Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive error concealment with novel content classification

In recent years, various spatial error concealment techniques have been proposed only by partially considering the four following factors: 1) image continuity, 2) edge preservation, 3) texture recovery and 4) concealment complexity. Therefore, either the results of edge and texture recovery are unsatisfactory or the computation loan is too heavy to be acceptable. Aiming to overcome the above problems, a strap-based (strap means a set of consecutive macroblocks in horizon) framework, instead of block-based framework, is introduced in this paper. Within this framework, the content of each corrupted strap is classified into four classes: smooth area, edge area, low detail area and high detail area. Then a suitable method is selected for each class. Briefly speaking, bilinear interpolation, directional interpolation, best neighborhood match and Markov Random Field (MRF) model-based maximum a posterior (MAP) estimation are employed to conceal the above classes. During content classification, the gradient information of those pixels near the corrupted strap is calculated and presented as gradient points on a unit circle. The centroid, scatter degree and average gradient magnitude of those gradient points are calculated and used to classify the corrupted content. The results of our experiments demonstrate the efficiency of the proposed method and the impressive improvements in both objective and subjective measures have been achieved.
Design of a Diagnostic Immunoassay for Aflatoxin M1 Based on a Plant-Produced Antibody

A new green competitive ELISA for aflatoxin M1 quantification in raw milk was developed. This diagnostic tool is based on an anti AFM1 mAb produced by plant molecular farming in alternative to classical systems. Our assay, showing an IC50 below 25 ng/L, fits with the requirements of EU legislation limits for AFM1 (50 ng/L). Optimal accuracy was achieved in correspondence of the decision levels (25 and 50 ng/L), and the assay enabled AFM1 quantification in the range 5–110 ng/L, with limit of detection 3 ng/L. Moreover, to evaluate a real applicability in diagnostics, raw milk-spiked samples were analysed, achieving satisfactory recovery rates of AFM1. In conclusion, an efficient and ready-to-use diagnostic assay for the quantification of aflatoxin M1 in milk, based on a plant-produced recombinant mAb, has been successfully developed.
Identification of Novel Hub Genes Associated with Psoriasis Using Integrated Bioinformatics Analysis

Psoriasis is a chronic, prolonged, and recurrent inflammatory skin disease and the current therapeutics can only alleviate the symptoms rather than cure it completely. Therefore, we aimed to identify the molecular signatures and specific biomarkers of psoriasis to provide novel clues for psoriasis and targeted therapy. In the present study, the Gene Expression Omnibus (GEO) database was used to retrieve three microarray datasets (GSE166388, GSE50790 and GSE42632) and to explore the differentially expressed genes (DEGs) in psoriasis using the Affy package in R software. The gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment were utilized to determine the common DEGs and their capabilities. The STRING database was used to develop DEG-encoded proteins and a protein–protein interaction network (PPI) and the Cytohubba plugin to classify hub genes. Using the NetworkAnalyst platform, we detected transcription factors (TFs), microRNAs and drug candidates interacting with hub genes. In addition, the expression levels of hub genes in HaCaT cells were detected by western blot. We screened the up- and downregulated DEGs from the transcriptome microarrays of corresponding psoriasis patients. Functional enrichment of DEGs in psoriasis was mainly associated with positive regulation of leukocyte cell–cell adhesion and T cell activation, cytokine binding, cytokine activity and the Wnt signaling pathway. Through further data processing, we obtained 57 intersecting genes in the three datasets and probed them in STRING to determine the interaction of their expressed proteins and we obtained the critical 10 hub genes in the Cytohubba plugin, including TOP2A, CDKN3, MCM10, PBK, HMMR, CEP55, ASPM, KIAA0101, ESC02, and IL-1β. Using these hub genes as targets, we obtained 35 TFs and 213 miRNAs that may regulate these genes and 33 potential therapeutic agents for psoriasis. Furthermore, the expression levels of TOP2A, MCM10, PBK, ASPM, KIAA0101 and IL-1β were observably increased in HaCaT cells. In conclusion, we identified potential biomarkers, risk factors and drugs for psoriasis.
Investigation of considerable stability increase of composite superconductors doped with extremely large heat capacity substances

The influence of doping NbTi-based composite superconductors with extremely large capacity substances (LHCSs) on their stability towards electromagnetic disturbances was investigated both experimentally and numerically. The samples comprised of standard NbTi 0.85 mm diameter wires soft-soldered with copper wires of the same diameter that contained one or several LHCS filaments. Some compounds (CeCu6, HoCu2, CeAl2, PrB6, Gd2O2S) with extremely large heat capacities at 4.2 K were introduced into the copper matrix by the powder-in-tube (PIT) method. The comparison sample (without LHCS doping) was made by soft-soldering of the 0.85 mm diameter NbTi wire with the copper wire without any LHCSs. The samples were placed in a transverse magnetic field and at several values of the transport current were subjected to longitudinal electromagnetic disturbances. The typical disturbance times varied in a broad range: from 50 µs to 1.2 ms. It was found that the critical current densities for the samples with LHCS doping were considerably higher than those for the comparison sample. It was also shown that the gain in stability remains even when the samples were directly liquid helium (LHe) cooled.
Meconium Aspiration Syndrome in Animal Models: Inflammatory Process, Apoptosis, and Surfactant Inactivation

Simple Summary Meconium aspiration syndrome is a pathology that causes hypoxia, acidosis, and neonatal mortality. The mechanisms behind this rely on physiopathology and the interaction of meconium with pulmonary alveolar cells. The inflammatory response, inactivation of surfactant, and processes such as apoptosis or necrosis of alveolar macrophages, epithelial and endothelial cells also participate in this syndrome. In this review, the physiopathology of meconium aspiration syndrome will be discussed in veterinary medicine to understand the inflammatory response and the cellular and biochemical changes at the alveolar level that cause the main outcomes of this pathology. Abstract Meconium Aspiration Syndrome is a condition that causes respiratory distress in newborns due to occlusion and airway inflammation, and surfactant inactivation by meconium. This condition has been described in animal species such as canids, sheep, cattle, horses, pigs, and marine mammals. In its pathogenesis, the pulmonary epithelium activates a limited inflammatory response initiated by cytokines causing leukocyte chemotaxis, inhibition of phagocytosis, and pathogen destruction. Likewise, cytokines release participates in the apoptosis processes of pneumocytes due to the interaction of angiotensin with cytokines and the caspase pathway. Due to these reactions, the prevalent signs are lung injury, hypoxia, acidosis, and pneumonia with susceptibility to infection. Given the importance of the pathophysiological mechanism of meconium aspiration syndrome, this review aims to discuss the relevance of the syndrome in veterinary medicine. The inflammatory processes caused by meconium aspiration in animal models will be analyzed, and the cellular apoptosis and biochemical processes of pulmonary surfactant inactivation will be discussed.
High Keratin Secretion of T47D Cell under Hypoxic Condition

BACKGROUND: Hypoxia adaptation in cancer cells is mediated by hypoxia inducible factor (HIF)-1 that induces the expression of various proteins. Up to date, the analysis of T47D breast cancer cells-secreted protein is still limited. The aim of this study was to compare the protein profile secreted by T47D breast cancer cells under hypoxic and to normoxic conditions and identify the proteins as candidate for hypoxia marker proteins in T47D breast cancer cells.METHODS: T47D breast cancer cells were cultured under standard conditions. Cells were subcultured in normoxic and hypoxic conditions. The normoxic group was incubated with 20% oxygen and the hypoxic groups were incubated in a hypoxic chamber with 0.5% and 5% oxygen for 6, 24, and 48 hours in serum free medium. Proteins in the culture media were isolated and precipitated. Protein concentrations released by the cells were then measured by bicinchoninic assay (BCA). Protein bands were visualized by the sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) method. The bands that had differences between the hypoxic and normoxic groups were further analyzed by liquid chromatography-mass spectrophotometer (LC-MS). RESULTS: Hypoxic groups showed higher secretory protein than normoxic group. Protein bands were found in the 0.5% hypoxic group with a size of 50-75 kDa. Secretory proteins identified by LC-MS were keratin 1, 2, 9, and 10.CONCLUSION: The T47D cell line under 0.5% hypoxic treatment showed higher secretory proteins that identified as keratin 1, 2, 9, and 10.KEYWORDS: hypoxia, secretory protein, liquid chromatography-mass spectrophotometer
On Probability Characteristics of "Downfalls" in a Standard Brownian Motion

For a Brownian motion $B=(B_t)_{t\le 1}$ with $B_0=0$, {\bf E}$B_t=0$, {\bf E}$B_t^2=t$ problems of probability distributions and their characteristics are considered for the variables $$ \begin{array}{c} {\mathbb D} =\displaystyle\sup_{0\le t\le t'\le 1}(B_t-B_{t'}),\qquad {\mathbb D}_1=B_\sigma-\inf_{\sigma\le t'\le 1}B_{t'}, \\ {\mathbb D}_2=\displaystyle\sup_{0\le t\le\sigma'}B_{t}-B_{\sigma'}, \end{array} $$ where $\sigma$ and $\sigma'$ are times (non-Markov) of the absolute maximum and absolute minimum of the Brownian motion on $[0,1]$ (i.e., $B_\sigma=\sup_{0\le t\le 1}B_t$, $B_{\sigma'}=\inf_{0\le t'\le 1}B_{t'}$).
Planar Gas Expansion under Intensive Nanosecond Laser Evaporation into Vacuum as Applied to Time-of-Flight Analysis

A computational investigation of the dynamics of gas expansion due to intense nanosecond laser evaporation into vacuum has been carried out. The problem is solved in a one-dimensional approximation, which simplifies calculations and at the same time allows one to analyze the main features of the expansion dynamics. For analysis we use three different approaches. Two of them are based on kinetic analysis via the direct simulation Monte Carlo (DSMC) method and numerical solution of the model Bhatnagar–Gross–Krook (BGK) equation. The third one focuses on derivation of an analytical continuum solution. Emphasis is placed on the analysis of the velocity distribution function and the average energy of particles passing through the time-of-flight detector on the normal to the evaporation surface, which is important for interpreting experimental measurements. The formulated problem is quite difficult as the considered flow is time-dependent, contains discontinuities in boundary conditions and involves large variations of local Knudsen numbers as well as steep gradients of the velocity distribution function. Data were obtained on the particle energy in the time-of-flight distribution for the range of regimes from the free molecular flow to continuum one. The maximum attainable average energy of particles in the time-of-flight distribution is determined. The non-monotonicity of the energy increase was found, which is explained based on analysis of the velocity distribution of particles.
Multi-Qubit Bose–Einstein Condensate Trap for Atomic Boson Sampling

We propose a multi-qubit Bose–Einstein-condensate (BEC) trap as a platform for studies of quantum statistical phenomena in many-body interacting systems. In particular, it could facilitate testing atomic boson sampling of the excited-state occupations and its quantum advantage over classical computing in a full, controllable and clear way. Contrary to a linear interferometer enabling Gaussian boson sampling of non-interacting non-equilibrium photons, the BEC trap platform pertains to an interacting equilibrium many-body system of atoms. We discuss a basic model and the main features of such a multi-qubit BEC trap.
Integration of acoustic compliance and noise mitigation in path planning for drones in human–robot collaborative environments

This work presents a framework aimed at mitigating adverse effects of high-amplitude drone noise ranging from hearing loss to reduced productivity in human–robot collaborative environments by infusing acoustic awareness in a path planning algorithm without imposing any additional design layers or hardware to an operational drone. Following a detailed outline of the proposed approach, it is shown that a significant reduction of noise levels perceived by human workers at noise-sensitive locations is realized via a path planner which generates optimal paths ranging from quietest to shortest paths. The approach is then augmented with a path-correction mechanism which accounts for noise exposure duration to ensure the aforementioned optimal paths are compliant with a given industrial/environmental standard. The correction mechanism enforces an adjustment of subsets of the planned paths inside quiet zones designated around noise-sensitive locations. The presented concepts were verified using numerical simulations conducted for a 2-dimensional rasterized obstacle field followed by a statistical design of experiments. The proposed framework is highly versatile and integrable with widely used industrial path planners, rendering it a highly valuable tool for noisy collaborative workplaces.
Ellipso-Height topometry, EHT: extended topometry of surfaces with locally changing materials

Summary The principle of the new Ellipso-Height Topometry and the basic relations for measurement and calibration are shown in detail. First topography sets are presented and discussed: topography of the height, of the ellipsometric angles Ψ and Δ, of the real and imaginary part of the complex refractive index, of the corrected heights, of the local thickness, and material maps. Results for two different samples are presented: a photolithographic object with microstructures of silicon and SiO2 and a rough surface of a cylinder bore of a automobile engine, demonstrating the use for industrial application.
WHAT WE CAN LEARN FROM STUDENTS' GRAMMATICAL ERRORS IN WRITING DESCRIPTIVE TEXTS

Abstrak: Penelitian ini untuk mengetahui jenis-jenis kesalahan tata bahasa yang dilakukan oleh siswa dalam menulis dari siswa kelas 8 dan untuk mengetahui kesalahan yang paling umum dilakukan oleh siswa. Populasi dalam penelitian ini adalah Siswa Sekolah Menengah Pertama (SMP). Penelitian ini menggunakan teknik cluster random sampling. Peneliti memilih 4 latar belakang teks deskriptif dari siswa sebagai sampel. Hasil penelitian ini menemukan lima jenis kesalahan tata bahasa yang dilakukan oleh mahasiswa yaitu Article, Verb Tense, Singular/Plural, Noun, dan Preposition. Kesalahan tata bahasa yang paling umum dilakukan oleh siswa dalam menulis teks deskriptif adalah kesalahan Verb Tense dengan 6 kesalahan (40%). Berikutnya adalah Singular/Plural dengan 4 kesalahan (2,6%), Noun dengan 3 kesalahan (20%), Artikel dengan 1 kesalahan tata bahasa (6,6%), Preposisi dengan 1 kesalahan (6,6%). Dengan analisis kesalahan, guru dapat memperbaiki kesalahan penting yang harus diperbaiki, sehingga siswa dapat meningkatkan keterampilan menulis dalam bahasa Inggris.Kata kunci: bahasa Inggris, analisis kesalahan, teks deskriptif, kesalahan tata bahasa Abstract: This research was to find out the types of grammatical errors made by the students in writing from students 8th Junior High School Students and to find out the most common error made by the students. The population of this research was Junior High School Students. This research used a cluster random sampling technique. The researchers chose 4 backgrounds of text the descriptive from students as the sample. The result of this research found five kinds of grammatical errors made by the students namely Article, Verb Tense, Singular/Plural, Noun, and Preposition. The most common grammatical error made by the students in writing the descriptive text is an error in Verb Tense with 6 errors (40%). The next is Singular/Plural with 4 errors (2.6%), Noun with 3 errors (20%), Article with 1 grammatical error (6.6%), Preposition with 1 error (6.6%). With error analysis, the teacher can correct important mistakes that must be corrected, so that students can improve their writing skills in English.Keywords: English language, error analysis, descriptive text, grammatical error
Programmable frequency reference for laser stabilization using persistent spectral hole burning

Summary form only given. The first known demonstration of laser frequency stabilization using a solid-state persistent spectral hole burning material as the frequency reference is reported. Unlike gas phase transitions or Fabry-Perot resonances, spectral holes for frequency references can be prepared at any frequency within a broad inhomogeneous absorption profile (15 GHz in the material demonstrated here). Several lasers may be stabilized to multiple spectral holes, either in the same or separate absorption bands, with arbitrary frequency separations.
Estimation of Core Losses in Three-Phase Dry-Type Transformers Using Adaptive-Network Based Fuzzy Inference Systems (ANFIS)

Abstract This study presents the core loss estimation of three-phase dry-type transformers using adaptive network-based fuzzy interface systems. Accurate estimation of losses is very important during the design stage. The ANSYS/Maxwell and ANFIS programs are used to estimate core losses based on time-dependent analysis of magnetic field distributions and FEA parametric analysis, respectively. For this, we used 804 result data obtained by finite element (FEA) parametric analysis for a given number of primary turns excitation voltage and load resistance For validation, 20 of the 804 data were randomly selected from the data used in the training and testing processes. The remaining 784 data were used for training. The error obtained by the validation test is 1.9978. As a result, it has been shown that the parameters given at the design stage can be accurately estimated with ANFIS, and parameter estimation can be made for any input and output value.
Hybrid Probabilistic and Non-Probabilistic Dynamic Analysis of Vehicle-Bridge Interaction System with Uncertainties

A hybrid probabilistic interval dynamic analysis of vehicle-bridge interaction system with a mixture of random and interval properties is studied based on finite element analysis framework. A half car model is used to represent a moving vehicle and the bridge is modeled as a simply supported Euler-Bernoulli beam. The vehicle’s parameters are considered as interval variables and the bridge’s parameters are treated as random variables. The mathematical model of vehicle-bridge interaction system is established based on the finite element model. By introducing the random interval perturbation method into the dynamic analysis of vehicle-bride interaction system, the expressions for the mean value and variance of the bridge dynamic response are developed. Examples are used to illustrate the effectiveness of the presented method. The accuracy and effectiveness of the numerical results are verified by a hybrid simulation method combining direct simulations for interval variables and Monte-Carlo simulations for random variables.
Deciphering the Binding of the Nuclear Localization Sequence of Myc Protein to the Nuclear Carrier Importin α3

The oncoprotein Myc is a transcription factor regulating global gene expression and modulating cell proliferation, apoptosis, and metabolism. Myc has a nuclear localization sequence (NLS) comprising residues Pro320 to Asp328, to allow for nuclear translocation. We designed a peptide comprising such region and the flanking residues (Ala310-Asn339), NLS-Myc, to study, in vitro and in silico, the ability to bind importin α3 (Impα3) and its truncated species (ΔImpα3) depleted of the importin binding domain (IBB), by using fluorescence, circular dichroism (CD), biolayer interferometry (BLI), nuclear magnetic resonance (NMR), and molecular simulations. NLS-Myc interacted with both importin species, with affinity constants of ~0.5 µM (for Impα3) and ~60 nM (for ΔImpα3), as measured by BLI. The molecular simulations predicted that the anchoring of NLS-Myc took place in the major binding site of Impα3 for the NLS of cargo proteins. Besides clarifying the conformational behavior of the isolated NLS of Myc in solution, our results identified some unique properties in the binding of this localization sequence to the nuclear carrier Impα3, such as a difference in the kinetics of its release mechanism depending on the presence or absence of the IBB domain.
Suboccipital Muscles, Forward Head Posture, and Cervicogenic Dizziness

Dizziness or vertigo can be caused by dysfunction of the vestibular or non-vestibular systems. The diagnosis, treatment, and mechanism of dizziness or vertigo caused by vestibular dysfunction have been described in detail. However, dizziness by the non-vestibular system, especially cervicogenic dizziness, is not well known. This paper explained the cervicogenic dizziness caused by abnormal sensory input with references to several studies. Among head and neck muscles, suboccipital muscles act as stabilizers and controllers of the head. Structural and functional changes of the suboccipital muscles can induce dizziness. Especially, myodural bridges and activation of trigger point stimulated by abnormal head posture may be associated with cervicogenic dizziness.
Silk-Elastin-like Polymers for Acute Intraparenchymal Treatment of the Traumatically Injured Spinal Cord: A First Systematic Experimental Approach

Despite the promising potential of hydrogel-based therapeutic approaches for spinal cord injury (SCI), the need for new biomaterials to design effective strategies for SCI treatment and the outstanding properties of silk-elastin-like polymers (SELP), the potential use of SELPs in SCI is currently unknown. In this context, we assessed the effects elicited by the in vivo acute intraparenchymal injection of an SELP named (EIS)2-RGD6 in a clinically relevant model of SCI. After optimization of the injection system, the distribution, structure, biodegradability, and cell infiltration capacity of (EIS)2-RGD6 were assessed. Finally, the effects exerted by the (EIS)2-RGD6 injection—in terms of motor function, myelin preservation, astroglial and microglia/macrophage reactivity, and fibrosis—were evaluated. We found that (EIS)2-RGD6 can be acutely injected in the lesioned spinal cord without inducing further damage, showing a widespread distribution covering all lesioned areas with a single injection and facilitating the formation of a slow-degrading porous scaffold at the lesion site that allows for the infiltration and/or proliferation of endogenous cells with no signs of collapse and without inducing further microglial and astroglial reactivity, as well as even reducing SCI-associated fibrosis. Altogether, these observations suggest that (EIS)2-RGD6—and, by extension, SELPs—could be promising polymers for the design of therapeutic strategies for SCI treatment.