Miracle-dz/UniFAR-FTUs huggingface dataset:
Extracting Keywords with Modified TextRank Model

: [ Objective ] This study aims to improve the single document keyword extraction algorithm by adding the world knowledge vector from the Wikipedia to the TextRank model. [ Methods ] First, we created a new word embedding model based on the Word2Vec model with Wikipedia’s Chinese data. Second, we clustered the nodes of TextRank wordgraph to adjust the voting importance of each cluster. Third, we calculated the random walk probability with additional factors of coverage and location. Finally, we got the node score with iterative computation of the transition matrix
That First Step: Engaging with Mathematics and Developing Numeracy.

Many resources have been created with the aim of helping children and adults overcome difficulties with mathematics and to develop or improve their numeracy. However, these are only used once the individual has decided to act – to do something to improve their mathematics and numeracy. Unfortunately, someone who knows that they need to improve their mathematics or strengthen their numeracy is not always accessing these resources. In this theoretical paper, I explore reasons why individuals may not engage with resources designed to help them develop their mathematical understandings and numeracy and identify the need to address how to get individuals to take that first step.
Development of Graphene Oxide-Trihexyphenidyl Hydrochloride Nanohybrid and Release behavior

The demand of an efficient nanocarrier in drug delivery, graphene and its derivatives are emerging as a rising star due to its remarkable chemical and structural properties. Graphene oxide (GO) has high surface area and ability to load high amount of aromatic drugs. Hence, the objective of the research was to load Trihexyphenidyl hydrochloride (THP), antiparkinsonian drug on GO ultrasonically by π-π stacking interaction. GO was synthesized by the modified Hummer method. The conjugation of GOTHP was generated by using Design-Expert Software and release study of GO-THP nanohybrids was performed in the dissolution tester by using a dialysis membrane. By varying an amount of GO and THP, the effect on loading efficiency and drug release was studied. THP showed sustained release behavior with release efficiency of 89% to 98% over 8 h. GO-THP complex was characterized by UV-vis spectrophotometer, FTIR, FESEM and XRD analysis. GO-THP complex showed better-sustained release of the drug and can be useful for the reduction dose frequency as well as adverse effect with better patient compliance.
Research on Image Classification Algorithm of Haematococcus Pluvialis Cells

Haematococcus pluvialis has the highest content of astaxanthin and is recognized as the best biological source for astaxanthin production in nature. Its culture stage is mainly divided into cell proliferation stage and astaxanthin accumulation stage. Because the color and cell radius of Haematococcus pluvialis cells are different at different stages, an efficient and accurate image classification algorithm is sought to identify the growth stage of Haematococcus pluvialis. In response to this problem, this paper selects three algorithms (C4.5 decision tree, SVM, KNN) with more balanced complexity and accuracy in the machine learning image classification algorithm to identify Haematococcus pluvialis cells, and explores the application of Pluvialis pluvialis cells. Algorithms for image classification of algal cells. The image classification is completed by extracting the features of the cell image and calculating the number of pixels in the image, and then using the corresponding algorithm to train the model. The experimental results show that the decision tree algorithm is significantly better than the other two algorithms, and the classification accuracy is about 97%. It can be seen that the classification model trained by the decision tree algorithm achieves a good classification effect, and provides an effective method for solving the problem of Haematococcus pluvialis cell image classification.
Optimization of 3D Alginate Scaffold Properties with Interconnected Porosity Using Freeze-drying Method for Cartilage Tissue Engineering Application

Alginate scaﬀoldsare extensively usedin bone andcartilage tissue engineeringbecause of theirchemical similarity tothe extracellular matrix. However, for the successful replacement of hard tissue, the properties of alginate scaﬀolds should be tailored. In this study,fortheﬁrsttime,weoptimizedtheporosity,degradationrate,mechanical,andosteogenicpropertiesof alginatescaﬀoldsby the freeze-drying method. The freeze-drying method was used to prepare diﬀerent concentrations of alginate scaﬀolds (4, 8, and 16% (w/v)). Their porosity, mechanical properties, surface-wetting behavior, and osteogenic properties were characterized. The results showed that the 8% (w/v) alginate scaﬀold had an interconnected porosity of about 80%, a hydrophilic surface with a contact angle of water on the surface of 39º ± 0.56, and compressive strength of 2.7 MPa. This concentration of alginate also showed the degradation rate of 70% in Dulbecco’s Modiﬁed Eagle’s Medium (DMEM) with fetal bovine serum. The periodontal ligament stem cells culture results conﬁrmed that the 8% alginate scaﬀold had good biocompatibility and cell diﬀerentiation ability and it could enhance cell ingrowth and attachment. These results showed that the modiﬁed 8% (w/v) alginate scaﬀold is a good candidate in cartilage and bone tissue replacement.
Effect of the Atmospheric Pressure Cold Plasma Treatment on Tempranillo Red Wine Quality in Batch and Flow Systems

The demand for chemical-free beverages is posing a challenge to the wine industry to provide safe and healthy products with low concentrations of chemical preservatives. The development of new technologies, such as Atmospheric Pressure Cold Plasma (APCP), offers the wine industry the opportunity to contribute to this continuous improvement. The purpose of this research is to evaluate the effect of Argon APCP treatment, applied in both batch and flow systems, on Tempranillo red wine quality. Batch treatments of 100 mL were applied with two powers (60 and 90 W) at four periods (1, 3, 5, and 10 min). For flowing devices, 750 mL of wine with a flow of 1.2 and 2.4 L/min were treated at 60 and 90 W for 25 min and was sampled every 5 min. Treatments in batch resulted in wines with greater color intensity, lower tonality, and higher content in total phenolic compounds and anthocyanins, so that they were favorable for wine quality. Among the batch treatments, the one with the lowest power was the most favorable. Flow continuous treatments, despite being more appropriate to implement in wineries, neither led to significant improvements in the chromatic and phenolic wine properties nor caused wine spoilage.
Proposing Relation with Fracture strength of Masonry to Cement Percentage and Compressive strength of Mortar

In this study, relation between fracture strength of masonry with cement percentage and compressive strength of mortar have been tried to propose. Seven weight based mix ratios- 1:1-1:7 were taken into consideration. For the determination of compressive strength 50 mm cube samples and for the identification of shear strength masonry samples made by clay bricks were prepared. All tests were conducted after 28 days of casting. Finally, different relations, have been proposed; i) between cement percentage and compressive strength of mortar, ii) between cement percentage of mortar and fracture strength of masonry, iii) between compressive of mortar and fracture strength of masonry. Finally an overall relation is proposed where fracture strength of masonry is considered as a function of cement percentage and compressive strength of mortar.
INTEGRATION DES METHODES FORMELLES DANS LA SPECIFICATION, LA VERIFICATION ET LA VALIDATION DE MODELES DE SIMULATION A EVENEMENTS DISCRETS

RESUME : Ce travail présente une méthodologie d’intégration de méthodes formelles dans la spécification et l’analyse formelle des modèles de simulation à événements discrets avec le formalisme DEVS, dont l’implémentation se base sur les outils hétérogènes associés. Cette méthodologie s’appuie sur le formalisme DDML (DEVS Driven Modeling Language) et combine à divers niveaux de la hiérarchie de spécification introduite en théorie de la simulation, des méthodes formelles qui sont complémentaires pour cerner différentes vues (statiques, dynamiques, fonctionnels) d’un système.
An improved SiC-MOSFET model with focus on internal stray inductance and body diode stored charge for switching transients

Accurate switching transients modelling is important for SiC power converter layout optimisation. A SiC-MOSFET manufacturer model is used as a reference. Although the manufacturer model correctly represents device output and capacitance characteristics, there are discrepancies between modelled switching transients and experiment results. To improve the model, we propose a method to accurately model stored charge and use Ansys Q3D to model stray inductance inside device packaging. As a result, the model has been improved by 70% regarding VGS oscillation amplitude and 50% regarding current overshoot and overall transient behaviour in di/dt and dv/dt.
DIY Electromagnetic Phantoms for Biomedical Wireless Power Transfer Experiments

To perform biomedical Wireless Power Transfer experiments at UHF and microwave frequencies, a need exists for recipes and procedures to construct human tissue mimicking phantoms. This paper outlines the procedure for realizing body-mimicking phantoms and provides some recipes based on demineralized water, sugar (sucrose) and salt (NaCl). Even without using preservatives all samples made for this research maintained the dielectric characteristics for at least ten days when stored at room temperature. A procedure to construct a low-cost RG405 semi-rigid coaxial waveguide-based measurement probe and calibration method are discussed as well. The absolute error in obtained relative permittivity, using this probe, relative to using a Commercially Off The Shelf probe is less than 2.0.
Representación estructurada de compuestos orgánicos basada en autoencoders

En este trabajo proponemos la utilización de una red de tipo autoencoder para procesar compuestos orgánicos codificados en formato SMILES buscando evocar representaciones significativas en el espacio latente y utilizar estas representaciones para generar modelos de predicción de propiedades. Fueron utilizados 400.000 compuestos codificados mediante SMILES para el entrenamiento del autoencoder, dónde se encontró que una dimensión latente de 25 elementos logra reconstruir los datos adecuadamente. A partir de esto, se desarrollaron modelos de predicción para las 8 propiedades termodinámicas de interés (presión crítica, temperatura crítica, volumen crítico, temperatura de fusión, temperatura de ebullición y las entalpías de vaporización, fusión y formación). Para la regresión se utilizaron 1079 sustancias cuya capacidad de predicción también fue contrastada con el modelo de Joback y Reid, referencia en predicción de propiedades. El modelo propuesto presenta errores del 1% al 6% para las distintas propiedades (exceptuando el punto de fusión) que mejoran notablemente respecto del modelo de referencia que posee valores en el entorno de (3-9) % para las mismas propiedades. Respecto del punto de fusión, se observa que ambos modelos tienen dificultades en la estimación y que podría sugerir que se requieren otros indicadores para representar este fenómeno.
The influence of textile substrate on the performance of multilayer fabric supercapacitors

This paper presents a study investigating the effect of differing textile substrates on the performance of multilayer, aqueous fabric supercapacitors. Three widely available textiles, cotton, polyester-cotton and silk were chosen, and all underwent the same activated carbon deposition process to form electrodes. An automated spray coating was implemented to precisely control the loading of the carbon, and to enable a uniform coating. A vacuum impregnation technique was utilized to increase the wettability of the electrodes and improve the absorption of the aqueous electrolyte. The multilayer supercapacitors showed excellent electrochemical and mechanical stability, with the choice of textile substrate found to have a profound effect on the performance. The silk-based supercapacitor was found to have a gravimetric capacitance of 20.2 F.g−1 (56.6 mF.cm−2) at a carbon loading ratio of 15.7 %wt. The polyester-cotton supercapacitor, however, was found to have a superior areal capacitance of 118 mF.cm−2 at a carbon loading ratio of 14.1 %wt. This work will be used to select future substrates and carbon loading levels for real-world e-textiles.
Architectural and Functional Differences in Dot Net Solutions

In the product development and management area, . NET is critical. The sequential development of versions of . NET describes the importance and continuous feedback of customers about their experience. There are several architectural and functional differences of . NET evolution to its cross-platform version i.e., . NET core and above. Prominence of . NET in the improvement of development sector is evident. Quantum of open-source projects all over the globe and place of C# among the five most well-known programming languages are two pointers. Its ubiquity is simply going to develop, particularly now that the most recent emphasis (.NET 5) has changed business by presenting the idea of general programming advancement. NET help for programming improvement isn’t restricted to the numerous programming dialects can utilize. NET likewise advances utilization of a few prescribed procedures while allowing to utilize the methodology like to construct our application. NET framework was the underlying kind of . NET. It gives engineer a bunch of APIs for most widely recognized programming needs and connects with basic working framework. It runs just on Windows, and its lifecycle is reaching a conclusion at this moment, after the arrival of . NET 5. Numerous executions emerged from that point forward, so the . NET name made ambiguities. NET 5 means to make concrete the underlying vision of a widespread improvement stage.
Multivariate Statistical Modeling for Multitemporal SAR Change Detection Using Wavelet Transforms and Integrating Subband Dependencies

In this article, we propose a new method for automatic change detection in multitemporal fully polarimetric synthetic aperture radar (PolSAR) images based on multivariate statistical wavelet subband modeling. The proposed method allows us to consider the correlation structure between subbands by modeling the wavelet coefficients through multivariate probability distributions. Three types of correlation are investigated: interscale, interorientation, and interpolarization dependences. The multivariate generalized Gaussian distribution (MGGD) is used to model the interdependencies between wavelet coefficients at different orientations, scales, and polarizations. Kullback–Leibler similarity measures are computed and used to generate the change map. Simulated and real multilook PolSAR data are employed to assess the performance of the method and are compared to the multivariate Gaussian distribution (MGD)-based method. We show that the information embedded in the correlation between subbands improves the accuracy of the change map, leading to better performance. Moreover, the MGGD represents better the correlations between wavelet coefficients and outperforms the MGD.
Visualization of the Ionome in Planktonic Symbioses

1. Cell and Plant Physiology Laboratory – University of Grenoble Alpes, CNRS, CEA, INRA; Grenoble, France. 2. Laboratoire de Chimie et Biologie des Métaux University of Grenoble Alpes, CNRS, CEA ; Grenoble, France. 3. ESRF, The European Synchrotron Radiation Facility; Grenoble, France. 4. Institut de Biologie Structurale, University of Grenoble Alpes, CNRS, CEA; Grenoble, France. 5. Helmholtz Centre for Environmental Research – UFZ, Department of Isotope Biogeochemistry; Leipzig, Germany. 6. Sorbonne Universités, UPMC Université Paris 06, CNRS, Laboratoire d’Océanographie de Villefranche (LOV), Villefranche-sur-Mer, France. * Corresponding author: johan.decelle@univ-grenoble-alpes.fr
Electronic Structure Characterization of the Bi-YIG by EELS-STEM

1. Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Circuito Universitario s/n campus II, Chihuahua, Chih. 31125, Mexico. 2. Laboratorio de Materiales y Sistemas Fotosensibles, CUCEI, Universidad de Guadalajara, Av. José Guadalupe Zuno # 48, Industrial los Belenes, Zapopan, Jalisco 45100, Mexico. 3. Catedrático CONACyT, Centro de Investigación en Materiales Avanzados S. C. Miguel de Cervantes 120, Chihuahua, Chih. 31136, México. 4. Laboratorio Nacional de Nanotecnología, Centro de Investigación en Materiales Avanzados S. C. Miguel de Cervantes 120, Chihuahua, Chih. 31136, México. * Corresponding author: nherrerap@uach.mx, guillermo.herrera@cimav.edu. mx
Cascaded Digital Refinement for Intrinsic Evolvable Hardware

Intrinsic evolution of reconfigurable hardware is sought to solve computational problems using the intrinsic processing behavior of System-on-Chip (SoC) platforms. SoC devices combine capabilities of analog and digital embedded components within a reconfigurable fabric under software control. A new technique is developed for these fabrics that leverages the digital resources' enhanced accuracy and signal refinement capability to improve circuit performance of the analog resources' which are providing low power processing and high computation rates. In particular, Differential Digital Correction (DDC) is developed utilizing an error metric computed from the evolved analog circuit to reconfigure the digital fabric thereby enhancing precision of analog computations. The approach developed herein, Cascaded Digital Refinement (CaDR), explores a multi-level strategy of utilizing DDC for refining intrinsic evolution of analog computational circuits to construct building blocks, known as Constituent Functional Blocks (CFBs). The CFBs are developed in a cascaded sequence followed by digital evolution of higher-level control of these CFBs to build the final solution for the larger circuit at-hand. One such platform, Cypress PSoC-5LP was utilized to realize solutions to ordinary differential equations by first evolving various powers of the independent variable followed by that of their combinations to emulate mathematical series-based solutions for the desired range of values. This is shown to enhance accuracy and precision while incurring lower computational energy and time overheads. The fitness function for each CFB being evolved is different from the fitness function that is defined for the overall problem. iv I dedicate this work to my family who constantly supported me and believed in me even in the face of complete loss of hope of further progress, only to steer me to turn it around to what it is now. I also dedicate this work to my advisor and guru, Dr. Ronald F. DeMara for being patient and tolerant of my quirks, for giving the right push time and again, streamlining the occasional eccentricity into worthwhile products and for imbibing in me a spirit of professionalism for life! I also dedicate this work to my best friends, Hariharan Ramakrishnan and Arvind Ranganathan for providing constant motivation and to help me take it easy just as much as I needed both. v ACKNOWLEDGMENTS
Pemanfaatan Credit Card Sized Computer Sebagai Penyaji Informasi pada Public display: Sebuah Kajian Awal

Komputer seukuran kartu kredit atau credit card sized computer (CCSC) merupakan low-cost dan low power computer yang memiliki kemampuan yang mirip dengan komputer personal. Kemampuan tersebut dapat dimanfaatkan untuk menampilkan berbagai informasi menggunakan web pada public display. Dalam artikel ini, akan dilakukan penelaahan berbagai teknologi web yang dapat diterapkan pada CCSC untuk menampilkan informasi menggunakan web pada public display. Akan dikaji berbagai referensi yang menunjukkan pemanfaatan web untuk public display, dilanjutkan dengan berbagai teknologi web yang ada, dan pada akhirnya dikaji berbagai teknologi web yang dapat diimplementasikan menggunakan CCSC. Dari hasil kajian yang dilakukan, CCSC dapat digunakan sebagai client maupun server untuk teknologi Web 1.0 dan Web 2.0.
Phase imaging by spatial wavefront sampling

Phase imaging techniques extract the optical path-length information of a scene, whereas wavefront sensors provide the shape of an optical wavefront. Since these two applications have different technical requirements, they have developed their own specific technology. Here we show how to perform phase imaging combining wavefront sampling using a reconfigurable spatial light modulator with a beam position detector. The result is a time-multiplexed detection scheme, capable of being shortened considerably by compressive sensing. This robust reference-less method does not require the phase unwrapping algorithms demanded by conventional interferometry, and its lenslet-free nature removes tradeoffs usually found in Shack-Hartmann sensors.
A Novel Mobile Robot Visual Homing Strategy Based on Pseudo-Isometric Distribution of Landmarks

Visual homing is an essential technology for robot navigation. However, all landmark-based visual homing methods are usually constrained by the assumption of equal distance of landmarks. To alleviate this assumption, a novel visual homing strategy, termed Pseudo-Isometric Distribution Vector Pre-assigned Mechanism (PD-VPM), is proposed in this paper. The proposed strategy can alleviate effects of randomness and unevenness of landmark distribution. All landmarks can be described by an equivalent representation by adaptively adjusting their weights without artificial interference, so that homing performance is significantly enhanced. Comparative studies demonstrate that the proposed strategy is superior to state-of-the-art methods in terms of homing precision while maintaining computation speed.
Effects of Powder Preparation and Sintering Temperature on Properties of Spark Plasma Sintered Ti-48Al-2Cr-8Nb Alloy

TiAl alloy has become a key element in aerospace and automotive engine development due to its favorable high temperature mechanical properties and low density. In this paper, high performance TiAl alloy was prepared using atomized Ti-48Al-2Cr-8Nb powder by spark plasma sintering. This paper analyzed the variation of density, microstructure, Vickers hardness, and fracture strength of TiAl alloys prepared with spherical pre-alloyed powder (named as SP powder) and pre-alloyed powder after 12 h of ball milling (named as MP powder) at different sintering temperatures. The results indicate that the density, Vickers hardness, and room temperature (25 °C) bending strength of Ti-48Al-2Cr-8Nb alloy sintered using MP powder, are significantly higher than that of TiAl alloy sintered using SP powder. Specifically, the densification temperature of the MP powder sintered specimen is reduced by 100 °C, the Vickers hardness is increased by 15%, and the room temperature bending strength is increased by 51.9% at a sintering temperature of 1250 °C. The microstructure analysis shows that the Ti-48Al-2Cr-8Nb alloy has the best bending strength when it has a fine grain phase structure.