Miracle-dz/UniFAR-FTUs huggingface dataset:
Image-independent optimal non-negative integer bit allocation technique for the DCT-based image transform coders

The optimum non-negative integer bit allocation (ONIBA) is an important technique, which provides optimal quantisation of transform coefficients for the image transform coders (ITCs). However, the existing ONIBA algorithms are still not popular for the discrete cosine transform (DCT)-based ITCs, due to their image-dependent nature and additional side information requirements. Therefore, this study presents a novel image-independent ONIBA (IIONIBA) technique to achieve efficient quantisation for the DCT-ITCs. For the development of the proposed IIONIBA technique, initially, an image-dependent ONIBA algorithm is proposed, which is then mapped into desired image-independent solution via utilisation of a prepared combined image and proposed modified step size mapping technique. Thereafter, a new lookup table for the elements of quantisation tables, obtained from the proposed IIONIBA technique, is established using non-linear regression analysis, to reduce the problem of additional side information requirements. Several experiments are performed to evaluate the performance of the proposed IIONIBA technique based on the visual quality assessment of reconstructed images and the image quality indexes peak signal to noise ratio (PSNR) and mean structural similarity index (MSSIM). The results show that the proposed IIONIBA technique delivers better quantisation and provides significant gains in the image quality indexes as compared to the recent quantisation techniques.
A distinct inflammatory marker pattern in patients with aromatase inhibitor (AI)-induced musculoskeletal symptoms.

Abstract #1129 Background. AI-associated musculoskeletal symptoms (AIMSS) have been reported in up to 50% of treated patients. Inflammatory processes can occur in cancer patients, and inflammatory mediators including interleukins, interferons, MMPs and immunoregulatory molecules have been associated with estrogen signaling. Ceramide and sphingosine-1-phosphate (S1P) are lipid mediators with roles in inflammation. We hypothesized that AIMSS may develop in the context of increased circulating inflammatory markers. Methods. Cases (n=24) were selected from 150 early stage ER-positive breast cancer patients who were enrolled on a prospective multicenter randomized trial of exemestane or letrozole. Changes in pain and function during therapy were assessed prospectively, and those patients whose symptoms exceeded a predefined threshold were referred for detailed rheumatologic evaluation. Controls (n=30), who did not develop AIMSS that exceeded the threshold, were matched for age, ethnicity, and prior chemotherapy. Serum samples collected at baseline and 1 and 6 mo following AI initiation were assayed in a blinded manner. The majority of inflammatory molecules were quantified in serum using an addressable laser bead multiplex assay (BMD, Paris) on a Luminex S100 analyzer (Austin, TX). Ceramide and S1P were alkaline chloroform/methanol-extracted from serum, 32P-labeled, and quantified using autoradiography. Statistical comparisons between cases and controls for each factor were performed using the non-parametric Mann-Whitney test or by log transforming the data and using unpaired two-tailed t tests. Results. The mean serum concentrations for the majority of assayed factors (IFNγ, IL1Rα, IL2/4/5/7/10/15/17, IL2R, IL12p40, IP10, MIP1α, MIG, bFGF, HGF, GCSF, and GMCSF) were significantly lower at baseline in cases compared to controls (p Conclusions. Subjects who develop AIMSS appear to have an underlying anergic cytokine phenotype at baseline. During AI therapy, patients with AIMSS develop higher levels of S1P, a potential inflammatory mediator known to induce COX2 and NFκB. These hypothesis-generating results suggest a potential mechanism underlying the development of AIMSS, distinct from other rheumatologic conditions. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 1129.
Upper and lower bounds for the optimal constant in the extended Sobolev inequality. Derivation and numerical results

We prove and give numerical results for two lower bounds and eleven upper bounds to the optimal constant k0 = k0(n,α) in the inequality ∥u∥2n/(n-2α) ≤ k0 ∥∇u∥α2 ∥u∥1-α 2, u ∈ H1(ℝn), for n = 1, 0
Nonlinear compression of high-power laser pulses: compression after compressor approach

The peak power of present-day lasers is limited by the pulse energy that the diffraction gratings of an optical compressor can withstand. A promising method to overcome this limitation is reviewed: the pulse power is increased by shortening its duration rather than increasing the pulse energy, the pulse being shortened after passing a compressor (Compression after Compressor Approach (CafCA)). For this purpose, the pulse spectrum is broadened as a result of self-phase modulation, and the pulse is then compressed by dispersion mirrors. Application of this idea, known since the 1960s, to lasers whose power is over 1 TW has been restrained until recently by a number of physical problems. These problems and possible methods to solve them are discussed in detail. The experimental results obtained over the past few years demonstrate the efficiency of the technique (compression by a factor of 5) in the range up to 250 TW. CafCA features three undisputed merits: simplicity and low cost, negligible loss of pulse energy, and applicability to any high-power laser.
Error growth in the Mesosphere and Lower Thermosphere Based on Hindcast Experiments in a Whole Atmosphere Model

The capability to forecast conditions in the mesosphere and lower thermosphere is investigated based on 30‐day hindcast experiments that were initialized bimonthly during 2009 and 2010. The hindcasts were performed using the Whole Atmosphere Community Climate Model with thermosphere‐ionosphere eXtension (WACCMX) with data assimilation provided by the Data Assimilation Research Testbed (DART) ensemble Kalman filter. Analysis of the WACCMX+DART hindcasts reveals several important features that are relevant to forecasting the middle atmosphere. The results show a clear dependence on spatial scale, with the slowest error growth occurring in the zonal mean and the fastest error growth occurring for small‐scale waves. The error growth rate is also found to be significantly greater in the upper mesosphere and lower thermosphere compared to in the upper stratosphere to lower mesosphere, suggesting that the forecast skill decreases with increasing altitude. The results demonstrate that the errors in the lower thermosphere reach saturation, on average, in less than 5 days, at least with the current version of WACCMX+DART. A seasonal dependency to the error growth is found at high latitudes in the Northern and Southern Hemispheres but not in the tropics or global average. We additionally investigate the error growth rates for migrating and nonmigrating atmospheric tides and find that the errors saturate after ∼5 days for tides in the lower thermosphere. The results provide an initial assessment of the error growth rates in the mesosphere and lower thermosphere and are relevant for understanding how whole atmosphere models can potentially improve space weather forecasting.
Poster: Ultimate Power of Inference Attacks: Privacy Risks of Learning High-Dimensional Graphical Models

Models leak information about their training data. How much is the privacy risk of releasing such models which are trained on sensitive data? We focus on measuring information leakage from models about their training data, using tracing (membership inference) attacks. Given the released model and a target data sample, the adversary aims at inferring whether or not the target sample was a member of the training set. We use the term tracing attack and membership inference attack interchangeably [1], [2]. The attack is evaluated based on the power (true positive rate) and error (false positive rate), in its binary decisional task. Tracing attacks have been extensively studied for summary statistics, where independent statistics (e.g., mean) of attributes of high-dimensional data are released. Although initial works showed the existence of powerful tracing attacks [3], more recent work provided theoretical frameworks to analyze the upper bound on the power of these inference attacks [4], and their robustness to noisy statistics [1]. Advanced machine learning models, such as deep neural networks, have recently been tested against tracing attacks [2]. However, their analysis is limited to empirical measurements of the attack success on particular data sets. Contributions: Using the above-mentioned existing methods, it is possible to reason theoretically about tracing attacks, yet only for extremely simple models (independent statistics). In parallel, it is possible to perform empirical tracing attacks against complex models (deep neural networks), yet without much theoretical analysis on the maximum power of such attacks. In this paper, we aim at bridging this gap by providing a theoretical bound on the performance of tracing attacks against high dimensional graphical models, i.e. graphical models with many parameters, with focus on Bayesian Networks. We use the likelihood ratio test (LR test) as the foundation of our tracing attack [4]. This enables us to design the most powerful attack against any probabilistic model. Thus, for any given error, there exists no other attack strategy that can achieve a higher power. Our objective is to identify the elements of a model that cause membership information leakage, and measure their influence. We prove that, for a given model structure, the potential leakage of the model (the leakage that corresponds to the most powerful attack for any given error) is proportional to the square root of model’s complexity (defined as the number of its independent parameters), and is inversely proportional to the square root of size of training set. Thus, the theoretical bound enables us to quantify the potential leakage of a model before even learning the parameters of the model on that structure.
Doctors' professional stress and its relation with their mental health

Objective To study the doctors' professional stress and its relation with their mental health.Methods Using the Professional Stressors Scale and SCL-90 a sample of 303 doctors was tested.Results Doctors who experienced medium and high degree of stress accounted for 19.5% and 2.3% respectively.The highest stressors of the doctors were stressors caused by working treatment load,professional level and medical treatment risk.The degree of some stressors of the doctors showed significant differences on age and gender factors.Factor scores and total score of Professional Stressors Scale were positively correlated with factor scores of SCL-90.Professional stressors could forecast the mental health of the doctors positively and remarkably.Conclusion The professional stress of doctors widely exists,which seriously influences the mental health of doctors.
Controlling lanthanide-doped upconversion nanoparticles for brighter luminescence

This review focuses on the enhancement of upconversion luminescence from lanthanide-doped nanoparticles. The unique luminescence capability of long-wavelength absorption and then efficient short-wavelength radiation makes these nanoparticles have attractive potential in numerous photonic and biophotonic fields. However, the dark luminescence limited by the low upconversion quantum yield hinders their applications in in vivo and in photovoltaics. In this work, we first present the fundamental concepts of upconversion luminescence based on energy transfer upconversion, which is the most widespread and the efficient upconversion process. Subsequently, we present the varying strategies to enhance upconversion luminescence intensity from the excitation, energy transfer, and radiation perspectives.
Closure conditions for a one temperature non-equilibrium multi-component model of baer-nunziato type

A class of non-equilibrium models for compressible multi-component uids is investigated. These models are subject to the choice of interfacial pressures and interfacial velocity as well as relaxation terms for velocity, pressure and chemical potentials. Sufficient conditions are derived for these quantities that ensure meaningful physical properties such as a non-negative entropy production and thermodynamical stability as well as mathematical properties such as hyperbolicity. For the relaxation of chemical potentials a three-component model gas-water-vapor is considered.
Wideband Circularly Polarized 3-D Printed Dielectric Rod Antenna

This article presents a 3-D-printed dielectric rod antenna with wideband circular polarization. The proposed dielectric device comprises two main components: a launching part and a radiating part. The launching part consists of three cylindrical sections with stepped permittivity for wideband impedance matching to the rectangular waveguide feed. The radiating part is a tapered dielectric rod with two helical grooves that generate circular polarization. The experimental results verify that the proposed antenna exhibits a wide impedance bandwidth of 60.3% from 4.05 to 7.55 GHz, a wide 3 dB axial ratio bandwidth of 57.0% from 4.20 to 7.55 GHz, a high realized gain varying within 8.3 and 11.5 dBiC over the whole band, and the desired stable endfire radiation patterns. The 3-D printing technology provides a viable approach to realization of the proposed complicated geometry in a single piece with high accuracy and great flexibility.
Quantum Correlated Plasmons and Their Tunability in Undoped and Doped Mott-Insulator Cuprates

Plasmons, collective excitations of charge density, have attracted much interest in fundamental science and applications. While plasmons have been observed in metal-like phase of high-Tc superconductors, they have not been reported in the Mott-insulating form. Here, we report a new quantum correlated plasmons in ambipolar Y1–zLaz(Ba1–xLax)2Cu3Oy and optimal-doped YBa2Cu3O7–x using high-resolution spectroscopic ellipsometry. Interestingly, as functions of hole, electron-doping, and temperature, their dynamical loss-function and dielectric-functions exhibit formation of two plasmons at multiple ordered low- and high-photon energies due to on-site Cu3d Coulomb interaction and antibonding O2p–Cu3d. While the low-energy correlated plasmon transforms into a conventional-plasmon upon doping, the high-energy correlated plasmon remains. The intensity of these plasmons follows a mixture of singlet and triplet with decreasing temperature. Besides, their dephasing time decreases with increasing doping. Our result hig.
Integral Indicators Based on Competitiveness Capacity Characteristics of Regional Real Estate Markets of Ukraine

This article summarises the methodological approaches, principles, methods, and tools of scientific knowledge inherent in a single complex research model of regional residential real estate markets competitiveness (RREM). The development and implementation of the proposed model can provide a deep regional analysis of component imbalances, and the implementation of the methodological steps can foster the comparative and targeted analysis of Ukrainian regions. The methodological tools of this complex study of the country’s RREM as well as the strategic and tactical measures for its further regulation have been developed based on a comprehensive review of methodological principles and approaches. The basis of this study takes onto account general scientific and special knowledge of economic phenomena and processes. The scientific background developed was both empirical and theoretical. At the empirical level, observation, measurement, experiment and modelling were employed, while equal importance was placed on the special methodological principles involved. Achievement of the research goals required the use of such methods as: balance and index, decomposition, aggregation, analogous, logical, classification, ranking and extrapolation, expert evaluations and systematization along with a direct survey. In order to determine the level of regional housing market competitiveness, the implementation of future analytical assessments was carried out with regard to the following integrated factors: housing demand, housing supply, housing affordability, purchasing capacity of citizens, the region’s comfort level, as well as certain geographical and cultural features of the region.
Dual-Band Differential Shifted-Feed Microstrip Grid Array Antenna With Two Parasitic Patches

A dual-band differential shifted-feed microstrip grid array antenna (DSF-MGAA) with two parasitic patches is presented in this communication. By moving the feed location, a conventional MGAA (C-MGAA) can be turned into an SF-MGAA for dual-band operation. The high-frequency band of SF-MGAA corresponds to the operation mode of the C-MGAA, and its low-frequency band is similar to that of the patch or meshed patch antenna. A new differential feeding scheme and two parasitic patches are adopted to improve the impedance bandwidth of SF-MGAA. The proposed DSF-MGAA can cover a dual band of 3.7 and 28.5 GHz. The measured −10 dB impedance bandwidths of 3.4% and 4.5%, which correspond to the peak gains of 8.98 and 19.2 dBi, are obtained in the low- and high-frequency bands, respectively. The DSF-MGAA can be a potential candidate for the future dual-band wireless communication.
Anaemia in inflammatory bowel disease – aetiopathogenesis, diagnosis and management

Niedokrwistośc jest najczestszym ukladowym powiklaniem nieswoistych zapalen jelit (NZJ), znacząco wplywającym na ogolny stan kliniczny chorego oraz stanowiącym istotną przyczyne pogorszenia jakości zycia i czestszych hospitalizacji. Patofizjologia anemii w NZJ jest wieloczynnikowa. Najczestszymi postaciami niedokrwistości są anemia niedoborowa oraz niedokrwistośc choroby przewleklej. Pomimo ze w okresie zaostrzenia jest to zwykle ogolnoustrojowa manifestacja choroby, w fazie remisji takze czesto obserwuje sie niedokrwistośc z niedoboru zelaza, witaminy B12 czy kwasu foliowego. Sposob leczenia anemii z niedoboru zelaza zalezy od stopnia aktywności choroby oraz nasilenia objawow klinicznych. U pacjentow z umiarkowaną niedokrwistością sideropeniczną wystarczająca moze byc suplementacja doustnymi preparatami zelaza, ktorych stosowanie moze sie jednak wiązac z wystąpieniem objawow nietolerancji oraz zaostrzeniem stanu zapalnego. Dozylne uzupelnianie niedoborow jest natomiast korzystną i dobrze tolerowaną metodą leczenia niedoborow zelaza u chorych z NZJ, pozwalającą na szybkie uzupelnienie rezerw zelaza. W niektorych przypadkach konieczne jest leczenie erytropoetyną. W praktyce klinicznej niezbedna jest znajomośc tej tematyki oraz zalecen postepowania w niedokrwistości u chorych z NZJ. Abstract
Avaliação sobre Protocolos de Encaminhamento em Redes Veiculares Tolerantes a Atrasos e Desconexões

Redes Veiculares Tolerantes a Atrasos e Desconexoes (VDTNs) sao usadas em ambientes nos quais as Redes Veiculares comuns sao ineficientes, como locais remotos que nao possuem conexao constante. Para que isso seja possivel, protocolos de encaminhamento de dados especificos devem ser utilizados. Neste artigo, sao comparados os protocolos de encaminhamento: Epidemic, First Contact, Maxprop e Spray and Wait a fim de apontar o melhor protocolo. As metricas usadas para medir o desempenho dos diferentes protocolos foram: Probabilidade de Entrega dos pacotes, Sobrecarga da Rede e Latencia Media. Sob analise desses criterios, o protocolo Spray and Wait obteve o melhor desempenho ja que teve melhores resultados em duas das tres metricas. O estudo tambem apontou a escolha do Protocolo de encaminhamento como de maior impacto na Probabilidade de Entrega, Sobrecarga da Rede e no numero de Tempo de Vida de Pacote na Latencia Media da Rede, guiando engenheiros na montagem de VDTNs.
Error estimates of structure‐preserving Fourier pseudospectral methods for the fractional Schrödinger equation

This paper gives a rigorous error analysis of the multisymplectic Fourier pseudospectral method for the nonlinear fractional Schrödinger equation. The method preserves some intrinsic structure properties including the generalized multisymplectic conservation law. By rewriting it in a matrix form similar to that in the finite difference method, the method is shown to be convergent in the discrete L2 norm with the second‐order accuracy in time and spectral accuracy in space. The key techniques in the analysis include the discrete energy method, cutoff of the nonlinearity, and a posterior bound of numerical solutions by using the inverse inequality. In a similar line, the convergence result for the symplectic Fourier pseudospectral method can also be established. Moreover, the errors in the local and global energy conservation laws of discrete systems are also investigated. Numerical tests are performed to confirm the theoretical results.
Strong sequences and their consequences in social choice

One of the most famous theorems in social choice theory – Arrow impossibility theorem – was published in 1951. Since Arrowian paper most researchers tried to find different versions of this theorem not only for finite but also for infinite sets of alternative and individuals, where one can treat this situation as anticipation for future social behaviour. The aim of this paper is to find some results concerning social voting for infinite sets using one of the combinatorial methods of set theory – strong sequences method. This method was introduced by Efimov in 1965 for proving wellknown theorems in dyadic spaces, (i.e. continuous images of the Cantor cube).
Steady-State Mean-Square Performance Analysis of the Affine Projection Sign Algorithm

Due to the robustness against impulsive noises and colored inputs, the affine projection sign algorithm (APSA) is widely used in practice. However, the steady-state mean-square performance of the algorithm has not been analyzed. In this brief, we perform the steady-state mean-square analysis of the APSA by using the energy conservation arguments, the Price’s theorem and some reasonable assumptions. The range of the step size is provided to guarantee the stability of the algorithm. The expression of the steady-state excess mean-square error (EMSE) is also presented. Simulation results confirm the accuracy of the proposed expressions under different operating scenarios.
ESTIMASI PARAMETER REGRESI KUANTIL DENGAN FUNGSI SPLINE TRUNCATED PADA KASUS DEMAM BERDARAH DENGUE DI KOTA SURABAYA

Metode regresi kuantil merupakan perluasan model regresi pada kuantil bersyarat dimana distribusi kuantil bersyarat dari variabel respon dinyatakan sebagai fungsi dari kovariat yang diamati. Spline merupakan potongan polinomial yang kontinu, sehingga dapat menggambarkan karakteristik lokal pada data. Penelitian ini memodelkan Regresi Kuantil dengan Fungsi Spline Truncated pada kasus DBD di Kota Surabaya. Estimasi regeresi kuantil dengan fungsi spline truncated diperoleh koefisien determinasi ( ) sebesar 72% pada kuantil 0,95 dengan menggunakan tiga titik knot. Lebih lanjut diperoleh hasil bahwa faktor utama penyebab penyebaran DBD di Kota Surabaya adalah faktor persentase rumah/bangunan bebas jentik nyamuk Aedes Aegypti , faktor rasio tenaga medis (dokter umum), faktor rasio sarana kesehatan Puskesmas dan faktor persentase rumah tangga yang memiliki tempat sampah sehat.
Seleção de Representantes para Cobertura de Componentes Conexas em Grafos

Introduzimos um novo problema de cobertura chamado Cobertura de Componentes por Vértices (CCV). Neste problema são dados um grafo G e uma partição A e B de V(G), e nosso objetivo ´e encontrar o menor subconjunto B de B tal que, para cada componente conexa C de G[A], há um vértice v ∈ C com algum vizinho em B? Estudamos a complexidade deste problema e damos resultados positivos e negativos. Mostramos que o problema CCV e NP- Completo para várias classes de grafos. Mostramos tamb´em que o problema é difícil de aproximar e de parametrizar. Por outro lado, apresentamos algoritmos polinomiais para outras classes de grafos. Por fim, mostramos parametrizações FPT e algoritmos aproximativos para determinadas classes de grafos.