Miracle-dz/UniFAR-FTUs huggingface dataset:
Indirect Adaptive Fuzzy Sliding Mode Control and Application to Tank Pressurization System

An indirect adaptive fuzzy sliding mode control scheme for a class of discrete-time systems with model uncertainty and external disturbance is developed. In this approach, a discrete-time exponential reaching law is used to obtain the ideal sliding mode control law. Then, two fuzzy systems and a third one are used to approximate unknown functions of the system and the switch-type control in the ideal control law, respectively, wherein the consequent parameters are adjusted by an on-line adaptation law with parameter projection. Towards to Tank pressurization system, experiment results have shown the effectiveness of the algorithm.
Analysis of Impulsive Boundary Value Pantograph Problems via Caputo Proportional Fractional Derivative under Mittag–Leffler Functions

This manuscript investigates an extended boundary value problem for a fractional pantograph differential equation with instantaneous impulses under the Caputo proportional fractional derivative with respect to another function. The solution of the proposed problem is obtained using Mittag–Leffler functions. The existence and uniqueness results of the proposed problem are established by combining the well-known fixed point theorems of Banach and Krasnoselskii with nonlinear functional techniques. In addition, numerical examples are presented to demonstrate our theoretical analysis.
Singularity-Free Continuous Adaptive Control of Uncertain Underactuated Surface Vessels With Prescribed Performance

This article is dealt with the problem of trajectory tracking with prescribed performance for a family of underactuated surface vessels (USVs) under model uncertainties and disturbances. The prescribed performance means that the USV tracks a given trajectory with the arbitrarily predefined speed of response and accuracy. The existing prescribed performance control (PPC) solutions and the traditional robust control approaches for USVs may have the singularity issue or cause a discontinuous control signal. Thereby, a new-type adaptive PPC strategy is put forward in this article. The adaptive technique is devoted to tackling model imperfections as usual, whereas the constraint-handling technique is adopted in a novel way. Herein, we first construct an auxiliary variable instead of using the approach angle or azimuth angle. Then, we impose constraints on the position error, not the tracking error, and the auxiliary variable, simultaneously. In this way, the predefined performance is achieved by moreover a singularity-free continuous control action. These theoretical findings are illustrated via a comparative simulation study.
ASBESTOS—A CASE STUDY OF THE U. S. NAVY'S RESPONSE TO UPGRADED SAFETY AND HEALTH REQUIREMENTS

Abstract : Exposure to asbestos is being decreased by prohibiting the use of asbestos containing materials where suitable substitutes have been designated and by revising applicable documentation. Asbestos exposure conditions will, however, be present in the Navy for the next 20 to 30 years due to the need for periodic rip-out of existing asbestos installations, for maintenance and repair purposes and for those asbestos installations for which substitutes are not yet available. The Navy's near-term objective will be to develop improved procedures during rip-out operations, to provide even greater protection to personnel working with asbestos and to identify remaining asbestos end items tat must be replaced. The Appendix to this paper lists the asbestos-free end items now specified for thermal insulation systems.
Optimized Transfer Learning: Application for Wireless Channel Selection

Recently, transfer learning (TL) has emerged as a powerful machine learning method in distributed environments. Transferring the knowledge between distributed agents helps reduce both learning time and computing costs. However, in a communication system, the advantage of TL comes with communication costs. To make an optimal decision of transfer between two agents, we try to answer three key questions: i) which information should be transferred from a source to a target? , ii) how this transferred information will be adapted to the target? and iii) when should TL be triggered to optimize the costs? To this end, we introduce a new concept of similarity based on the Best Approximation Theory and a general transfer rule. Then, we propose a model to evaluate the feasibility and optimality of TL. We verify our proposed model in the context of the wireless channel selection problem using contextual multi-armed bandits. Experimental results show optimal TL decisions can be made, and Extra Action is an efficient technique for TL in channel selection.
A Least-Squares Boundary Residual Method for the Numerical Solution of Scattering Problems

An explicit least-squares criterion is put forward as an alternative to the point-matching method of numerically solving scattering problems. While being an established method of functional approximation, it has been largely ignored in numerical approaches to electromagnetic scattering. In contrast to point matching, the least-squares approach has a rigorous proof of convergence. An electric/magnetic weighting factor is found useful in optmizing convergence. Finally, it allows use of perhaps the fastest and most compact matrix inversion algorithm.
Hybrid Deep Learning Gaussian Process for Deterministic and Probabilistic Load Forecasting

Various hybrid load forecasting models have been proposed in recent years, but they generally assign weights to individual forecasting models for optimal combinations and without taking full advantage of the strengths of each model. In this paper, a hybrid Deep Learning Gaussian Process (HDLGP) model for short-term deterministic and probabilistic load forecasting (DLF and PLF) is proposed. This model merges the predictive power of artificial neural networks (ANN) and the ability to handle uncertainty of Gaussian Process (GP) by a composite kernel. Firstly, we design a multi-layer perception (MLP) neural network to learn high fluctuating load data. Then a GP with a composite kernel is incorporated to capture the residuals based on MLP so that further boost accuracy of DLF, meanwhile performing high-quality probability density estimation. Our model guarantees both reliability and sharpness of the PLF. Verifying our proposed model based on the realistically available data, it indicates that our model outperforms the other list approaches both in DLF and PLF.
Small Multilayer Piezoelectric Transformers with High Power Density –Characteristics of Second and Third-Mode Rosen-Type Transformers–

Low-profile inverter power sources are increasingly required for backlight systems of liquid crystal displays. A great deal of attention has been focused on the application of miniaturized piezoelectric transformers to such power sources. In this study, the output performances of two types of piezoelectric transformers, one operating in the second-order longitudinal vibration mode with dimensions of 20 mm×6 mm× 0.9 mm, the other operating in a third-order longitudinal vibration mode with dimensions of 27 mm× 4.5 mm×0.9 mm, are compared by means of equivalent circuit analyses and experiments. The values of efficiency for both reach a maximum when connecting a load resistance of 50 kΩ to the output terminals. In terms of output power, the latter, with seven ceramic layers in the driver section, generates an output power of 3.3 W, which is twice as much as that of the former with nine ceramic layers. It is concluded that the difference is caused by mechanical losses which depend on their vibration levels and multilayer structure and by the variation of impedance at their output terminals.
PAPR REDUCTION TECHNIQUE FOR 3GPP LTE OFDM SYSTEM BY J ROTATION

LTE (long term evolution) is the last step toward the 4th generation (4G) of radio technologies designed to increase the capacity and speed of mobile telephone networks. Where the current generation of mobile telecommunication networks are collectively known as 3G (for "third generation"), LTE is marketed as 4G. LTE uses Orthogonal Frequency Division Multiplexing (OFDM) for the downlink - that is, from the base station to the terminal. OFDM meets the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates. However, one of the main drawbacks of the OFDM modulation technique is the large peak-to-average power ratio (PAPR) of the transmitting signals. This high PAPR causes interference when the OFDM signals are passed through an amplifier which does not have enough linear range. Several PAPR reduction techniques such as magnitude clipping, block coding, and partial transmit sequence (PTS) and pulse shaping have been proposed to reduce the PAPR. In this paper, we evaluate PAPR reduction technique by changing the phase of some subcarriers. The cumulative distribution function (CDF) of the PAPR, which can be used to evaluate the PAPR reduction performance, is derived for OFDM signals.
Flow rate prediction for an adiabatic capillary tube in a transcritical CO2 system: an analytic approach

Transcritical nature of the CO 2 refrigeration cycle makes the capillary tube behavior distinctly different compared with a conventional subcritical system. A novel closed-form analytical solution is proposed to simulate the flow characteristics of an adiabatic capillary tube. Such an analytical solution is being proposed, for the first time, for the transcritical--superheated--two phase region in a CO 2 -based transcritical heating--cooling system. Improved K value relations based on Gaussian function for CO 2 are obtained employing MATLAB-based tools. Predictions by the proposed analytical model have been validated against carefully obtained test data and the observed agreement is fairly good. Copyright The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org, Oxford University Press.
Appreciative inquiry: a tool for transforming the University for Development Studies

The supremacy of the traditional way of thinking and decision making continue to make society to look for methods of searching for problems and their possible causes faced by individuals, groups, organizations and find ways of overcoming them and build the capacity of the human resources and consequently, the development of individuals, organizations and communities. The University for Development Studies implores the Committee System of Management; which also scouts for problems as in the traditional approach. It is in the light of this that the study seeks to explore the positive approach of Appreciative Inquiry and make recommendations to the University Management for consideration. In the context of the current management challenges facing the University, this approach will serve as a “Positive Revolution Model” which will allow staff to participate effectively in the management of the University and hence; create transformational change in the development of the University which will in turn lead to high productivity. Appreciating one’s worth of ideas is a very powerful tool to unearth his/her talents. Appreciative inquiry has been envisaged as a powerful approach that University Administrators and Managers can adopt, as its foundation is built on the social constructionist viewpoint to support contemporary management of higher educational institutions. The paper outlines the philosophy of AI as it applies to organizational development and transformational change; illustrates AI practices connected with a five- stage model; highlighted the differences between AI and the traditional approach; and substantiated reasons why AI is more successful in managing change. The author suggests that any approach by itself is not an end in itself unless a person internalizes it positively or follows through by “valuing it and acting on it”.
Beliefs and Factors Affecting the Usage and Compliance of Inhalers in Treatment of Asthma in Children

Background: Despite the availability of several treatment modalities-various formulations of inhaled corticosteroids and delivery devices, the prevalence of asthma is increasing in the developing countries, especially among the paediatric age group. Though Inhaled corticosteroids are effective in the management of asthma, parents prefer oral medications and nebulisers as the treatment modality for their children. Thus, there is a general reluctance amongst the parents towards the use of inhalers. This article focuses on the beliefs and factors affecting the usage and compliance of inhalers in the treatment of asthma. Objectives: To assess Beliefs and factors affecting the usage and compliance of inhalers in treatment of asthma in children. Materials and Methods: This study was conducted in Tamilnadu from March 2021 to June 2021.A cross -sectional study was conducted among 112 asthma patients of paediatric age group in a tertiary care medical college and hospital in Chennai through a questionnaire containing the demographic details, details regarding the treatment modalities, the inhalers and their usage. The results obtained were tabulated and analyzed. Result: The study included 112 asthmatic patients,68 boys and 44 girls of whom 87.17% of the children had recurrent episodes of cough and cold. 45.53% of the patients used oral medications along with nebulisation,26.8% used inhalers and 27.67% used inhalers along with oral medications. 78.57% of the parents were aware about the use of inhalers in the treatment of asthma and 59.82% of the parents showed reluctance to use inhalers for their children. Conclusion: In spite of inhaled corticosteroids being effective in the management of asthma, oral medications and nebulisers are the mainstay treatment in majority of the cases. Social stigma, fear of addiction and lack of knowledge are the major reasons for the reluctance of parents towards the use of inhalers.
Miniature and Tunable Filters

,), a miniature three-pole filter was developed with 8.6% bandwidth based on high- MEMS bridge capacitors. The miniature filter is approximately 3.5 times smaller than the standard filter with a midband insertion loss of 2.9 dB at 21.1 GHz. The MEMS bridges in this design can also be used as varactors to tune the passband. Such a tunable filter was made on a glass substrate ( , ). Over a tuning range of 14% from 18.6 to 21.4 GHz, the miniature tunable filter has a fractional bandwidth of 7.5 0.2 and a midband insertion loss of 3.85‐4.15 dB. The of the miniature-tunable filter is measured at 32 dBm for the difference frequency of 50 kHz. The increases to 50 dBm for difference frequencies greater than 150 kHz. Simple mechanical simulation with a maximum dc and ac (ramp) tuning voltages of 50 V indicates that the filter can tune at a conservative rate of 150‐300 MHz s.
Maximum efficiency and output of class-F power amplifiers

A class-F power amplifier (PA) improves efficiency and power-output capability (over that of class A) by using selected harmonics to shape its drain-voltage and drain-current waveforms. Typically, one waveform (e.g., voltage) approximates a square wave, while the other (e.g., current) approximates a half sine wave. The output power and efficiency of an ideal class-F PA can be related to the Fourier coefficients of the waveforms, and Fourier coefficients for maximally flat waveforms have been determined. This paper extends that theory by determining the coefficients for the maximum power and efficiency possible in a class-F PA with a given set of controlled harmonics.
CN , NH 2 , and dust in the atmosphere of comet C / 1999 J 3 ( LINEAR )

Comet C/1999 J3 (LINEAR) was observed with 2 m telescope of the Pik Terskol Observatory on September 19, 1999. Narrow-band CCD images of the CN, NH2, and dust atmospheres were recorded with the Two-Channel focal reducer of the Max-Plank-Institute for Aeronomy. The distributions of the CN and NH2 molecules in the comet atmosphere were fitted with a Monte Carlo model. For the CN atmosphere the best agreement between observed and calculated surface profiles was reached with the CN photodissociation lifetime τ (CN) = 1.5×10 s and with the parent photodissociation lifetime τ (CNparent) = 3.2×10 s. This result indicates that HCN is the main source of the CN radicals in the atmosphere of comet C/1999 J3 (LINEAR). Regarding the NH2 radicals, there is no doubt that NH3 is the dominant source of this species in the comet atmosphere. The lifetimes τ (NH2) = 1.0× 10 s for NH2 and τ (NH2 parent) = 5.0× 10 s for its parent are close to theoretical calculations. The gas-production rates of CN, Q(CN) = 3.8×10 mol s−1, and NH2, Q(NH2) = 6.9×10 mol s−1 have also been determined. The appearance of the comet and the obtained data show that the comet is a gaseous one. The Afρ values are 21.6 cm for the blue spectral window and 23.4 cm for the red one. The normalized spectral gradient of the cometary dust is low, 4.0% per 1000 Å. The ratio log((Afρ)443/Q(CN)) = −24.25 indicates a very low dust to gas ratio as well.
Assessment of the Risk of Foot and Mouth Disease among Beef Cattle at Slaughter from East African Production Systems

Endemic foot and mouth disease (FMD) in East African cattle systems is one factor that limits access to export markets. The probability of FMD transmission associated with export from such systems have never been quantified and there is a need for data and analyses to guide strategies for livestock exports from regions where FMD remains endemic. The probability of infection among animals at slaughter is an important contributor to the risk of FMD transmission associated with the final beef product. In this study, we built a stochastic model to estimate the probability that beef cattle reach slaughter while infected with FMD virus for four production systems in two East African countries (Kenya and Uganda). Input values were derived from the primary literature and expert opinion. We found that the risk that FMD-infected animals reach slaughter under current conditions is high in both countries (median annual probability ranging from 0.05 among cattle from Kenyan feedlots to 0.62 from Ugandan semi-intensive systems). Cattle originating from feedlot and ranching systems in Kenya had the lowest overall probabilities of the eight systems evaluated. The final probabilities among cattle from all systems were sensitive to the likelihood of acquiring new infections en route to slaughter and especially the probability and extent of commingling with other cattle. These results give insight into factors that could be leveraged by potential interventions to lower the probability of FMD among beef cattle at slaughter. Such interventions should be evaluated considering the cost, logistics, and tradeoffs of each, ultimately guiding resource investment that is grounded in the values and capacity of each country.
The iron revolution: Keeping abreast of the developments in iron therapy

Department of Medicine, Georgetown University School of Medicine, Washington, District of Columbia, USA Department of Clinical Nephrology, King's College Hospital, London, UK Department of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah, USA Department of Medicine, Pathology and Pediatrics, Knight Cancer Center, Oregon Health Sciences University, Portland, Oregon, USA Division of Surgery, Clinical Trials Unit, University of Western Australia, Perth, Western Australia, Australia
THE APPLICATION OF GUIDED WAVE TRAVEL TIME TOMOGRAPHY TO BENDS

The concept of predictive maintenance using permanent sensors that monitor the integrity of an installation is an interesting addition to the current method of periodic inspections. The method should be capable of providing quantitative wall thickness information for both straight pipes and bends. The wave propagation in bends is far more complicated than in straight pipes because natural focusing occurs due to geometrical path differences. Numerical simulations clearly show this effect. Travel time tomography requires accurate modeling of travel times that can be translated to spatial wall thickness variations. Therefore, a ray tracing algorithm has been developed to calculate travel times as part of the tomographic inversion kernel. Numerical results show that a tomographic inversion on simple simulated data provides accurate results. The focusing effect due to the shape of the bend yields a phase rotation of the wavelet, which complicates accurate timing picking. This effect was excluded in the simulated ray tracing data. Based on these observations it is concluded that a more accurate, wave equation based forward modeling algorithm is required to obtain accurate inversion results on realistic data.
ESTABLISHMENT AND APPLICATION OF A SERIES OF GENETICALLY ENGINEERED MOUSE DERIVED BREAST CANCER HOMOGRAFT MODELS

740 Figure 1 Venn diagram of significant genes associated with MSI-H and TMB-high, identified using expression changes and loss of function mutations. Abstracts J Immunother Cancer 2020;8(Suppl 3):A1–A559 A443 coright. on D ecem er 3, 2021 by gest. P rocted by http/jitc.bm jcom / J Im m unther C acer: frst pulished as 10.11jitc-2020-S IT C 20.0739 on 10 D ecem er 220. D ow nladed fom
A New Back-off Algorithm with Priority Scheduling for MQTT Protocol and IoT Protocols

The Internet of Things (IoT) protocols have encountered great challenges as the growth of technology has led to many limitations of the performance of the IoT protocols. Message Queuing Telemetry Transport protocol (MQTT) is one of the most dominant protocols in most fields of smart applications, so it has been chosen in this research to be a use case for implementing and evaluating a new proposed Back-off algorithm that is designed to eliminate suspicious and fake messages by calculating an initial frequent rate for each publisher connected to the MQTT broker. The proposed Backoff algorithm was designed to mitigate the traffic load of the uplink traffic by applying an exponential delay factor to suspicious publishers. Another priority scheduling algorithm was proposed to classify publishers as high priority or low priority depending on the new calculated frequent rate. The two algorithms were implemented on the Mosquitto broker and evaluated using a simulation environment by measuring specified performance metrics. The simulated results proved that the Back-off algorithm eliminated network load and introduced an acceptable range of CPU and RAM consumption. The results also concluded that the priority classification algorithm managed to reduce the latency of high-priority publishers. Keywords—Back-off algorithm; priority scheduling; MQTT protocol; average transmission frequency rate; IoT protocols
Wireless transmission of power and information and information for cableless linear motor drive

In previous papers, the authors introduced the wireless transmission of power and information (WTPI) for realizing a future manufacturing system which is free from the complexity of wiring for the power supply or control. In extension from these studies, the authors have attempted to apply the linear-type WTPI for realizing the maintenance-free drive and the multimover operation of a moving coil-type linear motor. This paper describes the basic concept of the WTPI and the analysis on the performance of the WTPI configured in the linear shape, thereafter introducing the preliminary test result on a prototype of the cableless linear pulse motor (CLLPM) which was constructed by integrating a linear pulse motor (LPM) with the associated driver and the linear WTPI for noncontact motion transfer.