Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel prognostic related lncRNA signature associated with amino acid metabolism in glioma

Background Glioma is one of the deadliest malignant brain tumors in adults, which is highly invasive and has a poor prognosis, and long non-coding RNAs (lncRNAs) have key roles in the progression of glioma. Amino acid metabolism reprogramming is an emerging hallmark in cancer. However, the diverse amino acid metabolism programs and prognostic value remain unclear during glioma progression. Thus, we aim to find potential amino-related prognostic glioma hub genes, elaborate and verify their functions, and explore further their impact on glioma. Methods Glioblastoma (GBM) and low-grade glioma (LGG) patients’ data were downloaded from TCGA and CCGA datasets. LncRNAs associated with amino acid metabolism were discriminated against via correlation analysis. LASSO analysis and Cox regression analysis were conducted to identify lncRNAs related to prognosis. GSVA and GSEA were performed to predict the potential biological functions of lncRNA. Somatic mutation data and CNV data were further built to demonstrate genomic alterations and the correlation between risk scores. Human glioma cell lines U251 and U87-MG were used for further validation in vitro experiments. Results There were eight amino-related lncRNAs in total with a high prognostic value that were identified via Cox regression and LASSO regression analyses. The high risk-score group presented a significantly poorer prognosis compared with the low risk-score group, with more clinicopathological features and characteristic genomic aberrations. Our results provided new insights into biological functions in the above signature lncRNAs, which participate in the amino acid metabolism of glioma. LINC01561 is one of the eight identified lncRNAs, which was adopted for further verification. In in vitro experiments, siRNA-mediated LINC01561 silencing suppresses glioma cells’ viability, migration, and proliferation. Conclusion Novel amino-related lncRNAs associated with the survival of glioma patients were identified, and a lncRNA signature can predict glioma prognosis and therapy response, which possibly has vital roles in glioma. Meanwhile, it emphasized the importance of amino acid metabolism in glioma, particularly in providing deeper research at the molecular level.
Plastic Recycling Feasibility with the Triple-Layered Business Model Canvas

The massive consumption of plastic material and its waste worldwide has made it necessary to find alternative solutions to reduce the size of landfill areas and recover their energy content. Pyrolysis is one of the chemical recovery technologies for plastics whose return on investment is estimated between 16% and 21%. This article aims to use the Triple Layer Business Model Canvas tool, which considers the elements of a business model visually and dynamically based on the three pillars of sustainability (economic, environmental, and social). This approach allowed for a comprehensive analysis of the sustainability-oriented business model. As a result, we concluded that pyrolysis is viable as a complementary process to other means of mechanical recycling and energy recovery.
The critical branching process with immigration stopped at zero

Limit theorems for the Galton–Watson process with immigration (BPI), where immigration is not permitted when the process is in state 0 (so that this state is absorbing), have been studied for the subcritical and supercritical cases by Seneta and Tavaré (1983). It is pointed out here that, apart from a change of context, the corresponding theorem in the critical case has been obtained by Vatutin (1977). Extensions which follow from a more general form of initial distribution are sketched, including a new form of limit result (7).
Application of mass scaling in simulation of ring rolling by three-dimensional finite element method

The significance and theoretical basis of using the method of mass scaling in the simulation of ring rolling by the three-dimensional finite element method was elaborated in this paper,and the methods of mass scaling were classified in the process simulation of explicit dynamic finite element,and the principles of selecting the method of mass scaling were gained in the process of ring rolling. In the end,the rigid-plastic finite element plumbum modeling was established on the base of ABAQUS/ EXPLICT operating flat.The selecting result was proved through simulation and comparing the calculation theory.Consequently,the most appropriate ring rolling mass scaling method was summarized.
Low‐frequency electromagnetic scattering by a metal torus in a lossless medium with magnetic dipolar illumination

The present contribution is concerned with an analytical presentation of the low‐frequency electromagnetic fields, which are scattered off a highly conductive ring torus that is embedded within an otherwise lossless ambient and interacting with a time‐harmonic magnetic dipole of arbitrary orientation, located nearby in the three‐dimensional space. Therein, the particular 3‐D scattering boundary value problem is modeled with respect to the solid impenetrable torus‐shaped body, where the toroidal geometry fits perfectly. The incident, the scattered, and the total non‐axisymmetric magnetic and electric fields are expanded in terms of positive integral powers of the real‐valued wave number of the exterior medium at the low‐frequency regime, whereas the static Rayleigh approximation and the first three dynamic terms provide the most significant part of the solution, because all the additional terms are small contributors and, hence, they are neglected. Consequently, the typical Maxwell‐type physical problem is transformed into intertwined either Laplace's or Poisson's potential‐type boundary value problems with the proper conditions, attached to the metallic surface of the torus. The fields of interest assume representations via infinite series expansions in terms of standard toroidal eigenfunctions, obtaining in that way analytical closed‐form solutions in a compact fashion. Although this mathematical procedure leads to infinite linear systems for every single case, these can be readily and approximately solved at a certain level of desired accuracy through standard cut‐off techniques. Copyright © 2016 John Wiley & Sons, Ltd.
Facial expression reconstruction on the basis of selected vertices of triangle mesh

Facial expression reconstruction is an important issue in the field of computer graphics. While it is relatively easy to create an animation based on meshes constructed through video recordings, this kind of high-quality data is often not transferred to another model because of lack of intermediary, anthropometry-based way to do so. However, if a high-quality mesh is sampled with sufficient density, it is possible to use obtained feature points to encode the shape of surrounding vertices in a way that can be easily transferred to another mesh with corresponding feature points. In this paper we present a method used for obtaining information for the purpose of reconstructing changes in facial surface on the basis of selected feature points.
Large-Angular-Scale Anisotropy in the Cosmic Background Radiation

Measurements of the large-angular-scale anisotropy of the cosmic background radiation made from the northern hemisphere are in essential agreement with each other and indicate a first order spherical harmonic component with an amplitude of approximately 3 mK. New data from the southern hemisphere support these previous results. This first order anisotropy is interpreted as resulting from the motion of the solar system relative to the cosmic background radiation. There is no evidence of any higher order anisotropy to the level of 1 mK.
Laminar premixed burning characteristics of methanol/ethanol/air at high temperature and pressure

A numerical study was conducted to evaluate the laminar burning characteristics of methanol/ethanol/air flames under engine operating conditions. Methanol and ethanol are common burning oil of biomass that can replace fossil fuels and have a high laminar combustion rate relative to gasoline. Few scholars have studied the laminar combustion characteristics of methanol/ethanol mixture. This study aims to analyze the similarities and differences of methanol/ethanol/air flames for different methanol percentages and equivalence ratios in a wide range of pressure and temperature conditions. Chemkin software with chemical reaction kinetic mechanism of Mittal was used and validated against experimental data from the literature. The results showed that methanol significantly increases the laminar burning velocities (LBVs) and the net heat release rate. The maximum LBV is obtained at the equivalence ratio of 1.1. Due to the high calorific value of ethanol, the adiabatic flame temperature of ethanol are slightly higher than that of methanol. The hydrodynamic instabilities of methanol/ethanol/air flame increase at first and then decrease with the increase of equivalence ratio. Finally, sensitivity analysis show that H + O2 < = > O + OH (R1) mainly influences the LBV.
Rhabdomyolysis in Critically Ill Patients With COVID-19: A Retrospective Study

Introduction: The total number of ICU admissions for COVID-19 patients has increased steadily. Based on the research team’s clinical observations, many patients developed rhabdomyolysis, but few cases were reported in the literature. This study explores the incidence of rhabdomyolysis and its outcomes, like mortality, the need for intubation, acute kidney injury, and the need for renal replacement therapy (RRT). Methods: We retrospectively reviewed the characteristics and outcomes of patients admitted to the ICU at a COVID-19-designated hospital in Qatar between March and July 2020. Logistic regression analysis was used to determine factors associated with mortality. Results: 1079 patients with COVID-19 were admitted to the ICU, and 146 developed rhabdomyolysis. Overall, 30.1% died (n = 44), and 40.4% developed Acute Kidney Injury (AKI) (n = 59), with only 19 cases (13%) recovering from the AKI. AKI was significantly associated with increased mortality rates among rhabdomyolysis patients. Moreover, significant differences were found between groups regarding the subject's age, calcium level, phosphorus level, and urine output. However, the AKI was the best predictor of mortality for those who got the COVID-19 infection and rhabdomyolysis. Conclusion: Rhabdomyolysis increases the risk of death in COVID-19 patients admitted to the ICU. The strongest predictor of a fatal outcome was acute kidney injury. The findings of this study emphasize the importance of early identification and prompt treatment of rhabdomyolysis in patients with severe COVID-19.
The Flow Past Elliptic-nosed Cylinders and Bodies of Revolution in Supersonic Air Streams *

The flow past families of two-dimensional cylinders and bodies of revolution with elliptic noses at zero incidence has been examined at free stream Mach numbers between 1·42 and 1·82. The observations include schlieren photographs and measurements of the pressure distributions at the surface. The measured pressure distributions and positions of the detached bow waves are found to be in fair agreement with values calculated by a number of methods. The drag coefficients of the slender two-dimensional elliptic noses are considerably higher than those calculated for wedges of the same axis ratio with attached shock waves, but the drags become almost equal when the axis ratio approaches the value for subsonic flow behind the bow wave of the wedge. For most axis ratios the drag coefficients of the elliptic-nosed bodies of revolution are lower than those for cones of the same axis ratio.
Thermal modeling and analysis of three-dimensional integrated circuits with irregular structure

Considering the manufacturing and packaging process, three-dimensional integrated circuits design often requires irregular chip structures. Three-dimensional integrated circuits with irregular structures can facilitate differentiated chip design and reduce manufacturing costs. Highly complex through-silicon vias have not been considered in past thermal modeling and analysis of irregularly structured three-dimensional integrated circuits. Thus, a detailed model of a three-layer irregularly structured 3D integrated circuit with through-silicon vias and microbumps is developed, and an analytical method based on the thermal resistance network model is proposed to extract the equivalent thermal conductivity of through-silicon vias and microbumps, the accuracy of which is verified by a 3D finite element simulation method. The results show that the maximum temperature and temperature gradient obtained by the equivalent model simulations agree well with the detailed model results, proving the validity of the equivalent model. To save the computational cost, the effects of heat source area, power setting and through-silicon vias structure parameters on the maximum temperature are studied by numerical simulation method based on the equivalent model. Heat source area equal to the overlap between chip layers, high power chips close to the heat sink, and reducing through-silicon vias pitch can better reduce the maximum temperature. The results provide a reference value for thermal design and optimization of three-dimensional integrated circuits with irregular structures.
On generalized exponential transformations for proportions

ABSTRACT Transformation of the response is a popular method to meet the usual assumptions of statistical methods based on linear models such as ANOVA and t-test. In this paper, we introduce new families of transformations for proportions or percentage data. Most of the transformations for proportions require 0 < x < 1 (where x denotes the proportion), which is often not the case in real data. The proposed families of transformations allow x = 0 and x = 1. We study the properties of the proposed transformations, as well as the performance in achieving normality and homoscedasticity. We analyze three real data sets to empirically show how the new transformation performs in meeting the usual assumptions. A simulation study is also performed to study the behavior of new families of transformations.
Design and Implementation of Advanced Digital Controls for Piezo-Actuated Systems using Embedded Control Platform

: This paper presents design of an advanced digital control method and implementation on an embedded control platform for precision tracking of piezo-actuated systems. The proposed control method consisting of neural control and repetitive control aims to achieve good performance for repetitive tracking tasks and robustness for uncertain parameters change. A FPGA based embedded controller, CompactRIO, is applied to realize such a complicated control algorithm under LabVIEW programming environment. With careful consideration of implementation issues involved in the controller design process, the experimental results demonstrate the effectiveness of the method and verify the feasibility of using embedded hardware for advanced controls implementation
Approximating the $M_2$ method by the extended quadrature method of moments for radiative transfer in slab geometry

We consider the simplest member of the hierarchy of the extended quadrature method of moments (EQMOM), which gives equations for the zeroth-, first-, and second-order moments of the energy density of photons in the radiative transfer equations in slab geometry. First we show that the equations are well-defined for all moment vectors consistent with a nonnegative underlying distribution, and that the reconstruction is explicit and therefore computationally inexpensive. Second, we show that the resulting moment equations are hyperbolic. These two properties make this moment method quite similar to the attractive but far more expensive $M_2$ method. We confirm through numerical solutions to several benchmark problems that the methods give qualitatively similar results.
An Investigation of Joining Polyamide (PA) to Stainless Steel AISI 316L by Hot Press Process

A hot press process was used as a technique to pound a polyamide type of polymer of a thickness (2mm) to stainless steel AISI 316L of the thickness (1mm). A hybrid joint of dissimilar material was accomplished by a hot press bonding process. During the joining process, three different parameters of process were used: processing temperature of 175, 170 and 165°C, processing pressure of 3, 6 and 9 bar and time of 1.5, 3 and 4.5 min. The surface of stainless steel was prepared and treated by a mechanical treatment (surface grinding) to improve the wettability to increase the shear strength. A shear tensile, scanning electron microscope (SEM) and energy dispersive spectrometry (EDS) tests were used to investigate and examine the joint (bounding) specimens. The Minitab program was used to analyze the effect of the parameters of the joining process on the joint properties. The maximum and minimum values of shear force are exhibited at a processing temperature of 165°C, applied pressure of 6 bars and processing time of 1.5 minutes; the minimum shear force was found to be 675 N, while the maximum shear force was 2182 N at a processing temperature of 175°C, applied pressure of 6 bars and processing time of 3 minutes. The tested joints failed by an interfacial shear and necking in the polymer side with a ductile fracture. The joining process occurred through a mechanical interlocking between the molten polymer and the treated surface of the steel specimen. The average thickness of the joining line for the tested specimens was 8µm.
Experimental validation of a hybrid ejector model with refrigerant R141B

A simple but effective hybrid ejector model was developed.First a fundamental model for calculating entrainment ratio was derived based on thermodynamic and fluid dynamic principles.Then a 2D velocity function was used to approximate the velocity distribution of entrained flow to simplify the fundamental equation.Based on numerical studies and the lumped-parameter method,the hybrid ejector model was finally established.Compared with the existing models,the developed model was very simple,consisting of only one equation and three constant parameters.Therefore the model can be used in real time control and optimization of ejector systems.Furthermore,the procedure for identifying the parameters was presented.In the end,an ejector refrigeration system with refrigerant R141B was investigated.The results of the experimental validation showed that the proposed model could accurately predict the ejector performance.
Rattling Good Superconductor: β-Pyrochlore Oxides AOs2O6

In this review, we present a summary of experimental and theoretical investigations on the rattling and superconductivity of the β-pyrochlore osmium oxides AOs 2 O 6 (A = Cs, Rb, and K), after these oxides were found in 2004. First, we provide the background of our research, a brief history of rattling, and the characteristics of cage compounds thus far studied in terms of rattling. Then we show the structural properties of β-pyrochlore oxides, focusing on the rattling of an A ion in an oversized cage made of oxide ions. After the chemical trends of the normal and superconducting states are summarized, the role of rattling, which is a local, essentially anharmonic oscillation with a large atomic excursion, is discussed. Furthermore, two recent topics, i.e., an isomorphic structural transition and peculiar behavior under high pressure, are addressed. We conclude that rattling vibrations markedly affect the structural and electronic properties of β-pyrochlore oxides and even induce or enhance superconductiv.
Varentropy estimators with applications in testing uniformity

Recently, Di Crescenzo and Paolillo [Di Crescenzo A, Paolillo L. Analysis and applications of the residual varentropy of random lifetimes. Probab Eng Informational Sci. 2021;35(3):680–698] and Maadani et al. [Maadani S, Mohtashami Borzadaran GR, Rezaei Roknabadi AH. Varentropy of order statistics and some stochastic comparisons. Commun Stat - Theory Methods. 2021;51(18):6447–6460. ] presented the applications of varentropy in reliability theory. The present article introduces some estimators of the varentropy of a continuous random variable. Properties of the proposed estimators are stated, and comparisons are made in terms of the mean squared error. Then, the proposed estimators are applied and some tests for uniformity are constructed. Percentage points and power values of the tests against seven alternatives are reported. The results of a simulation study show that the tests have good performance in terms of power.
Spatio-Temporal Theory of Optical Kerr Nonlinear Instability

This work derives a nonlinear optical spatio-temporal instability. It is a perturbative analysis that begins from Maxwell’s equations and its constituent relations to derive a vectorial nonlinear wave equation. In fact, it is a new theoretical method that has been developed that builds on previous aspects of nonlinear optics in a more general way. The perturbation in the wave equation derived is coupled with its complex conjugate which has been taken for granted so far. Once decoupled it gives rise to a second-order equation and thus a true instability regime because the wavevector can become complex. The solution obtained for the perturbation that co-propagates with the driving laser is a generalization to modulation and filamentation instability, extending beyond the nonlinear Schrödinger and nonlinear transverse diffusion equations[1][2]. As a result of this new mechanism, new phenomena can be explored. For example, the Kerr Nonlinear Instability can lead to exponential growth, and hence amplification. This can occur even at wavelengths that are typically hard to operate at, such as into far infrared wavelengths. This provides a mechanism for obtaining amplification in the far infrared from a small seed pulse without the need for population inversion. The analysis provides the basic framework that can be extended to many different avenues. This will be the subject of future work, as outlined in the conclusion of this thesis.
A class of nonlinear Lagrangian algorithms for minimax problems

This paper studies a class of nonlinear Lagrangian algorithms for solving unconstrained minimax problems, which will provide an approach to constructing a concrete and novel Lagrangian algorithm and simplify the relevant theory analysis. A class of nonlinear Lagrangians is constructed and a set of mild conditions on them are proposed to guarantee the convergence theory of the corresponding algorithms. The unified convergence analysis framework for the class of algorithms is established. It is shown that the sequence solutions obtained by the class of algorithms are Q-linearly convergent when the controlling parameter is less than a threshold under some assumptions and the error bounds of the sequence solutions are obtained at the same time. The properties of dual problem framework based on the unified nonlinear Lagrangians are analyzed, which the classical Lagrangian lacks. Furthermore, it is presented that the proposed class of nonlinear Lagrangians contains four well-known nonlinear Lagrangians for unconstrained minimax problems appearing in the literatures. At last, numerical results for ten typical test problems are reported, based on the four nonlinear Lagrangians in the proposed class.