Miracle-dz/UniFAR-FTUs huggingface dataset:
An improved decentralized control method for Bank‐to‐Turn missile autopilot design

In this paper, an improved decentralized control method is proposed to design a bank‐to‐turn (BTT) missile autopilot. Compared to the general diagonal blocked Lyapunov function method, the improved decentralized control method by considering the coupling terms as the structured uncertainty can provide a simpler design, tolerate more types of uncertainties and yield a better dynamic performance. Moreover, this method can be extended to multi‐model systems expediently. Due to the structural constraints, the decentralized controller may not realize the tracking control target under some conditions, and this paper also provides such a condition. The decentralized controller design is formulated in terms of linear matrix inequality (LMI) optimization, and the simulation results demonstrate the effectiveness of the proposed method.
SOCS1 Deficiency Promotes Hepatocellular Carcinoma via SOCS3-Dependent CDKN1A Induction and NRF2 Activation

Simple Summary Gene coding for the SOCS1 protein is frequently inactivated in liver cancer, suggesting that SOCS1 protects liver cells from becoming cancerous. This notion is supported by the increased susceptibility of mice lacking SOCS1 to develop liver cancer. Understanding how the SOCS1 protein protects from liver cancer could help in the development of new treatment strategies. CDKN1A is another protein that protects against many cancers including liver cancer. However, under certain unknown circumstances, CDKN1A can play a completely opposite role in promoting cancer growth. When CDKN1A gains such an undesirable function is not clear. Our findings on mouse models of liver cancer, and data from human liver cancer patients, show that SOCS1 suppresses the expression of CDKN1A, and in doing so, prevents the ability of liver cells to withstand the stress associated with cancer growth. This stress reduction pathway represents a potential therapeutic target in SOCS1-less liver cancers. Abstract SOCS1 deficiency, which increases susceptibility to hepatocellular carcinoma (HCC), promotes CDKN1A expression in the liver. High CDKN1A expression correlates with disease severity in many cancers. Here, we demonstrate a crucial pathogenic role of CDKN1A in diethyl nitrosamine (DEN)-induced HCC in SOCS1-deficient mice. Mechanistic studies on DEN-induced genotoxic response revealed that SOCS1-deficient hepatocytes upregulate SOCS3 expression, SOCS3 promotes p53 activation, and Cdkn1a induction that were abolished by deleting either Socs3 or Tp53. Previous reports implicate CDKN1A in promoting oxidative stress response mediated by NRF2, which is required for DEN-induced hepatocarcinogenesis. We show increased induction of NRF2 and its target genes in SOCS1-deficient livers following DEN treatment that was abrogated by the deletion of either Cdkn1a or Socs3. Loss of SOCS3 in SOCS1-deficient mice reduced the growth of DEN-induced HCC without affecting tumor incidence. In the TCGA-LIHC dataset, the SOCS1-low/SOCS3-high subgroup displayed increased CDKN1A expression, enrichment of NRF2 transcriptional signature, faster disease progression, and poor prognosis. Overall, our findings show that SOCS1 deficiency in hepatocytes promotes compensatory SOCS3 expression, p53 activation, CDKN1A induction, and NRF2 activation, which can facilitate cellular adaptation to oxidative stress and promote neoplastic growth. Thus, the NRF2 pathway represents a potential therapeutic target in SOCS1-low/SOCS3-high HCC cases.
Spaceborne UV imaging spectrograph for environmental sensing

An imaging spectrograph with high spectral resolution (< 0.55 nm) operating in the UV region between 300 - 320 nm is presented. The instrument uses Differential Optical Absorption Spectroscopy (DOAS) to monitor the SO2 total content in the earth's atmosphere from a sun synchronous orbit. The design of the entire instrument including wide-angle optics (+/- 57.5 degree(s)), opto- mechanics and sensor electronics (low light CCD application) and the in-flight calibration unit are described. The requirements on stability and calibration accuracy of the instrument caused by the DOAS method are outlined.
High resolution spectral estimation using complex coefficient filter banks

This paper considers first, for the purpose of estimating the frequency of sinusoids corrupted by noise, a spectral estimation method employing the analytic signal, and proposes an analytical signal pre-filtering technique for that estimation method. Also, it is shown that the analytic signal processing in spectral estimation gives rise to reduction in the estimation variance. Next, the spectral estimation method with complex-coefficient bandpass filters is considered and a method with complex-coefficient filter bank is developed which could analyze the entire frequency region which contains any simusoids to be estimated. This method with filter bank could resolve a problem found in the conventional method with decimation techniques. Furthermore, an algorithm is obtained which could provide considerably more accurate estimation results than the conventional one. This algorithm effectively employs the signals remaining in the sampling operation of decimation, and then averages them.
A comparative study of smoothing procedures for ordered categorical data

Methods for estimating probabilities on sample spaces for ordered-categorical variables are surveyed. The methods all involve smoothing the relative frequencies in manners which recognise the ordering among categories. Approaches of this type include convex smoothing, weighting-function and kernel-based methods, near neighbour methods, Bayes-based methods and penalized minimum-distance methods. The relationships among the methods are brought out, application is made to a medical example and a simulation study is reported which compares the methods on univariate and bivariate examples. Links with smoothing procedures in other contexts are indicated.
Stability of Supported Hybrid Lipid Bilayers on Chemically and Topographically-Modified Surfaces

plasmonic sensing. Understanding how the underlying solid surface affects the supported membrane formation and organization is necessary for the potential use of these hybrid platforms in applications for which surfaces are not flat and topographically complex. Here we assess the role of lipid phase, substrate surface energy and topography on the formation and stability of hybrid supported membranes from vesicle precursors using complementary surface-sensitive techniques, namely quartz crystal microbalance with dissipation and atomic force microscopy. The stability of hybrid bilayers against thermal and osmotic changes is evaluated and compared to standard supported lipid bilayers formed onto hydrophilic SiO 2 . Force spectroscopy measurements reveal an overall weaker lateral organization of hybrid membranes as a result of the underlying self-assembled monolayer being not optimally organized. Hybrid bilayers display a decoupled behavior between the two leaflets when vertically compressed at constant speed. On microcontact printed Au surfaces, hybrid bilayers were formed over printed
Manufacturing Technologies of Polymer Composites—A Review

Polymer composites have been widely used in the aviation, aerospace, automotive, military, medical, agricultural and industrial fields due to their excellent mechanical properties, heat resistance, flame retardant, impact resistance and corrosion resistance. In general, their manufacturing process is one of the key factors affecting the life cycle of polymer composites. This article provides an overview of typical manufacturing technologies, including surface coating, additive manufacturing and magnetic pulse powder compaction, which are normally used to reduce the failure behaviour of polymer composites in service so that the quality of composite products can be improved. Advanced polymer composite powder manufacturing processes, the processing mechanism and experimental methods are described, and the influence of different manufacturing processes on the moulding quality is revealed. This investigation can provide suitable methods for the selection of manufacturing technology to improve the quality of polymer composite products.
Computing Drug-Drug Similarity from Patient-Centric Data

In modern biology and medicine, drug-drug similarity is a major task with various applications in pharmaceutical drug development. Various direct and indirect sources of evidence obtained from drug-centric data such as side effects, drug interactions, biological targets, and chemical structures are used in the current methods to measure the level of drug-drug similarity. This paper proposes a computational method to measure drug-drug similarity using a novel source of evidence that is obtained from patient-centric data. More specifically, patients’ narration of their thoughts, opinions, and experience with drugs in social media are explored as a potential source to compute drug-drug similarity. Online healthcare communities were used to extract a dataset of patients’ reviews on anti-epileptic drugs. The collected dataset is preprocessed through Natural Language Processing (NLP) techniques and four text similarity methods are applied to measure the similarities among them. The obtained similarities are then used to generate drug-drug similarity-based ranking matrices which are analyzed through Pearson correlation, to answer questions related to the overall drug-drug similarity and the accuracy of the four similarity measures. To evaluate the obtained drug-drug similarities, they are compared with the corresponding ground-truth similarities obtained from DrugSimDB, a well-known drug-drug similarity tool that is based on drug-centric data. The results provide evidence on the feasibility of patient-centric data from social media as a novel source for computing drug-drug similarity.
Constructive robust model predictive control for constrained non-linear systems with disturbances

This study presents a new robust model predictive control (MPC) scheme for constrained continuous-time non-linear systems subject to unknown but bounded disturbances. The performance index is a function on disturbance-free state and input profiles, and the predictions are parameterised by an analytic controller with a small number of adjustable parameters. In particular, input-to-state stable control Lyapunov functions techniques are used to construct a variation of Freeman's formula with some tunable parameters, which yields an MPC with guaranteed input-to-state stability in some estimated invariant sets w.r. t the disturbance. It is further derived that the MPC here is inverse optimal for a class of dynamic game problems and has a sector margin (0.5, ∞). Finally, two numerical examples are used to illustrate the performance and effectiveness of the results obtained here.
Calculation of Loudness Levels for Musical Sounds

The application to organ tones or other sustained musical sounds of the Stevens and the Zwicker methods for loudness‐level calculation from observed sound spectra is examined. It is found that both methods, although developed for dealing with noise of the continuous spectrum type, are applicable to organ tones, a particular class of discrete component sound, subject to the use in both methods of accepted equal‐loudness contours. Examples of the loudness levels of some typical organ tones are given. Questions needing further investigation are noted.
Toward Oblique Simple Structure : Maxplane

Cattell and Muerle (1960) published a definition of the Maxplane criterion for rotation to oblique simple structure. Specific methods in their approach were not quite appropriate to yield the desired solution, and the present paper describes the development of fully appropriate strategy. A complete discussion of the final Maxplane program is given. Maxplane solutions are compared with Oblimax, Biquartimin, and visually directed solutions. For three problems of quite different size and scope, Maxplane yielded a better solution than the comparison method in each case.
Analysis of Polar Optical Scattering of Electrons in GaAs

The theory of the scattering of electrons by longitudinal optical phonons in III‐V compounds is reconsidered, in the nondegenerate limit, assuming a spherical conduction band. The off‐equilibrium part of the distribution function and the Hall‐mobility‐temperature function are obtained with a numerical resolution of the Boltzmann equation, up to a precision of a few 10−4. The results are compared with previous work due to Sondheimer and Howarth, and Ehrenreich. Application of the theoretical results to high‐purity epitaxially grown GaAs layers is in good agreement around 300°K, but there is a strong discrepancy at higher temperatures. It is suggested that such a discrepancy could be explained by further refinements of the present theory (temperature dependence of the dielectric constant, two‐phonon process).
Characteristics of Radio Echoes from Meteor Trails: III The Behaviour of the Electron Trails after Formation

This paper deals with the durations and amplitudes of the radio echoes reflected from meteor trails For wavelengths of 4 2 and 8.4 m the durations of most echoes are shown to be very nearly proportional to the square of the wavelength, as predicted by simple diffusion theory. It is suggested that long duration meteor echoes are due to total reflection from trails of very high electron density, and it is shown that the amplitudes of these echoes would only be of the same order as the amplitudes of the short duration echoes from trails of low electron density discussed in an earlier paper. Further evidence is given to show that the amplitude fluctuations in the radio echoes are caused by distortion of the column of ionization, relative motion of several reflecting centres due to wind turbulence producing changing interference conditions Turbulent winds of the order of 20 m/sec are inferred at altitudes of 80 to 100 km.
Rapidly Self-Assembling Three-Dimensional Opal Photonic Crystals

We demonstrate a useful technique to rapidly self-assemble silica particles to form opal photonic crystals. Silica suspensions were rst synthesized following the single-step St ober's method, with controllable particles diameters ranging from 200 to 800 nm. The suspensions were then injected into a cubic cell composed of two glass substrates and two controllable spacers. The self-assembly process was accelerated by heating the cell to an arbitrary temperature between 30 C and 90 C. The opal particles were self-assembled into ordered structures within several minutes. The periodic structures were characterized by checking the scanning electron microscopy images and measuring the re ection spectra. The structure was quite uniform for very large areas and the number of layers could be controlled by using the formation temperature. The measured re ection spectra were in agreement with the simulation results obtained by using the transfer matrix method. The re ection spectra were blue shifted as the incident angle deviated from the normal direction, which could be justi ed simply by using a combination of Bragg formula and Snell's Law.
Approaching the N = 82 shell closure with mass measurements of Ag and Cd isotopes

Mass measurements of neutron-rich Cd and Ag isotopes were performed with the Penning trap mass spectrometer ISOLTRAP. The masses of ${}^{112,114\ensuremath{-}124}$Ag and ${}^{114,120,122\ensuremath{-}124,126,128}$Cd, determined with relative uncertainties between $2\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}8}$ and $2\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}7}$, resulted in significant corrections and improvements of the mass surface. In particular, the mass of $^{124}\mathrm{Ag}$ was previously unknown. In addition, other masses that had to be inferred from $Q$ values of nuclear decays and reactions have now been measured directly. The analysis includes various mass differences, namely the two-neutron separation energies, the applicability of the Garvey-Kelson relations, double differences of masses $\ensuremath{\delta}{V}_{\mathit{pn}}$, which give empirical proton-neutron interaction strengths, as well as a comparison with recent microscopic calculations. The $\ensuremath{\delta}{V}_{\mathit{pn}}$ results reveal that for even-even nuclides around $^{132}\mathrm{Sn}$ the trends are similar to those in the $^{208}\mathrm{Pb}$ region.
On pseudometrics for generalized uniform structures

In [1] Alfsen and Njastad generalized the concept of a uniform structure 'A on a set S, replacing the intersection axiom for uniform structures by the weaker condition: (0) Given subsets Al, * * *, An of S and U1, * , Un in cA, there exists U in Al such that U(A ) C U(A ) for i = 1, , n. Our object is to characterize these structures in terms of pseudometrics. Define a (generalized) gage on S to be a nonvoid family 9 of pseudometrics on S XS such that (1) Every pseudometric uniformly continuous with respect to 9 belongs to 9. (2) If a and , belong to 9 and both a and [B are totally bounded, then aVof belongs to 9. Note that if we delete the total boundedness condition in (2), then 9 is j ust a gage for a proper uniform structure [2], [3]. For : a pseudometric on S X S, define Wg = 0-1 [0, 1).
Exploring the Role of GMMA Components in the Immunogenicity of a 4-Valent Vaccine against Shigella

Shigellosis is the leading cause of diarrheal disease, especially in children of low- and middle-income countries, and is often associated with anti-microbial resistance. Currently, there are no licensed vaccines widely available against Shigella, but several candidates based on the O-antigen (OAg) portion of lipopolysaccharides are in development. We have proposed Generalized Modules for Membrane Antigens (GMMA) as an innovative delivery system for OAg, and a quadrivalent vaccine candidate containing GMMA from S. sonnei and three prevalent S. flexneri serotypes (1b, 2a and 3a) is moving to a phase II clinical trial, with the aim to elicit broad protection against Shigella. GMMA are able to induce anti-OAg-specific functional IgG responses in animal models and healthy adults. We have previously demonstrated that antibodies against protein antigens are also generated upon immunization with S. sonnei GMMA. In this work, we show that a quadrivalent Shigella GMMA-based vaccine is able to promote a humoral response against OAg and proteins of all GMMA types contained in the investigational vaccine. Proteins contained in GMMA provide T cell help as GMMA elicit a stronger anti-OAg IgG response in wild type than in T cell-deficient mice. Additionally, we observed that only the trigger of Toll-like Receptor (TLR) 4 and not of TLR2 contributed to GMMA immunogenicity. In conclusion, when tested in mice, GMMA of a quadrivalent Shigella vaccine candidate combine both adjuvant and carrier activities which allow an increase in the low immunogenic properties of carbohydrate antigens.
Classification of Skin Cancer Using Novel Hyperspectral Imaging Engineering via YOLOv5

Many studies have recently used several deep learning methods for detecting skin cancer. However, hyperspectral imaging (HSI) is a noninvasive optics system that can obtain wavelength information on the location of skin cancer lesions and requires further investigation. Hyperspectral technology can capture hundreds of narrow bands of the electromagnetic spectrum both within and outside the visible wavelength range as well as bands that enhance the distinction of image features. The dataset from the ISIC library was used in this study to detect and classify skin cancer on the basis of basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and seborrheic keratosis (SK). The dataset was divided into training and test sets, and you only look once (YOLO) version 5 was applied to train the model. The model performance was judged according to the generated confusion matrix and five indicating parameters, including precision, recall, specificity, accuracy, and the F1-score of the trained model. Two models, namely, hyperspectral narrowband image (HSI-NBI) and RGB classification, were built and then compared in this study to understand the performance of HSI with the RGB model. Experimental results showed that the HSI model can learn the SCC feature better than the original RGB image because the feature is more prominent or the model is not captured in other categories. The recall rate of the RGB and HSI models were 0.722 to 0.794, respectively, thereby indicating an overall increase of 7.5% when using the HSI model.
A numerical scheme for the solution of viscous Cahn–Hilliard equation

In this paper, we present a numerical scheme for the solution of viscous Cahn–Hilliard equation. The scheme is based on Adomian's decomposition approach and the solutions are calculated in the form of a convergent series with easily computable components. Some numerical examples are presented. © 2007 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 2008
A Sustainable Approach towards the Restoration of Lead-Contaminated Soils through Nutrient-Doped Olive Waste-Derived Biochar Application

The current study was conducted to investigate the efficiency of olive mill waste-derived biochar and its silica-embedded and nutrient-loaded derivatives in immobilizing lead (Pb) and improving nutrients availability in contaminated sandy loam soils. Biochar was produced at 500 °C and latterly modified with silica and enriched with nutrients (P and N). An incubation experiment was conducted for a period of 45 days to observe the dynamics in heavy metals and nutrient release. The produced biochar and its modified versions were characterized for physiochemical and structural properties prior to soil application. The results of incubation trials demonstrated that pseudo second-order kinetic model was fitted best to Pb, P, NO3− and NH4+ release characteristics. Silica embedded and nutrient loaded biochars performed outclass and showed up to 85% decline in Pb release against control treatment. Similarly, 38%, 69% and 59% increase in P, NO3− and NH4+ availability, respectively, was observed with modified biochars, as compared to 22%, 59% and 32% increase with pristine biochar application, respectively. Overall, silica and nutrient doping of biochar resulted in significantly higher immobilization of Pb in contaminated soil and increased the nutrient availability, which could be helpful in restoring heavy metal contaminated soil and improving soil fertility.