Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Output-Feedback Tracking of Multiple Nonlinear Systems With Unmeasurable States

In this paper, we investigate the distributed output-feedback tracking problem of nonlinear multiagent systems (MASs) where nonlinear functions of agent dynamics depend on unmeasurable states. Most existing results on output-feedback control of nonlinear MASs are concerned with nonlinear agent dynamics in output canonical form in which the nonlinear functions of agent dynamics only depend on the measurable output. When the nonlinear functions of agent dynamics depend on unmeasurable states, the problem remains open due to the difficulties in constructing distributed observers. When the leader is only available to a small portion of followers in the directed communication topology, we establish relationship between the network topology and the design of the corresponding distributed reduced order observers. Furthermore, by developing a new distributed high-gain homogeneous domination design method, distributed observers, and controllers are designed to guarantee that the errors between the followers’ outputs and the leader’s output can be made arbitrarily small while keeping all the states of closed-loop system bounded. Finally, a numerical example is employed to illustrate the effectiveness of the proposed control scheme.
Efficient localization methods for a point source and rigid body

Localization has been a very important and fundamental research topic in GPS, radar, sonar, and especially in mobile communications and sensor networks over the past few years. When only the position is interested, we introduce the range weighting into suboptimal squared distance measurements based least squares. It remains the computational advantage and is shown to achieve Cramer-Rao lower bound performance, and the resultant bias is also studied. We also conduct similar range weighting for squared range difference least squares under TDOA measurements and for the scenario where the sensor positions are not exactly known. When the orientation in addition to position is interested, such as a rigid body, we can collect some measurements between the fixed sensors on the object and the anchors at fixed locations. Under distance measurements, we develop two-step procedure to improve the accuracy, the first step obtains the coarse solution that is better than existing closed-form method, and the second step refines obtained solution. In addition, we study the moving rigid body using additional Doppler measurements. We also conduct similar position and orientation study using AOA (direction) measurements, and solve the 3D scenario that is seldom considered before. Furthermore, we extend it to the scenario where there is more than one AOA sensor on-board, which either increases the robustness and accuracy or decreases the minimum requirement on number of landmarks.
Online Monitoring of Copper Damascene Electroplating Bath by Voltammetry: Selection of Variables for Multiblock and Hierarchical Chemometric Analysis of Voltammetric Data

The Real Time Analyzer (RTA) utilizing DC- and AC-voltammetric techniques is an in situ, online monitoring system that provides a complete chemical analysis of different electrochemical deposition solutions. The RTA employs multivariate calibration when predicting concentration parameters from a multivariate data set. Although the hierarchical and multiblock Principal Component Regression- (PCR-) and Partial Least Squares- (PLS-) based methods can handle data sets even when the number of variables significantly exceeds the number of samples, it can be advantageous to reduce the number of variables to obtain improvement of the model predictions and better interpretation. This presentation focuses on the introduction of a multistep, rigorous method of data-selection-based Least Squares Regression, Simple Modeling of Class Analogy modeling power, and, as a novel application in electroanalysis, Uninformative Variable Elimination by PLS and by PCR, Variable Importance in the Projection coupled with PLS, Interval PLS, Interval PCR, and Moving Window PLS. Selection criteria of the optimum decomposition technique for the specific data are also demonstrated. The chief goal of this paper is to introduce to the community of electroanalytical chemists numerous variable selection methods which are well established in spectroscopy and can be successfully applied to voltammetric data analysis.
Greedy Approach for Optimizing 0-1 Knapsack Problem

Abstract: 0--1 knapsack problem is a typical NP complete problem in field of computer. Traditional knapsack problem is solved recursively using backtracking, branch and bound, dynamic programming and greedy methods. The advantages of using recursive backtracking to solve knapsack problem algorithm are – its simplicity, completely traverse the search space and sure to find the optimal solution. But the solution space is exponential growth, when extended to certain extent. This algorithm will solve the knapsack problem unrealistically. The greedy algorithm can only be used to get Approximate Solution in a certain range near the optimal solution. This paper is based on 0-1 knapsack problem, a mathematical model, and analysis of the greedy strategy. Effort is made to give a genetic algorithm that solves the knapsack problem. Greedy strategy along with the traditional genetic algorithm has been improved that shorten the time of solution. Further, it improves the accuracy of the solution.
What Types are There?

Preferences differ in the population, and this heterogeneity may not be adequately described by observed characteristics and additive error terms. As a first contribution, this study shows that preference heterogeneity can be represented graphically by means of violations of the Weak Axiom of Revealed Preference (WARP), and that computing the minimum number of partitions necessary to break all WARP violations in the sample is equivalent to computing the chromatic number of this graph. Second, the study builds the bridge between revealed preference theory and cluster analysis to assign individuals to these partitions (i.e. preference types). The practical methods are applied to Dutch labour supply data, to recover reservation wages of individuals who belong to particular preference types.
The application of traditional patterns in the teaching of modern logo design

: For the teaching of modern logo design, the traditional pattern not only has a good educational effect, but also can be inherited by teaching, which is helpful to change the cultural phenomenon. The research mainly introduces the function of traditional pattern teaching, discusses the importance of its integration into teaching, and then puts forward the method and application strategy. Through the research, let the traditional design smoothly into the modern logo design teaching, depending on the strategy to make its reasonable application, which can cultivate more quality personnel.
Does a Positive Suggestion Work Better in Encouraging Positive Eating Behavior?

Due to the increasing problem of diabetes caused by unhealthy food consumption behavior, countless behavioral science has paid attention to encouraging people to eat healthier foods. Previous studies suggested that framing messages with low and high-construal influences people's food choices, and a sense of power is also found to motivate individuals to change their behavior. Thus, the current study aimed to investigate the effects of healthy messages framed with low and high construal levels combined with a sense of power on people's healthy food choices. In doing so, four-hundred participants were randomly assigned to one of five conditions in the laboratory experiment: i. low-construal level message, ii. the high-construal level message, iii. a low-construal level message with a high sense of power, iv. a high-construal message with a high sense of power, and v. control group (no message frame). Each message was presented in the "thank you” card, given to participants in each condition after completing the activity that did not relate to food. Afterward, participants were asked to choose either healthy brownies or regular ones as a reward for participating in the experiment. The result showed that a low-construal healthy message influenced participants to choose healthy brownies (p<0.05). Unexpectedly, messages with a high construal level and a high sense of power were not shown the effects.
Physicochemical characterization of zeolite and nutraceutical quality of Cucurbita pepo amended with this aluminosilicate and rows covered with plastic mulch

: The physical and chemical characteristics of the substrates employed in the present study with zuchinni plants were improved by the addition of zeolite to the soil at 20 and 40 T ha -1 . Zeolite increased total porosity and bulk density of the substrate, and also promoted a greater water retention capacity compared to control treatment. Concerning to fruit quality, zeolite significantly increased fruit diameter and in a similar way, plastic mulching increased fruit diameter and total yield. The interaction zeolite-PM showed highly significant differences in fruit length, diameter, total soluble solids and firmness of zucchini fruits, also they were positively affected by the interaction of zeolite and plastic mulch. Therfore, we conclude that growth, yield and quality of C. pepo plants could be improved by amending the soil with natural zeolite and by row covering with plastic mulching.
Study and control of the effects of numerical dispersion on plasma simulations of relativistic high harmonic generation

The development of laser technologies to produce extreme intensities has allowed the generation of high-order harmonics from relativistic laser-plasma mirror interactions to become attainable to observe experimentally. Numerical plasma simulations are invaluable for understanding the dynamic processes underpinning this mechanism. However, accuracy in describing high-frequency electromagnetic waves is challenging. Finite Difference Time Domain methods give rise to numerical dispersion when used to solve Maxwell’s equations, inducing a dispersive change in vacuum refractive index, which causes significant errors in physical properties of the reflected field, such as an angular deviation in the harmonic spatial profiles from the predicted specular reflection. EPOCH Particle-In-Cell (PIC) code is used to perform two-dimensional (2D) simulations to extensively study and control the effects of numerical dispersion on the generated harmonics for several Maxwell solvers. Effects on angular deviation across a range of angles of incidence and strategies to mitigate dispersive effects via controlling interaction geometry are discussed.
Homotopy Analysis Method for Nonlinear Fractional Gas Dynamics Equation

Fractional calculus is of vital importance and its significance is increased a lot since last many years. This paper applies Homotopy Analysis Method (HAM) to obtain analytical solutions of nonlinear fractional gas dynamics equation. Numerical results reveal the complete compatibility of proposed algorithm for such problems. Two special cases of the equation has been solved.
Social media engagement and democracy: Understanding the impact of social media on youth civic engagement in Tanzania

This study examined how the use of social media among youth influences their offline civic participation outside the election period in Tanzania. Unlike previous studies, this study used multidimensional aspects of civic participation. Civic participation was studied using the concurrent qualitative dominant mixed-methods approach. The study conducted four focus group discussions (FGD) with the aid of an FGD guide and surveyed 372 young people with the help of a questionnaire. Narrative responses were analyzed thematically with the aid of NVivo-12, whereas statistical data were analyzed with the aid of SPSS 26 software. The participants in this study agreed that they comment and share messages, photos, voice messages and videos related to civic activities using social media, and that they actively participate in their own community offline. The research findings confirmed the connection between the social media interactivity of youth and their active offline civic participation. This study lays the foundation for further research and theory development.
Deep learning model for traffic flow prediction in wireless network

In wireless networks, the traffic metrics often play a significant role in forecasting the traffic condition in traffic management systems. The accuracy of prediction in data-driven model gets reduced when it is influenced by non-routing or non-recurring traffic events. The analytical data model used in the proposed method takes into account not only traffic volume and congestion, but also the characteristics of individual applications and user behaviour. This allows for more accurate traffic prediction and better traffic management in wireless networks. The simulation conducted in the paper evaluates the performance of the proposed method in terms of connection success probability and latency. The results show that the proposed method achieves a connection success probability of 93% and a latency of less than 2 ms, demonstrating its effectiveness in improving traffic prediction and management in wireless networks.
FoMO, but not self-compassion, moderates the link between social media use and anxiety in adolescence

ABSTRACT Objective Social media use is ubiquitous during adolescence, and emerging research suggests an association with anxiety symptoms in some individuals. Two psychological constructs which may moderate this relationship are Fear of Missing Out (FoMO) and self-compassion. Higher FoMO tendencies may exacerbate the link between social media use and anxiety symptoms through greater fixation on social comparison, whereas higher self-compassion may weaken this link. The purpose of this study was to examine whether FoMO and self-compassion independently moderate the relationship between social media use and anxiety symptoms in adolescents. Method Participants included 951 adolescents (M age = 13.69, SD = 0.72; 54% male). Online questionnaires assessed frequency of social media use, anxiety symptoms, FoMO, and self-compassion. Results FoMO moderated the relationship between social media use and anxiety, ΔR 2 = . 022, ΔF(1,945) = 26.26, p < . 001. Increased social media use was associated with increased anxiety symptoms in adolescents high in FoMO and reduced anxiety for adolescents low in FoMO. Self-compassion was not a significant moderator. Conclusion These findings have implications for social media use, public guidelines and clinical practice and support adoption of a discerning approach to adolescent’s social media use. KEY POINTS What is already known about this topic: Whilst some studies demonstrate an association between social media use and anxiety, depression or self harm, other studies suggest social media is beneficial to wellbeing. Previous research suggests that Fear of Missing out mediates the association between anxiety and social media use. Self compassion is associated with less time spent on social media. What this topic adds: This study identified students who are adversely affectedby social media use amongst Australian adolescents and differentiated them from students who derive some benefit from social media use. Students who were concerned by a fear of missing out showed that social media use was associated with increased levels of anxiety. Incontrast, for students who were not concerned with missing out, increased social media use was associated with reduced levels of anxiety. Self-compassion did not moderate the association between increased social media use and anxiety symptoms.
WATERSHED IDENTIFICATION AND ITS EFFECT TOWARD FLOOD (CASE STUDY: MAKASSAR CITY).

Information Systems (SIG) version 10.5 application, the watershed of Makassar can be identified. The results show that watershed in Jeneberang region is the largest watershed area that empties into Makassar City. The watershed reaches 76,085.06 hectares while the Gowa-Takalar watershed is the smallest of 1.88 hectares. There are 2 watershed areas that have no effect on the risk of flood in Makassar City namely Maros watershed and Gowa-Takalar watershed. The research results can be utilized for water resource management needs such as primary and secondary flow planning, both by practitioners and the government of Makassar City.
A 223–276-GHz Cascadable FMCW Transceiver in 130-nm SiGe BiCMOS for Scalable MIMO Radar Arrays

This article reports a 223–276-GHz monostatic frequency-modulated continuous-wave (FMCW) radar transceiver (TRX) chip. The TRX is suitable for building massive multiple-input multiple-output (MIMO) radar arrays in the daisy-chain topology because of its cascadable feature based on the injection-locking feedthrough technique. The TRX is based on $18\times $ frequency multiplication chain that can be fed by either an external signal generator (SG) or its internal voltage-controlled oscillator (VCO). The modulation bandwidth (BW) is about 53 GHz when the internal VCO is activated, resulting in a range resolution of better than 3 mm. The peak output power is 3.1 dBm at 240 GHz with a 3-dB BW of 41 GHz. Its receiver (RX) channel is based on the in-phase/quadrature architecture enabling complex signal sampling. The minimum single-sideband (SSB) noise figure (NF) is 18.7 dB at 255 GHz, and the average value is 20.7 dB. The TRX chip includes an on-chip antenna coupled with a silicon lens, offering a peak effective isotropic radiated power (EIRP) of 27 dBm at 240 GHz. The TRX consumes a dc current of 234 and 270.1 mA from a single supply voltage of 3.3 V for external and internal VCO operations, respectively. The chip occupies a total area of 2.7 mm 2 ( $2.16\times1.26$ mm).
Significant improvement in the thermal annealing process of optical resonators

Thermal annealing performed during process improves the quality of the roughness of optical resonators reducing stresses at the periphery of their surface thus allowing higher Q-factors. After a preliminary realization, the design of the oven and the electronic method were significantly improved thanks to nichrome resistant alloy wires and chopped basalt fibers for thermal isolation during the annealing process. Q-factors can then be improved.
Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor

Satisfying the process technical requirements while optimizing the control of oxygen and zinc oxide is the main task for optimal operation of the iron removal process. However, due to the complicated mechanism and varied production conditions, the process is difficult to achieve optimal operation with the simple controller. The manual control, as a result, is extensively used in practice. In this paper, we develop an optimal setting and control (OSC) system for the iron removal process to achieve its technical requirements with minimal process consumptions. The OSC system is composed of a neural network soft-sensor, an optimal setting module, an optimal controller, and a fuzzy-logic-based compensator. First, we define the oxygen reaction efficiency (ORE) to measure the difference between the theoretical oxygen amount and its actual amount. Due to the ORE cannot be measured online and it varies with the production conditions, an adaptive weight radial basis function neural network soft-sensor is designed to estimate it. The adaptive weight adjusting method contributes to improve the adaptability of the soft-sensor, and its convergence is discussed. The optimal setting module provides the set-point of outlet ferrous ion concentration for the optimal operation of every reactor. The steady-state optimal control of oxygen and zinc oxide is then established, and the compensator compensates the control inputs utilizing the feedforward and feedback information. Finally, simulations validate that the ORE is important for the optimal control of the process. Furthermore, industrial experiments are presented to verify the effectiveness and potential of the proposed strategy.
The Phenomenon of Frequency Pulling, Synchronization and Cessation of Self-oscillations of the Briggs – Rauscher Reaction Under Periodic Light Irradiation

This paper explores the phenomenon of synchronization of concentration self-oscillations of the Briggs –Rauscher reaction under external periodic exposure to white light. A high sensitivity of the self-oscillating reaction regime to periodic light irradiation is shown. The paper presents the dependence of the synchronization band on light power, establishes the limiting values of external light irradiation power at which self-oscillations “go off”. The 0.04–0.1 Hz synchronization range of concentration oscillations under external light irradiation is determined. The phenomenon of frequency pulling of concentration oscillations occurred under external light irradiation with frequencies ranging from 0.029 to 0.039 Hz before synchronization and from 0.1 to 0.14 Hz after synchronization. It was established that, as the power of radiation from an external source was increased, the range of synchronization shifted to the low-frequency region of concentration oscillations, while the width of the range changed only slightly. When the luminous flux from the illumination source was less than 250 lm, no synchronization of the self-oscillating reaction regime arose, and when the luminous flux from the source was more than 5000 lm, the self-oscillatory process of the Briggs – Rauscher reaction ceased.
An infection age-space structured SIR epidemic model with Neumann boundary condition

ABSTRACT In this paper, we are concerned with an SIR epidemic model with infection age and spatial diffusion in the case of Neumann boundary condition. The original model is constructed as a nonlinear age structured system of reaction–diffusion equations. By using the method of characteristics, we reformulate the model into a system of a reaction–diffusion equation and a Volterra integral equation. For the reformulated system, we define the basic reproduction number by the spectral radius of the next generation operator, and show that if , then the trivial disease-free steady state is globally attractive, whereas if , then the disease in the system is persistent. Moreover, under an additional assumption that there exists a finite maximum age of infectiousness, we show the global attractivity of a constant endemic steady state for .
First data on the genetic structure of Trachemys scripta populations in Sicily (Testudines: Emydidae)

: The pond slider Trachemys scripta is one of the most widespread alien turtle species in the world. Its unregulated trade and the consequent uncontrolled releases into the wild led to negative impacts on the native turtles of the invaded areas. In Italy, alien pond sliders are widely spread, and the occurrence of hatchlings and well-established populations is known in some areas. However, to date in Sicily, only a single female of Trachemys scripta laying eggs was reported. Besides that, nothing is known about the actual reproduction success and establishment of self-sustaining T. scripta populations in Sicily. Therefore, based on 14 previously characterised highly polymorphic microsatellite loci, we aimed to unravel if the alien turtles successfully reproduce in Sicily, in both natural and semi-natural areas (i.e., lake “Biviere di Gela” and “Parco d’Orléans”, respectively). Our results show a clear structuring of the two studied populations. Several full-sibling relationships between the sampled turtles were found, suggesting actual reproduction in the wild of the pond sliders in Sicily. However, further sampling is desirable since no parent-offspring relationships were observed in the studied populations. Due to our results, systematic monitoring of alien pond sliders in the whole of Sicily is crucial for better planning of mitigation strategies in order to protect the native biota of Sicilian inland waters.