Miracle-dz/UniFAR-FTUs huggingface dataset:
Image-based meshing of patient-specific data:Converting medical scans into highly accurate computational models

Objective Computational simulation technology has become an indispensable tool for researchers across the biomechanics discipline.Crucial to the effectiveness of such a tool is its ability to efficiently simulate patient-specific problems.This paper will present a unique and exceptionally efficient approach that converts 3D digital images(provided typically by CT,Ultrasound or MRI scanners)directly into highly accurate computational models.Method The majority of approaches adopted have involved generating a surface model(either in a discretized or continuous format)from the scan data,which is then exported to a commercial mesher-a process which is time consuming,not very robust and virtually intractable for the complex topologies typical of image data.A more‘direct approach’is to combine the geometric detection and mesh creation stages in one process.This approach involves identifying volumes of interest(segmentation of 3D image)and then directly generating the volumetric mesh based on an orthotropic grid intersected by interfaces defining the boundaries.This methodology is used that generates 3D hexahedral or tetrahedral elements throughout the volume of the domain,thus creating the mesh directly.Results Treating the problem using an image-based meshing approach is remarkably straightforward,robust,accurate and efficient.Indeed meshes can be generated automatically which is of image-based accuracy with domain boundaries of the finite element model lying exactly on the iso-surfaces thereby taking into account partial volume effects and providing sub-voxel accuracy.Conclusion Meshing from image data presents a number of challenges but also unique opportunities so that a conceptually different approach can provide,in many instances,better results thantraditional approaches.The ease and accuracy with which models can be generated opens up a wide range of previously difficult or intractable problems to numerical analysis,including blood flow,and patient-specific implant design.
Non-Universal Equation of State of the Two-Dimensional Bose Gas

For a dilute two-dimensional Bose gas the universal equation of state has a logarithmic dependence on the s-wave scattering length. Here we derive non-universal corrections to this equation of state taking account finite-range effects of the inter-atomic potential. Our beyond-mean-field analytical results are obtained performing dimensional regularization of divergent zero-point quantum fluctuations within the finite-temperature formalism of functional integration. In particular, we find that in the grand canonical ensemble the pressure has a nonpolynomial dependence on the finite- range parameter and it is a highly nontrivial function of chemical potential and temperature.
Hyper-spectral Analysis for Automatic Signature Extraction

Signatures are one of the most accessible and prevailed ways of authenticating documents. Over the last many years, a large number of signature veri cation systems have been reported. A common assumption in nearly all of these system is that the signatures are available readily extracted from documents. In this paper we provide a detailed literature survey on the subject and argue that pre-extracted signatures are not always available especially in forensic cases. Furthermore, we present a novel system of automatically extracting signatures from documents with the help of hyper-spectral imaging. Initial experiments reveal that the proposed idea possess great potential to form a baseline signature extraction system above whom any signature veri cation system can be adjuncted for signature veri cation.
Rotational Eddy Current Speed Sensor

A novel eddy current speed sensor is developed to measure the rotational speed of conductive objects. The sensor consists of one excitation coil and two pick-up coils around a rotating cylinder or rod. The sensor does not use magnetic yoke. For the analysis and experimental verification, we used 30 mm diameter non-magnetic aluminum and also magnetic solid iron cylinders. The calculated and measured speed ranges are up to 1200 r/min. A 2-D analytical method is developed to calculate sensor performance. A 2-D finite element is also used for simulations to compare results with the 2-D analytical method. A 3-D finite-element analysis is required to take into account significant 3-D effects due to the air coil configuration. The experimental results are presented at different steady-state speeds. The calculation results are compared with measurements to validate theoretical models and sensor performance. The eddy current speed sensor shows high linearity even at low speeds. For ferromagnetic rods, we suggest a novel double-layer configuration: non-magnetic conductive ring or shell on top of the iron rod minimizes the influence of the permeability changes. The main advantage of the novel sensor is that it has neither mechanical nor electrical contact to the rotating rod.
A Novel Text Copy Detection Method based on Semantic Feature

With the rapid development of the Internet, getting shared resource on the network is becoming more easy, and various plagiarize is becoming to breed, so the research of text copy detection technology is becoming more important. The traditional copy detection technology is based on term frequency statistics, and does not consider the context semantic. Some plagiarism can be easily made by replacing synonyms, changing the sentence structure, or translating from one language to another language. But the traditional copy detection technology could not detect such plagiarism. In this paper, a text copy detection method based on semantic is proposed. By using an improved TFIDF algorithm, terms could be more accurately extracted from each document in the corpus. By putting the documents corresponding to the terms one by one, a terms category is built in the database. When a document is detecting, the terms are read from the database and matched. The testing results show that, compared to the traditional TFIDF algorithm, the improved method could more accurately detect the plagiarism.
Turbulence, magnetism, and transport inside stars

We present recent progress made in modelling stars and their turbulent magnetized dynamics in 3-D. This work is inspired by many years of discussion with Jean-Paul Zahn. I (ASB) first met him as a professor of astrophysical fluid dynamics (AFD) at the Paris-Meudon observatory's graduate school of astrophysics in 1994–1995. He made me the honor of accepting to be my PhD's advisor (1995–1998). He then supported me during my postdoc years in Boulder with his long time friend Prof. Juri Toomre between January 1999 and December 2002 and through the difficult process of getting a tenure position, and then since as a tenure researcher in Department of Astrophysics at CEA Paris-Saclay. I have been fortunate and lucky to share so many years discussing and doing scientific projects with Jean-Paul. As I was getting more experienced and started supervising my own students, he was always available, guiding us with his acute scientific vista and encouraging them. Antoine Strugarek, who co-author this paper, was like me fortunate to share Jean-Paul's knowledge. The three of us published several papers together during Antoine's PhD (2009–2012) addressing the dynamics of the solar tachocline and its interplay with convection. We miss him greatly. In this paper, we discuss mainly two topics that benefited from Jean-Paul's deep understanding of AFD: a) the dynamics of the solar tachocline and angular momentum transport in stellar interior and b) turbulent convection and dynamo action in stellar convection zones.
Complementarity of inorganic fertilizers and improved maize varieties and farmer efficiency in maize production in Kenya

This study contributes to the literature and policy on the impact of partial and package adoption of inorganic fertilizers and improved maize varieties on yields among smallholder households in Kenya. We use a blend of the quasi-experimental difference-in-differences approach and propensity score matching to control for both time-variant and time-invariant unobservable household heterogeneity. Our findings show that inorganic fertilizers and improved maize varieties significantly improve yields when adopted as a package rather than as individual elements. The impact is greater at the lower end of the yield distribution than at the upper end, and when technical efficiency of the farmers improves. A positive effect of partial adoption is experienced only in the lower quantile of the yield distribution. The policy implication is that complementary agricultural technologies should be promoted as a package, and should target households and areas which are already experiencing low yields for greater impact. Keywords: Technology Adoption; Yield; Difference-in-Differences; Kenya
A study on the product set-labeling of graphs

Abstract Let X be a non-empty ground set and 𝒫 ⁢ ( X ) ${\mathscr{P}(X)}$ be its power set. A set-labeling (or a set-valuation) of a graph G is an injective set-valued function f : V ⁢ ( G ) → 𝒫 ⁢ ( X ) ${f\colon\hskip-0.853583ptV(G)\hskip-0.853583pt\to\hskip-0.853583pt\mathscr{P}(% X)}$ such that the induced function f ∗ : E ⁢ ( G ) → 𝒫 ⁢ ( X ) ${f^{\ast}\colon\hskip-0.853583ptE(G)\hskip-0.853583pt\to\hskip-0.853583pt% \mathscr{P}(X)}$ is defined by f ∗ ⁢ ( u ⁢ v ) = f ⁢ ( u ) ∗ f ⁢ ( v ) ${f^{\ast}(uv)=f(u)\ast f(v)}$ , where f ⁢ ( u ) ∗ f ⁢ ( v ) ${f(u)\ast f(v)}$ is a binary operation of the sets f ⁢ ( u ) ${f(u)}$ and f ⁢ ( v ) ${f(v)}$ . A graph which admits a set-labeling is known to be a set-labeled graph. A set-labeling f of a graph G is said to be a set-indexer of G if the associated function f ∗ ${f^{\ast}}$ is also injective. In this paper, we introduce a new notion, namely, product set-labeling of graphs as an injective set-valued function f : V ⁢ ( G ) → 𝒫 ⁢ ( ℕ ) ${f\colon V(G)\to\mathscr{P}(\mathbb{N})}$ such that the induced edge-function f ∗ : V ⁢ ( G ) → 𝒫 ⁢ ( ℕ ) ${f^{\ast}\colon\hskip-0.853583ptV(G)\to\mathscr{P}(\mathbb{N})}$ is defined as f ∗ ⁢ ( u ⁢ v ) = f ⁢ ( u ) ∗ f ⁢ ( v ) ${f^{\ast}(uv)=f(u)\ast f(v)}$ for all u ⁢ v ∈ E ⁢ ( G ) ${uv\in E(G)}$ , where f ⁢ ( u ) ∗ f ⁢ ( v ) ${f(u)\ast f(v)}$ is the product set of the set-labels f ⁢ ( u ) ${f(u)}$ and f ⁢ ( v ) ${f(v)}$ , where ℕ ${\mathbb{N}}$ is the set of all positive integers and discuss certain properties of the graphs which admit this type of set-labeling.
Quantum scattering by external metrics and Yang-Mills potentials

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DESIGNING FOR MULTISENSORIAL INTERACTIVE PRODUCT EXPERIENCES

This paper presents a methodology and case study of designing for multi sensorial interactive product experiences, within the context of postgraduate degree level Industrial Design education. Building on literature spanning product and interaction semantics, and multimodal product experiences, the paper establishes a stepped approach to integrate up to six different sensory modalities (sight, touch, presence, sound, smell, taste) into a user-product interaction scenario. A product design project (bedside alarm clock) is then introduced, for which nine postgraduate students were guided to design to a certain characterful interaction (e.g. charming, helpful, amusing etc.) using multiple sensory modalities. Each of the nine resulting product designs are scrutinised for the sensory modalities that are activated, making use of a storytelling (product usage scenario) analysis. The specific sensory attributes that were harnessed are compared across the product designs and the frequency of their implementation is charted. Conclusions are reached on (i) strategies that designers employ to reach intended multi sensorial UX for their products, and (ii) the effectiveness of the educational methodology adopted for encouraging student designers to think beyond the dominant visual domain of design.
High spatial resolution temperature field measurements by apodized short fiber Bragg grating sensors

Abstract. To realize the high spatial resolution measurement of the temperature field, a temperature sensor array composed of eight apodized short fiber Bragg gratings with grating length of 1 mm and spatial spacing of 2 mm are fabricated. To suppress the side lobes, apodization methods by single-slit diffraction are designed. The sensor array is proposed to measure the real-time temperature distribution. The experimental results show that the temperature-sensing array can accurately measure the temperature field distribution with high spatial resolution and rapid response.
Comparing Merton model and Gram-Charlier model to capture skewness and kurtosis on bond performance

The existence of skewness and kurtosis in finance data distribution is as a generalization of the normal density. Non-normal skewness and kurtosis of underlying asset of bond issuer significantly contribute to the phenomenon of volatility smile. Merton jump diffusion model is one of the first beyond Black-Scholes model in the sense that it tries to capture the effect of skewness and kurtosis of the asset prices density by a simple addition of a compound Poisson jump process. Another approach to consider the effect of skewness and kurtosis in asset prices for bond valuation is the Gram-Charlier (G-C) expansion. Hermite polynomial is used to get an expansion of the probability distribution in G-C method. In this paper we compare Merton Jump Diffusion (MJD) Model and G-C model in the term of equity and default probability. The result showed that G-C model is more consistent than MJD model when the skewness and kurtosis are taken into account.
Teoria e aplicação de support vector machines à aprendizagem e reconhecimento de objetos baseado na aparência.

Support Vector Machines (SVM) e uma tecnica de aprendizagem de maquina derivada de duas fundamentacoes solidas: Teoria da Aprendizagem Estatista e Otimizacao Matematica. SVM tem sido recentemente aplicado com sucesso a uma variedade de problemas que vao desde o reconhecimento de caracteres ao reconhecimento de objetos baseado na aparencia. Alguns dos motivos para esse sucesso estao relacionados ao fato dessa tecnica exibir bom desempenho de generalizacao em muitas bases de dados reais, e bem fundamentada teoricamente, o processo de treinamento elimina a possibilidade de minimos locais, existem poucos parâmetros livres para ajustar e a arquitetura nao precisa ser encontrada por experimentacao. Entretanto, por tratar-se de uma abordagem relativamente nova, livros-texto e artigos estao geralmente disponiveis em uma linguagem que nao e facilmente acessivel para Cientistas da Computacao. Portanto, um dos objetivos desta dissertacao e prover uma introducao sobre SVM que apresente os conceitos e teoria essenciais a tecnica e que seja mais didatica. Estrategias de reconhecimento de objetos com base na aparencia se aplicam a problemas em que ha dificuldades na obtencao de modelos geometricos dos objetos, desde que as imagens utilizadas nao apresentem oclusoes. Algumas tecnicas de aprendizagem de maquina tem sido aplicadas a este problema, tais como: PCA (Principal Component Analysis), PAC (Probably Approximately Correct) e Redes Neurais, mas nenhuma mostrou-se tao promissora quanto SVM. Dentro desse contexto, esta dissertacao objetiva investigar a aplicacao de SVM ao reconhecimento de objetos baseado na aparencia. Apresenta resultados praticos de classificacao utilizando inicialmente uma pequena base de dados e, em seguida, explorando todo o poder da tecnica em uma base de dados relativamente grande. Esta dissertacao tambem descreve resultados experimentais usando diferentes variacoes da tecnica e compara o desempenho de reconhecimento de SVM com o desempenho de Redes Neurais do tipo Multilayer Perceptron Backpropagation.
Scheduling algorithm design in multiuser wireless networks

In this dissertation, we discuss throughput-optimal scheduling design in multiuser wireless networks. Throughput-optimal scheduling algorithm design in wireless systems with flow-level dynamics is a challenging open problem, especially considering that the majority of the Internet traffic are short-lived TCP controlled flows. In future wireless networks supporting machine-to-machine and human-to-human applications, both short-lived dynamic flows and long-lived persistent flows coexist. How to design the throughput-optimal scheduling algorithm to support dynamic and persistent flows simultaneously is a difficult and important unsolved problem. Our work starts from how to schedule short-lived dynamic flows in wireless systems to achieve throughput-optimality with queue stability. Classic throughput-optimal scheduling algorithms such as the Queue-length based Maxweight scheduling algorithm (QMW) cannot stabilize systems with dynamic flows in practical communication networks. We propose the Head-of-Line (HOL) access delay based scheduling algorithm (HAD) for flow-level dynamic systems, and show that HAD is able to obtain throughput-optimality which is validated by simulation. As the Transmission Control Protocol (TCP) is the dominant flow and congestion control protocol for the Internet nowadays, we turn our attention to the compatibility
Handbook Of Cereal Science And Technology

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THE RADIAL EXTENT OF THE DOUBLE SUBGIANT BRANCH IN NGC 1851

Recent Hubble Space Telescope (HST)/Advanced Camera for Surveys (ACS) observations revealed the presence of a double subgiant branch (SGB) in the core of the Galactic globular cluster NGC 1851. This peculiarity was tentatively explained by the presence of a second population with either an age difference of about 1 Gyr, or a higher C+N+O abundance, probably due to pollution by the first generation of stars. In this Letter, we analyze VLT-FORS V, I images, covering 12. ′7 × 12. ′7, in the southwest quadrant of the cluster, allowing us to probe the extent of the double SGB from ∼1. ′4 to ∼13′ from the cluster center. Our study reveals, for the first time, that the “peculiar” population is the one associated with the fainter SGB. Indeed, while the percentage of stars in this sequence is about 45% in the cluster core (as previously found on the basis of ACS/HST data), we find that it drops sharply, to a level consistent with zero in our data, at ∼2. ′4 from the cluster center, where the brighter SGB, in our sample, still contains ∼100 stars. Implications for the proposed scenarios are discussed.
Memory, Area and Power Optimization of Digital Circuits

- In this paper we illustrate the retiming technique to reduce the iteration period and to minimize the registers. So by this technique computation time is reduced for processors and fast speed is achieved. This is used in real time implementation to optimize performance. Shortest path algorithm such as Bellman ford and Floyd Warshall are used in retiming. These retiming techniques are explained in quantitative manner and the results are given thereafter. Retiming helps in reducing switching time. Minimization of the registers through retiming can help in reducing memory requirement and also reduce the requirement of area. And thereafter power consumption is also reduced due to less area and less switching time as given by the equation of dynamic power.
Aplicación de estrategias de control lineal en generadores síncronos y evaluación de su comportamiento en caso de cortocircuito

En el presente trabajo se analiza la estabilidad electrica de un generador sincrono, cuando se utilizan estrategias de control lineal y se presenta un cortocircuito. El modelaje y simulacion se llevan a cabo para un generador sincrono de 2 polos, 150 MVA, 120 MW, 13.8 kV y 50Hz conectado a un bus infinito a traves de un transformador y una linea de transmision simple. La representacion del sistema electrico dinamico se hace mediante circuitos equivalentes en dos ejes y se incluye la ecuacion de oscilacion asi como el modelo del regulador automatico de voltaje Proporcional-Derivativo (PD) o control Proporcional-Derivativo-Integral (PID). La sintonizacion de los controles se llevo a cabo de manera manual dentro de los valores tipicos de controles y sin sobrepasar los limites de las variables electricas del generador. Los resultados se comparan con mediciones de una prueba de cortocircuito que se realizo en el generador especificado y se muestran los logros en la estabilidad del voltaje, el angulo de carga y la corriente de armadura del generador por el uso del control PD o PID.
Improved SVRG for finite sum structure optimization with application to binary classification

This paper looks at a stochastic variance reduced gradient (SVRG) method for minimizing the sum of a finite number of smooth convex functions, which has been involved widely in the field of machine learning and data mining. Inspired by the excellent performance of two-point stepsize gradient method in batch learning, in this paper we present an improved SVRG algorithm, named stochastic two-point stepsize gradient method. Under some mild conditions, the proposed method achieves a linear convergence rate \begin{document}$ O(\rho^k) $\end{document} for smooth and strongly convex functions, where \begin{document}$ \rho\in(0.68, 1) $\end{document} . Simulation experiments on several benchmark data sets are reported to demonstrate the performance of the proposed method.
Evaluating New Matrix Pooled Testing Methods for Detecting HIV Treatment Failure with and without Covariate Information

Evaluating New Matrix Pooled Testing Methods for Detecting HIV Treatment Failure with and without Covariate Information Adam Brand Chair of the Supervisory Committee: Susanne May, Associate Professor Department of Biostatistics Antiretroviral treatment for HIV has proven to lengthen and improve patients’ lives, and greatly reduce the risk of transmission. Patients receiving antiretroviral treatment for HIV must be monitored for treatment failure, so the treatment regimen can be altered to maintain low HIV viral load levels. Monitoring/testing treated HIV patients requires resources not available to resource-limited regions most in need. It has been shown that matrix pooled testing can be efficient compared to individual testing under certain conditions however, further improvements are needed. The current best-performing matrix pooled testing method for detecting HIV treatment failure does not use covariate information. Other methods which do use covariate information have not yet been shown to outperform this method in settings with realistic, skewed viral load values. We propose new methods of matrix pooled testing, some of which use covariate information, and evaluate method performance with respect to relative efficiency, sensitivity and number of testing rounds. Based on simulation results we identify a method which incorporates covariate information and outperforms the current bestperforming method in settings using realistic, skewed viral load values when we have access to a predictor(s) of virologic failure.