Miracle-dz/UniFAR-FTUs huggingface dataset:
Plane-wave theory of time-domain fields

You will find more or less anything out of our site academic resources with Plane Wave Theory Of Time Domain Fields including. Get Plane Wave Theory Of Time Domain Fields Download PDF e-books you might think of and read through to see websites offering ebooks downloads. This site is especially for students, programmers and tech geeks, we offer Plane Wave Theory Of Time Domain Fields and large number under computer research, programming, operating-system, etc. All possible models of eBook may be simply entirely on our site like Plane Wave Theory Of Time Domain Fields Download PDF for free download. Publications are available in a few models, and you can also take a look at ratings and opinions from other consumers, one of typically the most popular Plane Wave Theory Of Time Domain Fields. Search here for bestsellers, favorite classics, and more including new top-rated name Plane Wave Theory Of Time Domain Fields. Give books away. Get Plane Wave Theory Of Time Domain Fields Download PDF you want. All files have cover photographs what helps you save your self time and discover Plane Wave Theory Of Time Domain Fields without any issues. Exactly the same PDF variation of any file is obtainable from your personal computer or mobile phones which have an internet connection to obtain Plane Wave Theory Of Time Domain Fields for free. Quite a few publications are in people domain and the others can be found free of charge below Creative Commons licenses like Plane Wave Theory Of Time Domain Fields Download PDF. The Plane Wave Theory Of Time Domain Fields will be a well known guide, can be quickly within a library. It is your decided own develop old to artificial reviewing habit. in the midst of manuals, you might appreciate now could be Plane Wave Theory Of Time Domain Fields Download PDF below. Nevertheless below, with you visit that website, it will undoubtedly be correctly agreed easy to acquire in addition to obtain guide Plane Wave Theory Of Time Domain Fields Download PDF Comprehending as without problem as a guarantee even more than others can pay for every success. next to, the meaning as skillfully since the keenness of this Plane Wave Theory Of Time Domain Fields Download PDF may be studied as easily as selected to act. Comprehending as without difficulty as an agreement also significantly more than new will give each success. bordering to, the record, as well as perspicacity with this Plane Wave Theory Of Time Domain Fields, can be used as competently as picked to act. Thank you quite definitely for examining Plane Wave Theory Of Time Domain Fields. As you may know, people have search numerous occasions because of their plumped for books like this Plane Wave Theory Of Time Domain Fields, but result in contagious downloads.
An Open-Circuit Fault Diagnosis Algorithm Based on Signal Normalization Preprocessing for Motor Drive Inverter

In this article, an open-circuit (OC) fault diagnosis algorithm for power switch in the motor drive inverter system is proposed, which uses signal normalization preprocessing to deal with the current fluctuation caused by the load change. For the proposed fault diagnosis algorithm, first, the three-phase currents are sampled by the sliding window, which can improve the timeliness of diagnosis. Then, the sampled data are preprocessed by the variable modulus length normalization to eliminate the influence of the load change. Especially in the transient state, the information of the data feature is retained and the impact of load change is removed. Moreover, the frequency-domain feature of the data is extracted by the discrete Fourier transform (DFT). Finally, the dimension of the features is reduced by the principal component analysis (PCA) method and its contribution graph is used to locate the fault insulated gate bipolar transistor (IGBT). Moreover, the method can overcome the misjudgment of IGBT failure caused by transient currents when the load changes in the drive system. The simulation and experiment results show its effectiveness and timeliness in the OC fault diagnosis of the inverter.
Development of Split Ring Resonator Shaped Six Element 2 × 3 Multiple Input Multiple Output Antenna for the C/X/Ku/K Band Applications

In this manuscript, we have numerically investigated and experimentally verified the six-element split ring resonator and circular patch-shaped multiple input, multiple output antenna operating in the 1–25 GHz band. MIMO antennas are analyzed in terms of several physical parameters, such as reflectance, gain, directivity, VSWR, and electric field distribution. The parameters of the MIMO antenna, for instance, the envelope correlation coefficient (ECC), channel capacity loss (CCL), the total active reflection coefficient (TARC), directivity gain (DG), and mean effective gain (MEG), are also investigated for identification of a suitable range of these parameters for multichannel transmission capacity. Ultrawideband operation at 10.83 GHz is possible for the theoretically designed and practically executed antenna with the return loss and gain values of −19 dB and −28 dBi, respectively. Overall, the antenna offers minimum return loss values of −32.74 dB for the operating band of 1.92 to 9.81 GHz with a bandwidth of 6.89 GHz. The antennas are also investigated in terms of a continuous ground patch and a scattered rectangular patch. The proposed results are highly applicable for the ultrawideband operating MIMO antenna application in satellite communication with C/X/Ku/K bands.
Resuspension of Relic Volcanic Ash and Dust from Katmai: Still an Aviation Hazard

Abstract Northwest winds were strong enough to continuously resuspend relic volcanic ash from the Katmai volcano cluster and the Valley of Ten Thousand Smokes on 20–21 September 2003. The ash cloud reached over 1600 m and extended over 230 km into the Gulf of Alaska. Several factors influenced the resuspension of the ash: 1) the atmosphere and land surface were very dry prior to the event, further enabling the resuspension and subsequent atmospheric transport of the relic volcanic ash; 2) the production of winds strong enough to entrain and lift the ash over 1600 m into the atmosphere; 3) the complex terrain with numerous mountains interspersed with valleys, channels, and gaps; 4) the superadiabatic lapse rate for the troposphere below 850 mb; and 5) the presence of a strong subsidence inversion around 1400–1600 m. The authors propose that the strong winds are due to accelerations in a superadiabatic atmosphere below 850 mb that is buoyant to both upward and downward perturbations resulting in a hydraulic.
Perfect tunneling in semiconductor heterostructures

We study the phenomenon of perfect tunneling (tunneling with unitary transmittance) in a 1D semiconductor heterostructure using a formal analogy of the electromagnetic wave equation and the Schr¤ odinger equation. The Kane model of a semiconductor is used and it is shown that this phenomenon can indeed exist, resembling all the interesting features of the corresponding phenomenon in classical electromagnetism in which metamaterials are involved.
Phytoconstituent screening and in vitro hypoglycemic and antioxidant properties of terpenoid fraction of Kaempferia pulchra extracts in Indian traditional medicine

Introduction: The current healthcare system is insufficient to deal with the global impact of rising diabetes, necessitating the development of better alternatives, such as plant-derived natural compounds, to improve glucose tolerance. Therefore, the present study evaluated the phytoconstituents of the aqueous leaf and rhizome extracts of an unnoticed plant species, Kaempferia pulchra. In addition, the in vitro anti-hyperglycemic efficacy and antioxidant activities of the derived terpenoid fraction from the plant extracts were also assessed. Methods: The aqueous extracts of K. pulchra leaves and rhizomes were screened for phytoconstituents using gas chromatography-mass spectrometry. Colorimetric techniques were used to determine the terpenoid fraction’s total phenolic and flavonoid content. Terpenoids’ in vitro antioxidant properties were examined using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity (RSA) and ferric reducing power assay, proceeded by α-amylase and α-glucosidase inhibition tests, and anti-hyperglycemic potential was determined utilizing the terpenoid’s fraction. Results: The preliminary phytochemical analysis revealed that the terpenoids obtained from the leaf had the highest total phenol and flavonoid content. Both leaf and rhizome extracts had modest antioxidant capacities compared to ascorbic acid. Similarly, the rhizome extract had significantly higher α-amylase inhibitory activity than the standard acarbose (P < 0.05). Overall, the rhizome extract of K. pulchra outperformed the leaf extract in terms of antioxidant and antidiabetic potential. Conclusion: Kaempferia pulchra is a natural source of terpenoids with several therapeutic qualities, especially for managing diabetes. However, further research is needed to validate some of the claims ascribed to this plant.
On the use of text augmentation for stance and fake news detection

ABSTRACT Data Augmentation (DA) aims at synthesizing new training instances by applying transformations to available ones. DA has several well-known benefits such as: (i) increasing generalization ability; (ii) preventing data scarcity; and (iii) helping resolve class imbalance issues. In this work, we investigate the use of DA for stance and fake news detection. In the first part of our work, we explore the effect of various DA techniques on the performance of common classification algorithms. Our study reveals that the motto ‘the more, the better’ is the wrong approach regarding text augmentation and that there is no one-size-fits-all text augmentation technique. The second part of our work leverages the results of our study to propose a novel augmentation-based, ensemble learning approach. The proposed approach leverages text augmentation to enhance base learners' diversity and accuracy, ergo the predictive performance of the ensemble. The third part of our work experimentally investigates the use of DA to cope with the class imbalance problem. Class imbalance is very common in stance and fake news detection and often results in biased models. In this work we show how and to what extent text augmentation can help resolving moderate and severe imbalance.
Short-Term L-Citrulline Supplementation Does Not Affect Inspiratory Muscle Oxygenation and Respiratory Performance in Older Adults

In sports nutrition, nitric oxide (NO•) precursors such as L-citrulline are widely used to enhance NO• bioavailability, which is considered an ergogenic aid. Our study aimed to examine the effect of short-term L-citrulline supplementation on respiratory muscles’ performance, fatigue, and oxygenation in older adults. Fourteen healthy older males took 6 g of L-citrulline or a placebo for seven days in a double-blind crossover design. Pulmonary function via spirometry (i.e., forced expired volume in 1 s (FEV1), forced vital capacity (FVC), and their ratio)), fractional exhaled nitric oxide (NO•), maximal inspiratory pressure (MIP), rate of perceived exertion, and sternocleidomastoid muscle oxygenation (i.e., oxyhemoglobin (Δ[O2Hb]) and de-oxyhemoglobin (Δ[HHb]), total hemoglobin concentration (Δ[tHb]), and tissue saturation index (TSI%)) were evaluated at baseline, after seven days of L-citrulline supplementation, and after incremental resistive breathing to task failure of the respiratory muscles. The exhaled NO• value was only significantly increased after the supplementation (26% p < 0.001) in the L-citrulline condition. Pulmonary function, MIP, rate of perceived exertion, and sternocleidomastoid muscle oxygenation were not affected by the L-citrulline supplementation. In the present study, although short-term L-citrulline supplementation increased exhaled NO•, no ergogenic aids were found on the examined parameters at rest and after resistive breathing to task failure in older adults.
Bio-inspired skeletal model and kinematics of humanoid spine and ribs

Development of humanoids with human like range of motion for spine and torso is of great research interest. Present article covers the construction of the humanoid spine and ribs by considering spine as a hyper redundant mechanism with ribs attached in the thoracic region. To demonstrate the joints and motion characteristics, a thorough discussion of the biomechanical aspects of the spine is provided. A three-segment hyper redundant mechanism is utilised to imitate the human mimetic spine. The study considers flexion-extension and lateral bending motions of the spine. In the proposed formulation, a piecewise constant curvature approximation could simulate spine motion during flexion-extension movement. A simplified configuration with each section of spine controlled by two cables for flexion-extension and two cables for lateral bending is adopted. Additionally, a three dimensional CAD model of proposed system is developed and simulated using ADAMS. The constant curvature model and ADAMS simulation results closely match the human range of motion.
Semi-Supervised Semantic Segmentation of Remote Sensing Images Based on Dual Cross-Entropy Consistency

Semantic segmentation is a growing topic in high-resolution remote sensing image processing. The information in remote sensing images is complex, and the effectiveness of most remote sensing image semantic segmentation methods depends on the number of labels; however, labeling images requires significant time and labor costs. To solve these problems, we propose a semi-supervised semantic segmentation method based on dual cross-entropy consistency and a teacher–student structure. First, we add a channel attention mechanism to the encoding network of the teacher model to reduce the predictive entropy of the pseudo label. Secondly, the two student networks share a common coding network to ensure consistent input information entropy, and a sharpening function is used to reduce the information entropy of unsupervised predictions for both student networks. Finally, we complete the alternate training of the models via two entropy-consistent tasks: (1) semi-supervising student prediction results via pseudo-labels generated from the teacher model, (2) cross-supervision between student models. Experimental results on publicly available datasets indicate that the suggested model can fully understand the hidden information in unlabeled images and reduce the information entropy in prediction, as well as reduce the number of required labeled images with guaranteed accuracy. This allows the new method to outperform the related semi-supervised semantic segmentation algorithm at half the proportion of labeled images.
H-α Imaging of an Old Neutral Shell in the ISM

Located between the stars is a very low-density material consisting of gas and dust, called the interstellar medium (ISM). New stars form from this material and when massive stars die, they explode sending enriched material outward to interact with the ISM, often producing a shell-like structure. Interactions between such shells and the ISM are essential steps in the cosmic recycling that produces the next generation of stars. Most well-studied shells are younger shells that are expanding into the surrounding ISM. This project studied an old shell, located at galactic coordinates (l,b) ~ (192°, +6°), that has stopped expanding. It was discovered in the neutral hydrogen SETHI dataset. High-resolution H-α images of the ionized gas were taken at the Kitt Peak National Observatory using the WIYN 0.9m telescope with the MOSAIC camera. The individual H-α images will be combined into a large mosaic image of the shell and compared to existing images of the shell in other wavelengths. By looking at data across the whole spectrum of light, the various interactions of the shell with the ISM can be explored. Data reduction, analysis, and results will be discussed below.
Deep SCMA receiver: A low‐complexity joint decoder and channel estimator for SCMA over time‐varying channels using RNNs

Sparse code multiple access (SCMA) is a promising non‐orthogonal multiple access scheme for cellular Internet of things (IoT) due to its ability to support massive connectivity, grant‐free transmission and scalability. Inspired by the recent developments of deep learning for physical layer communications, we present a design of an uplink SCMA receiver using deep learning. We propose the use of recurrent neural networks (RNNs) for joint channel estimation and multiuser data detection of uplink SCMA under time‐varying Rayleigh channel using a single deep learning structure. The use of RNNs enables the receiver to learn the time correlation between the received samples with a very low pilot density and with low complexity. Compared with the conventional SCMA receiver, the simulation results show that the proposed deep learning‐based receiver can achieve BER performance similar to that of the conventional SCMA receivers (such as sparse pilot channel estimator and message‐passing algorithm detector) with very low pilot density and with much lower complexity. Moreover, the proposed SCMA receiver shows good resilience to small changes in the receiver speed (second‐order channel statistics) which enables the proposed deep learning receiver to work over a reasonable range of receiver speeds without parameter tuning. Fine tuning the network parameters to capture the variations of the channel, during online transmission using small data sets and small training period, is also checked and provides additional BER benefits.
Molecular characterization and phylogeny of Wolbachia pipientis in mosquitoes

Wolbachia is an intracellular, maternally inherited bacteria that infect a wide variety of arthropods, including several mosquito such as Aedes albopictus, Armigerus, Culex, and Manzonia. However, until now there have been no reports of the existence of endosymbionts from several genera of mosquitoes from Indonesia. Therefore, we screen Wolbachia on several mosquito genera. The aim of the study was to determine the spreading of Wolbachia endosymbiont in mosquitoes from Indonesia. Mosquitoes were taken from various breeding and resting places, the captured mosquitoes were identified, the PCR product was carried out by gel electrophoresis. Visualization of amplicon bands under ultraviolet light. The result showed that the mosquitoes (Manzonia, Aedes albopictus, and Armigerus) tested were positive for the Wolbachia endosymbiont. Analysis phylogeny shows, that Wolbachia in three genus mosquitoes consists of two clades where the first clade consists of Wolbachia from Aedes albopictus and Manzonia, and the second clade consists of Wolbachia from Armigerus and other Wolbachia from some insects as outgroups. Subsequently, the phylogenetic trees based on the wsp revealed that Wolbachia from Aedes samples 1, 2, and Manzonia include monophyletic while Wolbachia from Armigerus is paraphyletic. Wolbachia from Armigerus close to Wolbachia from Tetranychus urticae.
X-ray thomson scattering measurements of warm dense matter.

Warm dense matter exists at the boundary between traditional condensed matter and plasma physics and poses significant challenges to theoretical understanding. It is also critical for applications, including z-pinch and inertial fusion laboratory experiments and in astrophysical objects such as white dwarfs and giant planet interiors. The modern generation of high energy density facilities has made it possible to create warm dense conditions in the laboratory. Creating warm dense matter is challenging, but thorough understanding also requires accurate detailed diagnostics. This report describes research aimed at combining x-ray Thomson scattering, a powerful diagnostic for warm dense matter, with extreme environments created at the Z facility. Significant advances in in-house Sandia capability have been achieved, including x-ray scattering theory, instrumentation, and experiment design, execution, and interpretation. This work has set the stage for novel x-ray scattering investigations of warm dense matter at the Z facility in the near future.
Understanding the Molecular Conformation and Viscoelasticity of Low Sol-Gel Transition Temperature Gelatin Methacryloyl Suspensions

For biomedical applications, gelatin is usually modified with methacryloyl groups to obtain gelatin methacryloyl (GelMA), which can be crosslinked by a radical reaction induced by low wavelength light to form mechanically stable hydrogels. The potential of GelMA hydrogels for tissue engineering has been well established, however, one of the main disadvantages of mammalian-origin gelatins is that their sol-gel transitions are close to room temperature, resulting in significant variations in viscosity that can be a problem for biofabrication applications. For these applications, cold-water fish-derived gelatins, such as salmon gelatin, are a good alternative due to their lower viscosity, viscoelastic and mechanical properties, as well as lower sol-gel transition temperatures, when compared with mammalian gelatins. However, information regarding GelMA (with special focus on salmon GelMA as a model for cold-water species) molecular conformation and the effect of pH prior to crosslinking, which is key for fabrication purposes since it will determine final hydrogel’s structure, remains scarce. The aim of this work is to characterize salmon gelatin (SGel) and salmon methacryloyl gelatin (SGelMA) molecular configuration at two different acidic pHs (3.6 and 4.8) and to compare them to commercial porcine gelatin (PGel) and methacryloyl porcine gelatin (PGelMA), usually used for biomedical applications. Specifically, we evaluated gelatin and GelMA samples’ molecular weight, isoelectric point (IEP), their molecular configuration by circular dichroism (CD), and determined their rheological and thermophysical properties. Results showed that functionalization affected gelatin molecular weight and IEP. Additionally, functionalization and pH affected gelatin molecular structure and rheological and thermal properties. Interestingly, the SGel and SGelMA molecular structure was more sensitive to pH changes, showing differences in gelation temperatures and triple helix formation than PGelMA. This work suggests that SGelMA presents high tunability as a biomaterial for biofabrication, highlighting the importance of a proper GelMA molecular configuration characterization prior to hydrogel fabrication.
Structural Equations with Latent Variables

Model Notation, Covariances, and Path Analysis. Causality and Causal Models. Structural Equation Models with Observed Variables. The Consequences of Measurement Error. Measurement Models: The Relation Between Latent and Observed Variables. Confirmatory Factor Analysis. The General Model, Part I: Latent Variable and Measurement Models Combined. The General Model, Part II: Extensions. Appendices. Distribution Theory. References. Index.
Gravity Effects of Curing Angle on Laminated Composite Structures: A Review on Novel Study

Composites manufactured by small and medium industries/entrepreneurs (SMI/E) are conventionally cured in the horizontal position. Hence, the confined space restricts optimum productivity. Besides, SMI/E is unable to allocate high budget for high-end technology such as autoclave and vacuum mechanical oven which limits the development of SMI/E as a result of high capital cost. Through a series of literature review, the review confirmed that there is no similar scientific study has been conducted. Consequently, the review is carried out to facilitate the investigation of the feasibility of a gravity cured glass fiber laminated thermosetting composites via vacuum bagging at angle position from horizontal (0°) to vertical (90°) to enhance the curing space required.