Miracle-dz/UniFAR-FTUs huggingface dataset:
Folding deformation modeling and simulation of 4D printed bilayer structures considering the thickness ratio

This paper addresses the problem of deformation modeling and simulation of 4D printed polymeric bilayer structures considering the thickness ratio. Through an equivalent transformation, the folding deformation model is transformed into two simpler deformation models, stretching and bending, which greatly reduces the complexity of the modeling problem. The stretching deformation model is developed by Hooke’s law, and based on the final strain of the stretching deformation, which is determined by the thickness ratio, a new hyperelastic energy density function considering the thickness ratio is defined to calculate the energy of the bilayer structure during the bending deformation. According to the new energy density function, the bending deformation model considering the thickness ratio is developed by minimizing the energy of the bilayer structure during the bending deformation. Numerical simulations show encouraging results obtained by the proposed model.
379 MEASURING PRACTICE IMMUNIZATION RATES IN THE ERA OF HIPAA: A STUDY FROM PROS

Background Measuring practice-specific immunization rates has become more complicated with HIPAA. Objective To validate a new, HIPAA-compliant method for tracking immunization rates. Methods Five practices in the AAP's practice-based research network, Pediatric Research in Office Setting Network (PROS), collected immunization data on 50 consecutive patients aged 8-35 months using two methods. The reference standard method used two trained research nurses independently examining photocopied patient Vaccine Administration Records with resolution of any disagreement. In the quick-count (QC) method, each office staff recorded counts of the number of patient vaccine doses without submitting patient identifiable information. Up-to-date immunization status (UTD) at 8 months of age was assessed for each patient. Vaccines assessed were DTaP, Hib, Hep B, and polio vaccines. UTD was defined as 3 DTaP, 2 Hib, 2 Hep B and 2 polio vaccines. Measures examined included kappa, sensitivity, specificity, positive predictive value, and negative predictive value. Results Both methods were used to assess 237 patients. The mean percentage of patients' UTD by 8 months of age using the reference standard method was 93% (practice range 85%-98%). The mean percentage of patients UTD by the QC method was 92% (practice range 83%-98%). No significant difference was found between the methods in assessing an individual's UTD immunization status (McNemar's test p > .18). Agreement with the reference standard was excellent (kappa = 0.85). QC was highly sensitive in determining up-to-date immunization status (99.5%) and had a specificity of (79%). QC had a positive predictive value for up-to-date immunizations of (98%) and negative predictive value of (94%). A debriefing survey demonstrated that all practices found the QC data collection form easy to follow. Conclusion We found the QC method to be a valid, reliable, and HIPAA-compliant tool for assessing practice immunization rates. In this era of increased patient privacy concerns, this new method of efficiently extracting immunization information will be a valuable tool for research and quality improvement directed at improving immunization rates.
Modelo semi-supervisionado aplicado à previsão da eficiência da quimioterapia neoadjuvante no tratamento de câncer de mama

O câncer de mama e o tipo de câncer que mais atinge as mulheres no mundo e e o segundo tipo de câncer mais comum, perdendo apenas para o de pulmao. Existem diversos fatores que potencializam o risco de desenvolve-lo e tambem que o minimizam como alimentacao saudavel e exercicios fisicos. Contudo, a prevencao e mesmo a arma mais eficaz contra o câncer. Sua deteccao prematura aumenta as chances do paciente se curar e passar por menos transtornos no tratamento. O tratamento do câncer de mama constitui-se de tres etapas, sendo o tratamento quimeoterapico neoadjuvante ou pre-cirurgico, a cirurgia propriamente dita e o tratamento quimeoterapico adjuvante ou pos-cirurgico. E fato que os tratamentos quimeoterapicos impoem grandes sofrimentos aos pacintes e no caso da quimeoterapia neoadjuvante cerca de 30% apenas dos pacientes apresentam alguma resposta positiva, seja na reducao do tumor, seja na completa eliminacao do mesmo dispensando a cirurgia. O grande desejo dos medicos e dispor de algum meio para prever a resposta dos pacientes ao tratamento pre-cirurgico, evitando assim, que aqueles que nao responderiam bem ao tratamento precisem passar por todo este sofrimento desnecessariamente. Os exames clinicos nao sao suficientes para se tomar a decisao de aplicar ou nao o tratamento, mas com o desenvolvimento de novas tecnicas de exames geneticos uma nova esperanca surge e talvez seja possivel desenvolver uma ferramenta que auxilie os medicos no tratamento de pacientes com câncer de mama. Foram coletados os dados de expressao genetica de pacientes nos Estados Unidos e na Franca. Como o metodo implementado e semi-supervisionado parte dos dados serao considerados como rotulados e outra parte como nao rotulados e a ideia e, a partir do treinamento de uma rede MLP com os dados rotulados, em conjunto com a informacao de margem geometrica calculada tanto para os dados de treinamento como para os dados nao rotulados, tentar chegar a uma solucao que classifique bem ambos os conjuntos de dados. A proposta deste trabalho e calcular geometricamente a margem dos dados de entrada para ser utilizado como informacao de distribuicao dos dados no metodo semi-supervisionado mas a grande dificuldade e calcula-la para o conjunto de dados nao-rotulados. Para viabilizar o calculo da margem geometrica foi necessario entao desenvolver uma maneira de identificar os padroes limites entre as classes, utilizando o metodo de agrupamento Fuzzy (FCM) e o fatiamento do espaco dos padroes que e proposto neste trabalho.
Radiance enhancement and shortwave upwelling radiative flux methods for efficient detection of cloud scenes

The description, imagery and interpretation of cloud scenes by remote sensing datasets from Earth-orbiting satellites have become a great debate for several decades. Presently, there are many models for cloud detection and its classifications have been reported. However, none of the existing models can efficiently detect the clouds within the small band of shortwave upwelling radiative wavelength flux (SWupRF) in the spectral range from 1100 to 1700 nm. Therefore, in order to detect the clouds more effectively, a method known as the radiance enhancement (RE) can be implemented (Siddiqui et al., 2015). This article proposes new approaches how with RE and SWupRF methods to distinguish cloud scenes by space orbiting Argus 1000 micro-spectrometer utilizing the GENSPECT line-by-line radiative transfer model (Quine and Drummond, 2002; Siddiqui, 2017). This RE approach can also be used within the selected wavelength band for the detection of combustion-originated aerosols due to seasonal forest fires.
Waveform-Selective Mantle Cloaks for Intelligent Antennas

We present the design of an innovative wire antenna able to automatically hide or reveal its presence depending on the waveform of the received/transmitted signal. This unconventional behavior is achieved through the use of a novel waveform-selective cloaking metasurface exploiting a meander-like unit cell loaded with a lumped-element circuit capable to engineer the scattering of the antenna depending on the waveform of the impinging signal. Due to the time-domain response of the lumped-element circuit, the antenna is able switching its scattering behavior when interacts with either a pulsed wave (PW) or a continuous wave (CW) signal. The proposed configuration paves the way to a new generation of cloaking devices for intelligent antenna systems, extending the concept of antenna as a device capable to sense the external environment and change its electromagnetic behavior accordingly.
A Thin Double-Mesh Metamaterial Radome for Wide-Angle and Broadband Applications at Millimeter-Wave Frequencies

Antireflection has been a critical part in the design of optical and opto-electronic instruments. In the emerging millimeter (mm)-wave technology for the next-generation communication and autonomous driving, antireflection treatment is increasingly important due to the quasi-optical nature of electromagnetic waves at high frequencies. Enclosures that protect radar or communication phased arrays will introduce reflections if they are not designed properly. In this article, a novel metamaterial radome (meta-radome) is developed based on closely spaced metallic square meshes patterned on a thin dielectric substrate. We show that by deliberately employing the coupling between the meshes, the entire structure can be treated as a homogenized metamaterial slab with its wave impedance matched to that of free space. The resulting meta-radome can be optimized to have good transmission (> 90%) over an extremely wide range of angles of incidence (0° – 80°) for both transverse-electric (TE) and transverse-magnetic (TM) polarizations. Since the meta-radome is not resonant, it has a very small Ohmic loss and broad bandwidth. In addition, the proposed meta-radome is very easy to fabricate with standard fabrication techniques. Thus, it can be very attractive for many practical microwave and mm-wave applications.
A Low-Profile and Wideband Triple-Mode Antenna for Wireless Body Area Network Concurrent On-/Off-Body Communications

In this article, a low-profile and wideband triple-port printed antenna for wireless body area network (WBAN) on-body and off-body communications is presented. Three ports are responsible for exciting three different patterns that are orthogonal to each other, including a vertically polarized omnidirectional pattern and two horizontally polarized broadside patterns with radiated fields polarized along the <italic>x-</italic> and <inline-formula> <tex-math notation="LaTeX">${y}$ </tex-math></inline-formula>-directions, respectively. In particular, the vertically polarized pattern is achieved by loading an annular array of metallic vias connected to a pin-fed patch antenna on the bottom, while the horizontally polarized patterns are enabled by a closely spaced modified E-shaped stacked patch on the top with additional slot cuts. The integrated antenna was fabricated and characterized, achieving a measured wide <inline-formula> <tex-math notation="LaTeX">$S_{11} < -10$ </tex-math></inline-formula> dB bandwidth of nearly 14%, a mutual coupling smaller than −15 dB, and an envelope correlation coefficient of less than 0.01. Further numerical and experimental investigations reveal that the proposed antenna has robust electrical properties under both structural deformation and human body loading. The superior performance indicates that the demonstrated antenna is a promising candidate for WBAN devices that can simultaneously support multiple communication modes as well as for other MIMO communications and sensing systems.
Comparison of the interface and border traps of nanolaminate and bilayer structures of Al2O3 and HfO2 on In0.53Ga0.47As

This study is a comparison of interface and border traps of nanolaminate and bilayer structures of Al2O3 and HfO2 with those of single layers on an In0.53Ga0. 47As substrate. The nanolaminate structure shows better trap minimalization in both trap cases along with lower hysteresis and leakage current density and higher breakdown field than the bilayer structures. X-ray photoelectron spectroscopy (XPS) was used to quantify the microstructural properties, and a combination of XPS and reflected electron energy loss spectrum analysis was used to calculate the bandgap of deposited films. Al incorporation into HfO2 increases the bandgap and band offsets.
Spectroscopic properties of odd-mass rare-earth nuclei in the hf-bcs approach using the density dependent delta interaction

Pairing correlations play an important role in the description of nuclear properties such as binding energy, odd-even mass staggering (OES) and it continues to be important when going towards extremely deformed nuclear shapes. It is therefore important that pairing is treated in the best way possible within any theoretical framework. In this work, we present an exploratory study investigating the effect of using a pairing interaction called the density dependent delta interaction (DDDI) in the calculation of band-head energies of odd-mass nuclei. In this preliminary work, the pairing strengths were fitted to the OES of (162,163,164)Gd isotopes assuming that the proton and neutron pairing strengths to be similar. Calculations of the odd-mass nuclei were performed by blocking one single-particle state in which its third-component of the single-particle total angular momentum and parity matches the intended experimental nuclear spin and parity. The optimal pairing strength was found to be 1216 MeV fm^3. Theoretical data of intrinsic and spectroscopic quadrupole moment, magnetic moment and band-head for odd-mass nuclei are presented. Disagreement between theoretical band-head of (161)Gd with that of experimental data is probably due to its intrinsic nature and to be fixed with rotational correction.
A STUDY OF THE IMPACT OF EMOTIONAL INTELLIGENCE TRAINING IN PHYSIOTHERAPY INTERNS A PILOT STUDY

Background: Physiotherapy is a branch of medicine where development of a good rapport between patient and therapist coupled with presence of a caring attitude and emotional understanding of patients would facilitate faster recovery. This study assessed the effect of Emotional Intelligence (EI) training in physiotherapy interns to help them understand their patients better and enhance their self awareness while patient’s perceived change in care was examined. Methods: 8 physiotherapy interns completed an EI scale at the start and end of the study. A scale assessing change in Consultation and Relational Empathy (CARE) was administered to patients prior to and after the EI training. A retrospective pre and post questionnaire was helped assess change in personal attitude and awareness for the interns. All interns were trained using 6 modules on EI via lectures, case vignettes and discussions. Results: Statistically significant differences in scores were noted on the EI scale, retrospective pre and post questionnaire and the CARE questionnaire (p< 0.05). A correlation done between the retro-post questionnaire and post training CARE scale scores revealed a positive correlation between patient perception of better care and enhanced self awareness in interns (r = 0.88847, p = 0.00318). Conclusion: EI training helped improving patient care and self awareness in physiotherapy interns leading to better care being perceived by patients. This study demonstrates the educational value of EI training emphasizing the need for the regular inclusion of EI training in physiotherapy training curriculums. Further studies to validate these findings are warranted.
Global finite‐time stabilization for a class of high‐order switched nonlinear systems via sampled‐data control

This paper investigates the global finite‐time stabilization for a class of high‐order switched nonlinear systems via the sampled‐data output feedback control. Firstly, we design a continuous‐time output feedback controller for the nominal part via adding a power integrator technique. Based on the homogeneous theory, together with the Gronwall‐Bellman inequality, a sampled‐data output feedback controller is designed with suitable sampling periods to ensure that the closed‐loop system can be globally stabilized in finite time. In the meantime, the proposed control method can be extended to the switched nonlinear systems with an upper‐triangular growth condition. Finally, two examples are presented to illustrate the validity of the proposed control scheme.
An Online Incentive Mechanism for Collaborative Task Offloading in Mobile Edge Computing

This paper discusses incentive mechanism design for collaborative task offloading in mobile edge computing (MEC). Different from most existing work in the literature that was based on offline settings, in this paper, an online truthful mechanism integrating computation and communication resource allocation is proposed. In our system model, upon the arrival of a smartphone user who requests task offloading, the base station (BS) needs to make a decision right away without knowing any future information on i) whether to accept or reject this task offloading request and ii) if accepted, who to execute the task (the BS itself or nearby smartphone users called collaborators). By considering each task’s specific requirements in terms of data size, delay, and preference, we formulate a social-welfare-maximization problem, which integrates collaborator selection, communication and computation resource allocation, transmission and computation time scheduling, as well as pricing policy design. To solve this complicated problem, a novel online mechanism is proposed based on the primal-dual optimization framework. Theoretical analyses show that our mechanism can guarantee feasibility, truthfulness, and computational efficiency (competitive ratio of 3). We further use comprehensive simulations to validate our analyses and the properties of our proposed mechanism.
Markov Perfect Equilibria in Non-Stationary Mean-Field Games

In this paper, we consider both finite and infinite horizon discounted dynamic mean-field games where there is a large population of homogeneous players sequentially making strategic decisions and each player is affected by other players through an aggregate population state. Each player has a private type that only she observes. Such games have been studied in the literature under simplifying assumption that population state dynamics are stationary. In this paper, we consider non-stationary population state dynamics and present a novel backward recursive algorithm to compute Markov perfect equilibrium (MPE) that depend on both, a player's private type, and current (dynamic) population state. Using this algorithm, we study a security problem in cyberphysical system where infected nodes put negative externality on the system, and each node makes a decision to get vaccinated. We numerically compute MPE of the game.
Confidence regions for bivariate probability density functions using polygonal areas

In this study, a polygonal approach is suggested to generalize the notion of the condence region of the univariate probability density function for the bivariate probability density function. The equal density approach is used to demonstrate that condence regions can be polygonal shapes. The bisection method is the preferred method in nding the equal density value that reveals the desired condence coecient. Condence regions estimate not only bivariate unimodal probability functions but also bivariate multimodal probability functions. An approach is enhanced to estimate these condence regions for probability density functions which are dened as rectangular, polygonal and innite expanse areas.
An improved adaptive unscented Kalman filter for estimating the states of in‐wheel‐motored electric vehicle

Vehicle state is essential for active safety stability control. However, the accurate measurement of some vehicle states is difficult to achieve without the use of expensive equipment. To improve estimation accuracy in real time, this paper proposes an estimator of vehicle velocity based on the adaptive unscented Kalman filter (AUKF) for an in‐wheel‐motored electric vehicle (IWMEV). Given the merits of an independent drive structure, the tire forces of the IWMEV can be directly calculated through a vehicle dynamic model. Additionally, by means of the normalized innovation square, the validity of vehicle velocity estimation can be detected, and the sliding window length can be adjusted adaptively; thus, the steady‐state error and the dynamic performance of the IWMEV are demonstrated to be simultaneously improved over an alternative approach in comparisons. Then, an adaptive adjustment strategy for the noise covariance matrices is introduced to overcome the impact of parameter uncertainties. The numerically simulated and experimental results prove that the proposed vehicle velocity estimator based on AUKF not only improves estimation accuracy but also possesses strong robustness against parameter uncertainties. The deployment of the estimation algorithm by using a single‐chip microcomputer verifies the strong real‐time performance and easy‐to‐implement characteristics of the proposed algorithm.
Birefringence Measurement by Expandable Polarization Interference Method

In this article, an improved polarization interference method is proposed for fiber birefringence measurement. This method uses two different lengths of a birefringence fiber with their birefringent axes orthogonally coupled to compensate the phase difference and achieve the required pitch in interferogram for determining birefringence accurately. Experiments and analysis demonstrate that the method could offer improved accuracy and expanded range in birefringence measurement with relatively low spectral resolution systems.
Investigation of filtering of rain streaks affected video sequences under various quantisation parameter in HEVC encoder using an enhanced V-BM4D algorithm

This study proposes an enhanced video block matching four-dimensional (V-BM4D) denoising algorithm for highly correlated rain streaks pattern video sequence in high-efficiency video coding (HEVC) encoder. Removal of structural rain streaks from high definition (HD) video sequences are challenging issues in real-time video application. Temporal information of original video sequences is distorted among the successive video frames due to the presence of natural degradation parameters such as fog, smog and rain streaks. Rain streaks are highly correlated structural noise pattern, which affects the nature of video frame compared to other natural degradations. Existing HEVC encoder is employed with in-loop filtering to protect the temporal information of original video sequences from rain streaks pattern. However, in-loop filtering is unable to remove the highly directional oriented rain pattern from video frames. To retain temporal information among the successive video frames, enhanced block matching denoising block is adopted in HEVC coder. The proposed enhanced VBM4D- based in-loop filtering eliminates the various level of rain streaks from the HD video sequences by temporal information prediction in 4D platform. Experimental results demonstrate that the proposed denoising algorithm yields better peak signal to noise ratio value and provides better bit rate saving for various HEVC configuration.