Miracle-dz/UniFAR-FTUs huggingface dataset:
Cone-partitioned-plate geometry for the ARES rheometer with temperature control

A cone-partitioned-plate fixture for the ARES rheometer (TA instruments, DE) has been designed, implemented, and validated. This geometry allows measuring the nonlinear shear flow properties of samples, which display edge fracture in regular cone-and-plate geometries, such as polymer melts and concentrated solutions. Reliable bulk shear flow data can be obtained with these systems at high rates and strains, using very small sample quantities. Measurements can be performed at temperatures ranging from at least − 50 °C up to over 200 °C in a controlled nitrogen environment. An extensive set of start-up shear measurements on moderately entangled linear monodisperse polyisoprene (60 kg/mol) and polystyrene (182 kg/mol) melts to validate the design are presented and discussed with focus on the Cox–Merz rule and the characteristics of the stress overshoot. With this new geometry, the range of artifact-free data is extended by a decade in Weissenberg number (WiD). It is shown that the obtained results compared w.
Brain Tumor Classification by Convolutional Neural Network

Image categorization challenges are typically solved by means of the employment of convolutional neural networks (CNN). The categorization of medical photos is currently receiving the attention of an ever-increasing number of people. Backpropagation is performed in the process of selecting features in an adaptive manner. Some of the CNN building parts that are utilized in this process are convolution, pooling, and fully connected layers. Backpropagation is performed to accomplish this. The design of a CNN model that is capable of identifying brain tumors in contrast-enhanced T1-weighted MRI images was the principal goal of this research. Within the structure that I've outlined, there are two steps that are vitally important. After the initial processing of the photos applying a number of image processing techniques, the images are subsequently categorized with the assistance of a CNN. Afterwards, the photos are stored. There are a total of 3064 distinct cases of glioma, meningioma, and pituitary tumors contained in the collection of images of brain tumors that were utilized in the experiment (glioma, meningioma, pituitary) (glioma, meningioma, pituitary) (glioma, meningioma, pituitary) (glioma, meningioma, pituitary). By implementing our CNN model, we were able to attain above-average testing accuracy, as well as recall and precision that were both above-average. The proposed method performed extremely well on the dataset, exceeding a substantial number of the other methods that are already accessible.
An Efficient OTA Cross-Polarization Performance Estimation Method for 5G mm-Wave Large-scale Arrays

In this paper, an efficient over-the-air (OTA) cross-polarization performance estimation method is proposed for the fifth-generation (5G) millimeter-wave (mm-Wave) large-scale arrays. A new transformation and revision algorithm is developed to achieve high precision and little time consumption in the cross-polarization performance estimation of the antenna array under the midfield (MF) condition. Detailed design, analysis, and experimental results using a 64-element phased array in the 26GHz band are provided in this paper. The proposed method is proved to be extraordinarily cost-effective and time-saving with comparable precision to the far-field test method.
Application of Design and Analysis of 23 Factorial experiment in determining some factors influencing recall ability in Short Term Memory

In this paper, we consider a 23 factorial experiment of factors influencing recall ability in short – term memory. The factors of interest are word length, word list and study time; and these factors tested on a group of students. The data obtained from the experiment are analyzed using the analysis of variance (ANOVA) of 23 factorial experiment (Yates Algorithm). The results show that recall ability in short term memory depends on word list, word length, study time and the interaction effect of list length and word length. Keywords : 2 3 factorial experiment, word length, design of experiment, Yate's Algorithm, Analysis of Variance Global Journal of Pure and Applied Sciences Vol. 14 (3) 2008: pp. 371-374
Vivaldi antenna design procedure from a conventional slot antenna

The design procedure of a Vivaldi antenna is presented in this paper. This procedure starts from a conventional slot antenna with a two-layer feeding structure consisting of microstrip and coplanar waveguide (CPW). The original slot antenna resonates in two bands, the first between 0.9760 GHz and 1.3200 GHz and the second between 2.1680 GHz and 2.6240 GHz, with fractional bandwidths (FBW) of 29.97% and 19.03%, respectively. The designed Vivaldi antenna is matched in the range between 0.9520 GHz and 2.9200 GHz, which corresponds to an FBW of 101.65%. This antenna is obtained after sequentially applying linear and exponential tapering to the original slot antenna. It is found that the best performance of the Vivaldi antenna is achieved by setting a maximum width of the tapered slot at its end and introducing an impedance step at the transition between CPW and tapered slot. The gain of the designed Vivaldi antenna at 2.4 GHz is 1.2135 dB, which is an improvement over the 0.3013 dB gain of the original slot antenna.
Network Intrusion Detection Method Based on Attention Mechanism and DenseNet

Convolutional neural network is very effective for feature extraction of network intrusion detection data. However, most of the existing intrusion detection methods based on convolutional neural networks are not deep in layers and when the neural network is deepened, problems such as vanishing gradients will occur. Aiming at the above problems, a network intrusion detection method that combines attention mechanism and DenseNet is proposed. The method turns pre-processed network traffic data into grayscale maps and extracts features using DenseNet, which can deepen the network while preventing gradient disappearance. In order to reduce the interference of invalid information in network traffic data and make the model extract important features better, the ECANet efficient channel attention mechanism is introduced to increase the weight of important features; and then the Swish activation function is introduced to further improve DenseNet, which makes the model have better robustness and accuracy. The method is able to perform deep feature learning, resist overfitting, and alleviate vanishing gradients. Experiments were conducted using the NSL-KDD dataset and the UNSW-NB15 dataset. The experiment shows that the model has improved in accuracy and F1-score metrics than other shallow models, which proves the effectiveness of the method.
Explanation of pressure-induced transformations in chain silicates based on their modular structures

Above 35 GPa tetrahedrally coordinated (SiO4) chain silicates either become amorphous or transform to dense crystalline phases that generally contain SiO6 octahedra, depending on the sequencing of their building blocks (P and C modules). Previous work shows that the P and C modules are respectively slabs of the pyroxene and CaSiO3 chain silicate structures. Chain silicates containing only P modules (e.g. the pyroxenes MgSiO3, Ca0.5Mg0.5SiO3, MnSiO3) transform to dense crystalline phases. Chain silicates containing a sequence of P and C modules (e.g. the pyroxenoid MnSiO3) become amorphous, and those containing only C modules (e.g. the pyroxenoid CaSiO3) exhibit both crystalline and amorphous regions. Amorphization is likely to be triggered by disordering of the C modules and C-P interfaces, both of which become unstable with respect to P modules and P-P interfaces upon compression. The absence of C-P interfaces may explain the existence of both crystalline and amorphous regions in chain silicates containing only C modules.
Research on Intrusion Detection Model Based on PCA-SVM

With the development of machine learning technology, the application of intrusion detection models with statistical machine learning as its core in network security issues shows important research significance. To aim at the problem that the accuracy and efficiency of basic SVM algorithm in detecting NSL-KDD data sets are not ideal, this paper designs a PCA-SVM phased intrusion detection model. Firstly, the dimension of the data set is reduced based on principal component analysis, and then the model parameters are obtained by training SVM with the NSL-KDD test data set. Finally, the experiment is carried out on the NSL-KDD test set. Compared with the SVM single model, when the penalty coefficient is 2.0, the accuracy of the phased model is increased from 65.6% to 86.7%, and the detection time is reduced by 27.0%.
Pair cascades in extragalactic jets. 1: Gamma rays

A model of the approximately 0.1-10 GeV gamma-ray jets observed by the EGRET instrument on the Compton Gamma Ray Observatory (CGRO) is developed. It is shown that the soft X-ray background in an active galactic nuclei (AGN) contributes an opacity to pair production and that a gamma-ray photosphere or 'gamma-sphere' can be defined whose radius increases with gamma-ray energy E(sub gamma). It is proposed that the observed gamma-ray emission is due to inverse Compton scattering of the ambient soft X-rays by relativistic pairs accelerated in situ by shock fronts in a relativistic jet. For a wide range of assumed physical conditions, the emission at a given E(sub gamma) originates from near the associated gamma-spheres; emission from below the gamma-sphere initiates a cascade down to the energy where the gamma-rays can escape freely. In this model, the slope of the emergent gamma-ray spectrum is determined by the scattered, soft X-ray spectrum and the variation of the particle acceleration rate with jet radius. In general it is expected that the variation in the gamma-ray flux will be either slower or later at higher energy. It is also shown that the efficiency of conversion of energy from injected high-energy pairs to 0.1-10 GeV gamma-rays is typically high so that the models are radiatively efficient. It is argued that the observed gamma-ray jets are likely to be particle-dominated, though magnetically confined. The gamma-ray spectrum should continue down to an energy approximately 5 MeV emitted from an annihilation radius within which the pair content of the jet is limited by annihilation. This is probably the site of the beamed hard X-ray emission. It is speculated that the relativistic jets associated with radio-loud AGNs are powered electromagnetically by a spinning black hole and that they are collimated by an encircling MHD wind leaving the accretion disk at a slower speed. Powerful FR2 radio sources are formed when the hole spins rapidly and the relativistic core accelerates the MHD sheath; low-power FR1 sources ensue when the opposite occurs. Finally, it is suggested that the key factor which determines whether or not a given active nucleus can form a jet and a radio to gamma-ray nonthermal continuum is the central density of mass-losing stars which, when large, precludes the formation of a super-Alfvenic, collimating wind.
Time Administration of Virtual File System Operations

A file system is a collection of rules that govern how files are labelled, maintained, and accessed from a storage medium. Initially, there were a lot of different file systems within different servers and machines. Various file operations are allowed only between the files present in the same operating systems. When we have files in different operating systems these operations cannot be performed as the file system does not allow it. The virtual file system becomes an abstract overlay over a more tangible file system, which allows heterogeneous file transfer among different Operating Systems. Although the features offered by both the File Systems are similar, the Virtual File System provides us with an environment, wherein the Files can be accessed by any Operating System type and File System type. This paper focuses on comparing the time it takes to complete the different file operations like creating, reading, writing, deleting a file, etc. using the VFS and a traditional FS. We believe this study would help in better understanding the benefits of using a VFS.
Computational Hardness of the Permuted Kernel and Subcode Equivalence Problems

The Permuted Kernel Problem (PKP) asks to find a permutation which maps an input matrix into the kernel of some given vector space. The literature exhibits several works studying its hardness in the case of the input matrix being mono-dimensional (i.e., a vector), while the multi-dimensional case has received much less attention and, de facto, only the case of a binary ambient finite field has been studied. The Subcode Equivalence Problem (SEP), instead, asks to find a permutation so that a given linear code becomes a subcode of another given code. At the best of our knowledge, no algorithm to solve the SEP has ever been proposed. In this paper we study the computational hardness of solving these problems. We first show that, despite going by different names, PKP and SEP are exactly the same problem. Then we consider the state-of-the-art solver for the mono-dimensional PKP (namely, the KMP algorithm, proposed by Koussa, Macario-Rat and Patarin), generalize it to the multi-dimensional case and analyze both the finite and the asymptotic regimes. We further propose a new algorithm, which can be thought of as a refinement of KMP. In the asymptotic regime our algorithm does not improve on KMP but, in the finite regime (and for parameters of practical interest), we achieve significant improvements, especially for the multi-dimensional version of PKP. As an evidence, we show that it is the fastest algorithm to attack several recommended instances of cryptosystems based on PKP. As a side-effect, given the mentioned equivalence between PKP and SEP, all the algorithms we analyze in this paper can be used to solve instances of the latter problem.
The Impact of Mutation of Myelodysplasia-Related Genes in De Novo Acute Myeloid Leukemia Carrying NPM1 Mutation

Simple Summary NPM1-mutated acute myeloid leukemia (AML) is one of the most common subtypes of AML in patients with a normal karyotype. In the recently introduced International Consensus Classification, detection of gene mutations typically associated with myelodysplastic syndrome (MDS) is considered an adverse biomarker in AML patients. However, the impact of these gene mutations occurring in the setting of AML with NPM1 mutation and without FLT3-ITD mutation, a favorable subtype, is unclear. Furthermore, correlation between minimal measurable disease (MMD) with survival in the context of these co-mutations also remains unclear. This study aims to address these issues. We found that patients with or without MDS-related gene mutations treated intensively had a similar MMD rate; however, the former group had a higher relapse rate and shorter progression-free survival (PFS). Abstract Background: The impact of gene mutations typically associated with myelodysplastic syndrome (MDS) in acute myeloid leukemia (AML) with NPM1 mutation is unclear. Methods: Using a cohort of 107 patients with NPM1-mutated AML treated with risk-adapted therapy, we compared survival outcomes of patients without MDS-related gene mutations (group A) with those carrying concurrent FLT3-ITD (group B) or with MDS-related gene mutations (group C). Minimal measurable disease (MMD) status assessed by multiparameter flow cytometry (MFC), polymerase chain reaction (PCR), and/or next-generation sequencing (NGS) were reviewed. Results: Among the 69 patients treated intensively, group C showed significantly inferior progression-free survival (PFS, p < 0.0001) but not overall survival (OS, p = 0.055) compared to group A. Though groups A and C had a similar MMD rate, group C patients had a higher relapse rate (p = 0.016). Relapse correlated with MMD status at the end of cycle 2 induction (p = 0.023). Survival of group C patients was similar to that of group B. Conclusion: MDS-related gene mutations are associated with an inferior survival in NPM1-mutated AML.
Tripartite entanglement generation using cavity-QED and its dynamics in dissipative environments

We investigate the generation of tripartite field states inside the high-Q cavities using the cavity QED. The main goal is to successfully generate the entanglement in tripartite systems by passing two-level atoms through three identical high-Q cavities. Our scheme gives the successful generation of entangled tripartite W and GHZ states for pre-determined interaction times of atoms with the cavity fields. The dynamics of initial entangled states is studied as the system evolves in the dissipative environments.
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces

Recent advances have extended the scope of Bayesian optimization (BO) to expensive-to-evaluate black-box functions with dozens of dimensions, aspiring to unlock impactful applications, for example, in the life sciences, neural architecture search, and robotics. However, a closer examination reveals that the state-of-the-art methods for high-dimensional Bayesian optimization (HDBO) suffer from degrading performance as the number of dimensions increases or even risk failure if certain unverifiable assumptions are not met. This paper proposes BAxUS that leverages a novel family of nested random subspaces to adapt the space it optimizes over to the problem. This ensures high performance while removing the risk of failure, which we assert via theoretical guarantees. A comprehensive evaluation demonstrates that BAxUS achieves better results than the state-of-the-art methods for a broad set of applications.
A global Lagrangian eddy dataset based on satellite altimetry

Abstract. The methods used to identify coherent ocean eddies are either Eulerian or Lagrangian in nature, and nearly all existing eddy datasets are based on the Eulerian method. In this study, millions of Lagrangian particles are advected by satellite-derived surface geostrophic velocities over the period of 1993–2019. Using the method of Lagrangian-averaged vorticity deviation (LAVD), we present a global Lagrangian eddy dataset (GLED v1.0, Liu and Abernathey, 2022, https://doi.org/10.5281/zenodo.7349753). This open-source dataset contains not only the general features (eddy center position, equivalent radius, rotation property, etc.) of eddies with lifetimes of 30, 90, and 180 d, but also the trajectories of particles trapped by coherent eddies over the lifetime. We present the statistical features of Lagrangian eddies and compare them with those of the most widely used sea surface height (SSH) eddies, focusing on generation sites, size, and propagation speed. A remarkable feature is that Lagrangian eddies are generally smaller than SSH eddies, with a radius ratio of about 0.5. Also, the validation using Argo floats indicates that coherent eddies from GLED v1.0 exist in the real ocean and have the ability to transport water parcels. Our eddy dataset provides an additional option for oceanographers to understand the interaction between coherent eddies and other physical or biochemical processes in the Earth system.
TESTS IF DROPOUTS ARE MISSED AT RANDOM

Dropouts are a common problem in longitudinal investigations where individuals are measured repeatedly over time. This holds also in a study on rheumatoid arthritis where an inception cohort was followed up over three years. The question arose whether or not these individuals caused a selection bias. Two tests taken from the literature could be used to answer this question. But since they do not use all available information, a new asymptotic test is proposed. In a small simulation study it is shown that the new test is more powerful than the others.
Sub-30-nm resolution parallel EB lithography based on a planar type Si nanowire array ballistic electron source

Sub-30 nm resolution parallel EB lithography based on a planar type silicon nanowire array ballistic electron emitter (PBE) is demonstrated in this paper. The Parallel EB lithography is performed on a 1:1 electron projection system. The system consists of the PBE as a surface electron source, a target wafer parallel to the electron source, and uniform vertical electromagnetic fields. The PBE contained the desired pattern and projected the patterned electron image on the target. Using the PBE, the electron projection system provides a high resolution of the parallel lithography without any serious chromatic aberrations. The PBE emits ballistic and/or quasiballistic electrons with small angle dispersion and small energy dispersion by quantum confinement effect in the PBE. As results of that, the parallel EB lithography achieved high resolution below 30nm even in a low accelerating voltage condition. The 1:1 paralell EB lithography system based on the PBE provides next generation device fabrication technique.
On the origin of continuum polarization in white dwarfs

We propose a model in which classical cyclotron emission from a hot corona can account for much of the continuum linear and circular polarization which has been observed at optical frequencies for several white dwarfs. Important features of our model are: (1) The degree of linear polarization (p) approx. = degree of circular polarization (q) for a variety of magnetic field configurations; (2) continuum polarization occurs in the optical only for surface magnetic field strengths B> or =10/sup 8/ gauss; (3) changes with wavelength in the handedness of circular polarization and in the position angle of the linear polarization occur naturally; and (4) the strong fields required imply severe shifting and smearing of sectral lines, for which there is evidence in some white dwarfs. Possible energy sources for and structures of such coronae are discussed. Observational tests of the model are suggested. (AIP)
Cavity suppression in nitride based superluminescent diodes

We have fabricated two types of InGaN superluminescent diodes applying two different concepts of cavity suppression: a tilted waveguide geometry and passive absorber solution. Both types of devices showed superluminescence behavior, but both eventually lased under the application of high enough current. The lasing threshold turned out to be higher for tilted waveguide devices. By using long (2 mm) waveguides, we managed to demonstrate the power in superluminescent mode exceeding 100 mW in blue/violet part of the spectrum.
A study of galaxy groups and clusters - The case for a clumpy intergalactic medium.

A nonuniform model for a dense intergalactic medium ( OMEGA =1.5) is constructed under the assumption that all groups and clusters of galaxies are gravitationally bound by ionized gas. Catalogs by de Vaucoulcurs arad Abell are utilized to provide an almost complete sample of the spatial distribution of goups and clusters over a wide range of richness, and a distribution function is derived for galaxy goups and clusters as a function of velocity dispersion. A simple scaling law is applied to predict velocity dispersions for the very rich Abell clusters. Thermal bremsstrahlung emission from the intracluster gas accounts for the observed emission over 2-10 keV from several rich clusters, and also contributes up to 20 percent of the diffuse X-ray background over a considerable fraction of the observed range. The amount of X-ray emitting gas is restricted to a small fraction of the virial mass, with the remainder of the binding mass present as cooler ionized clouds. Available soft X-ray and ultraviolet diffuse background observations are used to define a narrow range of permissible temperatures and densities for these clouds. In particular, intergalactic clouds with temperatures 2 to 5x10/sup 5/ deg K and masses comparable to dwarf galaxies are notmore » inconsiatent with present observations of groups and small clusters. This model is applied to calculate the probability of producing an absorption line in the spectrum of a distant object. (auth)« less