Miracle-dz/UniFAR-FTUs huggingface dataset:
Cell-Free Massive MIMO With Mixed-Resolution ADCs and I/Q Imbalance Over Rician Spatially Correlated Channels

The practical deployment of cell-free massive multiple-input multiple-output (CF mMIMO), a promising technology empowering the sixth-generation with multitudinous access points (APs). This paper considers a CF mMIMO system over Rician spatially correlated fading channels with the single-antenna user equipments (UEs) and multi-antenna APs, where the phase-shift induced by the UEs' movement exists at the line-of-sight path. Though the low-resolution analog-to-digital converters (ADCs) can effectively address the expensive hardware cost and power-hungry problems, complicated data processing algorithms are of vital importance to be well designed to compensate for the performance gap compared with the real scenarios since the hardware impairments. However, the novel mixed-ADC architecture could solve the above challenges with better performance. So, we investigate the effect of mixed-resolution ADCs deploying at APs and the in-phase and quadrature-phase imbalance (IQI) on the CF mMIMO systems. Furthermore, the achievable uplink spectral efficiency (SE) is analyzed considering IQI and quantization loss based on a two-layer decoding scheme. Moreover, the novel closed-form SE expression with the maximum ratio (MR) combining is derived. And we find the relationship between the SE performance and different combining schemes, quantization bits, and IQI parameters. Finally, the numerical results reveal the mixed-resolution ADCs show a great advantage in boosting the SE performance, and increasing the number of APs is an effective means to promote the system performance.
Calculation of the ionic conductivity of h-BN and its effect on the dielectric loss

By using an ab initio local-density approach and considering the defect locations of substitutional sites and midplane sites in hexagonal boron nitride (h-BN) graphite structure, the defect formation energies of N, O, C ions in h-BN ceramic and then the ionic conductivities are calculated. On comparing with the experimental results, it is indicated that the main contribution of ionic conductivity is due to the oxygen ionic defects. At high temperatures, no loss peak is observed in the measured dielectric loss spectrum, because the large conduction loss may obscure the loss peaks, which reflect the intrinsic dielectric relaxation. By eliminating the conduction loss in the measured dielectric loss, the loss peaks can be recovered. This research is helpful for the application of h-BN at high temperatures by understanding the ionic conduction and high temperature relaxation processes.
Gain-of-Function p53N236S Mutation Drives the Bypassing of HRasV12-Induced Cellular Senescence via PGC–1α

One of the key steps in tumorigenic transformation is immortalization in which cells bypass cancer-initiating barriers such as senescence. Senescence can be triggered by either telomere erosion or oncogenic stress (oncogene-induced senescence, OIS) and undergo p53- or Rb-dependent cell cycle arrest. The tumor suppressor p53 is mutated in 50% of human cancers. In this study, we generated p53N236S (p53S) mutant knock-in mice and observed that p53S heterozygous mouse embryonic fibroblasts (p53S/+) escaped HRasV12-induced senescence after subculture in vitro and formed tumors after subcutaneous injection into severe combined immune deficiency (SCID) mice. We found that p53S increased the level and nuclear translocation of PGC–1α in late-stage p53S/++Ras cells (LS cells, which bypassed the OIS). The increase in PGC–1α promoted the biosynthesis and function of mitochondria in LS cells by inhibiting senescence-associated reactive oxygen species (ROS) and ROS-induced autophagy. In addition, p53S regulated the interaction between PGC–1α and PPARγ and promoted lipid synthesis, which may indicate an auxiliary pathway for facilitating cell escape from aging. Our results illuminate the mechanisms underlying p53S mutant-regulated senescence bypass and demonstrate the role played by PGC–1α in this process.
A bold strategy is not always optimal in the presence of inflation

A gambler, with an initial fortune less than 1, wants to buy a house which sells today for 1. Due to inflation, the price of the house tomorrow will be 1 + α, where α is a nonnegative constant, and will continue to go up at this rate, becoming (1 + α) n on the nth day. Once each day, he can stake any amount of fortune in his possession, but no more than he possesses, on a primitive casino. It is well known that, in a subfair primitive casino without the presence of inflation, the gambler should play boldly. The presence of inflation would motivate the gambler to recognize the time value of his fortune and to try to reach his goal as quickly as possible; intuitively, we would conjecture that the gambler should again play boldly. However, in this note we will show that, unexpectedly, bold play is not necessarily optimal.
The role of working women in social mobility in Spain

This article addresses what is still an under-examined issue in social mobility literature: the role played by women in the transmission of social advantages and life chances. We include models that incorporate both progenitors for those who were born in Spain between 1926 and 1976. We selected this country due to the far-reaching transformations experienced there for the female population in recent decades in terms of fertility rates, labor market, and educational mobility. Our results show that joint models that consider the influence of both the mother’s and father’s social class more accurately predict children’s social mobility than models that only considers the father’s social class. Contrary to previous studies, we do not find a clear movement toward a more open society, but rather a gendered fluctuation. While the social fluidity of sons has remained constant over time, daughters have experienced an intense process of social fluidity.
NUMERICAL INVESTIGATION OF AXISYMMETRIC COMPRESSIBLE TURBULENT JETS

Calculations of axisymmetric compressible turbulent jets were performed, using a finite volume commercial CFD solver, implementing Roe's flux-difference-splitting upwind scheme. The turbulent models and numerical method were examined and validated by comparison of computational results to experimental measurements. All characteristic flow features were correctly resolved, and in general also good quantitative agreement was achieved. It is shown that for fully-expanded jets accurate calculation of the shear layer formed can be obtained using coarse numerical discretization (~1,000 cells with a first order numerical scheme), and an isotropic twoequation ke turbulence model. On the other hand, for nonexpanded jets, when the shear layer interacts with shock waves and expansion fans, achieving accurate results requires the use of fine numerical discretization (~100,000 cells with a second order numerical scheme), and the non-isotropic four-equation RSM turbulence model. For highly underexpanded jets with Mach disks, the solution could not be converged with the RSM model. However, satisfactory results were obtained with the RNG-ke model.
The small sample performance of estimators of the standard errors of structural equation models

In this paper, we compare five asymptotically, under a correctly specified likelihood, equivalent estimators of the standard errors for parameters in structural equation models. The estimators are evaluated under different conditions regarding (i) sample size, varying between N=50 and 3200, (ii) distributional assumption of the latent variables and the disturbance terms, namely normal, and heavy tailed (t), and (iii) the complexity of the model. For the assessment of the five estimators we use overall performance, relative bias, MSE and coverage of confidence intervals. The analysis reveals substantial differences in the performance of the five asymptotically equal estimators. Most diversity was found for t distributed, i.e. heavy tailed, data.
Joint Resource Allocation Algorithm for Energy Harvest-Based D2D Communication Underlaying Cellular Networks Considering Fairness

In this letter, we aim to maximize the minimum data volume for the energy harvest (EH)-based D2D communication underlaying cellular network. The formulated problem is a mixed integer nonlinear programming (MINLP), which we split into two sub-problems to solve separately. We first employ the Successive Convex Approximation (SCA) method to solve the time and power allocation, while putting the spectrum multiplexed pairs as fixed. Then, we develop a fair allocation mechanism to allocate spectrum resources. Numerical results show that our developed algorithm outperforms other benchmark schemes in terms of the minimum and overall data volumes.
Convolution properties of a class of bounded analytic functions

Let A be the class of functions f(z) which are analytic in the unit disk U with f(0) = f′(0) - 1 = 0. A subclass S(λ, M) (λ > 0, M > 0) of A is introduced. The object of the present paper is to prove some interesting convolution properties of functions f(z) belonging to the class S(λ, M). Also a certain integral operator J for f(z) in the class A is considered.
The Visual Display of Quantitative Information

The change of very first chart on page 91 was quite impressive and made me interest of the concept of maximizing data ink ratio. Today, unlike the period of 1980s, we have great quad processing computer that can do all the graphical designs using its own GPU which results in realistic visual on 3Ds. Even though I agree this theory of maximizing data ink ratio, I think some decoration is quite necessary to emphasize the data you are retrieving.
Validity of rough surface backscattering models

Abstract A study of the regions of validity for rough surface scattering models is conducted for surfaces with Gaussian and power law power spectra. Models included in the study are physical optics (PO), geometrical optics, small perturbation method and small slope approximation. The range of validity of the PO model is commonly described by a bound on the radius curvature of the surface relative to the electromagnetic wavelength. We show empirically that for backscattering the region of accuracy is more accurately described by a bound on surface slope. For surfaces with a Gaussian power spectrum, the PO model is accurate to within 2 dB for RMS surface slope values less than 0.59 cos3θ. For surfaces with a power law power spectral density, the PO model is accurate for significant slope values (RMS surface height/wavelength of the dominant spectral peak) less than 0.037 cos3θ. These conditions are valid up to approximately 30°. The regions of validity of other models in the study are also shown to be well approximated by bounds on surface slope.
Microfiber-based WS 2 -film saturable absorber for ultra-fast photonics

In this paper, we demonstrated a passively mode-locked erbium-doped fiber (EDF) laser by incorporating a tungsten disulfide (WS2) film SA fabricated by pulsed laser deposition (PLD) method. The WS2 film was thickness-dependent, which had two different states: the bulk WS2 [faced to plasma plume] and tiny WS2 flakes [in the shadow of plasma plume]. This SA device demonstrated low insertion loss (IL) and high power tolerance ability. Interestingly, the SA device possessed different nonlinear absorption regimes related with the film states. By employing this new type of SA, we obtained stable fundamental mode-locking (FML) at pump power of 54 mW, and the generated soliton pulse had pulse duration of 675 fs and signal-to-noise ratio (SNR) of 65 dB. At the maximum pump power of 395 mW, we also obtained up to 1 GHz repetition rate of harmonic mode-locking (HML) with pulse duration of 452 fs and SNR of 48 dB. The experimental results show that WS2-PLD film can serve as a promising SA for ultrafast laser systems.
Fedab: A Low-Latency Energy-Efficient Proactive Neighbor Discovery Protocol in MLDC-WSN

Mobile Low-Duty-Cycle Wireless Sensor Network (MLDC-WSN) is a new type of wireless multi-hop network composed of sensor nodes that have mobility and sleep for a long time in a wireless self-organizing manner. Neighbor discovery protocols are used for sensor nodes to discover neighbor nodes within their communication range and can provide neighbor information to other protocols. MLDC-WSN uses low duty cycle technology to reduce energy consumption, and captures dynamic environmental information through the movement of nodes. However, the random mobility and long dormancy of nodes lead to frequent changes in the network topology, and nodes need to consume a lot of energy and time to discover all their neighbors. The sensor nodes are often powered by energy-limited batteries, and battery replacement is difficult. How to implement efficient neighbor discovery with low-latency and low-energy is a challenge of current research. Different from the previous slot model that couples the listening and transmitting of beacons in one slot, this paper proposes a new discovery schedule based on the slot model that separates the listening and transmitting of beacons. The discovery schedule can guarantee unidirectional discovery. And the node proactively transmits the beacon to accelerate bidirectional discovery after unilaterally discovering its neighbor nodes. On this basis, a proactive asynchronous neighbor discovery protocol called Fedab is proposed in this paper. Ignoring beacon collisions and other realistic interference factors, Fedab can enable neighbor discovery within the theoretical worst-case discovery latency. Moreover, Fedab is extended to the scenario where nodes perform different duty cycles, i.e., asymmetric scenarios. After experimental simulations and numerical analysis, the Fedab protocol has better performance compared to other existing neighbor discovery protocols.
Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor Networks

The orthogonal frequency division multiple access (OFDMA) technique has been widely employed in sensor networks as the data modulation scheme. This study presents a one-dimensional (1D) space–time signal processing scheme for the joint estimation of direction of arrival (DOA) and carrier frequency offsets (CFOs) in OFDMA uplink systems. The proposed approach, initiated by a one-dimensional ESPRIT algorithm, involves estimating the DOAs of the received signal to identify subscriber positions. Spatial beamformers are then used to suppress multiple access interference and separate each subscriber’s signal from the received signal. The outputs of the spatial beamformer are decimated to estimate the CFO of each subscriber. Compared with conventional two-dimensional parameter estimation algorithms, the proposed one-dimensional algorithm has a higher estimation accuracy and significantly lower computational complexity.
The UPM/LPM Framework on Portfolio Performance Measurement and Optimization

In real life the investment return is not normally distributed and the investors’ attitudes to upside potential and downside risk with respect to a benchmark are different. The upper partial moment (UPM) and the lower partial moment (LPM) in place of mean and variance as reward and risk measure have been suggested to solve this asymmetric problem (Farinelli and Tibiletti (2002)/Moreno, Cumova and Nawrocki (2004)). In this master thesis, we discuss the empirical properties of the UPM/LPM framework as performance measure and also applications to portfolio optimization. In order to evaluate the benefit of the performance measurement, we contrast the ranking results from the UPM/LPM performance measurement and conventional sets. The model sensitivity to parameter change and the estimation risk are also tested. Regarding portfolio optimization problems, when employing the skewness student-t distributed sample, we show that the UPM/LPM portfolio optimization model provides different weights from conventional models, and it exhibits a more efficient frontier. We find that higher moments can be of great significance for performance ranking and portfolio selection based on UPM/LPM framework. And by choosing appropriate benchmark and upper or lower order, the UPM/LPM model is able to reflect investors’ various asymmetric preferences. Acknowledgements I would like thank my supervisor, Professor Johan Tysk, and other teachers in the Financial Mathematics Programme, Uppsala University, for introducing the subject of Financial Mathematics and providing a solid foundation for my future research work; I am also thankful to Professor Nawrocki, for explaining his previous work on UPM/LPM model; my gratitude also belongs to my parents and friends, Zhinan Lin, Bo Pan, Chao Cheng, Yu Meng, for supporting and encouraging me to pursue my career in Finance. Content:
Generalized Estimating Equations in Controlled Clinical Trials: Hypotheses Testing

Generalized estimating equations (GEE) for the analysis of clustered data have gained increasing popularity. Recently, the first monograph on this method has been published. GEE have been repeatedly applied in controlled clinical trials. They have, however, been generally used as secondary or supplementary analysis. Instead, the primary analysis was mostly based on a classical method that usually ignored the clustered – mostly longitudinal – nature of the data. In this paper, we discuss the applicability of GEE as primary analysis in controlled clinical trials. From theoretical results in the literature, we derive recommendations how GEE should be used in therapeutic studies for testing statistical hypotheses. We hope that our paper is the starting point for a thorough discussion on the most appropriate analysis of controlled clinical trials with clustered dependent variables. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Therapeutic Potential of Zeolites/Vitamin B12 Nanocomposite on Complete Freund’s Adjuvant-Induced Arthritis as a Bone Disorder: In Vivo Study and Bio-Molecular Investigations

Rheumatoid arthritis (RA) is a long-term autoimmune disease. As nanotechnology has advanced, a growing number of nanodrugs have been used in the treatment of RA due to their unique physical and chemical properties. The purpose of this study was to assess the therapeutic potential of a novel zeolite/vitamin B12 nanocomposite (Nano ZT/Vit B12) formulation in complete Freund’s adjuvant (CFA)-induced arthritis. The newly synthesized Nano ZT/Vit B12 was fully characterized using various techniques such as XRD, FT-IR, BET analysis, HERTEM, SEM, practical size, zeta potential, XRF, and EDX. The anti-arthritic, anti-inflammatory, and antioxidant activities as well as the immunomodulation effect of Nano ZT/Vit B12 on the CFA rat model of arthritis were examined. Histopathologic ankle joint injuries caused by CFA intrapedal injection included synovium hyperplasia, inflammatory cell infiltration, and extensive cartilage deterioration. The arthritic rats’ Nano ZT/Vit B12 supplementation significantly improved these effects. Furthermore, in arthritic rats, Nano ZT/Vit B12 significantly reduced serum levels of RF and CRP, as well as the levels of IL-1β, TNF-α, IL-17, and ADAMTS-5, while increasing IL-4 and TIMP-3 levels. Nano-ZT/Vit B12 significantly declined the LPO level and increased antioxidant activities, such as GSH content and GST activity, in the arthritic rats. In arthritic rats, Nano ZT/Vit B12 also reduced TGF-β mRNA gene expression and MMP-13 protein levels. Collectively, Nano ZT/Vit B12 seems to have anti-arthritic, anti-inflammatory, and antioxidant properties, making it a promising option for RA in the future.
Recent advances on optical metasurfaces

Metasurfaces, the two-dimensional equivalent of metamaterials, are periodic arrays of sub-wavelength engineered inclusions that can locally manipulate and enhance wave–matter interactions, thus providing unprecedented possibilities to realize exotic wave phenomena over a sub-wavelength thickness. In this review, we summarize recent advances in the theoretical modeling, realization and application of optical metasurfaces, outlining their impact on integrated and free-space flatland nanophotonic components. We describe recent developments on the homogenization of periodic metasurfaces with arbitrary inclusion shape and geometry and, on the basis of this description, we revisit recent developments in this area of research, especially focusing on their optical applications for radiation control, lensing, beam shaping and optical communications.
Cladosporium Species Associated with Fruit Trees in Guizhou Province, China

During an investigation of fungal diversity on fruit trees in Guizhou Province, 23 Cladosporium strains were isolated from various locations in Guizhou Province. Culture characteristics, morphology and molecular phylogenetic analysis of three genetic markers, namely, the internal transcribed spacer regions (ITS) of the rDNA, partial fragments of actin (act), and the translation elongation factor 1-α (tef1-ɑ) loci were used to characterize these isolates. Seven new Cladosporium species and new host records for five other species were introduced, with detailed descriptions and illustrations. This study showed that there is a rich diversity of Cladosporium spp. in fruit trees in Guizhou Province.
Heat transfer from a sphere in a stream of small Reynolds number

The present paper deals with the temperature field past an isothermal sphere. Acrivos & Taylor (1962) have obtained results for the case R [les ] 1 with no restriction on the Prandtl number. The results of the present paper are for the case R < 1 in which the Prandtl number is of order unity. An expansion for the Nusselt number is given up to and including the term of order R2.
The Effectiveness of Suffruticosol B in Treating Lung Cancer by the Laser Trapping Technique

We used laser trapping to study the effects of suffruticosol B on lung cancer cells. Physical and mechanical changes were found to be statistically significant, with a 63.97% increase over untreated cells and a 79.57% increase over untreated cells after treatment for 3 or 6 h, respectively. The treatment affected the internal structure of the cells, with changes in their elastic properties. The cellular responses showed that treatment with suffruticosol B resulted in the decreased proliferation and invasion of cancer cells. These results suggest that the treatment may be useful in preventing or treating lung cancer.
Shear-Horizontal-Type Surface Acoustic Waves on Quartz with Ta2O5 Thin Film

The propagation characteristics of two modes of surface acoustic waves (SAWs) on ST quartz with a tantalum pentoxide (Ta2O5) thin film are investigated theoretically and experimentally. One is the pure shear-horizontal (SH)-type SAW and the other is the Love-wave-type SAW converted from the leaky SAW (LSAW). For these SAWs, stronger energy trapping effects on the surface can be expected by loading the substrate with the Ta2O5 thin film, because this film has a relatively high density. In fact, the film thickness of the Ta2O5 film required to obtain the minimum insertion loss and the maximum K2 for the SH-type SAW on ST-90°X quartz is around 0.01 λ, which is approximately one-fourth of that reported for silicon dioxide film. Furthermore, the attenuation of the LSAW on ST-33°X quartz was reduced by loading with the Ta2O5 film because the LSAW becomes the Love-wave-type SAW without attenuation.
On some algorithms for design of optimal constrained regulators

Two algorithms for computation of optimal feedback gains for output constrained regulators are considered. One algorithm consists of an iterative solution of Lyapunov equations. It is shown that it does not always converge even for good initial values. The other algorithm includes a solution of a nonlinear equation in each iteration. This algorithm is superior to the first one for considered examples.