Miracle-dz/UniFAR-FTUs huggingface dataset:
Porositas Lempeng Resin Akrilik Pasca Perendaman Rebusan Daun Sirih dan Kayu Siwak

Abstract: Porosity Of Acrylic Resin After Immersion In The Boiled Water Of Betel Leaves And Siwak Wood . Denture acrylic resin can be a collection point for stain, tar, and plaque and this will adversely affect the oral health of the denture wearer. One way to clean the oral cavity of denture users is to use mouthwash and soak the teeth with a cleaning solution/denture cleanser. Mouthwash solutions and chemical-based cleaning solutions at relatively high prices, and affect the porosity of dentures. Therefore, the need for alternative materials that are safe, cheap, natural as well as having antimicrobial function without affecting the level of porosity of denture. This study was to determine the effect of the combination of boiled water of betel leaves and siwak wood to the porosity of the acrylic resin plate. This study was an experimental study, posttest only design with the control group has been done at the integrated laboratory of Poltekkes Tanjungkarang, July – December 2015. Data were analyzed by One Way ANOVA and continued with Least Significant Difference test. The results showed that the combination of betel leaves and siwak wood does not affect the porosity of the acrylic resin plate. The highest concentration of the combination of betel leaf water and siwak wood that did not differ significantly with negative control (aquades) was 75% with longest immersion period was 59 days. Abstrak: Porositas Lempeng Resin Akrilik Pasca Perendaman Rebusan Daun Sirih Dan Kayu Siwak . Gigi tiruan resin akrilik dapat menjadi tempat pengumpulan stain, tar, dan plak dan hal ini akan berpengaruh jelek terhadap kesehatan mulut pemakai gigi tiruan. Salah satu cara menjaga kebersihan rongga mulut pengguna gigi tiruan adalah dengan menggunakan obat kumur dan merendam gigi-tiruan tersebut dengan larutan pembersih/ denture cleanser . Larutan obat kumur dan larutan pembersih berbahan dasar dari bahan kimia dengan harga yang relatif mahal, serta mempengaruhi porositas gigi tiruan. Oleh karena itu, perlu adanya bahan alternatif yang aman, murah, alami sekaligus memiliki fungsi antimikroba dengan tanpa mempengaruhi tingkat porositas gigi tiruan. Tujuan penelitian ini adalah untuk mengetahui pengaruh kombinasi air rebusan daun sirih dan kayu siwak terhadap porositas lempeng resin akrilik. Penelitian ini adalah penelitian eksperimental , rancangan post test only with control group design , dilaksanakan di Laboratorium Terpadu Poltekkes Tanjungkarang, Juli-Desember 2015. Analisis data dengan uji One Way ANOVA dan dilanjutkan uji Least Significant Difference . Hasil penelitian menunjukkan bahwa kombinasi air rebusan daun sirih dan kayu siwak tidak mempengaruhi porositas lempeng resin akrilik. Konsentrasi tertinggi dari kombinasi air rebusan daun sirih dan kayu siwak yang tidak berbeda signifikan dengan kontrol negatif (aquades) adalah 75% dengan lama perendaman terpanjang yaitu 59 hari.
Low specific on-resistance GaN-based vertical heterostructure field effect transistors with nonuniform doping superjunctions*

A novel GaN-based vertical heterostructure field effect transistor (HFET) with nonuniform doping superjunctions (non-SJ HFET) is proposed and studied by Silvaco-ATLAS, for minimizing the specific on-resistance (R on A) at no expense of breakdown voltage (BV). The feature of non-SJ HFET lies in the nonuniform doping concentration from top to bottom in the n- and p-pillars, which is different from that of the conventional GaN-based vertical HFET with uniform doping superjunctions (un-SJ HFET). A physically intrinsic mechanism for the nonuniform doping superjunction (non-SJ) to further reduce R on A at no expense of BV is investigated and revealed in detail. The design, related to the structure parameters of non-SJ, is optimized to minimize the R on A on the basis of the same BV as that of un-SJ HFET. Optimized simulation results show that the reduction in R on A depends on the doping concentrations and thickness values of the light and heavy doping parts in non-SJ. The maximum reduction of more than 51% in R on A could be achieved with a BV of 1890 V. These results could demonstrate the superiority of non-SJ HFET in minimizing R on A and provide a useful reference for further developing the GaN-based vertical HFETs.
The Cambrian Atlas – Ossa-Morena – Northarmorican Rift, West Gondwana: along- and off-axis, stratigraphic and volcano-tectonic patterns

The Cambrian Atlas – Ossa-Morena – Northarmorican Rift extended along West Gondwana from the end of the Pan-African and Cadomian orogenies until the diachronous beginning of drift conditions related to the opening of the Rheic Ocean. The along-axis rift crosscut the western parts of the Anti-Atlas, High Atlas and Coastal Meseta, which were linked to the Ossa-Morena Zone and the North-Armorican Domain, whereas several joint tectonic branches connected with off-axis rift transects of the Central Iberian, West Asturian-Leonese and Cantabrian Zones (Iberian Massif), Central and Southern Armorican Domains, Occitan Domain, Pyrenees and southern Sardinia. The pre-rift unconformity, post-dating the orogenic collapse, is characterized by initial (half-)graben development and subsequent infill with slope-related breccias and conglomerates controlled by the denudation of surrounding uplands. Syn-rift pulses show regional extension and are distinctly identifiable on the top of rift shoulders recording episodes of carbonate production due to their association with karst and hydrothermal processes. The break-up unconformity ranges from volcanic-free angular discordances and paraconformities to generalized uplift and denudation of subaerially exposed areas, associated with the onset of granite-dominant LIPs. The Furongian–Tremadocian (Toledanian) and Ordovician (Sardic) Phases have been interpreted as due to (i) Andean-type subduction magmatism reaching the crust in an arc-to-back-arc setting, (ii) post-collisional decompression melting without significant mantle involvement, and (iii) partial melting of the lower continental crust affected by the underplating of hot mafic magmas linked to superplumes.
Examining the wheat seed delivery system in Bihar, India, using a gender lens

Abstract An effective seed system gives all farmers access to quality seed, reliable information, and up-to-date knowledge of improved varieties and seed practices. Despite significant progress in developing improved wheat varieties, many of these improved varieties have not reached the farmers, especially women, poor, and marginalized farmers. Taking the case of a district in Bihar, India, this paper finds that the existing wheat seed delivery system largely ignores the potential of women farmers to play a significant role in seed production, distribution, or adoption; and that farmer feedback mechanisms are almost non-existent, especially among women. Using a small-scale, mixed, inductive, and broad-based research design, the paper suggests measures for gender-responsive seed delivery systems: improved access to information, especially to women and marginal farmers; promoting women-led groups (like JEEViKA) for their better engagement and empowerment; educating village retailers; developing mechanisms for better collaboration with bigger private seed companies; and increased collaboration among seed stakeholders.
On‐axis and off‐axis growth of zinc oxide nanostructures via pulsed laser deposition

The comparison of surface morphology of ZnO at two different regions on n‐type Si substrate surface (off‐axis and on‐axis pulsed laser deposition) is reported. Nanostructures were grown by ablating ZnO pellet with second harmonic Q‐switched Nd:YAG laser. The nanostructures were synthesized by two‐step processes where first ZnO seed layers were grown on Si‐substrate at 300 °C and 0.2 mbar O2 pressure followed by the growth of nanostructures at different O2 pressures keeping the substrate temperature fixed at 450 °C. The growth of these morphologies (particles and thin‐walled nanostructures) is attributed to difference in the kinetic energy of the plasma at different angles of emission from the target surface. Structural property was studied by XRD spectra and the optical properties of the nanostructures were investigated by photoluminescence and Micro‐Raman spectroscopy. Recorded photoluminescence spectra shows near band edge emission along with visible emissions related to the defect levels in ZnO. Micro‐Raman spectra confirm the crystalline nature of the nanostructures and the presence of defects related to oxygen vacancy and interstitial zinc of grown nanostructures.
Fixed points of (ψ,φ) - almost weakly contractive maps in fuzzy metric spaces

In this paper,we come out with the approach of ($\psi,\phi$) $-$ almost weakly contractive maps in the context of fuzzy metric spaces by extending the results given by G. V. R. Babu, Dasari Ratna babu, Kanuri Nageswara Rao, Bendi Venkata Siva Kumar [1] in the notion of G - Metric Spaces. We prove a theorem to show the existence of a fixed point and also provide an example in support to our result.
Effects of process parameters on the spreading morphology of disc surface and aluminium powder produced by centrifugal atomisation

ABSTRACT An apparatus was developed to study the effects of operating parameters on liquid spreading and particle size in centrifugal atomisation. Different areas of aluminium spreading on the surface of the rotary disc were observed, in which the diameter of the ‘Plane area’ showed a linear relationship with the rotational speed. The microscopic morphology of the aluminium powder samples was analysed by scanning electron microscopy (SEM). The variation of particle size distribution curve with rotational speed was explored, and the shape of the curve was changed from ‘Single-peak’ to ‘Double-peak’ when the rotating speed increased to a certain value. The effect of the fragmentation mode on the particle size distribution and median diameter was analysed. The variation of the median diameter of the powder with the rotating speed was obtained. The effect of different disc configurations on the particle size was obtained.
Anti-synchronization of fractional order chaotic and hyperchaotic systems with fully unknown parameters using modified adaptive control

Abstract The objective of this article is to implement and extend applications of adaptive control to anti-synchronize different fractional order chaotic and hyperchaotic dynamical systems. The sufficient conditions for achieving anti–synchronization are derived by using the Lyapunov stability theory and an analytic expression of the controller with its adaptive laws of parameters is shown. Theoretical analysis and numerical simulations are shown to verify the results.
Nonparametric Inference in Functional Linear Quantile Regression by RKHS Approach

This paper studies an asymptotics of functional linear quantile regression in which the dependent variable is scalar while the covariate is a function. We apply a roughness regularization approach of a reproducing kernel Hilbert space framework. In the above circumstance, narrow convergence with respect to uniform convergence fails to hold, because of the strength of its topology. A new approach we propose to the lack-ofuniform- convergence is based on Mosco-convergence that is weaker topology than uniform convergence. By applying narrow convergence with respect to Mosco topology, we develop an infinite-dimensional version of the convexity argument and provide a proof of an asymptotic normality of argmin processes. Our new technique also provides the asymptotic confidence intervals and the generalized likelihood ratio hypothesis testing in fully nonparametric circumstance.
L2‐gain analysis and anti‐windup design of switched linear systems subject to input saturation

The problem of L2‐gain analysis and anti‐windup compensation gains design is studied for a class of switched linear systems with actuator saturation via the multiple Lyapunov functions approach. When a set of anti‐windup compensation gains are given, a sufficient condition on tolerable disturbances is obtained, under which the state trajectory starting from the origin will remain inside a bounded set. Then over this set of tolerable disturbances, we obtain the upper bound of the restricted L2‐gain. Furthermore, the anti‐windup compensation gains and the switched law, which aim to determine the maximum disturbance tolerance capability and the minimum upper bound of the restricted L2‐gain, are presented by solving a convex optimization problem with linear matrix inequality (LMI) constraints. Finally we give a numerical example to demonstrate the effectiveness of the proposed method.
EVALUATING INTERVAL FORECASTS

A complete theory for evaluating interval forecasts has not been worked out to date. Most of the literature implicitly assumes homoskedastic errors even when this is clearly violated, and proceed by merely testing for correct unconditional coverage. Consequently, I set out to build a consistent framework for conditional interval forecast evaluation, which is crucial when higher-order moment dynamics are present. The new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management.
Quantized deep learning for low-cost IR sensors with layer-wise relevance propagation

In recent years, the market for infrared (IR) sensors has expanded from traditional defense and security applications to include consumer products. As a result, there is increasing demand for embedded IR systems that integrate low-cost sensors with embedded processors. Meanwhile, deep learning has made significant advances and achieved superhuman performance in some domains. To support deep learning in embedded systems, new processors have emerged that are specifically designed for running deep neural networks. In this paper, we propose a performance evaluation method for applying quantized deep learning to low-cost IR sensors using layer-wise relevance propagation. Our method provides visualized analysis of what the neural networks learn. We demonstrate the effectiveness of our approach through experiments on a low-cost IR sensor dataset, showing that our method achieves an explainable performance evaluation method for degraded cases arising from the tradeoff between speed and accuracy of quantized detectors which is a typical problem in embedded systems with limited computational resources.
A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies

There have been few researches on solving multimodal multiobjective optimization problems, whereas they are commonly seen in real-world applications but difficult for the existing evolutionary optimizers. In this paper, we propose a novel multimodal multiobjective evolutionary algorithm using two-archive and recombination strategies. In the proposed algorithm, the properties of decision variables and the relationships among them are analyzed at first to guide the evolutionary search. Then, a general framework using two archives, i.e., the convergence and the diversity archives, is adopted to cooperatively solve these problems. Moreover, the diversity archive simultaneously employs a clustering strategy to guarantee diversity in the objective space and a niche-based clearing strategy to promote the same in the decision space. At the end of evolution process, solutions in the convergence and the diversity archives are recombined to obtain a large number of multiple Pareto optimal solutions. In addition, a set of benchmark test functions and a performance metric are designed for multimodal multiobjective optimization. The proposed algorithm is empirically compared with two state-of-the-art evolutionary algorithms on these test functions. The comparative results demonstrate that the overall performance of the proposed algorithm is significantly superior to the competing algorithms.
Electrochromic properties of epitaxial WO3 thin films grown on sapphire substrates

Electrochromic properties are reported for monoclinic (001) WO3 epitaxial films grown on r-plane sapphire substrates. By applying a positive bias in 10 mM aqueous solution of sulfuric acid, an immediate increase in optical reflectance in a near-infrared region and a subsequent increase in optical absorbance in a visible to near-infrared region were generated by forming a hydrate and a tungsten bronze, respectively. The tungsten bronze disappeared after applying a negative bias in the solution, while the hydrate remained and required an annealing in air to disappear. These transitions were reversibly and repeatedly observed despite the restriction by the substrate.
A Finite Element Package For ElectromagneticsUsing Generalised Cartesian Elements

In the present paper the philosophy underlying the Des_ Cartes finite-element package for the direct computation of (electro)magnetic fields is discussed. This package is based on the use of a new type of element, the generalised Cartesian finite element, that automatically cares for the modelling of the conditions at interfaces between different media and along the outer boundaries. The formulation of the finite-element method used is chosen such that it simultaneously minimises the error in the curl and the error in the divergence.
Enhancing Performance of Wide Area CIoT SDN by US-ML Based Optimum Controller Placement

It is a critical area of study for enhancing the effectiveness of wide-area Cellular Internet of Things (CIoT) networks. One solution is to merge Software Defined Networking (SDN) with Internet of Things (IoT) network to boost efficiency. The main challenge is determining the best location for the SDN controller and evaluating SDN clustering. This paper proposed an Un-Supervised Machine-Learning (US-ML) approach based on silhouette distance along with gap statistic for finding the optimum number of controllers for network under consideration. In addition, the Partition Around Medoids (PAM) approach is opted for allocation of controller locations. Apart from SDN, another approach is to create efficient Low-Power Wide Area Networks (LPWAN). As a result, this research contributed to the study of various LPWAN design approaches and offered a method of optimal controller location for IoT-SDN cellular networks in industries. Several outstanding research challenges are noted, and prospective research objectives for LPWAN are offered. For the case study of wide area networks (WAN), a graphical representation of the SDN controller positioning method is presented. It is determined that effective placement can improve SDN performance in worst-case network scenarios.
Dynamics of a two-species stage-structured model incorporating state-dependent maturation delays

This paper is devoted to a cooperative model composed of two species withstage structure and state-dependent maturation delays. Firstly, positivity and boundedness of solutions are addressed to describe the population survival and the natural restriction of limited resources. It is shown that for a given pair of positive initial functions, the two mature populations are uniformly bounded away from zero and that the two mature populations are bounded above only if the the coupling strength is small enough. Moreover, if the coupling strength is large enough then the two mature populations tend to infinity as the time tends to infinity. In particular, the positivity of the two immature populations has been established under some additional conditions. Secondly, the existence and patterns of equilibria are investigated by means of degree theory and Lyapunov-Schmidt reduction. Thirdly, the local stability of the equilibria is also discussed through a formal linearization. Fourthly, the global behavior of solutions is discussed and the explicit bounds for the eventual behaviors of the two mature populations and two immature populations are obtained. Finally, global asymptotical stability is investigated by using the comparison principle of the state-dependent delay equations.
Miniaturized Broadband Dual-Polarized MIMO Antenna Array With Stable Radiation Pattern for Base-Station Application

A wideband dual-polarized MIMO antenna array having small size and stable radiation performance for base-station applications is introduced. The antenna element, which is formed by four folded dipole antennas arranged in a small square aperture, is introduced to obtain excellent impedance matching and steady radiation pattern within a broad bandwidth of 36.7% (0.69–1 GHz) with low profile. Based on the high-performance element, a compact broadband dual-polarized MIMO array for mobile communications is then designed. To stabilize the radiation pattern of the MIMO array, a new method of element-shared scheme and 90° phase compensation is introduced to design the MIMO array to obtain stable half power beamwidth (HPBW) of around 64° for desired 120° sector coverage of cellular mobile communications. A special feed network with good performance is designed to excite the MIMO array. The MIMO array introduces a broad bandwidth of 43.7% (0.68–1.06 GHz) for reflection coefficient $< -15$ dB, as well as good isolation of more than 25 dB between all the ports. Steady radiation pattern with an HPBW of 64 ± 7° and low sidelobe level of below −15 dB is observed, which is desirable for modern mobile communications.
Analysis of motivational climate and social interactions in physical education classes in secondary school

The motivational climate refers to the set of signals from the PE class environment, which can be implicating the ego or the task. The objective of this research is to know the motivational climate and its elements such as approach, avoidance, ego and task, prosocial behaviors and aggressive behaviors of high school students in PE classes. This study has been carried out with a cross-sectional and intentional methodology, in a sample of Compulsory Secondary Education students (N=84) in educational centers in Andalucia and the Canary Islands. The results concluded that the motivational climate generated by the PE teacher and that students may or may not perceive in their classes, has a definite tendency towards Approach Motivational Climate and Avoidance Motivational Climate, both with 40.5%. The results also confirm that the students present prosocial behaviors and do not present aggressive behaviours. El clima motivacional, se refiere al conjunto de conjunto de señales del entorno de la clase de EF, que pueden ser implicante al ego o a la tarea. El objetivo de esta investigación es conocer el clima motivacional y los elementos de éste como son, aproximación, evitación, ego y tarea, las conductas prosociales y conductas agresivas de los estudiantes de secundaria en las clases de EF. El presente estudio se ha llevado a cabo con una metodología de carácter transversal e intencional, en una muestra de estudiantes de Educación Secundaria Obligatoria (N = 84) en centros educativos de Andalucía y Canarias. Los resultados concluyeron, que el clima motivacional que genera el profesor de EF y que los estudiantes pueden percibir o no en sus clases, tiene una tendencia definida hacia Clima Motivacional Aproximación y Clima Motivacional Evitación, además, el alumnado presenta conductas prosociales y no presenta conductas agresivas.