Miracle-dz/UniFAR-FTUs huggingface dataset:
Pedot:PSS/Graphene Oxide (GO) Ternary Nanocomposites for Electrochemical Applications

Among conductive polymers, poly(3,4 ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) has been widely used as an electrode material for supercapacitors, solar cells, sensors, etc. Although PEDOT:PSS-based thin films have acceptable properties such as good capacitive and electrical behaviour and biocompatibility, there are still several challenges to be overcome in their use as an electrode material for supercapacitors. For this reason, the aim of this work is to fabricate and characterise ternary nanocomposites based on PEDOT:PSS and graphene oxide (GO), blended with green additives (glucose (G) or ascorbic acid (AA)), which have the benefits of being environmentally friendly, economical, and easy to use. The GO reduction process was first accurately investigated and demonstrated by UV-Vis and XRD measurements. Three-component inks have been developed, and their morphological, rheological, and surface tension properties were evaluated, showing their printability by means of Aerosol Jet® Printing (AJ®P), an innovative direct writing technique belonging to the Additive Manufacturing (AM) for printed electronics applications. Thin films of the ternary nanocomposites were produced by drop casting and spin coating techniques, and their capacitive behaviour and chemical structures were evaluated through Cyclic Voltammetry (CV) tests and FT-IR analyses. CV tests show an increment in the specific capacitance of AAGO-PEDOT up to 31.4 F/g and excellent overtime stability compared with pristine PEDOT:PSS, suggesting that this ink can be used to fabricate supercapacitors in printed (bio)-electronics. The inks were finally printed by AJ®P as thin films (10 layers, 8 × 8 mm) and chemically analysed by FT-IR, demonstrating that all components of the formulation were successfully aerosolised and deposited on the substrate.
Patient Selection and Outcomes of Laparoscopic Microwave Ablation of Hepatocellular Carcinoma

Simple Summary A prospective evaluation of laparoscopic microwave ablation (MWA) of hepatocellular carcinoma is underutilized and predictors of patient selection and survival in this setting are not well characterized. Preoperative single lesions, “pusher” radiographic presentation, and total bilirubin < 2, and AFP < 20 ng/mL independently predict PFS and OS following operative MWA. Abstract Background: Laparoscopic microwave ablation (MWA) of hepatocellular carcinoma is underutilized and predictors of survival in this setting are not well characterized. Methods: The prognostic value of clinicopathologic variables was evaluated on progression-free survival (PFS) and overall survival (OS) by univariate and multivariate analyses. The aim of this study was to evaluate a preferred laparoscopic MWA approach in HCC patients that are not candidates for percutaneous ablation and further classify clinicopathologic factors that may predict survival outcomes following operative MWA in the setting of primary HCC. Results: 184 patients with HCC (median age 66, (33–86), 70% male) underwent laparoscopic MWA (N = 162, 88% laparoscopic) compared to 12% undergoing open MWA (N = 22). Median PFS was 29.3 months (0.2–170) and OS was 44.2 months (2.8–170). Ablation success was confirmed in 100% of patients. Ablation recurrence occurred in 3% (6/184), and local/hepatic recurrence occurred in 34%, at a median time of 19 months (9–18). Distant progression was noted in 8%. Median follow up was 34.1 months (6.4–170). Procedure-related complications were recorded in six (9%) patients with one 90-day mortality. Further, >1 lesion, AFP levels ≥ 80 ng/mL, and an “invader” on pre-operative radiology were associated with increased risk of progression (>1 lesion HR 2.92, 95% CI 1.06 –7.99, p = 0.04, AFP ≥ 80 ng/mL HR 4.16, 95% CI 1.71–10.15, p = 0.002, Invader HR 3.16, 95% CI 1.91–9.15, p = 0.002 ) and mortality (>1 lesion HR 3.62, 95% CI 1.21–10.81, p = 0.02], AFP ≥ 80 ng/mL HR 2.87, 95% CI 1.12–7.35, p = 0.01, Invader HR 3.32, 95% CI 1.21–9.81, p = 0.02). Conclusions: Preoperative lesion number, AFP ≥ 80 ng/mL, and an aggressive imaging characteristic (Invader) independently predict PFS and OS following laparoscopic operative MWA.
Pure point spectrum for dynamical systems and mean, Besicovitch and Weyl almost periodicity

Abstract We consider metrizable ergodic topological dynamical systems over locally compact, $\sigma $ -compact abelian groups. We study pure point spectrum via suitable notions of almost periodicity for the points of the dynamical system. More specifically, we characterize pure point spectrum via mean almost periodicity of generic points. We then go on and show how Besicovitch almost periodic points determine both eigenfunctions and the measure in this case. After this, we characterize those systems arising from Weyl almost periodic points and use this to characterize weak and Bohr almost periodic systems. Finally, we consider applications to aperiodic order.
Data Reduction Techniques for a Low Pressure Turbine Noise Test

The scope of this paper is to analyze different data reduction techniques that conduce to an accurate prediction of the acoustic field for a Cold Flow Low Pressure Turbine Rig. This noise test has been part of the SILENCE(R) (Significantly lower community exposure to aircraft noise) EU program to analyze and quantify the novel concept of a Highly Loaded Low Pressure Turbine. Noise measurements are in-duct, and taken by means of a rotating device located downstream the Outlet Guide Vane and a set transducers at different axial positions that are optimized for accurate radial mode decomposition. Also, two different stationary transducers are located to allow the cross mode detection computation. For circumferential mode detection, the aim is not only identify the interaction sources that contribute to the tonal energy but also a quantitative split between Tyler & Sofrin modes, steady distortion and non-periodic or random component. A discussion between Least Squares Fit (LSF) and Discrete Fourier Transform (DFT) techniques is presented. Also, a spectral analysis based on the so-called Lomb Periodogram is performed prior to the circumferential mode detection to assess the quality of the numerical technique. Other discussions as auto vs cross mode detection or time width for data reduction are also included. For radial mode detection, the Singular Value Decomposition technique (SVD) has been chosen. General assumptions and some examples are also provided.
Secured Environmental Monitoring System

The Internet of Things (IoT) is a new standard that has transformed the traditional way of life into a high-tech lifestyle. Smart cities, smart homes, pollution control, energy saving, smart transportation, and smart industries are such transformations due to IoT. The IoT system tries to associate with almost all devices at any place. A broad variety of industries is deploying IoT solutions to make the next level of visibility and improved efficiencies. Attackers are forever on the lookout for brand new ways to compromise systems and gain access to information stores and systems. Mostly, gadgets are inclined to vulnerable attacks because of the straightforward and open nature of their networks. This paper gives an overview of the ongoing status and worries of Internet of things (IoT) security and we have focused on mitigating the brute-force attack and performed real-time cases to secure the readings of the sensors stored. This research presents an outline of safety security challenges, proposed countermeasures, and the future bearings for getting the IoT.
Configuration Bifurcations Analysis of Six Degree-of-Freedom Symmetrical Stewart Parallel Mechanisms

The configuration bifurcations of Stewart parallel manipulators at singular positions induce the uncertainty of the moving trends of the manipulative platform. The Jacobian matrix method can determine the singular position of Stewart manipulators, but it cannot determine the configuration variation trend in the vicinity of the singular position. In order to investigate the concrete motion behaviors of the Stewart parallel manipulator at singular positions, we construct the algorithm for determining all the configuration branches and bifurcation points. Through detailed investigations of configuration bifurcation characteristics, we have found that with a decrease of the extensible legs' length, the bifurcation points of configuration branches of the movable platform get together gradually and the bifurcation type changes from turning to dual-point bifurcation, and then, finally, it becomes multiple-point bifurcation.
Two-Loop Distributed Optimal Secondary Voltage Control of an Islanded Microgrid with Multiple Distributed Generators

Integration of large-scale distributed generators (DGs) (such as wind turbines, solar photo-voltaic, fuel cells, and so on) into the microgrid triggers voltage deviation which can give rise to desynchronization and distortion of power flow. To solve this problem, this article presents a distributed optimal secondary voltage control to synchronize the output voltage deviations of the DGs to zero. Instead of designing a distributed linear optimal control for the DGs linearized near an operating point as in the existing literature, a two-loop control structure comprising an inner-loop and outer loop is put in place. The inner-loop linearizes the nonlinear dynamics of each of the DGs. Then, the outer-loop which consists of the optimal distributed controller solves an optimization problem with the aim to minimize the voltage deviation of each DG by exchanging information with neighbouring DGs through a communication network. The proposed control technique will force the voltage deviations of the DGs to zero based on consensus. The efficacy of the proposed technique is confirmed by simulation studies.
Four-component surface consistent deconvolution

When performing four‐component surface‐consistent deconvolution, it is assumed that the decomposition of amplitude spectra into source, receiver, offset, and common‐depth‐point components enables accurate deconvolution filters to be derived. However, relatively little effort has been put into the verification of this assumption. Some verification of the assumption is available by analyzing the results of the surface‐consistent decomposition of real seismic data. The surface‐consistent log‐amplitude spectra of land seismic data are able to provide convincing evidence that the source component collects effects of the source signature and near‐source structural effects, and that the receiver component collects receiver characteristics and near‐receiver structural effects. In addition, the offset component collects effects due to ground roll and average reflectivity, and the CDP component collects mostly random noise unless it is constrained to be smooth. Based on the results of this analysis, deconvolution f.
Optical Waves in Layered Media

Chapter 1. The Electromagnetic Field. Chapter 2. Interaction of Electromagnetic Radiation with Matter. Chapter 3. Reflection and Refraction of Plane Waves. Chapter 4. Optics of A Single Homogeneous and Isotropic Layer. Chapter 5. Matrix Formulation for Isotropic Layered Media. Chapter 6. Optics of Periodic Layered Media. Chapter 7. Some Applications of Isotropic Layered Media. Chapter 8. Inhomogeneous Layers. Chapter 9. Optics of Anisotropic Layered Media. Chapter 10. Some Applications of Anisotropic Layered Media. Chapter 11. Guided Waves in Layered Media. Chapter 12. Optics of Semiconductor Quantum Wells and Superlattice Structures. Appendix: Zeros of Mode Dispersion RElation. Author Index. Subject Index.
Repairable Fault Tree Analysis Using Renewal Intensities

Abstract Fault tree (FT) is one of powerful tools for reliability analysis. The conventional FT usually considers only failure occurrence as an input event. However, considering repair in FT improves the analysis capability of FT. This FT is referred to as a repairable FT (RFT). This paper deals with RFTs, including dynamic FTs. In RFTs, it is necessary to consider both the occurrence of a basic event and its disappearance. This means that the analysis of the RFT needs not only the information about whether basic/intermediate events occur, but also the one about in which states the event outputs are. This forces us into considering the state transition of a system with time domain. Markov analysis is usually adopted for the state transition analysis. The difficulty of this method is mainly due to the explosion of the number of states to be considered in the analysis. We try to handle the state transitions in the RFT analysis as equivalent event occurrences by using the concept of renewal process, and introduce a new approach to obtain the steady state top event probability. That is, the state transition of a gate output is regarded as an alternating renewal process. The renewal intensities of the process are derived applying the limit theorem of a renewal process with the up-time-ratio analysis, the mean up time and the down time analyses. Starting from the gate located at the bottom of an FT, the top event probability is calculated by a bottom up procedure.
A New Automatic Compensation Network for System‐on‐Chip Transceivers

This paper proposes a new automatic compensation network (ACN) for a system‐on‐chip (SoC) transceiver. We built a 5 GHz low noise amplifier (LNA) with an on‐chip ACN using 0.18 µm SiGe technology. This network is extremely useful for today's radio frequency (RF) integrated circuit devices in a complete RF transceiver environment. The network comprises an RF design‐for‐testability (DFT) circuit, capacitor mirror banks, and a digital signal processor. The RF DFT circuit consists of a test amplifier and RF peak detectors. The RF DFT circuit helps the network to provide DC output voltages, which makes the compensation network automatic. The proposed technique utilizes output DC voltage measurements and these measured values are translated into the LNA specifications such as input impedance, gain, and noise figure using the developed mathematical equations. The ACN automatically adjusts the performance of the 5 GHz LNA with the processor in the SoC transceiver when the LNA goes out of the normal range of operation. The ACN compensates abnormal operation due to unusual thermal variation or unusual process variation. The ACN is simple, inexpensive and suitable for a complete RF transceiver environment.
Flashover: A Study of Parameter Effects on Time to Reach Flashover Conditions

Flashover is characterized by the rapid transition in fire behavior from localized burning of fuel to the involvement of all combustibles in the enclosure. The objective of the present contribution is to calculate the development of flashover in a typical single-room fire and show the effect of key parameters on the time required to reach flashover conditions. It is found that the major parameters affecting flashover are fire growth rate, ventilation opening area, wall and ceiling material, and room area. Parameters with little effect on the time to reach flashover are vent height above the floor, ceiling height, fire location, and fire radiation heat loss fraction.
Polarization-dependent characteristics and polarization gating in time-resolved optical imaging of skeletal muscle tissues

The comparisons of the time-resolved transmitted intensity profiles and imaging results based on the polarization gating method between the samples of diluted milk, chicken breast tissue, and chopped chicken breast tissue revealed that the anisotropic structure of chicken breast tissue resulted in coherent coupling between the two inherent polarization directions and difficulty of using the polarization gating method for optical imaging through skeletal muscle tissues. To explore the polarization-dependent optical properties of chicken breast tissues, we calibrated the extinction coefficients of the polarization components parallel with and perpendicular to tissue filaments and the cross-polarized intensity-coupling coefficients between the two polarization components, based on the measured snake-photon intensity data. The calibrated values of these coefficients were quite consistent with previously reported. The extinction coefficient in the polarization along tissue filaments was significantly higher than that of the other polarization. Also, the cross-polarized coupling coefficient of the coupling from the polarization of tissue filaments into the other was stronger than that of inverse coupling.
Identification of a Small Molecule Compound Active against Antibiotic-Tolerant Staphylococcus aureus by Boosting ATP Synthesis

Antibiotic tolerance poses a threat to current antimicrobial armamentarium. Bacteria at a tolerant state survive in the presence of antibiotic treatment and account for persistence, relapse and recalcitrance of infections. Antibiotic treatment failure may occur due to antibiotic tolerance. Persistent infections are difficult to treat and are often associated with poor prognosis, imposing an enormous burden on the healthcare system. Effective strategies targeting antibiotic-tolerant bacteria are therefore highly warranted. In this study, small molecule compound SA-558 was identified to be effective against Staphylococcus aureus that are tolerant to being killed by conventional antibiotics. SA-558 mediated electroneutral transport across the membrane and led to increased ATP and ROS generation, resulting in a reduction of the population of antibiotic-tolerant bacteria. In a murine chronic infection model, of which vancomycin treatment failed, we demonstrated that SA-558 alone and in combination with vancomycin caused significant reduction of MRSA abundance. Our results indicate that SA-558 monotherapy or combinatorial therapy with vancomycin is an option for managing persistent S. aureus bacteremia infection and corroborate that bacterial metabolism is an important target for counteracting antibiotic tolerance.
Periodic domain patterning by electron beam of proton exchanged waveguides in lithium niobate

Formation of domain structure by electron beam irradiation in congruent lithium niobate covered by surface dielectric layer with planar and channel waveguides produced by Soft Proton Exchange (SPE) process has been studied. Formation of domains with arbitrary shapes as a result of discrete switching has been revealed. The fact was attributed to ineffective screening of depolarization field in the crystals with a surface layer modified by SPE process. The dependences of the domain sizes on the dose and the distance between irradiated areas have been revealed. Finally, we have demonstrated that electron beam irradiation of lithium niobate crystals with surface resist layer can produce high quality periodical domain patterns after channel waveguide fabrication. Second harmonic generation with normalized nonlinear conversion efficiency up to 48%/(W cm2) has been achieved in such waveguides.
Multi-agent Reinforcement Learning with Knowledge Constraints and Its Application in Scene Confrontation

Multi-agent reinforcement learning (MARL) can be used in complex scene confrontation involving multiple intelligent operable units. Each intelligent operable unit can be regarded as an agent. However, as the complexity of the scene, there are a large number of decision points with different characteristics. It is difficult to solve this problem by a single MARL algorithm. As a result, a multi-agent reinforcement learning method with knowledge constraints is proposed. The prior information is used as constraints of the MARL model according to the properties of different agents in this paper. The performance of this method is proved in a scene confrontation platform called “Jueshengqianli” (JSQL), which is developed for naval warfare.
Flet-Edge: A Full Life-cycle Evaluation Tool for deep learning framework on the Edge

Deep learning frameworks, such as TensorFlow, PyTorch, MXNet, and Paddle Paddle are widely used and studied by industry. At the same time, AIoT (Artificial Intelligence and Internet of Things) and edge computing have provided more deep learning scenarios on the edge. In order to develop and deploy AIoT applications, we need to evaluate deep learning frameworks from ease-of-use and performance. To describe the full life-cycle performance of deep learning frameworks on the edge, this paper proposed a metric set, PDR, includes three comprehensive submetrics: Programming complexity, Deployment complexity, and Runtime performance. Based on the PDR, this paper designed and implemented a full life-cycle evaluation tool, Flet-Edge, which can automatically collect and present the PDR’s metrics, visually. Finally, to verify the availability of the Flet-Edge, this paper built a heterogeneous edge device cluster and carried out three case studies. With only one configuration file as input, the FletEdge will collect the twelve metrics of training or inference tasks and output them in text or chart. By observing the hierarchical roofline diagram provided by the Flet-Edge, this paper shows that the Flet-edge has the ability to optimize software and hardware of deep learning.
Growth of Hybrid Perovskite Crystals from CH3NH3PbI3–xClx Solutions Subjected to Constant Solvent Evaporation Rates

In this work, we subjected hybrid lead-mixed halide perovskite (CH3NH3PbI3–xClx) precursor inks to different solvent evaporation rates in order to facilitate the nucleation and growth of perovskite crystals. By controlling the temperature of perovskite solutions placed within open-air rings in precise volumes, we established control over the rate of solvent evaporation and, thus, over both the growth rate and the shape of perovskite crystals. Direct utilization of diluted lead-mixed halide perovskites solutions allowed us to control the nucleation and to favor the growth of only a low number of perovskite crystals. Such crystals exhibited a clear sixfold symmetry. While crystals formed at a lower range of temperatures (40–60 °C) exhibited a more compact dendritic shape, the crystals grown at a higher temperature range (80–110 °C) displayed a fractal dendritic morphology.
The Role of Semantic Associations as a Metacognitive Cue in Creative Idea Generation

Is my idea creative? This question directs investing in companies and choosing a research agenda. Following previous research, we focus on the originality of ideas and consider their association with self-assessments of idea generators regarding their own originality. We operationalize the originality score as the frequency (%) of each idea within a sample of participants and originality judgment as the self-assessment of this frequency. Initial evidence suggests that originality scores and originality judgments are produced by separate processes. As a result, originality judgments are prone to biases. So far, heuristic cues that lead to such biases are hardly known. We used methods from computational linguistics to examine the semantic distance as a potential heuristic cue underlying originality judgments. We examined the extent to which the semantic distance would contribute additional explanatory value in predicting originality scores and originality judgments, above and beyond cues known from previous research. In Experiment 1, we re-analyzed previous data that compared originality scores and originality judgments after adding the semantic distance of the generated ideas from the stimuli. We found that the semantic distance contributed to the gap between originality scores and originality judgments. In Experiment 2, we manipulated the examples given in task instructions to prime participants with two levels of idea originality and two levels of semantic distance. We replicated Experiment 1 in finding the semantic distance as a biasing factor for originality judgments. In addition, we found differences among the conditions in the extent of the bias. This study highlights the semantic distance as an unacknowledged metacognitive cue and demonstrates its biasing power for originality judgments.