Miracle-dz/UniFAR-FTUs huggingface dataset:
Antenna Selection Strategy for Energy Efficiency Maximization in Uplink OFDMA Networks: A Multi-Objective Approach

This paper aims at investigating the problem of energy efficiency (EE) maximization for uplink multi-cell networks via a joint design of sub-channel assignment, power control, and antenna selection. We study the problem under two practical scenarios. In the first scenario, known as conventional antenna selection (CAS), there is only one radio frequency (RF) chain available at the mobile user and all the sub-channels for each user can be assigned to one of the antennas. For the second scenario, known as generalized antenna selection (GAS), the number of RF chains is equal to the number of antennas and the messages of each user can transmit over its assigned sub-channels via different antennas. The resource allocation design is formulated as a multi-objective optimization problem (MOOP) and then converted into a single objective optimization problem (SOOP) via the weighted Tchebycheff method. The considered problem is a mixed integer nonlinear programming (MINLP) which is generally intractable. To address this problem, a penalty function is introduced to handle the binary variable constraints. In order to obtain a computationally efficient suboptimal solution, the majorization minimization (MM) approach is proposed where a surrogate function serves as the lower bound of the objective function. Furthermore, we propose another low-complexity practical algorithm to further reduce the computational cost. Simulation results demonstrate the superiority of the proposed method and unveil an interesting trade-off between EE and SE for two considered scenarios.
Estimating the probability of default for no‐default and low‐default portfolios

The paper proposes a sequential Bayesian updating approach to estimate default probabilities on rating grade level for no‐ and low‐default portfolios. Bayesian sequential updating enables default probabilities to be obtained also for those rating grades for which no defaults have been observed. The advantage of this approach is that it preserves the rank order of rating grades in the case of no defaults. Rank preservation is not ensured when using an identical prior distribution across all rating grades. We discuss Bayesian sequential updating for the beta–binomial model and a model incorporating the asymptotic single‐risk factor model of the Basel Accord. Practical aspects such as incorporating information from external sources and the margin of conservatism are addressed.
Systematic review of radial nerve palsy associated with humeral shaft fracture

Objective To review the clinical management of the radial nerve palsy (RNP) associated with humeral shaft fractures via systematically reviewing the published available articles, and develope an algorithm to guide management for RNP. Methods Using PubMed, Datastar and Cochrane Database, web based databases were searched for radial nerve palsy associated with humeral shaft fractures in the past 40 years, and manual searches of the bibliographic sections of electronically identified papers were done to identify further papers. Meticulous data extraction and meta-analysis was performed according to a preset protocol. Results In 391 citations initially identified, 35 papers, which included a total of 1045 RNP patients, met all eligibility criteria. The overall RNP incidence after humeral shaft fractures in 21 papers was 11.8% (532/4517). The incidence of RNP in middle 1/5 and middle-distal 1/5 of the humeral shaft fracture was significantly higher than that in other parts. Transverse and spiral fractures were more likely to sustain RNP than oblique and comminuted fracture patterns(P 0.0001). The overall recovery rate of RNP was 88.1%, with a general rate of spontaneously recovery reaching 70.7% in conservatively treated patients. There was no significant difference in the final recovery results when comparing groups initially managed expectantly with those explored early. Conclusion Initial conservative treatment of RNP associated with humeral shaft fracture would not adversely affect the extent of nerve recovery and could avoid many unnecessary operations.
A Novel E-plane-Focused Cylindrical Luneburg Lens Loaded With Metal Grids for Sidelobe Level Reduction

A novel cylindrical Luneburg lens operating at 26 GHz-band using hole drilling technology are reported, aiming at proper radiation patterns. The cylindrical Luneburg lens antenna converge microwaves in the plane perpendicular to the generatrix of the cylinder. An E-plane-focused cylindrical Luneburg lens antenna with the thickness of 20 mm and diameter of 88.2 mm is proposed for working at 26 GHz. Feed of the lens antenna is a conventional rectangular waveguide. Furthermore, in order to compensate the phase of the microwave in the nonconverging plane (H-plane in this case), a pair of printed circuit boards (PCBs) etched with particular metal grids is attached to the side faces of the lens. With optimized design for the grids, a narrower beam is obtained in the H-plane while the sidelobe level (SLL) of the cylindrical Luneburg lens could be drastically reduced compared with lens antenna without the special metal grids. Measured results of the fabricated lens antennas are in a good agreement with the simulation, proving its effectiveness and practicability that the designed grids benefit the radiation pattern performances. With an appropriate pattern for the H-plane achieved, proposed cylindrical Luneburg lens operating at millimeter-wave (mmW) band is a suitable candidate for multibeam communication systems.
The first principle study: electronic, optical and elastic properties of HfTe5 metal pentatelluride

The lattice structure of HfTe5 was investigated, using ab initio density functional theory (DFT). Such structure was found in the space group of Cmcm (#63) and lattice parameter of a = 3.964, b = 14.443, and c = 13.684 Å, bond angle of α = β = γ = 90°, while treating the exchange-correlation potential with the Local Density Approximations (LDA). The calculations were performed to investigate, the bandstructure, partial density of states (PDOS), optical, and elastic properties. To conclude, the band structure plots indicated the valance top is higher than the conduction bottom, identified the material to be a semi-metal. Our optical data showed, the absorption peak was within the Ultraviolet C (UVC) region, commonly found in applications such as bacteria disinfection. According to the elastic parameters calculated, the material was reported to be elastic.
A random hike between combinatorics and statistical mechanics

This thesis is at the interface between combinatorics and probability,and contributes to the study of a few models stemming from statisticalmechanics: polymers, self-interacting random walks and random walks inrandom environment, random maps.bigskipThe first model that we investigate is a one-parameter family ofprobability measures on self-avoiding paths of infinite length on aregular lattice, constructed from biased random walks on the tree offinite self-avoiding paths. These measures, initially introduced byBeretti and Sokal, exist for every bias larger than the inverseconnectivity constant, and their limit at the critical bias would beaamong the natural definitions of the uniform self-avoiding walk ofinfinite length. The aim of our work, in collaboration with VincentBeffara, is to understand the link between this limit, if it indeedexists, and other random infinite paths such as Kesten's measure(which is the weak limit of uniformly random finite self-avoidingwalks in the half-plane) and critical Bernoulli percolationinterfaces; the model can be seen as an interpolation between thesetwo.In a second part, we consider random walks with random conductances ona tree, in the case when the law of the conductances has heavy tail.Our aim, in collabration with Andrea Collevecchio and Daniel Kious, isto show a phase transition in the tail parameter; we express thecritical point as an explicit function of the underlying tree.In parallel, we study excited random walks on trees and their phasetransitions: we extend a conjecture of Volkov's and generalize resultsby Basdevant and Singh.Finally, a third part in collaboration with Vincent Beffara andBenjamin Leveque contributes to the study of random maps of highergenus: we show the existence of subsequential scaling limits foruniformly random simple triangulations of the torus, extending to thatsetup fromer results by Adario-Berri and Albenque (on simpletriangulations of the sphere) and by Bettinelli (on quadrangulationsof the torus). The question of uniqueness and universality of thelimit remain open, but we obtain partial results in that direction.
A unified Lyapunov-based design for a dynamic compensator of linear parabolic MIMO PDEs

This paper addresses the problem of dynamic compensator design for exponential stabilisation of linear parabolic partial differential equations (PDEs) with multiple actuation control inputs and multiple non-collocated observation outputs. Both in-domain control and boundary control are considered. A new observer-based dynamic compensator is constructed by the non-collocated observation outputs such that the resulting closed-loop coupled PDEs are exponentially stable. By constructing a Lyapunov function candidate and using Poincaré–Wirtinger inequality's variants, a sufficient condition for the existence of such dynamic compensator is presented in terms of standard linear matrix inequalities (LMIs). The closed-loop well-posedness analysis result is also established by the method of -semigroup and its perturbations by bounded/unbounded linear operators. Finally, numerical simulation results are presented to support the proposed design method.
Inter-harmonics analysis and parameter estimation based on H2R6 window and constructing low-interference zone

With a large number of renewable powers taken into the distributed grid, frequency-irregular inter-harmonics would cause the mainlobe interferences (MLI) in the frequency domain, which damages detection accuracy sharply. To solve MLI, a second-order Hann and sixth-order Rectangular convolution window (H 2 R 6 window) are constructed. It contains low sidelobes and a narrow mainlobe, which properly solves traditional harmonic problem, e.g. spectral leakage and picket-fence effect. Moreover, by using this window, judging whether MLI exists becomes easier, and all inter-harmonics are distinguished into three types. Different estimation strategies are applied to aim at different types of inter-harmonics for common harmonic and the first type inter-harmonic, a two-point interpolation equation is calculated directly. For the second and the third type, a zone affected by MLI slightly is partitioned, then parameter can be estimated based on two spectra in this zone. The relative frequency error of the first type is about 10 −11 , and the ones corresponding to the second and the third type are at a range from 10 −3 to 10 −10 , which depends on the frequency distance of two adjacent sinusoids. Such a precision fully meets the demand for precision instruments.
PENGARUH HARGA DIRI TERHADAP KECENDERUNGAN NARSISTIK PADA REMAJA PENGGUNA INSTAGRAM

Kemajuan teknologi saat ini sudah semakin berkembang pesat, dimulai dari mencari informasi, berkomunikasi, dan menjaring pertemanan. Salah satu media yang dapat mencakup semuanya kegiatan tersebut adalah Instagram. Khususnya di kalangan remaja saat ini, aplikasi Instagram tersebut telah menjadi sarana untuk para remaja menunjukkan tentang dirinya kepada orang lain. Namun hingga saat ini masih ada beberapa remaja yang menggunakan aplikasi tersebut dengan berlebihan seperti banyak memposting foto hanya untuk mendapatkan pengakuan dan pengaguman dari lingkungan sekitarnya yang berakibat munculnya kecenderungan narsistik. Penelitian ini bertujuan untuk mengetahui pengaruh harga diri terhadap kecenderungan narsistik pada remaja pengguna Instagram. Subjek dalam penelitian ini adalah remaja sebanyak 347 orang. Pengambilan data menggunakan teknik cluster sampling. Metode analisa data menggunakan Uji Regresi Linier Sederhana. Hasil penelitian menunjukkan nilai Fhitung 8,340 > Ftabel 3,87 dengan nilai signifikansi 0,000 (p < 0,05) yang artinya ada pengaruh antara harga diri terhadap kecenderungan narsistik pada remaja, yaitu semakin tinggi harga diri maka semakin rendah kecenderungan narsistik. Sebaliknya, semakin rendah harga diri maka semakin tinggi kecenderungan narsistik.
Stability properties of the Discontinuous Galerkin Material Point Method for hyperbolic problems in one and two space dimensions

In this paper, stability conditions are derived for the Discontinuous Galerkin Material Point Method (DGMPM) on the scalar linear advection equation for the sake of simplicity and without loss of generality for linear problems. The discrete systems resulting from the application of the DGMPM discretization in one and two space dimensions are first written. For these problems, a second‐order Runge‐Kutta and the forward Euler time discretizations are respectively considered. Moreover, the numerical fluxes are computed at cell faces by means of either the Donor‐Cell Upwind or the Corner Transport Upwind methods for multidimensional problems. Second, the discrete scheme equations are derived assuming that all cells of a background grid contain at least one particle. Although a Cartesian grid is considered in two space dimensions, the results can be extended to regular grids. The von Neumann linear stability analysis then allows the computation of the critical Courant number for a given space discretization. Although the DGMPM is equivalent to the first‐order finite volume method if one particle lies in each element, so that the Courant number can be set to unity, other distributions of particles may restrict the stability region of the scheme. The study of several configurations is then proposed.
O papel da área motora suplementar na aprendizagem das dimensões relativa e absoluta de uma habilidade motora

A aprendizagem motora pode ser investigada em diferentes niveis de analise, comopor exemplo, o nivel comportamental e o nivel neurobiologico. Em um nivelcomportamental a aprendizagem de uma habilidade motora apresenta duasdimensoes: a absoluta e a relativa. A dimensao absoluta e representada pelo tempototal, forca total e amplitude. Ja a dimensao relativa e representada pelo temporelativo, forca relativa e o sequenciamento. No nivel neurobiologico de analise, umadas questoes investigadas e qual a participacao das areas cerebrais no controle eaprendizagem das habilidades motoras. Os conceitos utilizados entre os dois niveisde analise parecem se sobrepor. Os estudos comportamentais nao investigaram asassociacoes entre as dimensoes absoluta e relativa e as areas cerebrais. Ja osestudos neurobiologicos nao utilizaram tarefas em que as dimensoes pudessem seranalisadas separadamente. Portanto, o objetivo desse estudo foi o de avaliar o papelda area motora suplementar (AMS) na aprendizagem das dimensoes absoluta erelativa de uma habilidade motora. Para tanto, 40 participantes foram aleatoriamenteseparados em dois grupos, sendo o primeiro, aquele que teve estimulacaotranscraniana por corrente continua (ETCC) sobre a AMS (G-AMS) e, o segundo, ogrupo placebo (G-P). Apos o periodo de estimulacao, os dois grupos desempenharamuma tarefa motora que consistiu em pressionar teclas de um teclado alfanumericoapenas com o dedo indicador da mao direita na sequencia de (2-8-6-4)respectivamente. A execucao da tarefa foi separada em fase de aquisicao, teste deretencao e teste de transferencia. Na fase de aquisicao os participantes realizaram120 tentativas em um tempo total de 900 ms e um tempo relativo entre teclas de 22,2%(de 2 para 8), 44,4% (de 8 para 6) e 33,3% (de 6 para 4) e com feedback do tempototal e dos percentuais relativos apos cada tentativa. No teste de retencao osparticipantes desempenharam 12 tentativas nas mesmas condicoes da fase deaquisicao, porem sem feedback. Ja no teste de transferencia, os participantesdesempenharam 12 tentativas com o mesmo tempo relativo da fase de aquisicao,porem com um tempo total de 1300 ms e sem feedback. Os resultados naoapresentaram diferenca significativa entre os grupos em nenhuma das medidasrelacionadas a dimensao relativa. Na dimensao absoluta, foi encontrada um menornivel de aprendizagem off-line para o G-AMS do fim da aquisicao para o teste deretencao. Por outro lado, foi verificado um maior nivel de aprendizagem off-line parao G-AMS entre o ultimo bloco da aquisicao e o teste de transferencia. Alem disso, oG-AMS apresentou melhor desempenho no teste de transferencia. Com base nosresultados, a estimulacao da AMS nao interferiu na aprendizagem da dimensaorelativa. Por outro lado, a estimulacao da AMS apresentou diferentes interferencias nadimensao absoluta. Como conclusao, e possivel inferir que a AMS tem um papelimportante nao somente na aprendizagem da dimensao relativa, mas tambem naabsoluta
Vibration control for a flexible satellite with adaptive actuator fault-tolerant and input quantization

In this paper, we study the vibration control for a flexible satellite with adaptive actuator fault-tolerant and input quantization. The control objective is to suppress the vibration of a flexible satellite as well as considering actuator fault-tolerant and input signal quantization. The flexible satellite is composed of a centrebody and two symmetrical flexible solar panels. The symmetrical flexible solar panels are described as two Euler-Bernoulli beams modeled as partial differential equations (PDEs). Quantitative control combines control and communication to solve related control problems in modern engineering systems. Logarithmic quantitative controllers are used to realize input signal quantization. Meanwhile, an adaptive control scheme is designed to regulate the vibration of the satellite when the actuator fails partially. Simulation results are demonstrated for illustration. It is proved that the proposed control scheme can handle the vibration of the flexible satellite as well as considering actuator fault-tolerant and input signal quantization simultaneously.
Biobjective optimization over the efficient set of multiobjective integer programming problem

In this article, an exact method is proposed to optimize two preference functions over the efficient set of a multiobjective integer linear program (MOILP). This kind of problems arises whenever two associated decision-makers have to optimize their respective preference functions over many efficient solutions. For this purpose, we develop a branch-and-cut algorithm based on linear programming, for finding efficient solutions in terms of both preference functions and MOILP problem, without explicitly enumerating all efficient solutions of MOILP problem. The branch and bound process, strengthened by efficient cuts and tests, allows us to prune a large number of nodes in the tree to avoid many solutions. An illustrative example and an experimental study are reported.
Conductivity, charge transport, and ferroelectricity of La-doped BaTiO3 epitaxial thin films

La-doped BaTiO3 thin films (BLTO) were deposited by pulsed laser deposition, and a comprehensive investigation on their conductivity, charge transport, and ferroelectricity was carried out. Resistivity-temperature (T) measurements demonstrate that the conductivity of Ba1−xLaxTiO3 (x = 0.05, 0.1, 0.2, 0.3, and 0.4) films can be largely regulated in a wide range. The BLTO film exhibits typical semiconductor conduction behavior for x ⩽ 0.3, whereas a typical metallic conduction behavior was observed for x = 0.4 at T > 240 K. The La doping concentration x also plays an important role on the charge transport mechanisms. For x ⩽ 0.3, the charge transport follows small-polaron hopping at low temperature (T < 300 K) and thermal excitation at high temperature (T ⩾ 300 K). While the charge transport for x = 0.4 changes from small-polaron hopping to thermal phonon scattering with the increase of temperature. Piezo-force microscopy measurements reveal that BLTO films exhibit ferroelectricity for La doping concentration x up to 0.4. These results demonstrated that La doping plays an important role in regulating the conductivity and charge transport in BLTO films. More importantly, we revealed experimentally that macro metallic conduction and ferroelectricity can coexist in the La-doped BaTiO3 epitaxial thin films.
Représentations gros-grain pour la modélisation des protéines : Propriétés mécaniques et interactions

Mes travaux de recherche portent sur le developpement de modeles gros-grains et d'algorithmes pour l'etude des proprietes mecaniques des proteines et des interactions proteine-proteine. Sur le plan mecanique, le programme ProPHet (Probing Protein Heterogeneity) permet de sonder la rigidite proteique a l'echelle du residu et d'etudier la reponse d'un systeme moleculaire soumis a une deformation anisotrope. Cette reponse mecanique peut etre mise en rapport avec les proprietes structurales de la proteine concernee (notamment j'agencement de ses differents elements de structure secondaire), mais aussi avec son fonctionnement biologique (comme l'activite enzymatique. Du point de vue des interactions proteine-proteine, l'analyse des resultats des calculs effectues avec le programme MAXDo (Macromolecular Association via Cross-Docking) sur une grille d'internautes )(WorldCommunityGrid) permet mieux comprendre la specificite des phenomenes de reconnaissance proteique
A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology

The widespread availability of high-dimensional biological data has made the simultaneous screening of many biological characteristics a central problem in computational and high-dimensional biology. As the dimensionality of datasets continues to grow, so too does the complexity of identifying biomarkers linked to exposure patterns. The statistical analysis of such data often relies upon parametric modeling assumptions motivated by convenience, inviting opportunities for model misspecification. While estimation frameworks incorporating flexible, data adaptive regression strategies can mitigate this, their standard variance estimators are often unstable in high-dimensional settings, resulting in inflated Type-I error even after standard multiple testing corrections. We adapt a shrinkage approach compatible with parametric modeling strategies to semiparametric variance estimators of a family of efficient, asymptotically linear estimators of causal effects, defined by counterfactual exposure contrasts. Augmenting the inferential stability of these estimators in high-dimensional settings yields a data adaptive approach for robustly uncovering stable causal associations, even when sample sizes are limited. Our generalized variance estimator is evaluated against appropriate alternatives in numerical experiments, and an open source R/Bioconductor package, biotmle, is introduced. The proposal is demonstrated in an analysis of high-dimensional DNA methylation data from an observational study on the epigenetic effects of tobacco smoking.
Ação de micro-jatos cônicos em superfícies sólidas

No presente trabalho são estudados a formação e a ação de micro-jatos oriundos do colapso de bolhas, ou cavidades, em água. Este estudo aborda desde a física e a geometria de sua formação até os resultados da ação destes micro-jatos em superfícies em alumínio utilizados na fabricação de rotor de bombas centrífugas radiais, notadamente a erosão por cavitação. Estudos experimentais também são realizados pela utilização do equipamento a disco rotativo compacto, projetado e montado no Departamento de Engenharia Mecânica da Udesc. Os resultados experimentais são comparados com os obtidos pela análise teórica, visando uma explicação para as formas resultantes da erosão por cavitação.