Miracle-dz/UniFAR-FTUs huggingface dataset:
Extracting Network Knowledge and Monitoring Network Status on Cloud Container Platforms

The cloud environment is becoming more and more sophisticated as more and more services are running there. Although maintaining the availability of the cloud environment is crucial for cloud service providers (CSPs), the complexity and dynamicity of the cloud network provide difficulties. In this paper, we proposed a mechanism for extracting network knowledge and monitoring network status in the cloud container platform. We deployed our mechanism on OpenShift, a popular cloud container platform, to show its capabilities.
Linear and Non-Linear Heart Rate Variability Indexes from Heart-Induced Mechanical Signals Recorded with a Skin-Interfaced IMU

Heart rate variability (HRV) indexes are becoming useful in various applications, from better diagnosis and prevention of diseases to predicting stress levels. Typically, HRV indexes are retrieved from the heart’s electrical activity collected with an electrocardiographic signal (ECG). Heart-induced mechanical signals recorded from the body’s surface can be utilized to record the mechanical activity of the heart and, in turn, extract HRV indexes from interbeat intervals (IBIs). Among others, accelerometers and gyroscopes can be used to register IBIs from precordial accelerations and chest wall angular velocities. However, unlike electrical signals, the morphology of mechanical ones is strongly affected by body posture. In this paper, we investigated the feasibility of estimating the most common linear and non-linear HRV indexes from accelerometer and gyroscope data collected with a wearable skin-interfaced Inertial Measurement Unit (IMU) positioned at the xiphoid level. Data were collected from 21 healthy volunteers assuming two common postures (i.e., seated and lying). Results show that using the gyroscope signal in the lying posture allows accurate results in estimating IBIs, thus allowing extracting of linear and non-linear HRV parameters that are not statistically significantly different from those extracted from reference ECG.
Blocking Sparse Matrices to Leverage Dense-Specific Multiplication

Research to accelerate matrix multiplication, pushed by the growing computational demands of deep learning, has sprouted many efficient architectural solutions, such as NVIDIA's Tensor Cores. These accelerators are designed to process efficiently a high volume of small dense matrix products in parallel. However, it is not obvious how to leverage these accelerators for sparse matrix multiplication. A natural way to adapt the accelerators to this problem is to divide the matrix into small blocks, and then multiply only the nonzero blocks. In this paper, we investigate ways to reorder the rows of a sparse matrix to reduce the number of nonzero blocks and cluster the nonzero elements into a few dense blocks. While this pre-processing can be computationally expensive, we show that the high speed-up provided by the accelerators can easily repay the cost, especially when several multiplications follow one reordering.
Fast constant modulus adaptive algorithm

An exact block formulation of the constant modulus algorithm (CMA) is presented, in which a reduction of arithmetic complexity is achieved. Two types of fast algorithms are explained, either in time-domain or in frequencydomain. The first one is of greater interest for small block lengths and the second one, using the FFT as an intermediate step, has greater advantage for large blocks. Due to the equivalence between the original CMA formulation and this one, the convergence properties of the CMA are maintained, which is not the case in the Treichler et al. implementation in frequency domain of this algorithm. Furthermore, this approach allows the use of very small block lengths (e.g. N = 2), the reduction of the arithmetic complexity increasing with the block size.
Monitoring the observation impact on the short‐range forecast

This paper describes the use of forecast sensitivity to observations as a diagnostic tool to monitor the observation impact on the 24‐hour forecast range. In particular, the forecast error is provided by the control experiments (using all observations available) of two sets of observing system experiments performed at ECMWF, a month in summer 2006 and a month in winter 2007, respectively. In such a way, the observation data impact obtained with the forecast sensitivity is compared with the observing system experiment's data impact; differences and similarities are highlighted. Globally, the assimilated observations decrease the forecast error; locally, some poor performances are detected that are related either to the data quality or to the suboptimality of the data assimilation system. It is also found that the synoptic situation can affect the measurements or can produce areas of large field variability that the assimilation system cannot model correctly. Copyright © 2009 Royal Meteorological Society
Arytenoid cartilage necrosis due to prolonged endotracheal intubation: A case report of conservative follow-up with variable endoscopic findings

Abstract Arytenoid cartilage necrosis (ACN) is a life-threatening laryngeal complication that develops after prolonged endotracheal intubation (PEI). We describe a case of ACN due to PEI that was treated conservatively with close endoscopic follow-up. A 46-year-old man required 4 days of postoperative endotracheal intubation after surgery for Stanford A acute aortic dissection. Five days post-extubation, he presented with hoarseness and wheezing. Endoscopy and computed tomography findings confirmed ACN. We used conservative treatment to avoid a tracheostomy because the patient had no dyspnoea. During healing, vocal cord mobility changed per the extent of cicatrisation and adhesion, and glottic closure due to inter arytenoid adhesion was possible. The bilateral vocal cords were eventually fixed in a paramedian position. The patient could phonate via ventricular band mobility without aspiration or dyspnoea. Given the possibility of variable laryngeal findings, careful endoscopic evaluations may be needed until wound healing completes to avoid sudden suffocation after PEI.
Oscillatory and Excitable Behaviors in a Population of Model Neurons

~ A population contaip.ing both excitatory and inhibitory neurons is studied with coupled differential equations proposed by Wilson and Cowan. The system exhibits stationary, oscillatory or excitable behavior as the coupling strength is changed. Bifurcation analyses and numerical calcula­ tions are carried out to investigate the transitions to the oscillatory and excitable states. In the latter a pulse solution is found numerically in a coupled one-dimensional system composed of the excitable populations.
Studies in Newtonian Flow. II. The Dependence of the Viscosity of Liquids on Free‐Space

In this paper it is shown that the viscosity of the liquid normal paraffins can be accurately defined as a simple function of relative free‐space except for values in the neighborhood of the freezing points of each compound. A novel method of extrapolating the specific volumes of this family of compounds to absolute zero is described which permits the calculation of reliable values of the relative free‐space from density data.An expression of the same form as the author's function, but in which temperature rather than free‐space is the primary variable (the so‐called Andrade equation), fails to reproduce the viscosity of n‐heptadecane over the same range of temperatures within the limits of the known accuracy of the measurements.
A numerical absorbing boundary condition for finite difference and finite element analysis of open periodic structures

We introduce a numerical absorbing boundary condition that effects a complete absorption of all of the significant Floquet modes impinging upon the boundary, including both the propagating and the dominant evanescent modes. Using this requirement as the specification, we go on to derive linear relationships that link the field values at the boundary grid points to those of their neighbors. This procedure differs from the classical approaches to deriving the local boundary conditions, since in this method only the field values at the prescribed grid points are used. In this respect, it is somewhat similar to the measured equation of invariance (MEI) boundary condition. However, and in contrast to the MEI method, the present method uses the Floquet modes which depend only upon the periodicity and the excitation, and not on the geometry of the periodic element. This has an important advantage of using simple and analytically-known functions, and eliminating the need to carry out the surface integrations needed in other approaches.
Imaging ferromagnetic tracers with an ac biosusceptometer

The aim of this work was to study the feasibility of obtaining images of the distribution of ferromagnetic tracers using an ac biosusceptometer (ACB). The images were generated by mapping the response of the ACB at short distances due to the presence of a ferrite powder dispersed in a planar gel matrix with different shapes. The ACB was scanned over the sample and the voltages generated by the variation in ferrite concentration were sampled. Methods to render and image the distribution of ferromagnetic particles were studied. The generalized Wiener parametric method gave the best results. The system has a potential to be used in functional images of the gastrointestinal tract where a moderate resolution is required. We conclude that this biomagnetic method can be successfully used to generate planar functional images of magnetic particles in the near field.
4-chromatic Projective Graphs

We construct a family of 4-chromatic graphs which embed on the projective plane, and characterize the edge-critical members. The family includes many well known graphs, and also a new sequence of graphs, which serve to improve Gallai’s bound on the length of the shortest odd circuit in a 4-chromatic graph.
Continuous Double-Sided Roll-to-Roll Imprinting of Polymer Film

Roll-to-roll imprinting of two-sided structures on thermoplastic polymer film have been studied. Two continuous roll-to-roll approaches to producing structures on both sides of a web have been developed. In the sequential method, two separate printing units are used to the pattern upper and bottom surfaces of the film. In simultaneous roll-to-roll imprinting, two patterned rolls are used in one imprinting unit to pattern both sides simultaneously. In both experiments, flexible Ni-masters with submicron patterns wrapped on supporting metal rolls are used as stamps. The cellulose acetate film 95 µm thick and 50 mm wide has been used as the imprint material in the experiments. Patterned films were studied with an optical microscope and an atomic force microscope (AFM). The results indicate that both methods can be used for double-sided imprinting. However, in sequential imprinting, the first printed pattern is slightly damaged during the second printing phase.
PTGIS May Be a Predictive Marker for Ovarian Cancer by Regulating Fatty Acid Metabolism

Background Ovarian cancer tends to metastasize to the omentum, which is an organ mainly composed of adipose tissue. Many studies have found that fatty acid metabolism is related to the occurrence and metastasis of cancers. Therefore, it is possible that fatty acid metabolism-related genes (FAMRG) affect the prognosis of ovarian cancer patients. Methods First, profiles of ovarian cancer and normal ovarian tissue transcriptomes were acquired from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. A LASSO regression predictive model was developed via the “glmnet” R package. The nomogram was created via the “regplot. ” Gene Set Variation Analysis (GSVA), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Ontology (GO) analyses were conducted to determine the FAMRGs' roles. The percentage of immunocyte infiltration was calculated via CIBERSORT. Using “pRRophetic,” the sensitivity of eight regularly used medications and immunotherapy was anticipated. Results 125 genes were determined as different expression genes (DEGs). Based on RXRA, ECI2, PTGIS, and ACACB, a prognostic model is created and the risk score is calculated. Analyses of univariate and multivariate regressions revealed that the risk score was a distinct prognostic factor (univariate: HR: 2.855, 95% CI: 1.756-4.739, P < 0.001; multivariate: HR: 2.943, 95% CI: 1.800-4.812, P < 0.001). The nomogram demonstrated that it properly predicted the 1-year survival rate. The expression of memory B molecular units, follicular helper T molecular units, regulatory T molecular units, and M1 macrophages differed remarkably between the groups at high and low risk (P < 0.05). Adipocytokine signaling pathways, cancer pathways, and degradation of valine, leucine, and isoleucine vary between high- and low-risk populations. The findings of the GO enrichment revealed that the extracellular matrix and cellular structure were the two most enriched pathways. PTGIS, which is an important gene in fatty acid metabolism, was identified as the hub gene. This result was verified in ovarian cancer and ovarian tissues. The connection between the gene and survival was statistically remarkable (P = 0.015). The pRRophetic algorithm revealed that the low-risk group was more adaptable to cisplatin, doxorubicin, 5-fluorouracil, and etoposide (P < 0.001). Conclusion PTGIS may be an indicator of prognosis and a possible therapeutic target for the therapy of ovarian cancer patients. The fatty acid metabolism of immune cells may be controlled, which has an indirect effect on cancer cell growth.
A time-temperature-ageing shift model for bitumen and asphalt mixtures based on free volume theory

ABSTRACT This paper aims to develop a general form of the time-temperature-ageing shift model for bituminous materials based on free volume theory and validate its application in the Finite Element (FE) modelling for predicting aged asphalt mixtures’ mechanical responses. The frequency sweep, dynamic modulus, and Fourier Transform Infrared Spectroscopy (FTIR) tests were used to validate the proposed time-temperature-ageing shift model. A generalised Maxwell model incorporating the proposed shift model of asphalt mixtures was used to predict the mechanical responses of aged asphalt mixtures using FE modelling, verified via laboratory cyclic load tests. Results indicate that the time-temperature-ageing shift function can model the complex shear modulus and dynamic modulus master curves of bituminous materials, addressing the modulus dependency of temperature and ageing. Temperature dominates the modulus change of bituminous materials in the ageing process. The coefficients of the time-temperature-ageing shift model have clear physical meanings and can potentially quantify the effects of asphalt mixtures’ air voids on their temperature and ageing susceptibilities. The time-temperature-ageing shift model can be incorporated into the constitutive relations of the FE model to effectively couple and efficiently predict the effects of temperature and ageing on the mechanical responses of aged asphalt mixtures.
Discussion of remote sensing image classification method based on evidence theory

Remote sensing image classification is an important and complex problem. Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory. Because there are many defects on solving uncertainty problem, new tendency is that mathematical theory of evidence is applied to remote sensing image classification. At first, this paper introduces differences between Dempster-Shafer's(D-S) evidence theory and Bayes' subjective probability theory in solving uncertainty problem, main definitions and algorithms of D-S evidence theory. Especially degree of belief, degree of plausibility and degree of support are the bridges that D-S evidence theory is used in other fields. It emphatically introduced Support function that D-S evidence theory is used on pattern recognition, and degree of support is applied to classification. We acquire degree of support surfaces according to large classes, such as urban land, farmland, forest land, and water, then use "hard classification" to gain initial classification result. If initial classification accuracy is unfitted to acquirement, do reclassification for degree of support surfaces of less than threshold until final classification result reaches satisfying accuracy. We conclude that main advantages of this method are that it can go on reclassification after classification and its classification accuracy is very high. This method has dependable theory, intensive application, easy operation and research potential.
Will Off-Balance-Sheet Business Innovation Affect Bank Risk-Taking under the Background of Financial Technology?

Given the rapid development of financial technology, the off-balance-sheet business innovations of banks may potentially impact bank risk-taking. This issue is of great importance to commercial banks and financial regulators. This paper analyzed the relationship between off-balance-sheet business innovation (OBI) and Bank Risk-Taking (BRT) in Chinese commercial banks, as well as the mediation role of the Bank Agency Cost (BAC), the impact of a bank’s Internal Control Quality (ICQ) on this relationship, and the moderating role of Bank Competition (BCMP) by analyzing panel data from a sample of 130 Chinese commercial banks from 2009 to 2019. The results of this empirical exercise showed that (1) OBI has a significant negative correlation with BRT, evidencing that off-balance-sheet business innovation can improve bank risk management processes and enhance the bank’s operating performance, thereby reducing their willingness to transfer risks, restraining the BRT level. Compared with state-owned and joint-stock banks, OBI has a more significant inhibitory effect on BRT in urban and rural commercial banks. (2) BAC showed a mediation role in the relationship between OBI and BRT levels. Bank OBI can inhibit BRT levels by BAC reduction, demonstrating an effective mediation channel. (3) The degree of BCMP displayed a positive moderation effect on the relationship between the explained and explanatory variables, which means that, at higher BCMP levels, the inhibitory effect of OBI on BRT levels becomes more significant. (4) Additionally, this exercise also found that a bank’s ICQ can enhance the impact of OBI on BRT. The research contributions of this paper constitute an important theoretical significance and reference value for researchers exploring mechanisms that can improve innovation in the commercial banking industry and give importance to financial supervision and financial system risk control.
Text Normalization on Thai Twitter Messages using IPA Similarity Algorithm

Twitter often contains many noisy short messages. The noisy text are caused by insertion, transformation, transliteration and onomatopoeia. Text normalization is used for solving these noisy text. In this paper, we present the algorithm that can normalize insertion and homophonic transformation words by converting to International Phonetic Alphabet(IPA) and find the most similarity IPA of out-of-vocabulary and IPA of in-vocabulary using Levenshtein Distance. We used Twitter corpus that contained 2,000 twitter messages for evaluating the proposed algorithm. The experiment result illustrated that the proposed algorithm returned an accuracy of 79.03% when compared to dictionary-based normalization of LextoPlus returned an accuracy 24.19%.
Framework for identifying recommended rules and DFM scoring model to improve manufacturability of sub-20nm layout design

This paper addresses the framework for building critical recommended rules and a methodology for devising scoring models using simulation or silicon data. Recommended rules need to be applied to critical layout configurations (edge or polygon based geometric relations), which can cause yield issues depending on layout context and process variability. Determining of critical recommended rules is the first step for this framework. Based on process specifications and design rule calculations, recommended rules are characterized by evaluating the manufacturability response to improvements in a layout-dependent parameter. This study is applied to critical 20nm recommended rules. In order to enable the scoring of layouts, this paper also discusses a CAD framework involved in supporting use-models for improving the DFM-compliance of a physical design.
Carbon nanotube gated lateral resonant tunneling field-effect transistors

We have produced a lateral resonant tunneling field-effect transistor using a Y-junction multiwalled carbon nanotube as the dual gate on a narrow channel etched from a modulation-doped GaAs∕AlGaAs heterostructure. When the Y-junction nanotube is negatively biased, electrons traveling from source to drain along the channel face a voltage-tunable electrostatic double-barrier potential. We measured the three-terminal IDS(VDS,VGS) characteristics of the device at 4.2 K and observed gate-induced structure in the transconductance and negative differential resistance in the drain current. We interpret the data in terms of resonant tunneling through one-dimensional subbands confined by a self-consistently calculated electrostatic potential.
A New Treatment Landscape for RCC: Association of the Human Microbiome with Improved Outcomes in RCC

Simple Summary Renal cell carcinoma (RCC) is a highly vascularized and immunogenic tumor, and its treatment has been revolutionized by the development of immune-checkpoint inhibitors. However, the clinical benefit of these agents is limited in patients with metastatic disease. The microbiome has emerged a novel therapeutic target in recent years and has shown promising values. Understanding the microbiome of the tumor microenvironment is essential for the treatment of RCC. Abstract Microbes play different roles in metabolism, local or systemic inflammation, and immunity, and the human microbiome in tumor microenvironment (TME) is important for modulating the response to immunotherapy in cancer patients. Renal cell carcinoma (RCC) is an immunogenic tumor, and immunotherapy is the backbone of its treatment. Correlations between the microbiome and responsiveness to immune checkpoint inhibitors have been reported. This review summarizes the recent therapeutic strategies for RCC and the effects of TME on the systemic therapy of RCC. The current understanding and advances in microbiome research and the relationship between the microbiome and the response to immunotherapy for RCC are also discussed. Improving our understanding of the role of the microbiome in RCC treatment will facilitate the development of microbiome targeting therapies to modify the tumor microbiome and improve treatment outcomes.
Discovery of Four Isolated Millisecond Pulsars

We report the discovery of four isolated millisecond pulsars found as part of the Parkes 436 MHz survey of the southern sky. Three of the pulsars, PSRs J1024-0719, J1744-1134, and J2124-3358, are close to the Sun (d < 360 pc) and have very low luminosities, ≲0.5 mJy kpc2. The other, PSR J0711-6830, is of intermediate luminosity. The four least luminous millisecond pulsars presently known are all isolated objects, even though more than 75% of the known disk millisecond pulsars are binary. A Kolmogorov-Smirnov analysis confirms that the luminosity distributions of the binary and isolated millisecond pulsars are different at the 99.5% confidence level. We can find no simple explanation for this fact. The low-luminosity millisecond pulsars reported here exacerbate the birthrate discrepancy with their assumed progenitors, the low-mass X-ray binaries. None of the pulsars exhibits any evidence of a planetary system such as that observed around PSR B1257+12, indicating that planetary formation around millisecond pulsars is rare.