methodology for flexible wing parametrization and spanwise load estimation

Presented is an analytic study of aerodynamic loading along a high aspect ratio wing, typical for airliners, under passive aeroelastic deformation. Such a highly non-planar, curved wing is feasible using the latest composite material technology, and is expected to enhance airliners aerodynamic performance at transonic cruise conditions, given it allows lower induced drag, similar to a wingletted wing. Also, gust and manoeuvring loads can be partially alleviated by the structure elasticity, hence the concept is of great interest for the airliner industry. A major problem to designing highly flexible wings is their constantly shifting shape and, as a result, their hardly predictable, non-constant lift force generated. This paper provides an attempt to precisely estimate load distribution along the statically inflected wing at different stages of its deformation, using mathematical parametrization of the curved wing shape to relate its geometry to aerodynamic loading and structural stiffness in a closed form function. This is achieved using the geometric dependency of local angles of attack on local wing curvatures, therefore load distribution is a function of the parametrized deformed wing shape. Spanwise load distributions in turn can be coupled with structural stiffness distributions using cantilever beam theory.