Miracle-dz/UniFAR-FTUs huggingface dataset:
Stroboscopic Ultrafast Imaging Capabilities Using RF Strip-lines in a Commercial Transmission Electron Microscope

The development of ultrafast electron microscopy (UEM), specifically stroboscopic imaging, has brought the study of structural dynamics to a new level by overcoming the spatial limitations of ultrafast spectroscopy and the temporal restrictions of traditional TEM simultaneously. Combining the concepts governing both techniques has enabled direct visualization of dynamics with spatiotemporal resolutions in the picosecond-nanometer regime. Here, we push the limits of imaging using a pulsed electron beam via RF induced transverse deflection based on the newly developed 200 keV frequency-tunable strip-line pulser. We demonstrate 0.2 nm spatial resolution at high magnifications and elucidation of Lorentz imaging using the phase-microscopy method. We also present beam coherence measurements and expand our study using the breathing modes of a silicon interdigitated comb under RF excitation which achieves improved temporal synchronization between the electron pulse-train and electric field. A new RF holder has also been developed with impedance matching to the RF signal to minimize transmission power loss to samples and its performance is compared with a conventional sample holder.
Limited-path-length entanglement percolation in quantum complex networks

We study entanglement distribution in quantum complex networks where nodes are connected by bipartite entangled states. These networks are characterized by a complex structure, which dramatically affects how information is transmitted through them. For pure quantum state links, quantum networks exhibit a remarkable feature absent in classical networks: it is possible to effectively rewire the network by performing local operations on the nodes. We propose a family of such quantum operations that decrease the entanglement percolation threshold of the network and increase the size of the giant connected component. We provide analytic results for complex networks with arbitrary (uncorrelated) degree distribution. These results are in good agreement with numerical simulations, which also show enhancement in correlated and real world networks. The proposed quantum preprocessing strategies are not robust in the presence of noise. However, even when the links consist of (noisy) mixed state links, one can send quantum information through a connecting path with a fidelity that decreases with the path length. In this noisy scenario, complex networks offer a clear advantage over regular lattices, namely the fact that two arbitrary nodes can be connected through a relatively small number of steps, known as the small world effect. We calculate the probability that two arbitrary nodes in the network can successfully communicate with a fidelity above a given threshold. This amounts to working out the classical problem of percolation with limited path length. We find that this probability can be significant even for paths limited to few connections, and that the results for standard (unlimited) percolation are soon recovered if the path length exceeds by a finite amount the average path length, which in complex networks generally scales logarithmically with the size of the network.
Neutrino-impact ionization of atoms in searches for neutrino magnetic moment

The ionization of atomic electrons by scattering of neutrinos is revisited. This process is the one studied in the experimental searches for a neutrino magnetic moment using germanium detectors. Current experiments are sensitive to the ionization energy comparable with the atomic energies, and the effects of the electron binding should be taken into account. We find that the so-called stepping approximation to the neutrino-impact ionization is in fact exact in the semiclassical limit and also that the deviations from this approximation are very small already for the lowest bound Coulomb states. We also consider the effects of electron-electron correlations and argue that the resulting corrections to the ionization of independent electrons are quite small. In particular, we estimate that in germanium these are at a 1% level at the energy transfer down to a fraction of keV. Exact sum rules are also presented as well as analytical results for a few lowest hydrogenlike states.
Inverse diffraction for the Atmospheric Imaging Assembly in the Solar Dynamics Observatory

The Atmospheric Imaging Assembly in the Solar Dynamics Observatory provides full Sun images every 12 s in each of 7 extreme ultraviolet passbands. However, for a significant amount of these images, saturation affects their most intense core, preventing scientists from a full exploitation of their physical meaning. In this paper we describe a mathematical and automatic procedure for the recovery of information in the primary saturation region based on a correlation/inversion analysis of the diffraction pattern associated to the telescope observations. Further, we suggest an interpolation-based method for determining the image background that allows the recovery of information also in the region of secondary saturation (blooming).
The Firewall Paradox

In this MSc. thesis, we have attempted to give an overview of the firewall paradox and various approaches towards its resolution. After an introductory chapter on some basic concepts in quantum field theory in curved spacetimes such as Hawking radiation, we introduce the paradox. It arises out of application of principles each of which is thought or assumed to be correct: 1) unitary black hole evaporation, 2) validity of quantum field theory in curved spacetime, 3) a measure of the number of black hole quantum states, 4) Einstein's equivalence principle. Then, we present various approaches that exist in the literature towards the resolution of the paradox.
Multipole‐Free Fast Inhomogeneous Plane Wave Algorithm

Solving radiation and scattering problems in the vicinity of a half‐space or stratified medium with integral equation methods is complicated, and slowed by computation of expensive Sommerfeld integrals. In this paper, a new formulation of the spectral layered media Green's function is presented. It is demonstrated for a simple scattering problem in the new fast algorithm called the Multipole‐Free Fast Inhomogeneous Plane Wave Algorithm (MF‐FIPWA). MF‐FIPWA is shown to scale as (N log N) in memory usage and processing time. Additional advantages include rigorous treatment of reflected contributions, simplicity in design, and mathematical insight into the fast algorithm.
Indigenous nations at the confluence: water governance networks and system transformation in the Klamath Basin

Collaborative approaches to complex water quality problems can facilitate collective action across large watersheds with multiple, overlapping political jurisdictions, including Indigenous territories. Indigenous nations are increasingly engaging in collaborative water governance, in part, as a response to colonial legacies that have excluded Indigenous peoples from watershed management. This study uses social network analysis to explore emerging Klamath water governance networks. We seek to understand ongoing system transformation in contemporary water governance through tribal engagement in multi-jurisdictional water governance networks, from a system of Indigenous dispossession and exclusion (late 1800s-1980s) toward a yet unrealized system that centers Indigenous peoples. To envision the meaningful inclusion of Indigenous peoples in adaptive water governance, we first draw on criteria established by Indigenous water governance scholars. Then, we examine a snapshot of Indigenous participation in water quality governance in the Klamath Basin that focuses on the Karuk Tribe from 2018-2019. Specifically, Karuk tribal managers identified 21 different science-policy coalitions that they worked with on a range of water quality issues. We then used social network analysis methods to generate a network in which 210 different organizations were linked through co-membership in one or more coalitions. Our findings indicated that the Karuk and other Klamath Basin tribes play a central role in Klamath water quality governance and were not relegated to "stakeholder status. " Using a community detection algorithm, we found that tribes were key players in the central technical working group that emerged through network connections. Applying a log-linear statistical model, we also observed a high level of mixing in the network across all types of organizations, including tribes. Finally, through a multi-membership model, we found that tribes were more strongly connected to influential network actors than NGOs, despite environmental NGOs being more numerous. These analyses demonstrate how tribal engagement can activate key mechanisms for water quality governance transformation, e.g., shifting information flows and changing system structures to more effectively center Indigenous nations. In addition to insights from social network analysis, we also highlight the limitations of technical water management in supporting the deep connections held between Indigenous peoples and their waters that are central to Indigenous water governance.
Development of Artificial-Neural-Network-Based Permanent Deformation Prediction Model of Unbound Granular Materials Subjected to Moving Wheel Loading

The majority of existing regression models for unbound granular materials (UGMs) consider only the effects of the number of loading cycles and stress levels on the permanent deformation characteristics and are thus unable to account for the complexity of plastic deformation accumulation behavior influenced by other factors, such as dry density, moisture content and gradation. In this study, research efforts were made to develop artificial-neural-network (ANN)-based prediction models for the permanent deformation of UGMs. A series of laboratory repeated load triaxial tests were conducted on UGM specimens with varying gradations to simulate realistic stress paths exerted by moving wheel loads and study permanent deformation characteristics. On the basis of the laboratory testing database, the ANN prediction models were established. Parametric sensitivity analyses were then performed to evaluate and rank the relative importance of each factor on permanent deformation behavior. The results indicated that the developed ANN prediction model is more accurate and reliable as compared to previously published regression models. The two major factors influencing the magnitude of accumulated plastic deformation of UGMs are the shear stress ratio (SSR) and the number of loading cycles, of which the calculated influence coefficients are 38% and 41%, respectively, while the degree of influence of gradation is twice that of the confining pressure.
Attenuation of supersoft X-ray sources by circumstellar material

Recent studies have suggested the possibility of significantly obscuring super-soft X-ray sources in relatively modest amounts of local matter lost from the binaries themselves. If correct, then this would have explained the paucity of observed super-soft X-ray sources and would have significance for the search for single-degenerate type Ia supernova progenitors. We point out that earlier studies of circumbinary obscuration ignored photo-ionisations of the gas by the emission from the super-soft X-ray source. We revisit the problem using a full, self-consistent calculation of the ionisation state of the circumbinary material photo-ionised by the radiation of the central source. Our results show that the circumstellar mass-loss rates required for obcuration of super-soft X-ray sources is about an order of magnitude larger than those reported in earlier studies, for comparable model parameters. While this does not entrirely rule out the possibility of circumstellar material obscuring super-soft X-ray sources, it makes it unlikely that this effect alone can account for the majority of the missing super-soft X-ray sources. We discuss the observational appearance of hypothetical obscured nuclear burning white dwarfs and show that they have signatures making them distinct from photo-ionised nebulae around super-soft X-ray sources imbedded in the low density ISM.
Application of Vision Algorithms to the Problem of Recognizing the Level of Blood in an Aliquoting Tube Biosample

: This work is devoted to the analysis of the application of object detection algorithms for recognizing the level of blood in a test tube. Based on the initial data and data received from the sensory system, pattern recognition is performed and decisions are made to complete the task. It is necessary to control the level of the liquid being determined in the test tube to solve the technological problems of biomaterial aliquoting. In this case, it should be taken into account that the liquid has two fractions that differ in color: a blood clot and serum. The glare of the tube surface and lighting features should also be taken into account. These factors greatly complicate the operation of the vision system. Software in Python language have been developed that implement the ability of a vision system to recognize the level of blood in test tubes and visualize the recognized blood level in several ways: contour selection, dot marking, color ﬁltering. The developed methods are supposed to be applied for biosamples aliquoting using a delta robot in a multirobotic system, which will increase the productivity of ongoing biomedical research through the application of new technical solutions and principles of intelligent robotics. Visualized results of the work of the programs under consideration are presented and an assessment of the quality of recognition implementation is given.
A Robust Faster R-CNN Model with Feature Enhancement for Rust Detection of Transmission Line Fitting

Rust of transmission line fittings is a major hidden risk to transmission safety. Since the fittings located at high altitude are inconvenient to detect and maintain, machine vision techniques have been introduced to realize the intelligent rust detection with the help of unmanned aerial vehicles (UAV). Due to the small size of fittings and disturbance of complex environmental background, however, there are often cases of missing detection and false detection. To improve the detection reliability and robustness, this paper proposes a new robust Faster R-CNN model with feature enhancement mechanism for the rust detection of transmission line fitting. Different from current methods that improve feature representation in front end, this paper adopts an idea of back-end feature enhancement. First, the residual network ResNet-101 is introduced as the backbone network to extract rich discriminative information from the UAV images. Second, a new feature enhancement mechanism is added after the region of interest (ROI) pooling layer. Through calculating the similarity between each region proposal and the others, the feature weights of the region proposals containing target object can be enhanced via the overlaying of the object’s representation. The weight of the disturbance terms can then be relatively reduced. Empirical evaluation is conducted on some real-world UAV monitoring images. The comparative results demonstrate the effectiveness of the proposed model in terms of detection precision and recall rate, with the average precision of rust detection 97.07%, indicating that the proposed method can provide an reliable and robust solution for the rust detection.
Influence of curing agent ratio, asphalt content and crosslinking degree on the compatibility and component distribution of epoxy asphalt in compound curing agent system

ABSTRACT To study the effects of curing agent ratio, asphalt content, and crosslinking degree on the properties and distribution of epoxy asphalt with a compound system of dicarboxylic acid and acid anhydride, epoxy asphalt molecular models with two asphalt contents of 25% and 65% and three curing agent ratios of 10:1, 5:1 and 1:1 were constructed by Materials Studio. Various epoxy resin crosslinking degrees were further realised by Perl language crosslinking script. Glass transition temperatures were calculated to characterise low temperature flexibility. Energy systems and interaction energy were simulated to characterise the compatibility of epoxy asphalt. The radial distribution function (RDF) was calculated to observe the composition distribution of epoxy asphalt. The results show that the raise of the crosslinking degree and the proportion of anhydride curing agent increased the Tg of epoxy asphalt, impairing the low temperature performance. The increase in asphalt content was beneficial to the stability of the epoxy asphalt. Resin-based epoxy asphalt had stronger interaction between epoxy resin phase and asphalt phase, and the interaction energies both reached the maximum values at crosslinking degree of around 25%. Resin-based and asphalt-based epoxy asphalt had the most notable composition difference in the distribution of asphaltenes and acid anhydrides.
Nonlinear mechanics with suspended nanomembranes

We study the nonlinear dynamics induced in suspended nanomembranes by their clampings. The nonlocal character of the nonlinearity is demonstrated via intermode couplings. We also monitor the resonator phase-space trajectory and characterize its mechanical response in the presence of a strong pump excitation. We observe a shift in the oscillation frequency and phase conjugation of the mechanical mode. Such nonlinear effects are inherent to any submicron-scale mechanical resonator and are expected to play a role in their quantum dynamics as well.
Comparison of the Effect of Cold Plasma with Conventional Preservation Methods on Red Wine Quality Using Chemometrics Analysis

In this study, the effect of cold plasma (CP) on the physicochemical and biological properties of red wine was investigated in comparison with the effects of the conventional preservation method and the combined method. In addition, the effect of storage time after the application of each of the analyzed methods was evaluated. The study examined the effects of the different preservation methods on the pH, color, phenolic content, antioxidant activity and microbiological purity of the red wine. Chemometric analysis was used to discover the relationship between the preservation method used and wine quality. In the wine samples tested, a reduction in phenolic compounds and a decrease in antioxidant activity were noted after storage. This effect was mildest for preservation methods with the addition of potassium metabisulphite and those in which a mixture of helium and nitrogen was used as the working gas. On a positive note, the CP treatment did not affect the color of the wine in a way perceptible to the consumer: ∆E*—1.12 (He/N2; 5 min). In addition, the lowest growth of microorganisms was detected in the CP-treated samples. This indicates the potential of cold plasma as an alternative method to the use of potassium metabisulfite in wine production, which may contribute to its wider use in the alcohol industry in the future.
Automatic Vehicle Number Plate Recognition Approach Using Color Detection Technique

An Automatic Vehicle Number Plate Recognition System (AVNPR) is a key research area in image processing. Various techniques are developed and tested by researchers to improve the detection and recognition rate of AVNPR system but faced problems due to issues such as variation in format, lighting conditions, scales, and colors of number plates in different countries or states or even provinces of a country. Douglas Peucker Algorithm for shape approximation has been used in this research to detect the rectangular contours and the most prominent rectangular contour is extracted as a number plate (NP) and the connected component analysis is used to segment the characters followed by optical character recognition (OCR) to recognize the number plate characters. A custom dataset of 210 vehicle images with different colors at various distances and lighting conditions was used for the proposed method captured on my smart phone Galaxy J7 Model SM-j700F at roads and parking. The dataset contains various types of vehicles (i.e. Trucks, motorcars, mini-buses, tractors, pick-ups etc). The proposed method shows an average result of 95.5%. The novelty used in this method is that it works for different colors simultaneously because in Pakistan, several colors are used for vehicle NPs.
Development of ornamentation on ventifacts: An examination of flow and saltation kinematic mechanisms

Ventifacts are rocks that have been shaped through abrasion by wind‐transported sediment. Their surfaces may be ornamented with characteristic microscale features that are replicated and overlain to form complex patterns. Compared to a large body of work on the transport of unconsolidated sediment in which the atmospheric boundary‐layer flow and sand cloud respond to perturbations in the developing topography, no experimental work to this date has addressed morphodynamic feedback at the particle scale in aeolian systems dominated by abrasion. This article reports on a case study in which laser Doppler anemometry was used in wind tunnel experiments to measure air flow and sand transport over a highly ornamented, tabular ventifact from the Taylor Valley, Antarctica. Periodicity characterizing the static microtopography of the ventifact was observed to be strongly imprinted on the kinetics of both the airflow and particle cloud when sampled along a transect of the ventifact aligned with flow in the wind tunnel matching the dominant sand transporting wind direction for the ventifact in situ. The vertical velocity component was especially well synchronized, with changes in elevation on the order of 2–4 mm. The horizontal component of particle velocity demonstrated an offset in the downwind direction associated with the large forward momentum of the saltating sand particles. However, submillimeter relief on the fixed ventifact surface was not sufficient to initiate kinetic feedback, as observed along a transect aligned normal to a series of elongated flute structures and the dominant sand transporting wind direction. The particle‐scale experimental results confirm that (i) abrasion of this ventifact principally occurred under a unimodal wind and sand transport regime of low‐moderate intensity, and (ii) relief arising from weathering, as governed by the ventifact's lithology, likely initiated development of the present‐day ornamentation.