Miracle-dz/UniFAR-FTUs huggingface dataset:
Development Electronic Design Automation for RF/Microwave Antenna Using MATLAB GUI

This chapter presents the development of a user-friendly MATLAB-based electronic design automation (EDA) tool for RF/microwave antenna design. The development steps of EDA using MATLAB ‘guide' and MATLAB ‘appdesigner' design environments have been explained in detail. In this chapter, seven EDAs of different antennas are developed and described. The EDA is capable of predicting the dimensions of the antenna by inputting the desired operating specifications of the antenna, such as operating frequency. The rigorous analytical formulations that are implemented in this EDA are briefly described. The developed EDAs have simple and standalone guide user interface (GUI) display and fast program running time compared to iterative solution or numerical-based EDAs. The developed EDAs can be packaged and accessed either as standalone desktop app or web app. The accuracy of the EDA output results is validated by comparing to measurement and simulation results obtained from a commercial simulator.
Anleitung in der Anästhesiepflege

Insbesondere Teilnehmer von Fachweiterbildungen sind häufig unzufrieden mit den Unterweisungen in der Anästhesiepflege. Deshalb hat unsere Autorin die aktuelle Anleitungsmethode reflektiert und verrät, wie eine effektive Praxisanleitung im Berufsalltag mit der Methode „Modeling mit Metalog“ gelingt.
Determination of Cadmium in Human Serum and Blood Samples after Dispersive Liquid–Liquid Microextraction Using a Task-Specific Ionic Liquid

ABSTRACT Task-specific ionic liquid dispersive liquid–liquid microextraction (TSIL-DLLME) is a simple and rapid preconcentration approach for the measurement of cadmium in serum and blood samples of human subjects. In this method a novel task-specific ionic liquid, trioctylmethyl ammonium thiosalicylate (TOMATS), which has dual characteristics as a chelating agent and extractive solvent, was investigated. TOMATS complexes with Cd due to the chelating effect of the ortho-positioned carboxylate relative to the thiol functionality. The assessment of the optimum values of variables including the pH, amount of reagents (TOMATS, diluents, Triton X114, and back extracting acid solution), temperature, and incubation time, which affect the recoveries of analyte by TSIL-DLLME method were studied. After enrichment experiments, acidic solution was used to back extract the metal ions from the ionic liquid rich phase and with determination by electrothermal atomic absorption spectrometry. Using the optimal experimental conditions, the limit of detection (3 s), precision (relative standard deviation), preconcentration, and enhancement factors of developed method for Cd were found to be 0.05 µg/L, greater than 5%, 62.5, and 52.8, respectively. To check the accuracy of the developed method, certified reference material of serum and blood were analyzed by the developed method, and the measured values of Cd were in good agreement with the certified values. The developed method was applied successfully to determine Cd in blood and serum samples of lymphatic cancer patients relative to healthy controls.
Age characteristics of the working memory

This paper raises the question of the relationship between two mechanisms of working memory - Retrieval-Induced Forgetting (RIF) and Retrieval-Based Learning (RBL) in ontogenesis. Working memory is an element of executive functions, the effectiveness of which predetermines the success of learning, which determines the importance of studying the mechanisms of its implementation. RIF is a deterioration in the reproduction of subsequent stimuli as a result of reproduction of previous stimuli that are similar in some parameter. RBL is the reverse process, in which each subsequent reproduction in the working memory leads to better memorization of information when the memory is repeatedly tested. Comparison of works representing specific ages of the subjects does not allow us to imagine the complete change in the interaction of the two mechanisms with age. This is what became the task of this study. An original computerized technique was used (Razumnikova et al., 2016) which had been designed to memorize visual objects presented on a computer screen. The technique included three series, during which the same set of simple objects were presented, but the order of the presentation varied from series to series. The study involved 201 children: 17 children who were 3-4 years old, 90 children who were 5-7 years old, 47 children 10-11 who were years old and 47 children who were 12-14 years old. It is shown that RIF processes are mostly formed in children 3-4 years old. The effectiveness of RBL increases with age and reaches its greatest values by adolescence.
Acute grief experience in Diyarbakir condolence houses and the factors influencing the severity of grief (eng)

Objective: The objectives of this study were to measure state anxiety levels of individuals in an acute grief period following the death of a close relative, and to evaluate the effects of degree of closeness and gender on grief reactions. Method: The study was conducted in condolence houses in Diyarbakir, Turkey with participants in mourning due to kinship with the deceased. One hundred twenty-two participants (49 females, 73 males) were included in the study. Fifty-four individuals (27 females, 27 males) who were not relatives of the deceased were included in the control group. After informing the participants about the study and obtaining their consent, all participants were asked to complete a survey with a sociodemographic data form, state anxiety inventory (SAI), and a list of possible behavioural reactions. Results: Acute grief experience was more severe and SAI scores were higher in first-degree relatives. When the loss was sudden, the mean SAI score was 51.8±8.9 and when it was an anticipated death, the mean SAI score was 45.8±11.4 (p<0.001). Grief symptoms were more severe in females compared to males (p<0.001). Psychophysiological reactions of the deceased’s relatives were observed to be more severe than the control group. Discussion: As the degree of closeness increases, and when the death is unexpected and sudden, individuals appear to be affected more, and have higher levels of anxiety. Females are affected by the grief process more than males.
Sustainable Development of the Future Learning Standart: The Use of the Mobile Application in the Learning Process

: The given article is devoted to the study of the mobile application Duolingo as a sustainable method of teaching and learning foreign languages. In the light of the recent lockdown and rapid move to online learning, the problem of introducing effective and engaging teaching methods of the future is becoming more and more relevant. As we live in a modern IT world we are given innumerous applications to choose to learn something new and develop definite skills. However, not all of them could be used as a supplementary part of the online lesson or session. As far as the mobile application Duolingo is concerned, the bite-size lessons seem to contribute to fruitful work and further great feedback from students. Adding to the lesson plan few minutes of learning in the form of a funny game due to this mobile application is likely to help your students to manage pandemic anxiety symptoms, i.e. depression and tiredness and get ready for further studying. Having done the peer review asking 60 students we analyzed the application Duolingo underlining its strongest sides. Also some disadvantages are mentioned for those who are going to download and use the considered application.
Factors Influencing Business Performance of Small and Medium Enterprises: A Case Study in Sri Lanka

This study aims to investigate variables affecting the business performance of Muslim women entrepreneurs in Sri Lanka. A multidimensional analysis was proposed with five potentially defined antecedents of business performance which included psychological characteristics, human capital, social capital, industrial factor, and cultural factor. Data was collected from 286 respondents through the use of a self-administered questionnaire. The results of structural equation modeling indicate that the model meets the goodness-of-fit indices and that generally, all five factors have significant positive relationships with business performance. Amongst the dimensions of psychological characteristics, only risk-taking had a notable effect on business performance. Amongst the dimensions of human capital, two of the three dimensions (business experience and business skills) were significantly associated with business performance; in the case of social capital, one of the two dimensions (non-familial affiliations) was significantly associated with business performance; and in the case of industrial factor, resource accessibility was significantly associated with business performance. A strong positive correlation with business performance has also been demonstrated by the cultural factor which was a new concept to the paradigm as a whole. This study has broadened the understanding of existing literature on Muslim women entrepreneurship and contributed practical implications to government, policymakers and other related agencies, chambers of commerce, the general public, as well as the Muslim women entrepreneurs themselves.
Modelling of transmission tower considering the surge response of tower grounding device

Surge propagation on transmission tower is a concerning issue in lightning protection, particularly in predicting overvoltage on electrical power system as well as providing reference information for surge protection design. Transmission towers have been modelled, previously, based on analytical electromagnetic analysis and measured lightning surge experiments, while the tower grounding device is considered as a lumped resistance conventionally. As a matter of fact, surge response of tower grounding device is of great importance in determination of surge propagation along transmission lines and towers. This paper proposes a transmission tower model considering surge propagation of tower grounding device by applying Vector Fitting method, and the proposed model provides consistent results as electromagnetic simulation.
Ring-Shaped D-Band E-Plane Filtering Coupler

This letter presents a ring-shaped <inline-formula> <tex-math notation="LaTeX">$E$ </tex-math></inline-formula>-plane filtering coupler working at 150 GHz with high performance. The coupler is based on cavity resonators. Unlike the conventional ones, the four resonators in this coupler are all bent along their length direction and connected end to end, forming a closed circle. By adjusting the radius of the circle, three of the resonators work on TE<sub>101</sub> mode while the other is on TE<sub>102</sub> mode. The coupler can be split through <inline-formula> <tex-math notation="LaTeX">$E$ </tex-math></inline-formula>-plane and the measured response of the coupler has an excellent agreement with the simulation, with a low amplitude imbalance of 0.31 dB, insertion loss of 0.12–0.46 dB, and over 20-dB return loss and isolation.
Multivariable Model Predictive Control for a Virtual Synchronous Generation-Based Current Source Inverter

Three-phase current-source inverters are an alternative solution for interfacing photovoltaic modules to the utility thanks to its voltage boosting ability. This paper presents a virtual synchronous generator strategy for a three-phase current-source inverter using a multivariable model predictive control. The proposed method can ensure operations in both grid-connected and islanded modes while achieving virtual inertia features to stabilize the grid frequency and active damping to reduce grid current distortions caused by an output CL filter included on the grid side of the system. The obtained simulation results in the PSCAD/EMTDC environment software verify the effectiveness and the excellent performance of the proposed method. 
Service Coverage for Satellite Edge Computing

Recently, increasing investments in satellite-related technologies make the low earth orbit (LEO) satellite constellation a strong complement to terrestrial networks. To mitigate the limitations of the traditional satellite constellation “bent-pipe” architecture, satellite edge computing (SEC) has been proposed by placing computing resources at the LEO satellite constellation. Most existing works focus on space-air-ground integrated network architecture and SEC computing framework. Beyond these works, we are the first to investigate how to efficiently deploy services on the SEC nodes to realize robustness aware service coverage with constrained resources. Facing the challenges of spatial-temporal system dynamics and service coverage-robustness conflict, we propose a novel online service placement algorithm with a theoretical performance guarantee by leveraging Lyapunov optimization and Gibbs sampling. Extensive simulation results show that our algorithm can improve the service coverage by $4.3\times $ compared with the baseline.
Resonance analysis of wind power integration via MMC-HVDC based on frequency-coupled impedance scanning method

The risk of resonances in the frequency range of several hertz to several hundred Hertz may occur in wind farms integration via MMC-HVDC. Stability of wind power integration via MMC-HVDC based on frequency-coupled impedance scanning method is analysed in this paper. First, a frequency-coupled impedance analysis method that is used to measure the sequence impedance models of wind power integration via MMC-HVDC is presented. Then, the network damping stability criterion and aggregated RLC circuit approach is applied for the quantitative assessment of potential resonance risk. Finally, impedance characteristic and stability assessment of doubly-fed induction generator-based wind farms integration via MMC-HVDC is analysed for the resonances in sub/super-synchronous frequency band, medium frequency band and high frequency band respectively.
A narrative review of minimally invasive fundoplication for gastroesophageal reflux disease and interstitial lung disease

Interstitial lung disease (ILD) encompasses a heterogeneous group of acute and chronic disorders characterized by diffuse pulmonary infiltrates with histologic features of pulmonary inflammation, dyspnea, and restrictive lung patterns. Gastroesophageal reflux disease (GERD) and ILD are two pathological conditions often strictly related, even if a clear relationship of causality has not been demonstrated. The mechanisms leading to ILD are not completely understood, although it is recognized that different factors are involved. In recent years, it has been suggested that acid gastroesophageal reflux is an important cause of both systemic sclerosis (SSc)-ILD and idiopathic pulmonary fibrosis (IPF). It has been hypothesized that micro aspiration of gastric material may play a fundamental role in the fibrotic transformation of pulmonary parenchyma. According to that, some studies have described antireflux procedures for patients affected by ILD and GERD. However, although some studies reported good results in terms of improvement of lung function, the role of antireflux surgery remains uncertain as well as not univocal. An extensive literature search was performed from January 1970 to 31 December 2020 in PubMed and the Cochrane Central Register of Controlled Trials. The research was limited to English-language studies. The aim of the present study was to summarize the effect of antireflux surgery for the treatment of abnormal acid GER on the natural history of this disease.
Compound fault diagnosis in hydraulic system with multi-output SVM

The diagnosis of compound faults in complex hydraulic systems is a major difficulty. The number of labels will grow exponentially as the number of fault types increases and fault degrees vary. A diagnosis method based on principal component analysis (PCA) and multi-output support vector machine (SVM) is proposed for this problem. Firstly, by calculating Spearman ranking correlation coefficients of time domain features extracted from multiple sensor signals and each type of fault, the most relevant features are selected, and after dimensionality reduction with PCA, the dataset is constructed. The second is to design a multi-output classifier based on SVM and One-vs-all. Finally, the diagnosis model is evaluated with four indicators including accuracy, precision, recall rate and F1 score. The result indicates that the proposed method can effectively identify all the single faults, fault combinations and their severities at the same time. And the method performs better than diagnosing each type of fault separately.
A fuzzy multi-objective programming optimization model for emergency resource dispatching under equitable distribution principle

In the initial stage of emergency rescue for major railway emergencies, there may be insufficient emergency resources. In order to ensure that all the emergency demand points can be effectively and fairly rescued, considering the fuzzy properties of the parameters, such as the resource demand quantity, the dispatching time and the satisfaction degree, the railway emergency resources dispatching optimization model is studied, with multi- demand point, multi-depot, and multi-resource. Based on railway rescue features, it was proposed that the couple number of relief point - emergency point is the key to affect railway rescue cost and efficiency. Under the premise of the maximum satisfaction degree of quantity demanded at all emergency points, a multi-objective programming model is established by maximizing the satisfaction degree of dispatching time and the satisfaction degree of the couple number of relief point - emergency point. Combined with the ideal point method, a restrictive parameter interval method for optimal solution was designed, which can realize the quick seek of Pareto optimal solution. Furthermore, an example is given to verify the feasibility and effectiveness of the method.
Parallelized C++ Implementation of a Merkle Tree

—Merkle trees are primarily known for being an attribute found in blockchain technology. They are used for encrypting data by hashing values multiple times to avoid incidents such as hash collisions, or the successful guessing of hash values. Merkle trees are not only a useful feature found on the blockchain but in the ﬁeld of Cyber Security in general. This paper outlines the process of implementing a Merkle tree as a data structure in C++ and then parallelizing it using OpenMP. The ﬁnal result is a Merkle tree password storing program with reduced running-time and the ability to operate on multiple processors. The validity of this program is tested by creating a Merkle tree of the correct passwords, storing the value of the root node, and then building a second tree where a single incorrect password is stored within that tree. The two trees are passed through an audit function that compares the root nodes of the two trees. If they are different, then the tree in question has been tampered with.
Navigation of a UAV Network for Optimal Surveillance of a Group of Ground Targets Moving Along a Road

With the rapid increase of vehicles in recent years, traffic surveillance becomes a crucial issue of traffic management. Since the traditional static sensor-based surveillance system can only passively monitor traffic, this paper considers the usage of unmanned aerial vehicles (UAVs), which can proactively conduct traffic surveillance thanks to the excellent mobility of UAVs. Specifically, we consider the navigation problem of a network of UAVs to effectively monitor a group of ground targets which move along a curvy road. A surveillance optimization problem is stated, and a distributed navigation algorithm for the UAV network is developed. It is proved that the proposed algorithm is locally optimal. Simulations confirm the effectiveness of the proposed navigation algorithm.
Fragility of asymptotic agreement under Bayesian learning

Under the assumption that individuals know the conditional distributions of signals given the payoff-relevant parameters, existing results conclude that as individuals observe inﬁnitely many signals, their beliefs about the parameters will eventually merge. We ﬁrst show that these results are fragile when individuals are uncertain about the signal distributions: given any such model, vanishingly small individual uncertainty about the signal distributions can lead to substantial (nonvanishing) differences in asymptotic beliefs. Under a uniform convergence assumption, we then characterize the conditions under which a small amount of uncertainty leads to signiﬁcant asymptotic disagreement. What happens if an individual observes a frequency ρ a of a - signals different from ˆ p and 1 − ˆ p in a large sample of size n ?
MiR-486-5p represses chondrocyte multiplication but facilitates their deaths in congenital microtia through aiming at H3F3B

Background MicroRNAs have been reported to play important roles in the development of external ear. The present study was designed to explore the expression patterns and biological function of miR-486-5p in congenital microtia. Methods Cartilage tissue specimens were collected from congenital microtia cases who received reconstructive ear surgeries, while the normal cartilage tissues from other otology surgeries were adopted as normal controls. The relative expression of miR-486-5p was investigated by quantitative-real time polymerase chain reaction. The potential target of miR-486-5p was explored by TargetScanHuman 7.2 and dual-Luciferase reporter assay. MTT and flow cytometry assays were adopted to investigate cell proliferation and apoptosis, respectively. Results The expression of miR-486-5p was significantly up-regulated in microtia cartilage tissues. Knockdown of miR-486-5p in microtia chondrocytes enhanced proliferation and inhibited apoptosis. H3F3B might be a target of miR-486-5p, and miR-486-5p could regulate proliferation and apoptosis of microtia chondrocytes by targeting H3F3B. Moreover, the enforced expression of H3F3B could re-turned the function of miR-486-5p in microtia chondrocytes. Conclusion Up-regulation of miR-486-5p may inhibit microtia chondrocytes proliferation and promote apoptosis by targeting H3F3B.
Boundary Integral Equation Method for Electrostatic Field Prediction in Piecewise-Homogeneous Electrolytes

This article presents a boundary integral equation formulation for the prediction of electrostatic fields, potentials, and currents in regions comprising piecewise-homogeneous electrolytes. The integral equation is formulated in terms of the boundary electric potentials and normal electric current densities and is discretized using the locally corrected Nyström method. The method is validated by comparison to analytic solution data for both linear and nonlinear canonical problems. Solution convergence is investigated with respect to mesh discretization and basis order.