Miracle-dz/UniFAR-FTUs huggingface dataset:
A Frequency-Tunable Dual-Path Frequency-Translated Noise-Cancelling Self-Interference Canceller RX with>16dBm SI Power-Handling in 65nm CMOS

A dual-path self-interference (SI) cancellation architecture is presented for high-power SI cancellation (SIC) for simultaneous transmit and receive. The proposed approach breaks SIC trade-offs between operating frequency, SI power and canceller noise/distortion by using a frequency-translated (FT) SI canceller and an auxiliary FT noise-cancelling path that cancels the noise/distortion from the primary canceller. The 65 nm CMOS implementation achieves ~45 dB SIC for 12 dBm RX SI peak power with only 4 dB NF degradation, blocker-1dB of >16dBm with respect to SI (8x higher than prior work) while operating from 0.5 GHz to 1.3 GHz.
Influence of dissimilar radial clearances on the performance of hydrodynamic rotor-bearing systems considering misalignment effects

Influence of dissimilar radial clearances of the two end bearings on the performance of hydrodynamic rotor-bearing systems is investigated in the present paper. The rotor misalignment effects are considered. A parameter ξ is introduced to measure the dissimilar level and three typical applied points (Case Left, Case Center, and Case Right) of external load are also investigated during the analysis. Finite difference method is adopted to solve the Reynolds-type equation and verification of the solution technique is conducted by comparison with previous work. The rotor equilibrium postures are solved at different dissimilar parameters (ξ) for the three external loading situations. Results show that dissimilar radial clearances have significant effects on rotor postures, minimum film thickness, stiffness and damping coefficients. Under unbalanced load situations (Case Right, Case Left), small values of ξ (<1.0) will alleviate and large one ξ (>1.0) will aggravate the misaligned effects. Meanwhile, the minimum film thickness increases with ξ (<1.0) and decreases with ξ (>1.0). For stiffness and damping coefficients, the variations with ξ have no obvious rules. During the design and analysis of hydrodynamic rotor-bearing systems, the dissimilarity should be considered intensively for reaching appropriate results.
Molecular Dynamics Modeling for the Determination of Elastic Moduli of Polymer–Single-Walled Carbon Nanotube Composites

The use of carbon nanotubes to improve the mechanical properties of polymers is one of the promising directions in materials science. The addition of single-walled carbon nanotubes (SWCNTs) to a polymer results in significant improvements in its mechanical, electrical, optical, and structural properties. However, the addition of SWCNTs does not always improve the polymer properties. Also, when a certain content of SWCNTs is exceeded, the mechanical properties of the nanocomposite become worse. This article reports the results of computer simulations for predicting the mechanical properties of polymer/single-walled carbon nanotube nanocomposites. The efficiency of reinforcing polymer composites is considered depending on the concentration of carbon nanotubes in the polymer matrix, their size, and structure. The elastic moduli of the nanocomposites are predicted using computer simulations for unit cell tension (0.1%). General trends in the mechanical properties of composites with polypropylene (PP), poly(ethyl methacrylate) (PEMA), polystyrene (PS) matrices, and SWCNTs are shown.
Dynamics of spike in a Keller-Segel's minimal chemotaxis model

The dynamics are studied for the Keller-Segel's minimal chemotaxis model \begin{document}$τ u_t=(u_x-kuv_x)_x, \ \ \ \ v_t=v_{xx}-v+u$ \end{document} on a bounded interval with homogeneous Neumann boundary conditions, where \begin{document}$\tau\geqslant 0$\end{document} and \begin{document}$k\gg 1$\end{document} are parameters and the total mass of \begin{document}$u$\end{document} is scaled to be one. In general, the dynamics can be divided into three stages: the first stage is very short in which \begin{document}$u$\end{document} quickly becomes a delta like function with mass concentrated near the point of global maximum of \begin{document}$v$\end{document} ; in the second stage, the point of the global maximum of \begin{document}$v$\end{document} drifts towards the boundary of the domain and reaches it at the end of the second stage; in the third stage, the profile of the solution evolves to a steady state profile. This paper considers a special case in which the relaxation parameter \begin{document}$\tau$\end{document} is set to be zero, so the first stage takes no time. A free boundary problem describing the second stage is presented. Rigorous asymptotic behavior is proven for the third stage evolution.
Factors Influencing Hemodialysis Patients Survival Using Frailty Models

Abstract Background and objection: Hemodialysis is the most common renal replacement therapy in patients with End Stage Renal Disease (ESRD). This study investigated the 5-year survival rate of hemodialysis patients admitted to Imam Khomeini and Fatima Zahra Hospitals in Sari. Materials & Methods: This study was performed on 335 patients on hemodialysis referring to Imam Khomeini and Fatima Zahra Hospitals from November 2008 to November 2013. To investigate the factors influencing the patients' survival rate, we used Cox model and Frailty model and compared these models efficiency, we also applied the Akaikie information criterion and the residuals review. All calculations have been performed with SPSS version 20 & STATA version 8 and the significance level was 0.05. Findings: The results of this study showed that applying the Kaplan– Meier method to determine one, three and five year’s survival rates for hemodialysis patients were 74.9%, 53.2% and 20.4%, respectively. The mean survival time was 37.241 months. In the final model, in multivariate analysis of the gamma frailty model, the variables as age, education, marital status, diabetes, Kidney stone & obstructions, the clinic, the mean serum albumin and urea have been identified as the most important predictors in hemodialysis patients' survival (p < 0.05). Conclusion: According to the results of the frailty model fitness, the hemodialysis patients having the same explanatory variables also have different risk of death. Giving the Akaikie information criterion and the residuals review, the Weibull model with gamma frailty is more efficient than the Cox model and it has good fitness to the data.
G-DCS: GCN-Based Deep Code Summary Generation Model

In software engineering, software personnel faced many large-scale software and complex systems, these need programmers to quickly and accurately read and understand the code, and efficiently complete the tasks of software change or maintenance tasks. Code-NN is the first model to use deep learning to accomplish the task of code summary generation, but it is not used the structural information in the code itself. In the past five years, researchers have designed different code summarization systems based on neural networks. They generally use the end-to-end neural machine translation framework, but many current research methods do not make full use of the structural information of the code. This paper raises a new model called G-DCS to automatically generate a summary of java code; the generated summary is designed to help programmers quickly comprehend the effect of java methods. G-DCS uses natural language processing technology, and training the model uses a code corpus. This model could generate code summaries directly from the code files in the coded corpus. Compared with the traditional method, it uses the information of structural on the code. Through Graph Convolutional Neural Network (GCN) extracts the structural information on the code to generate the code sequence, which makes the generated code summary more accurate. The corpus used for training was obtained from GitHub. Evaluation criteria using BLEU-n. Experimental results show that our approach outperforms models that do not utilize code structure information.
The Internal Structure of Natural Numbers, One Method for the Definition of Large Prime Numbers, and a Factorization Test

It holds that every product of natural numbers can also be written as a sum. The inverse does not hold when 1 is excluded from the product. For this reason, the investigation of natural numbers should be done through their sum and not through their product. Such an investigation is presented in the present article. We prove that primes play the same role for odd numbers as the powers of 2 for even numbers, and vice versa. The following theorem is proven: “Every natural number, except for 0 and 1, can be uniquely written as a linear combination of consecutive powers of 2 with the coefficients of the linear combination being -1 or +1. ” This theorem reveals a set of symmetries in the internal order of natural numbers which cannot be derived when studying natural numbers on the basis of the product. From such a symmetry a method for identifying large prime numbers is derived. We prove a factorization test for the odd numbers.
Sea Surface Scanner (S3): A Catamaran for High-Resolution Measurements of Biogeochemical Properties of the Sea Surface Microlayer

AbstractThis paper describes a state-of-the-art research catamaran to investigate processes such as air–sea gas exchange, heat exchange, surface blooms, and photochemistry at the sea surface microlayer (SML) with high-resolution measurements of 0.1-Hz frequency. As the boundary layer between the ocean and the atmosphere, the SML covers 70% of Earth. The remote-controlled Sea Surface Scanner is based on a glass disk sampler to automate the sampling of the thin SML, overcoming the disadvantages of techniques such as low volume sampling and ex situ measurement of the SML. A suite of in situ sensors for seven biogeochemical parameters (temperature, pH, dissolved oxygen, salinity, chromophoric dissolved organic matter, chlorophyll-a, and photosynthetic efficiency) was implemented to characterize the SML in reference to the mixed bulk water. The Sea Surface Scanner has the capability to collect 24 discrete water samples with a volume of 1 L each for further laboratory analysis. Meteorological parameters such as.
Th Role of Faith Healing in an HIV High-Risk Area: A Case Study of Balokole Churches in Masaka District, Uganda

Diverse modes of health care — western bio-medicine, African traditional therapies, herbalism, Eastern mysticism and alternative therapies such as yoga and ayurvedic medicine, faith healing based on psycho-spiritual models, and many others — co-exist in most African countries (Last 1990, Turner 1968). Medical anthropologists (Kleinman 1980, Helman 1994) have suggested that three basic sectors of health-care can be identified: the popular sector, the folk sector and the professional sector. These sectors overlap and interact, but each sector has its own ways of explaining and treating illness, defining who is the healer and who is the patient and specifying how the healer and patient interact in their therapeutic encounter. Up to now research on health care in Africa has focused mainly on the folk and professional sectors. Yet the popular sector is very dynamic and is constantly evolving in response to contemporary social-cultural phenomena. This paper examines the role of contemporary faith healing in an HIV high-risk area. It is based on field research in Masaka District of southwestern Uganda on modern faith healing churches whose ideology emphasises supernatural, ‘miracle’ healing. Several studies (Rwomushana 2000, Asiimwe-Okorir et.al 1997, Mulder et al. 1995) have attributed Uganda’s success in fighting HIV/Aids to a rigorous multi-sectoral strategy combining holistic health care services with health education, information and communication directed at the rural and urban masses. Under the much praised leadership of the president of Uganda, government departments, public enterprises, non-governmental organisations, community-based organisatoins, multi-national companies and faith-based institutions have all joined hands to combat the epidemic with from as high as 38 percent to less than 7 percent. This papercuses on the role of one sector in this multi-sectoral partnership, faith healing and miracle churches.
Stochastic representations of model uncertainties at ECMWF: state of the art and future vision

Members in ensemble forecasts differ due to the representations of initial uncertainties and model uncertainties. The inclusion of stochastic schemes to represent model uncertainties has improved the probabilistic skill of the ECMWF ensemble by increasing reliability and reducing the error of the ensemble mean. Recent progress, challenges and future directions regarding stochastic representations of model uncertainties at ECMWF are described in this article. The coming years are likely to see a further increase in the use of ensemble methods in forecasts and assimilation. This will put increasing demands on the methods used to perturb the forecast model. An area that is receiving greater attention than 5–10 years ago is the physical consistency of the perturbations. Other areas where future efforts will be directed are the expansion of uncertainty representations to the dynamical core and other components of the Earth system, as well as the overall computational efficiency of representing model uncertainty.
Duality, symmetry and symmetry lost in solid mechanics. Selected works of H.D. Bui

This book collects many of H.D. Bui's works mostly in French, and mostly unknown to the English scientific community, in the fields of Duality, Symmetry in Conservation Laws, Complementarity and Symmetry Lost. The concepts are seldom fully recognized in the literature and, in this sense, this book is unique. To quote Bui: "Duality is synonym of parallelism, or complementary things, sometimes opposite things, tied together in an integral whole". The concept of Duality is closely linked to the concept of "virtual power" in the Mechanics of continuous media; it originates from the concept of spaces and dual spaces of functions in mathematics culminating in the Theory of Distributions by Laurent Schwarz. H.D. Bui exploited the richness of duality to solve elegantly some important and deep inverse engineering problems presented in this book. It contains a total of 31 papers, including one on the application of complementarity to explain the construction of Kheops's pyramid. For his fundamental contributions to Mechanics H.D. Bui was elected to the French Academy of Sciences in 1995 and the European Academy of Sciences in 2001. The presentation of the printed edition of this book coincides with an Internation Colloquium in his honor in Paris on July 4-5, 2011, with the participation of a large number of distinguished scientists representing the US Academy of Sciences, the US Academy of Engineering, the Royal Society of London, ax well as the Russian Academy of Sciences and the French Academy of Sciences.
Robust PCA and Robust Subspace Tracking

Principal Components Analysis (PCA) is one of the most widely used dimension reduction techniques. Given a matrix of clean data, PCA is easily accomplished via singular value decomposition (SVD) on the data matrix. While PCA for relatively clean data is an easy and solved problem, it becomes much harder if the data is corrupted by even a few outliers. The reason is that SVD is sensitive to outliers. In today's big data age, since data is often acquired using a large number of inexpensive sensors, outliers are becoming even more common. This harder problem of PCA for outlier corrupted data is called robust PCA. Often, for long data sequences, e.g., long surveillance videos, if one tries to use a single lower dimensional subspace to represent the data, the required subspace dimension may end up being quite large. For such data, a better model is to assume that it lies in a low-dimensional subspace that can change over time, albeit gradually. The problem of tracking a (slowly) changing subspace over time is often referred to as "subspace tracking" or "dynamic PCA". The problem of tracking it in the presence of outliers can thus be called either "robust subspace tracking" or "dynamic robust PCA". This article provides a comprehensive tutorial-style overview of the robust and dynamic robust PCA problems and solution approaches, with an emphasis on simple and provably correct approaches.
Non-Invasive Techniques Reveal Heifer Response to Fescue Endophyte Type in Grazing Studies

Simple Summary This study compared the behavioral and physiological responses of heifers that grazed tall fescue infected with either a wild-type (WE) or a novel (non-toxic) endophyte (NE) using relatively non-invasive techniques such as hair cortisol, infrared cameras for extremities (ear, tail, and foot) temperatures, small loggers for intravaginal temperature, and remote imagery for monitoring animal behavior. Heifers on WE had cooler extremities temperatures and hotter intravaginal temperatures compared to those on NE. Hair cortisol levels were higher in heifers on WE compared to those on NE. Heifers on WE spent more time standing up and less time lying down during the daytime compared to those on NE. Overall, the findings indicate that replacing WE tall fescue with NE tall fescue can reduce heat load and corresponding stress in heifers, as indicated by changes in behavior, temperature, and cortisol levels. This study highlights the potential of non-invasive techniques such as thermographic imaging and hair cortisol analysis for assessing animal responses to stress in extensive grazing systems. Abstract Cattle grazing tall fescue (Schedonorus arundinaceous) infected with wild-type endophytes (WE) leads to a syndrome commonly known as fescue toxicosis. Replacing WE tall fescue with a novel endophyte-infected (NE) tall fescue can mitigate this problem but adoption of this technology has been limited. This study measured and determined the physiological and behavioral responses of heifers that grazed either WE or NE tall fescue, utilizing relatively non-invasive techniques including hair cortisol, thermography (for extremity temperatures), small loggers for intravaginal temperature, and remote observation of in-field behavior. Heifers that grazed WE had greater (p < 0.0001) hair cortisol levels, lower extremity temperatures (p ≤ 0.0075), and 0.3–0.9 °C greater (p ≤ 0.02) intravaginal temperatures (particularly during the daytime) than heifers that grazed NE. From 1200 h–1700 h each day, heifers on WE pastures spent 1.5 more (p = 0.0003) hours standing up and 0.9 fewer (p = 0.0402) hours lying down than heifers on NE pastures. Differences (p = 0.0160) in ADG were small (0.1 kg d−1) and were only observed in the first year of these 8-week studies. However, even in the mild environment of the study site, grazing NE tall fescue provided clear welfare benefits as evidenced by heifer behavioral changes, temperature differentials, and hair cortisol levels. This study underscores the potential utility of non-invasive techniques, such as thermographic imaging and hair cortisol analysis, for evaluating animal responses to stress in extensive grazing systems.
Reweighted minimization algorithm for signal restoration

In this paper, a reweighted l1 minimization algorithm for compressed sensing is proposed. The algorithm is based on generalized inverse iteration and linearized Bregman iteration, which is used for the weighted l1 minimization problem min u∈Rn {||u||ω : Au = f }. Numerical experiments confirm that the reweighted algorithm for signal restoration is effective and competitive to the recent state-of-the-art algorithms.
Editorial: Bioinformatics analysis of omics data for biomarker identification in clinical research, Volume II

and immune-related pathways in cancers, suggesting that it can function as a potential target for immunotherapy in pan-cancer. With the help of network pharmacology and molecular docking technology, Chen et al. studied the therapeutic mechanism of 4-octyl itaconate (4-OI), a cell-permeable derivative of itaconate, and found that 4-OI treats sepsis by regulating hub genes. The enrichment analysis further revealed that 4-OI participated in in ﬂ ammatory imbalance, immunosuppression, and oxidative stress in developing sepsis. In another study, Cui et al. characterized the role of serine racemase (SRR) as a prognostic biomarker in endometrial cancer. By conducting differential expression analysis and GEO data mining, Yu et al. identi ﬁ ed the correlation between immune cell types and recurrent implantation failure (RIF). They also provided new immune-related hub genes that serve
Efficient coding

This paper reviews briefly a few of the simpler aspects of communication theory, especially those parts which relate, to the information rate of and channel capacity required for sampled, quantized messages. Two methods are then discussed, whereby such messages can be converted to a “reduced” form in which the successive samples are more nearly independent and for which the simple amplitude distribution is more peaked than in the original message. This reduced signal can then be encoded into binary digits with good efficiency using a Shannon-Fano code on a symbol-by-symbol (or pair-by-pair) basis. The usual inefficiency which results from ignoring the correlation between message segments is lessened because this correlation is less in the reduced message.
Elements of $\mu$-calculus and thermodynamics of $\mu$-Bose gas model

We review on and give some further details about the thermodynamical properties of the \mu-Bose gas model (arXiv:1309.1363) introduced by us recently. This model was elaborated in connection with \mu-deformed oscillators. Here, we present the necessary concepts and tools from the so-called \mu-calculus. For the high temperatures, we obtain the virial expansion of the equation of state, as well as five virial coefficients. In the regime of low temperatures, the critical temperature of condensation is inferred. We also obtain the specific heat, internal energy, and entropy for a \mu-Bose gas for both low and high temperatures. All thermodynamical functions depend on the deformation parameter \mu. The dependences of the entropy and the specific heat on the deformation parameter are visualized.
An Adversarial Framework for Deep 3D Target Template Generation

Waldow, Walter E. M.S., Department of Computer Science and Engineering, Wright State University, 2020. An Adversarial Framework for Deep 3D Target Template Generation. This paper presents a framework for the generation of 3D models. This is an important problem for many reasons. For example, 3D models are import for systems that are involved in target recognition. These systems use 3D models to train up accuracy on identifying real world object. Traditional means of gathering 3D models have limitations that the generation of 3D models can help overcome. The framework uses a novel generative adversarial network (GAN) that learns latent representations of two dimensional views of a model to bootstrap the network’s ability to learn to generate three dimensional objects. The novel architecture is evaluated using two different types of evaluation. The two dimensional views are evaluated using a combination of an Inception Score and Hausdorff Distance, compared against the two dimensional views of the real 3D models used in training. The three dimensional object are evaluated using the Hausdorff Distance compared against the real 3D models used in training. Experimental results demonstrate that the novel generative adversarial network that is being proposed generated realistic looking models faster, and with higher fidelity than a basic 3D generative adversarial network would produce with the same training structure. The thesis illustrates the promise of GAN bootstrapping with two dimensional perspective codes to create higher fidelity three dimensional models.