Miracle-dz/UniFAR-FTUs huggingface dataset:
Compact Circularly Polarized Composite Cavity-Backed Crossed Dipole for GPS Applications

In this paper, we present a circularly polarized (CP) composite cavity-backed crossed dipole antenna for global positioning system (GPS) applications. We produce the CP radiation by crossing two dipoles through a 90° phase delay line of a vacant-quarter printed ring, which also has a broadband impedance matching characteristic. Two techniques, insertion of meander lines in the dipole arm and arrowhead-shaped trace at its end, are employed to reduce the sizes of the primary radiation element. The compact radiator is backed by a cavity reflector to achieve a wide CP radiation beamwidth. The proposed antenna exhibits a measured bandwidth of 1.450～1.656 GHz for a voltage standing wave ratio (VSWR) < 2 and 1.555～1.605 GHz for AR < 3-dB. At 1.575 GHz, the antenna has a gain of 7 dBic, a frontto-back ratio of 27 dB, AR of 1.18 dB, and 3-dB AR beamwidths of 130° and 132° in the x-z and y-z planes, respectively.
Variability of measured modal frequencies of a cable-stayed bridge under different wind conditions

A good understanding of normal modal variability of civil structures due to varying environmental conditions such as temperature and wind is important for reliable performance of vibration-based damage detection methods. This paper addresses the quantification of wind-induced modal variability of a cable-stayed bridge making use of one-year monitoring data. In order to discriminate the wind-induced modal variability from the temperature-induced modal variability, the one-year monitoring data are divided into two sets: the first set includes the data obtained under weak wind conditions (hourly-average wind speed less than 2 m/s) during all four seasons, and the second set includes the data obtained under both weak and strong (typhoon) wind conditions during the summer only. The measured modal frequencies and temperatures of the bridge obtained from the first set of data are used to formulate temperature-frequency correlation models by means of artificial neural network technique. Before the second set of data is utilized to quantify the wind-induced modal variability, the effect of temperature on the measured modal frequencies is first eliminated by normalizing these modal frequencies to a reference temperature with the use of the temperature-frequency correlation models. Then the wind-induced modal variability is quantitatively evaluated by correlating the normalized modal frequencies for each mode with the wind speed measurement data. It is revealed that in contrast to the dependence of modal frequencies on temperature, there is no explicit correlation between the modal frequencies and wind intensity. For most of the measured modes, the modal frequencies exhibit a slightly increasing trend with the increase of wind speed in statistical sense. The relative variation of the modal frequencies arising from wind effect (with the maximum hourly-average wind speed up to 17.6 m/s) is estimated to range from 1.61% to 7.87% for the measured 8 modes of the bridge, being notably less than the modal variability caused by temperature effect.
Transposons Hidden in Arabidopsis thaliana Genome Assembly Gaps and Mobilization of Non-Autonomous LTR Retrotransposons Unravelled by Nanotei Pipeline

Long-read data is a great tool to discover new active transposable elements (TEs). However, no ready-to-use tools were available to gather this information from low coverage ONT datasets. Here, we developed a novel pipeline, nanotei, that allows detection of TE-contained structural variants, including individual TE transpositions. We exploited this pipeline to identify TE insertion in the Arabidopsis thaliana genome. Using nanotei, we identified tens of TE copies, including ones for the well-characterized ONSEN retrotransposon family that were hidden in genome assembly gaps. The results demonstrate that some TEs are inaccessible for analysis with the current A. thaliana (TAIR10.1) genome assembly. We further explored the mobilome of the ddm1 mutant with elevated TE activity. Nanotei captured all TEs previously known to be active in ddm1 and also identified transposition of non-autonomous TEs. Of them, one non-autonomous TE derived from (AT5TE33540) belongs to TR-GAG retrotransposons with a single open reading frame (ORF) encoding the GAG protein. These results provide the first direct evidence that TR-GAGs and other non-autonomous LTR retrotransposons can transpose in the plant genome, albeit in the absence of most of the encoded proteins. In summary, nanotei is a useful tool to detect active TEs and their insertions in plant genomes using low-coverage data from Nanopore genome sequencing.
A Method for Determining Practical Flammability Risk When Using Refrigerant Blends

This paper proposes a method for establishing improved guidelines regarding the use of refrigerant blends that contain a flammable component. This approach was verified in a test chamber under realistic refrigerating equipment leak scenarios. First, the paper provides an overview of the safety classification described in ANSI/ASHRAE Standard 34-2007, Designation and Safety Classification of Refrigerants (ASHRAE 2007) and its international equivalent ISO Standard 817-2006, Refrigerants—Designation and Safety Classification (ISO 2006). The refrigerant blends examined were A1, as formulated, and A2, at the “worst-case fractionated formulation,” as defined by ASHRAE Standard 34-2007. The blend is prepared in a cylinder and is then slowly leaked inside a test chamber of 1 m3 (35.31 ft3). At the beginning of the leak, the gas phase occupies 10% of the cylinder volume, corresponding to one of the leak scenarios featured in ISO Standard 817-2006. The concentrations inside the test chamber are measured by gas chromatography. In addition, this paper provides the algorithm of calculation of a computer code named Room_leak, which simulates leaks of any refrigerant blends in realistic scenarios.
Association of Adiponutrin/Patatin Like Phospholipase 3 (PNPLA3) I148M Gene Variant with Chronic Hepatitis C in Egyptian Children

Background: Chronic hepatitis C (CHC) represents a leading cause of liver-related mortality worldwide. The patatin-like phospholipase domain-containing 3 gene (PNPLA3/adiponutrin) rs738409 (I148M) single-nucleotide polymorphism (SNP) has been reported to be linked with the severity and progression of liver fat content and liver fibrosis in CHC among different racial groups. Such reports are lacking in CHC Egyptian children. Aim of Study: To evaluate the possible association of PNPLA3-I148M gene variant with the severity of liver fat content and liver fibrosis in Egyptian children with CHC. Patients and Methods: Fifty normal-weighted children (mean age 10.62±2.59 years) with CHC were subjected to genotyping of PNPLA3-I148M gene variant using the real time PCR TaqMan assay. FibroScan examination for assessment of both liver fibrosis by Fibroscan liver stiffness (LMS) and liver steatosis by the controlled attenuation parameter (CAP) scores and histological examination of liver biopsies for assessment of liver steatosis, and METAVIER scoring for necroinflammatory activity grades and liver fibrosis stages were done for all patients as well as appropriate laboratory investigations. APRI and FIB-4 indices as well as insulin resistance using HOMA-IR were also calculated. Results: 34 cases (68%) had CC genotype (wild CC genotype) ,9 cases (18%) had CG genotype (heterozygous for the risk G allele) and 7 cases (14%) had GG genotype (homozygous for the risk G allele). Significant higher values of LSM and CAP steatosis scores were found in patients with CG and GG genotypes compared to those with CC genotype. CG gene variant and GG gene variant were significant positive predictive factors for histopathological liver steatosis and fibrosis stages and inflammatory activity grades among the studied patients. Significant higher values of many laboratory variables (AST, fasting blood glucose, fasting serum insulin, and HOMA-IR) but lower platelets count was found in patients with G allele (CG+ GG) compared to patients without G allele (CC). In addition, significant positive correlations between PNPLA3-I148M gene variant and indicators of hepatic steatosis and fibrosis and many laboratory parameters (AST, APRI, FIB4, FBS, fasting serum insulin, and HOMA-IR) but a significant negative correlation between PNPLA3-I148M gene variant and platelet cell count were found among the studied patients. Conclusion: Data of this study suggested that polymorphisms in the PNPLA3 I148M gene variant could contribute to the severity of hepatic steatosis and fibrosis of the studied Egyptian children with CHC.
Revealing the Mechanism of Astragali Radix against Cancer-Related Fatigue by Network Pharmacology and Molecular Docking

Background Cancer-related fatigue (CRF) is an increasingly appreciated complication in cancer patients, which severely impairs their quality of life for a long time. Astragali Radix (AR) is a safe and effective treatment to improve CRF, but the related mechanistic studies are still limited. Objective To systematically analyze the mechanism of AR against CRF by network pharmacology. Methods TCMSP was searched to obtain the active compounds and targets of AR. The active compound-target (AC-T) network was established and exhibited by related visualization software. The GeneCards database was searched to acquire CRF targets, and the intersection targets with AR targets were used to make the Venny diagram. The protein-protein interaction (PPI) network of intersection targets was established, and further, the therapeutic core targets were selected by topological parameters. The selected core targets were uploaded to Metascape for GO and KEGG analysis. Finally, AutoDock Vina and PyMOL were employed for molecular docking validation. Results 16 active compounds of AR were obtained, such as quercetin, kaempferol, 7-O-methylisomucronulatol, formononetin, and isorhamnetin. 57 core targets were screened, such as AKT1, TP53, VEGFA, IL-6, and CASP3. KEGG analysis manifested that the core targets acted on various pathways, including 137 pathways such as TNF, IL-17, and the AGE-RAGE signaling pathway. Molecular docking demonstrated that active compounds docked well with the core targets. Conclusion The mechanism of AR in treating CRF involves multiple targets and multiple pathways. The present study laid a theoretical foundation for the subsequent research and clinical application of AR and its extracts against CRF.
Experimental and finite element analysis to predict the dimensional changes of a cold-forged spur gear

Abstract The dimensional tolerance of spur gears for automobiles is within the range of several micrometres. Therefore, to manufacture these gears by cold forging, dimensions should be controlled in the same range. The dimensional changes by the various forging variables should be analysed and compensated into the forging tool. Computer-aided engineering (CAE) would be appropriate for investigating the effects of variables. However, the realistic finite element modelling (FEM) techniques should be confirmed and used to predict the dimension of the forged part in the order of micrometres. As realistic modelling considers the elastic characteristics of both workpiece and die at unloading and ejecting stage, threedimensional analysis for spur gears may often encounter difficulties in solving time and convergence. In this study, dimensional changes for cold-forged parts of spur gears were investigated by experimental and FEM analysis, after modelling to obtain desirable FEM results had been studied by closed-die upsetting. The dimensional changes of involute curve for the spur gear can be analysed from the FEM results during the whole forging stage; and give an index of a modified involute curve of the forging tool for improving gear profile accuracy.
Intensive Teaching: Examining Teachers’ Professional Pressures and Pedagogical Practices at an Elite School

This article asks the following questions: What pressures do teachers face from parents and senior administrators? How do the pressures teachers face from parents and senior administrators affect how they teach students? Specifically, how does this affect the methods they engage in to generate ‘good’ student outcomes? It answers these questions by analysing interviews with 24 high school teachers at an elite international school in Bangalore, a city in southwest India. This article argues that the pressures teachers face from senior administrators and parents to produce high-achieving students result in them engaging in intensive teaching practices. These practices represent teachers’ attempts to produce students capable of earning high grades and entrance into competitive colleges and universities. This article extends our understanding of the factors that shape teachers’ pedagogical practices by making explicit connections between affluent parenting practices and the professional roles of teachers at elite schools. As such, this article makes important contributions to the literature on the sociology of education and teaching.
81.5-85.9 GHz injection-locked frequency divider in 65 nm CMOS

An injection-locked frequency divider (ILFD) using the shunt-series inductive peaking technique is proposed. Fabricated in a 65 nm process, the proposed ILFD and a conventional one have the measured locking range of 81.5–85.9 and 71–77.4 GHz, respectively. Compared with the conventional ILFD, the measured free-running frequency of the proposed one is increased by 12.5%. Both ILFDs have core area of 0.036 mm2 and power of 12 mW for a 1.55 V supply without buffers.
Human cellular homeostasis buffers trans-acting translational effects of heterologous gene expression with very different codon usage bias

The frequency of synonymous codons in protein coding genes is non-random and varies both between species and between genes within species. Whether this codon usage bias (CUBias) reflects underlying neutral mutational processes or is instead shaped by selection remains an open debate, especially regarding the role of selection for enhanced protein production. Variation in CUBias of a gene (be it natural synonymous mutations or biotechnological synonymous recoding) can have an enormous impact on its expression by diverse cis-acting mechanisms. But expression of genes with extreme CUBias can also lead to strong phenotypic effects by altering the overall intracellular translation homeostasis via competition for ribosomal machinery or tRNA depletion. In this study, we expressed at high levels in human cells six different synonymous versions of a gene and used matched transcriptomic and proteomic data to evaluate the impact of CUBias of the heterologous gene on the translation of cellular transcripts. Our experimental design focused specifically on differences during translation elongation. Response to expression of the different synonymous sequences was assessed by various approaches, ranging from analyses performed on a per-gene basis to more integrated approaches of the cell as a whole. We observe that the transcriptome displayed substantial changes as a result of heterologous gene expression by triggering an intense antiviral and inflammatory response, but that changes in the proteomes were very modest. Most importantly we notice that changes in translation efficiency of cellular transcripts were not associated with the direction of the CUBias of the heterologous sequences, thereby providing only limited support for trans-acting effects of synonymous changes. We interpret that, in human cells in culture, changes in CUBias can lead to important cis-acting effects in gene expression, but that cellular homeostasis can buffer the phenotypic impact of overexpression of heterologous genes with extreme CUBias.
Mode Mixity for Circular Hollow Section X Joints With Weld Toe Cracks

This paper describes the mode mixity of stress-intensity factors for surface cracks at weld toes located at the saddle point in circular hollow section X joints. The remote loading applies a uniform tensile stress at the end of the brace along its axis. The three-dimensional finite element models employ mesh tieing between a topologically continuous, global mesh and a separate, local crack-front mesh. Analyses of a simple plate model that approximates key features of toe cracks at the brace-chord intersection verify the negligible effects of the recommended mesh-tieing scheme on stress intensity factors. The linear-elastic analyses compute the mixed-mode stress intensity factors along the crack front using an interaction-integral approach. The mixed-mode stress intensity factors indicate that the crack front experiences predominantly mode I loading, with KIII→0 near the deepest point on the front (ϕ=π∕2). The total crack driving force, described by the J integral, reaches a maximum value at the deepest point of the crack for the crack aspect ratio a∕c=0.25 considered here. The mode-mixity angle, ψ=tan−1(KII∕KI), at ϕ=π∕2 is compared for a range of practical X-joint configurations and crack-depth ratios. The present study demonstrates that the mode-mixity angle ψ increases with increasing brace-to-chord diameter ratio (β) and decreasing chord radius to wall thickness ratio (γ). Values of the nondimensional stress intensity factors (FI=KI∕σ¯brπa and FII=KII∕σ¯brπa), however, show an opposite trend, with higher crack driving forces for small β and large γ ratios. The variations in the brace-to-chord wall thickness ratio (τ) and the crack depth ratio (a∕t0) do not generate significant effects on the mode mixity.
Time Delay Estimation in Reverberant Environment Based on Acoustic Pyrometry

The acoustic thermometry has many advantages, compared with conventional methods of temperature measurements. For this technology, the sound field in normal temperature state of the boiler was simulated; acoustic source signal obtained the pseudo random sequence signal and time delay estimation selected the weighted cross-correlation method. Experiments show that when the boiler is not running, the sound field is enclosure sound field in the furnace. The weighted cross-correlation method can restrain the reverberation and obtain the accurate time delay estimation.
High Red Cell Distribution Width Independently Predicts Adverse Survival in Patients with Newly Diagnosed Skull Base Chordoma

Objective Accumulating studies report that levels of mean corpuscular volume (MCV) and red cell distribution width (RDW) are associated with outcomes in cancer patients, while studies including MCV and RDW in chordoma are lacking so far. Therefore, our study aims to investigate the prognostic impact of MCV and RDW on survival in skull base chordoma patients. Methods Levels of preoperative MCV and RDW in 187 primary skull base chordoma patients were collected. X-tile software was used to find the cutoff values of MCV and RDW. Progression-free survival (PFS) and overall survival (OS) analyses were performed using the Kaplan–Meier methods, Cox analysis, and nomogram model. Results Low MCV level (MCV <84.2) was more commonly observed in classical chordoma patients (p=0.022). High RDW level (RDW≥12.7) was correlated with older patient age (p=0.022) and a tough tumor texture (p=0.035). Low MCV level and high RDW level were associated with poor PFS (p=0.045 and 0.007, respectively) and OS (p=0.023 and <0.001, respectively). Multivariate Cox analysis demonstrated that RDW was an independent prognostic indicator for both PFS (p=0.001) and OS (p<0.001). Importantly, a nomogram based on RDW and clinical predictors showed satisfactory performance for PFS and OS prediction (concordance index, C-index: 0.684 and 0.744, respectively). Conclusion Our data was first to reveal the prognostic role of RDW in skull base chordoma, and identified the use of RDW may contribute to a more accurate prognosis judgment and personalized treatment decision.
Nose pore recognition based on discriminant locality preserving projections

In this paper, we present a new member of the biometrics family, i.e. nose pores, based on DLPP. Little work has been done on nose pores as a biometric identifier. In this work, we made use of a database of nose pore images obtained over a long period to examine the performance of nose pores as a biometric identifier. First, the midpoint and midline were located and taken as reference for the ROI segmentation after nose image was segmented. Second, nose pore feature was filtered by LOG filters. Third, the extracted pore was projected to low dimensional space by DLPP. Finally, the feature in low dimension was classified by Euclidean distance. This research showed that the nose pore is a promising candidate for biometric identification and deserves further research. The experimental results based on the unique nose pores database demonstrated that nose pores can give a 91.91% correct recognition rate for biometric identification, which showed this biometric identifier's feasibility and effectiveness. Compared with result without using DLPP, the feature extraction by DLPP was more precise.
On the interpolation of the frequency variations of the MoM‐PO impedance matrix over a wide bandwidth

A possibility of generating wide‐band data from MoM‐PO hybrid formulation by frequency interpolation of the impedance matrix is examined with particular attention given to a simple interpolation scheme originally proposed for the MoM impedance matrix, employing three uniformly spaced frequency nodes forming a sliding window over the desired band. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 738–741, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23190
Extracting physical tuning potentiometers from a complex control law: application to flexible aircraft flight control

In this paper the observed-based realization of a given complex controller is used to derive an architecture suitable for its implementation. That is, an architecture in which physical tuning parameters are highlighted and can be adjusted as useful potentiometers. This approach is based on the well-known Youla controller parameterization, but its specific feature is that the on-board model, on which the observer-based realization is built, does not correspond to the synthesis model. A particular application, for which such a controller architecture is very interesting, is the implementation and adjustment of flight control laws during flight tests. Actually, the on-board last tuning is based on physical considerations and required only a few potentiometers to improve flying qualities in situ. The results presented in this paper concern the lateral flight control law of a highly flexible aircraft which have been synthesized by a modern robust control approach.
Revised Artificial Immune Recognition System

Artificial Immune Recognition System is a widely used bio-inspired algorithm that describes the recognition tasks of antigen by memory cells. Despite the success of the Artificial Immune Recognition System, the basic version has some drawbacks which have a direct impact on system efficiency in terms of the quality of the results, data explosion, and calculation cost. This paper investigates these disadvantages and proposes several modifications in the original version to overcome these problems. First, the concept of weight and lifetime counter was introduced for each memory cell to improve quality; second, a new mechanism was added to eliminate inactive memory cell models to reduce data explosion, and third, the structure of the memory cells set was replaced by a binary search tree to reduce processing time. Furthermore, this paper improves some algorithm functionalities especially in the mutation function and the memory cell introduction mechanism. The experimental results conducted on eleven public datasets show that the proposed method outperforms the original version, all the revised versions, and achieved a good rank compared to the other state-of-the-art methods with an average accuracy of 93.20 % on all tested datasets.