Miracle-dz/UniFAR-FTUs huggingface dataset:
Combination of Polymer Gate Dielectric and Two-Dimensional Semiconductor for Emerging Field-Effect Transistors

Two-dimensional (2D) materials are considered attractive semiconducting layers for emerging field-effect transistors owing to their unique electronic and optoelectronic properties. Polymers have been utilized in combination with 2D semiconductors as gate dielectric layers in field-effect transistors (FETs). Despite their distinctive advantages, the applicability of polymer gate dielectric materials for 2D semiconductor FETs has rarely been discussed in a comprehensive manner. Therefore, this paper reviews recent progress relating to 2D semiconductor FETs based on a wide range of polymeric gate dielectric materials, including (1) solution-based polymer dielectrics, (2) vacuum-deposited polymer dielectrics, (3) ferroelectric polymers, and (4) ion gels. Exploiting appropriate materials and corresponding processes, polymer gate dielectrics have enhanced the performance of 2D semiconductor FETs and enabled the development of versatile device structures in energy-efficient ways. Furthermore, FET-based functional electronic devices, such as flash memory devices, photodetectors, ferroelectric memory devices, and flexible electronics, are highlighted in this review. This paper also outlines challenges and opportunities in order to help develop high-performance FETs based on 2D semiconductors and polymer gate dielectrics and realize their practical applications.
Fast-convergence filtered regressor algorithms for blind equalisation

The authors present a simple extension of the standard Bussgang blind equalisation algorithms that significantly improves their convergence properties. The technique uses the inverse channel estimate to filter the regressor signal. The modified algorithms provide quasi-Newton convergence in the vicinity of a local minimum of the chosen cost function with only a modest increase in the overall computational complexity of the system. An example of the technique as applied to the constant-modulus algorithm indicates its superior convergence behaviour.
Vector quantization with size-constrained codebooks

An algorithm for calculating lower bounds to the performance of all size-constrained vector quantizers has been derived earlier. Applications to the AR(1) source have shown that these lower bounds are very close to the actual rate-distortion curves, even for small sizes of the output alphabet. In this algorithm, however, the codebook changes with rate. In a number of applications it is desirable to operate with the same codebook. The authors modify the above algorithm to calculate lower bounds to the performance of all such multirate coders. An important conclusion is that constraining the codebook vectors does not degrade performance as compared to the size-only constrained case. The authors have proposed a practical alphabet and entropy constrained vector quantizer (AECVQ). This coder is obtained by modifying the ECVQ algorithm so that the codebook remains the same for all rates. <<ETX>>
A Figure is Worth a Thousand Words: The role of visualization in paradox theorizing

Visualization (i.e., the use of figures and images to represent findings and conceptual models) is central to theorizing. Yet, by focusing solely on the textual content of papers, analysis has inadvertently marginalized the graphic representations of key ideas. We review the paradox literature not just in terms of what authors have written but also how they have visualized models concisely. An analysis of figures in paradox articles captures the essential role that visuals play in our understanding of competing tensions, leveraging the power of imagery. We explore paradox visually, searching for the figurative materialization of paradox; more particularly, we seek visual signs that render abstract ideas more saliently and concretely. We contribute to paradox theory in three ways. First, we show how visuals constitute the lynchpin between convergent and divergent forces, allowing scholars to simultaneously reinforce and challenge current understanding. Second, we offer a tool for scholars to theorize competing demands based on three key antinomies, or dualities, that define the terrain of research in our field. Third, we reveal the performative effect of figures by identifying the ongoing dominance of certain classes of paradox visuals, which allows us to point to uncharted territories for paradox research.
Comparative Performance Analysis of Selected Commercial Banks in India: Camel Model

One of the key instruments suggested to assess the performance and financial stability of banks is CAMEL, which has five parameters: capital sufficiency, asset quality, management quality, earning quality, and liquidity. As banks are crucial to a nation's economic development and prosperity, it is crucial to evaluate their performance. As a result, the current study's goal is to use the CAMEL model to examine the performance of a few chosen commercial banks that operate in India from 2013–2014 to 2017–2018. This study uses a sample of 12 commercial banks, of which 7 were from the public sector and 5 from the private sector. According to analysis results, HDFC Bank is in first place, followed by Axis Bank and Kotak Bank, in that order. Among all the chosen banks, Bank of India holds the final spot. A statistically significant difference between the CAMEL ratios of the chosen public and private sector banks in India can also be inferred.
Dynamic output feedback control for wireless power transfer systems

This article investigates the control problem for the wireless power transfer (WPT) system, which has the characteristics of nonlinearity, high order, and associativity. Initially, a dynamic output feedback controller based on the WPT system is designed and analyzed. This controller can effectively enhance the stability of the system with stochastic disturbance. Besides, it does not need the knowledge of the system state in detail and has more adjustable parameters. Further, based on the Lyapunov theorem and stochastic stability theorem, a new stability result of the WPT with DOFC is obtained. In the stability results, all the variables in the system are still preserved after inequality expansion and contraction. Finally, the simulation results expound the effectiveness of the designed control scheme.
Noisy and Mixed Pixel Aware Hyperspectral Crop Classification

Hyperspectral imaging (HSI) is composed of both feature noise and label noise; thus, makes HSI crop classification extremely challenging. Recently, various feature noise tolerant machine learning and Deep learning mechanism have been presented for HSI crop classification considering; however, very limited have been presented considering presence of noise in training label. Existing model applied with presence of both label and feature noise in HSI exhibit very poor accuracies with higher misclassification. In addressing the research challenges in this paper noisy and mixed-pixel aware (NMA) HSI crop classification is proposed. The NMA-HSI provide a mechanism to obtain good quality spatial-spectral feature under presence of feature and label noise. The work introduces a modified SVM hyperplane to address class imbalance issues considering presence of noisy and mixed pixel within HSI. Experiment outcome shows the NMA-HSI achieves higher overall accuracies, average accuracies, and Kappa in comparison with existing HSI crop classification model using standard HSI datasets.
Polymer-Based Optical Waveguide Tactile Sensing Method for 3-D Surfaces

At present, most tactile sensors are fabricated based on the flat surface, which greatly limits their applications in the 3-D scenario. To deal with the bottleneck, this article proposes a polymer-based optical waveguide sensing method. The waveguide can be integrally formed along a channel within a 3-D surface. Microbending light loss of a waveguide is the sensing principle. By studying the linearity between the degree of microbending and light loss, the feasibility analysis of spherical tactile sensing element (tactile) was completed, as well as the basis for size selection of it. In addition, the key to layout on 3-D surface of the proposed sensing method is that the bending radius of the waveguide is within the critical angle of total internal reflection (TIR). By normalizing the ratio of the side length of the cross Section to the bending radius, it is shown that the light loss does not increase when the proportionality coefficient is less than 0.3. The experiment is validated by embedding four tactiles in a 3-D surface. The cross Section of the waveguide is $1.5\times1.5$ mm. We demonstrated that the static hysteresis error for a tactile is less than 16% within 595 kPa, the best sensing sensitivity is ${1}. {42} \times {{10}}^{-{5}} {}{\text {kPa}}^{-{1}}$ , and the maximum measurement range is from 0 to 850 kPa. As for the dynamic measurement, the tactile can rapidly response the signal change with given frequencies (the maximum is 10 Hz). The average delay time is around 12 ms.
Content-dependent watermarking approach based on wavelet tree structure and genetic algorithm

In this paper, an approach for image watermarking based on wavelet multi-resolution decomposition is proposed, which presents a new method of designing quantization pedometers based on wavelet tree structure and image content features. According to the new method, select quantization pedometers adaptively to embed the watermarking into the lowest frequency subband of a wavelet domain image. Meanwhile, the performance of the algorithm is enhanced by using genetic algorithm (GA) to seek relevant parameters and by using GA to ensure the optimal balance between the robustness and invisibility of watermarking. Experimental results show that this algorithm produces a satisfying image quality and delivers a stable performance in image processing.
Uniform Tally Density–Based Strategy for Efficient Global Tallying in Monte Carlo Criticality Calculation

Abstract Based on the inspiration of the uniform fission site (UFS) algorithm, we propose a strategy for biasing fission secondary neutrons using tally density obtained from past cycles in a Monte Carlo criticality calculation when the purpose is to seek high-performance global tallying. Using this strategy for global volume-averaged cell flux and energy deposition tallies when performing criticality calculations on a pin-by-pin model of the Dayawan nuclear power station nuclear reactor yields better performance. All the strategies (including the original UFS algorithm) are implemented in a parallel Monte Carlo particle transport code JMCT (J Monte Carlo Transport), which is recently developed software constructed on the framework of JCOGIN (J COmbinatorial Geometry Monte Carlo transport INfrastructure).
PARS: A Priority-Aware Resource Sharing Scheme for Services With Differential QoS Requirements in B5G Edge Network

Next-generation networks are expected to address scenarios demanding varying QoS, such as higher bandwidth, lower latency, and reliable data delivery. A multitude of B5G applications like AR/VR/XR and health-care needs differential QoS requirements and higher reliability of Internet services. In this context, we develop a novel approach, PARS, for resource provisioning among slices for facilitating efficient resource utilization in an edge network. Further, we propose an adaptive SFC-RA algorithm to maximize user admission under computation and bandwidth resource constraints while satisfying SLA requirements of health-care services. Moreover, we show efficacy of our solution by comparing it with existing state-of-the-art methods.
Intercalibration of solar wind instruments during the international magnetospheric study

Systematic discrepancies have been observed between ion density measurements taken by the electrostatic analyzers on ISEE 3 and the Faraday cup and electrostatic analyzer on board the IMP 8 spacecraft during the International Magnetospheric Study. We have quantified these discrepancies as a function of solar wind bulk velocity and ion temperature, and have developed correction algorithms that should bring all density measurements to a common base. The electron densities from ISEE 3 are used as the intercalibrating base, since these measurements of the solar wind density should not depend on the ion velocity or temperature.
ON MONOIDS OF ALMOST IDENTITY INJECTIVE PARTIAL SELFMAPS

In the paper we study the semigroup I 1 of almost identity injective partial selfmaps of the set of cardinality . We describe the Green relations on I 1 , all (two-sided) ideals and all congruences of the semigroup I 1 . We prove that every Hausdor hereditary Baire topology on I 1 such that (I 1 ; ) is a semitopological semigroup is discrete and describe the closure of the discrete semigroup I 1 in a topological semigroup. Also we show that the discrete semigroup I 1 does not embed into a compact topological semigroup and construct two non-discrete Hausdor topologies turning I 1 into a topological inverse semigroup.
An Adaptive Trajectory Planning for Autonomous Driving Using Trapezoidal Decomposition

Trajectory planning is the core module of autonomous driving system and its main challenges lie in the decisions in non-convex space and the trade-off between safety, comfort and efficiency performances. This paper presents a noval framework that combines trapezoidal cell decomposition and convex optimization to generate optimal trajectories for autonomous vehicles in structured environment. The approach decoupes a 3D trajectory planning problem with timestamps information into 2D path planning and speed planning problems. Each 2D problem can be solved by a three-phase procedure. First, the trapezoidal cell decomposition is used to extract trapezoidal driving corridors. Second, the graph is constructed by adaptive sampling instead of inflexible uniform sampling, and the coarse path(or speed) and corresponding corridors are obtained by grpah search method. In the last phase, the coarse path(or speed) is optimized by piecewise Bézier polynomials and optimazation technique. The noval framework, called CB Planner, is especially useful for extracting corridors and generating coarse trajectory in complex environment. Experimental results show that compared with some state-of-art planners, this planner can generate higher quality trajectories and is more suitable for complex environments.
Host spatiotemporal overlap in a park with high endemicity of Echinococcus multilocularis

Background There has been a spate of recent cases of human alveolar echinococcosis (AE) in Alberta, Canada. Alveolar echinococcosis is caused by Echinococcus multilocularis, which is prevalent among coyote populations and present in domestic dogs in Alberta. Methods and results Using qPCR, we estimated the seasonal fecal prevalence of E. multilocularis in coyotes and dogs in a multiuse recreation area close to Edmonton, Alberta, where we also setup remote cameras to model seasonal changes in the overlap in temporal activity and the spatial intensity of use among coyotes, humans, and dogs, as a proxy of potential transmission. We detected E. multilocularis in 18 of 137 wild canid feces and none in 44 dog feces. After correcting for the qPCR test’s sensitivity and specificity, we estimated at 15.7% (9.7-22.7%, 95% CrI) the true fecal prevalence for coyotes. Temporal overlap between coyotes and both humans and dogs increased in the fall and winter relative to the spring and summer. Coyote intensity of use showed seasonal variations and was higher on maintained trails and locations closer to visitor parking and at sites with high intensity of dog use. Conclusions Our results reinforce the need of an integrated approach, typical of both One-Health and Eco-Health, to park management for minimizing the likelihood of transmission where human and dog activity results in significant overlap with the one of the natural definitive hosts of zoonotic parasites.
A [4Fe-4S] cluster resides at the active center of phosphomevalonate dehydratase, a key enzyme in the archaeal modified mevalonate pathway

The recent discovery of the archaeal modified mevalonate pathway revealed that the fundamental units for isoprenoid biosynthesis (isopentenyl diphosphate and dimethylallyl diphosphate) are biosynthesized via a specific intermediate, trans-anhydromevalonate phosphate. In this biosynthetic pathway, which is unique to archaea, the formation of trans-anhydromevalonate phosphate from (R)-mevalonate 5-phosphate is catalyzed by a key enzyme, phosphomevalonate dehydratase. This archaea-specific enzyme belongs to the aconitase X family within the aconitase superfamily, along with bacterial homologs involved in hydroxyproline metabolism. Although an iron–sulfur cluster is thought to exist in phosphomevalonate dehydratase and is believed to be responsible for the catalytic mechanism of the enzyme, the structure and role of this cluster have not been well characterized. Here, we reconstructed the iron–sulfur cluster of phosphomevalonate dehydratase from the hyperthermophilic archaeon Aeropyrum pernix to perform biochemical characterization and kinetic analysis of the enzyme. Electron paramagnetic resonance, iron quantification, and mutagenic studies of the enzyme demonstrated that three conserved cysteine residues coordinate a [4Fe-4S] cluster—as is typical in aconitase superfamily hydratases/dehydratases, in contrast to bacterial aconitase X-family enzymes, which have been reported to harbor a [2Fe-2S] cluster.
Robust stabilization of underactuated inertia wheel pendulum system based on disturbance observer

An inertia wheel pendulum (IWP) is a mechanical system with two degrees of freedom (DOF) and a control input. This paper studies the robust stabilization of this underactuated system. Firstly, we design a disturbance observer to estimate the value of disturbance existed in the system. Secondly, the nonlinear state equations of the IWP are given by a coordinate transformation. After that, a Lyapunov function is designed for this nonlinear system. And a robust stabilizing controller is developed utilizing the Lyapunov theory, an idea of controller switching and the estimated disturbance value. Finally, the effectiveness of our presented method is verified through a numerical example.
Enriched Red Wine: Phenolic Profile, Sensory Evaluation and In Vitro Bioaccessibility of Phenolic Compounds

The beneficial health effect of red wine depends on its phenolic content and the phenolic content in red wines is affected by ecological, agricultural, and enological practices. Enriched wines have been proposed as an alternative to increase the phenolic content in wines. Nevertheless, phenolic compounds are related to the sensory characteristics of red wines, so enrichment of red wines requires a balance between phenolic content and sensory characteristics. In the present study, a Merlot red wine was enriched with a phenolic extract obtained from Cabernet Sauvignon grape pomace. Two levels of enrichment were evaluated: 4 and 8 g/L of total phenolic content (gallic acid equivalents, GAE). Wines were evaluated by a trained panel to determine their sensory profile (olfactive, visual, taste, and mouthfeel phases). The bioaccessibility of phenolic compounds from enriched red wines was evaluated using an in vitro digestive model and phenolic compounds were quantified by High Performance Liquid Chromatography coupled to tandem mass spectrometry (HPLC-MS/MS). Enrichment increased mainly flavonols and procyanidins. Such an increase impacted astringency and sweetness perceived by judges. This study proposes an alternative to increase the phenolic content in wines without modifying other main sensory characteristics and offers a potential beneficial effect on the health of consumers.
Enhancing Digestibility of Chlorella vulgaris Biomass in Monogastric Diets: Strategies and Insights

Simple Summary This study aimed to review the potential of the microalgae Chlorella vulgaris (CV) as an animal feed source especially for monogastric animal diets, due to their high content of essential nutrients. The findings of a systematic literature review showed that adding CV to poultry and swine diets had different results in terms of nutrient digestibility, although pre-treatments increased nutrient accessibility and digestibility. Cost-effectively produced CV biomass has the potential to be a supplement or substitute for expensive feed ingredients and improve animal health and immunity. Variations in results may be due to differences in microalgal strain, cultivation conditions and dietary inclusion levels. This study provides new insights into the use of CV biomass in animal diets. Abstract Microalgae, such as Chlorella vulgaris (CV), have been identified as promising animal feed sources due to their high content of essential nutrients, including proteins, total lipids, n-3 polyunsaturated fatty acids, and pigments. This study aimed to review the digestibility, bioaccessibility, and bioavailability of nutrients from CV biomass, and to analyse strategies to enhance their digestibility in monogastric animal diets. The study conducted a systematic review of the literature from databases such as PubMed, Scopus, Google Scholar, and Web of Science, up until the end of January 2023. The results of adding CV to poultry and swine diets were diverse and depended on a number of variables. However, pre-treatments applied to CV biomass improved nutrient digestibility and accessibility. CV biomass, produced in a cost-effective manner, has the potential to serve as a supplement or substitute for expensive feed ingredients and improve animal health, physiology, and immune status. Variations in results may be due to differences in microalgal strain, cultivation conditions, and dietary inclusion levels, among other factors. This study provides new insights and perspectives into the utilization of CV biomass in animal diets, highlighting its potential as a valuable ingredient to improve nutrient utilization.
Improved Dynamic Movement Primitive: A Method to Improve Trajectory Endpoint Convergence

Dynamic movement primitives (DMP) has a wide range of applications in robot trajectory planning, and the improved DMP make up for some of the limitations of the original DMP. However, in the trajectory generalization stage, the improved DMP sometimes fails to converge to the target point stably when faced with the problem that the target point changes. This paper compensates for this problem by finding the relationship between the spring coefficient of the transformation system and the scaling of the target point, effectively improving the convergence accuracy on the trajectory generalization of the target point change. Finally, the method is verified by simulation and experiments on 7-DOF cooperative manipulator.