Miracle-dz/UniFAR-FTUs huggingface dataset:
The stability and pull-in voltage of electrostatic parallel-plate actuators in liquid solutions

This paper deals with parallel-plate electrostatic actuators in liquids. We study the stability conditions of such actuators and show that the pull-in effect can be shifted beyond one-third of the gap, and can even be suppressed. We demonstrate that the insulating layers of the actuator plates, which are originally designed to avoid any current leakages or short-circuits, play a major role in this phenomenon. Experiments are performed on fabricated devices; silicon nitride layers are used to completely encapsulate the actuator plates. The voltages required to close the actuator gap are measured in various liquids and compared to the values obtained by analytical calculations. This study gives guidelines for the design of parallel-plate actuators featuring in liquids either a binary-state operation when the pull-in effect occurs, or a continuous displacement within the full gap.
Dynamic Wavelet Neural Network for Nonlinear Identification of Highrise Buildings

Abstract: Recently, the authors presented a multiparadigm dynamic time‐delay fuzzy wavelet neural network (WNN) model for nonparametric identification of structures using the nonlinear autoregressive moving average with exogenous inputs. Compared with conventional neural networks, training of a dynamic neural network for system identification of large‐scale structures is substantially more complicated and time consuming because both input and output of the network are not single valued but involve thousands of time steps. In this article, an adaptive Levenberg–Marquardt least‐squares algorithm with a backtracking inexact linear search scheme is presented for training of the dynamic fuzzy WNN model. The approach avoids the second‐order differentiation required in the Gauss–Newton algorithm and overcomes the numerical instabilities encountered in the steepest descent algorithm with improved learning convergence rate and high computational efficiency. The model is applied to two highrise moment‐resisting building structures, taking into account their geometric nonlinearities. Validation results demonstrate that the new methodology provides an efficient and accurate tool for nonlinear system identification of high‐rising buildings.
ESTRATÉGIA, COMPETÊNCIAS E APRENDIZAGEM: O CASO DE UM SUPERMERCADO NA CIDADE DE SOROCABA

RESUMO Este trabalho examina a articulacao entre estrategia, competencias e aprendizagem, tomando por base o caso de um supermercado na cidade de Sorocaba. O artigo define a aprendizagem como a mudanca de crencas que impacta nas estrategias, e discorre sobre como as competencias se embasam em percepcoes de valor de clientes — os fatores criticos de sucesso (FCS). Para apreender os FCS no caso em questao, utilizou-se a Matriz Trade-off, que possibilitou definir preferencias de um conjunto de pessoas em relacao a um dado conjunto de variaveis. O experimento envolveu a investigacao de preferencias de duzentos clientes de um supermercado em relacao a sete atributos relacionados a prestacao de servicos. A pesquisa revelou o desalinhamento entre o que a empresa considerava competencia e o que os clientes de fato valorizavam. A constatacao desencadeou um processo de aprendizado com substituicao de crencas, reorientacao estrategica e investimento em novas competencias de negocio. Outro ponto a ser verificado e a utilizacao da Matriz Trade-off como tecnica de pesquisa adequada a Micro e Pequenas Empresas, em razao de seu custo baixo e de nao serem necessarias tecnicas apuradas de conhecimento tecnologico para seu emprego, o que torna os resultados confiaveis e capazes de alterar a estrutura de aprendizagem de Micro e Pequenas Empresas.
Design of high efficiency rectifier at 2.45 GHz using parasitic canceling circuit

In this article, high efficiency rectifiers using parasitic canceling circuits are presented at 2.45 GHz. Input matching circuit and DC filter, which are the basic sub‐blocks of rectifiers, are designed for high efficiency operation. Then, the parasitic canceling circuit is designed and inserted between the rectifying diode and DC filter such that the parasitic elements of the diode is properly canceled out to minimize the harmonic generations and maximize the efficiency. For this purpose, the equivalent circuit of the diode is extracted, and the impedances seen by the intrinsic diode resistance are investigated at harmonic frequencies. To verify the suggested idea, two rectifiers with parasitic canceling circuits are demonstrated at 2.45 GHz, that is, low power rectifier (LP rectifier) which is optimally designed for low input power (lower than 0 dBm), and high power rectifier (HP rectifier) for high input power (higher than 0 dBm). The measurement of LP rectifier shows efficiency of 60% at the input power of 0 dBm. The HP rectifier achieves the maximum efficiency of 72% at the input power of 10 dBm. Both results belong to the excellent performance among the reported rectifiers at the same frequency. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:608–611, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27381
Equipamento portátil para ensaios simultâneos de teste de vigilância psicomotora e pupilometria

This paper describes a system with potential for identification of sleep deprivation, which, based on our bibliographical survey, has not yet been described in the literature. The system combines two methodologies, i. e. , Psychomotor vigilance test (PVT) and pupillometry, which are among the leading methods for the study of sleep deprivation. However, due to peculiarities of both methodologies, some adaptations were made in their procedures to allow them to co-exist in the same system. Such integration may not only ensure the complementarity of indexes, making the identification of sleep deprivation more solid, but also set up the equalization of the subject's psycho-physiological state, which is not possible in tests performed with a time lag. In this study, the performance of measurements provided by the system was assessed in subjects on alert. However, some measurements present a displacement with respect to their average values, which, according to assessment, are determined by system's technical requirements. The results obtained in this assessment, combined with the increasing demand for large scale application tools, able to be used outside the limits of the laboratory environment for studies in sleep deprivation disorders, point to this system as a potential tool. However, the undertaking of a rigorous experiment is necessary to assess whether the indexes obtained by the system allow the robust identification of sleep deprivation.
Reviewer 2

Thank you very much for the opportunity to revise our manuscript “Connectivity Concepts in Neuronal Network Modeling” as suggested in your email from 14 December 2021. Please find enclosed our detailed responses to the points raised by the reviewers together with the revised manuscript. Changes compared to the previous submission are shown in blue with a reference to the corresponding reviewer’s point as a superscript.
Recent Developments in the Control of Distributed Electrical Generation Systems

Successful operation of distributed generation systems requires controls that can integrate building load, electric generator, and grid information in near real time to produce optimal set points for the generator and the HVAC system(s) in the building(s) served by a given generation system. This paper discusses recent developments for distributed generation control in commercial buildings in the context of the U.S. utility industry. Several examples using different building types in different geographical regions of the U.S. are used to show how optimal and near-optimal control provide an economic benefit above simple threshold control. The examples are selected to illustrate the technical approach to system control using typical system characteristics and costs; every system in every location will have its own unique set of control criteria. The objective of this article is to describe the approach, not to solve specific problems.
Rethinking reliability engineering using machine vision systems

Condition monitoring of rolling stock has been part of the railway landscape for the past decade; thermal, acoustic and light sensors are used to capture fleet information on bearings, brakes, wheels, under-carriage and body. The data generated from these sensors has helped rail operators direct their maintenance efforts to the components of highest priority; however, in most cases it has not triggered a fundamental philosophical change in the maintenance strategy. Rail operators generally use time-based maintenance interventions to ensure fleet reliability and safety. Technology is enabling rail operators to take advantage of the benefits of moving from a time-based maintenance regime to a condition-based regime. However, technology simply provides the tools. The benefits of higher reliability and lower costs can only be realized when the organizational culture adapts to make best use of the technology. This paper will discuss the technology that can be deployed to enable a condition-based culture and some of the organizational issues that need to adapt to the new technology. The observations in this paper are not based on a structured research program, but rather are observational, based on out daily dealings with several rail operators around the world.
Design and field-weakening performance of permanent-magnet/reluctance motor with two-part rotor

A synchronous motor with two-part rotor is described whose rotor comprises a surface-magnet part and a reluctance part mounted adjacent to each other on the same axis. An axially laminated construction is used in the reluctance part to achieve a high saliency ratio. Machine parameters and physical design details are selected to obtain constant-power characteristics over a 3:1 speed range by field-weakening. Test results demonstrate the achievement of the desired characteristics, in good agreement with computed predictions. The two-part rotor construction is thus a candidate for applications such as electric vehicles.
Inverse Analysis of Aesthetic Evaluation of Planted Concrete Structures by Neural Networks

Scenery evaluation depends on the evaluator's experiences or perceptions. Thus inverse analysis by neural networks of scenery evaluation of planted concrete structures (concrete retaining walls) was examined in this study. In addition, in order to identify the evaluation schemes of evaluators, sensitivity analysis was performed on the obtained neural network structure. The efficacy of neural network inverse analysis and genetic algorithm analysis using fuzzy‐set theory in reproduction of the same scenery evaluation questionnaire's results also was compared.
Research of Integration of Setting Calculation System

This paper expounds the main structure design and function implementation of a provincial power grid relay protection setting calculation integration system. In accordance with the actual features of the relay protection setting calculation work, setting calculation system is developed based on the project. For the development and research of integration of setting calculation system, to achieve a certain provincial power grid relay protection setting calculation and the standardization of the operation and management, network and intelligent, is of great significance.
Damage Detection in Bolted Space Structures

To overcome the current limitations of satellite operation timelines, responsive space satellites are being developed for rapid configuration and assembly. Time spent for assembly, integrating, and verifying a satellite ready for launch and on-orbit operations must be reduced to less than a week. Structural health monitoring is seen as a possible avenue for real-time assessment of satellite integrity and qualification before launch. Embedded ultrasonics and magneto-mechanical impedance (MMI) are considered as potential candidates for diagnostics of critical system elements. Piezoelectric wafer active sensors in conjunction with acousto-elastic SHM methods are used for assessing aerospace structures with bolted joints. In the present analysis, the acousto-elastic behavior of the joint is used as an indicator of structural integrity. Experimental data show changes in the acoustic signal phase as a result of differing bolt torques. Localization potential of the acousto-elastic technique is demonstrated in a complex structure analogous to a typical satellite panel. The MMI method has shown utility in assessing the condition of bolted joints in complex satellite structures. Experimental data reveal changes in position of impedance peaks induced by the difference in structural loads applied to the joint. Repeatability of the MMI measurements is evaluated and spectral energy representation suitable for automation of MMI diagnostics is suggested. It is advocated that both the acousto-elastic and MMI methods have indicated possibilities for detecting and characterizing damage in satellite bolted joints.
An Improved Mean-Variance Optimization for Nonconvex Economic Dispatch Problems

This paper presents an efficient approach for solving economic dispatch (ED) problems with nonconvex cost functions using a ‘Mean-Variance Optimization (MVO)’ algorithm with Kuhn-Tucker condition and swap process. The aim of the ED problem, one of the most important activities in power system operation and planning, is to determine the optimal combination of power outputs of all generating units so as to meet the required load demand at minimum operating cost while satisfying system equality and inequality constraints. This paper applies Kuhn-Tucker condition and swap process to a MVO algorithm to improve a global minimum searching capability. The proposed MVO is applied to three different nonconvex ED problems with valve-point effects, prohibited operating zones, transmission network losses, and multi-fuels with valve-point effects. Additionally, it is applied to the large-scale power system of Korea. The results are compared with those of the state-of-the-art methods as well.
Ozone by‐product removal using a fixed bed biofilm reactor

The removal of biodegradable ozone by‐products was evaluated at pilot scale using a fixed‐bed biofilm reactor (FBBR) containing spherical plastic support media. Six FBBRs were operated in parallel with different media sizes (1‐, 1.25‐, or 2‐in. diameter) and empty bed contact times (6 or 12 min). Influent water was provided from a full‐scale water treatment plant after ozonation, coagulation, and flocculation processes. After seven months of operation, pseudosteady‐state conditions were achieved with up to 50% removal of assimilable organic carbon and up to 40% reduction in ultraviolet absorbance at 254 nm. Increases in FBBR effluent turbidity and head loss were also indicative of biomass development and sloughing. Process efficiency deteriorated because of the consumption of the biomass by snails and other invertebrates.
Transient Heat Conduction Problems in Power Cables Solved by the Finite Element Method

This paper presents the use of the finite element method in the solution of thermal transient problems. The thermal transients in a 275 kV oil/paper insulated buried power cable system is calculated when the load current has a prescribed variation with time. The dielectric loss and shield loss are taken into account. The results are presented and commented. The finite element method has definite advantages over the finite difference method for this application.
Development of an intelligent logistics fleet management system: an integrated approach

For Small-and Medium-Sized Enterprise (SME) logistics service providers, delivery and transportation management is usually based on simple communication systems such as the use of fax, mobile phone, etc. This causes time delays to occur more frequently for SMEs than would be the case with an asset-based organisation. Moreover, the absence of well developed logistics management systems exacerbates the situation. In fact, the continuous increase in efficiency of delivery in Hong Kong and Pearl River Delta Region has driven many logistics service companies to integrate mobile technologies with their fleet management system for tracking orders in a real time situation. This paper describes an Intelligent Logistics Fleet Management System (ILFMS) for third party logistics providers using the integration of mobile technologies, the application of Global Positioning System (GPS) and a Rule-Based Expert System (RBES) for route optimisation. By applying ILFMS in Extrans International (HK) Limited, it is found that dispatching efficiency is greatly enhanced.
Autopilot Design Method for the Blended Missile Based on Model Predictive Control

This paper develops a novel autopilot design method for blended missiles with aerodynamic control surfaces and lateral jets. Firstly, the nonlinear model of blended missiles is reduced into a piecewise affine (PWA) model according to the aerodynamics properties. Secondly, based on the equivalence between the PWA model and mixed logical dynamical (MLD) model, the MLD model of blended missiles is proposed taking into account the on-off constraints of lateral pulse jets. Thirdly, a hybrid model predictive control (MPC) method is employed to design autopilot. Finally, simulation results under different conditions are presented to show the effectiveness of the proposed method, which demonstrate that control allocation between aerodynamic control surfaces and lateral jets is realized by adjusting the weighting matrix in an index function.
Variation of microstrip impedance with strip thickness

The letter indicates the way in which the characteristic impedance of single and coupled microstrip can vary with strip thickness, and points out that, in many cases of current practical interest, in both computer-circuit and microwave technologies, such variation is too large to be ignored without giving rise to serious error. Some typical graphs are given to illustrate this.
Si-ULSI with a scaled down future

Semiconductor technology in the 21st century will undergo major changes due to the significant material, engineering, and fundamental limits being approached as a consequence of scaling. Lithography is anticipated to undergo a radical change from optical to nonoptical. Device architecture and interconnects are also expected to undergo major changes in materials, structure, and fabrication technology.
The effects of sampling delays and nonideal filtering on the performance of matrix converter modulation algorithms

In a practical matrix converter, performance is degraded by effects that are not predicted when the normal simplifying assumptions are made. This paper identifies, explains and quantifies these effects. Particularly important is the potential for generation of low frequency harmonics at both the input and output ports due to switching ripple at the other port.
Using a multiple-GA method to solve the batch picking problem: considering travel distance and order due time

Warehousing involves all activities related to the movement of goods such as receiving, storage, order picking, accumulation, sorting and shipping within warehouses or distribution centres. Among these activities, order picking is the most costly process because its operations are labour-intensive and repetitive. In this paper, we propose a batch picking model that considers not only travel cost but also an earliness and tardiness penalty to fulfil the current complex and quick-response oriented environment. This model is solved using a multiple-GA method for generating optimal batch picking plans. The core of the multiple-GA method consists of the GA_BATCH and GA_TSP algorithms. The GA_BATCH algorithm finds the optimal batch picking plan by minimizing the sum of the travel cost and earliness and tardiness penalty. The GA_TSP algorithm searches for the most effective travel path for a batch by minimizing the travel distance. To exhibit the benefits of the proposed model a set of simulations and a sensitivity analysis are conducted using a number of datasets with different order characteristics and warehouse environments. The results from these experiments show that the proposed method outperforms benchmark models.
Detecting Drivers’ Stress in Emergency Using Physiological Sensors

This paper presented methods for collecting and analyzing heart rate data during virtual-world driving task in emergency to distinguish and assess a driver’s stress state. The primer study had developed the driver stress training system loaded on driving simulator to display 14 typical emergency scenarios in different road environment. Electrocardiogram was recorded continuously by Physiological Sensors while drivers followed a random simulated driving on the driving simulator. Data from 30 drivers of at least 10 times per scenario were collected for analysis. The data were analyzed in two ways of HRV (Heart Rate Variability) analysis. Analysis I used time domain indexes of data during the driving in the whole training to distinguish the stress occur during the time frame of the scenario with an accuracy of over 98% across multiple drivers and driving days. Analysis II compared frequency indexes of data in stress state in emergency and in clam, with a metric of observable stressors created by the scenarios. The results showed that heart rate metrics is most closely correlated with driver stress level for most drivers studied. These findings confirmed that heart rate signals can provide a metric of driver stress in future cars capable of physiological monitoring. Such measurement could be used to help manage non-critical and critical in-vehicle information systems and could also provide a continuous measure of how different road and traffic conditions affect drivers. Physiological sensors can be used in driving assistance system in future.
Hypermethylation of PRKCZ Regulated by E6 Inhibits Invasion and EMT via Cdc42 in HPV-Related Head and Neck Squamous Cell Carcinoma

Simple Summary HPV+ and HPV- HNSCC share distinct epigenetic characteristics and clinicopathological features. The aim of our study was to assess whether DNA methylation plays a role in the progression of HPV+ HNSCC. We used a HumanMethylation450 BeadChip array (Illumina) to identify PRKCZ genes exhibiting different levels of DNA methylation between HPV+ and HPV- HNSCC. PRKCZ acts as a potent tumor promoter in HPV+ HNSCC. These findings may provide a possible explanation for the differences in the clinicopathological characteristics between HPV+ and HPV- HNSCC and promising ideas for the treatment of HPV+ HNSCC. Abstract Purpose: To study the role of target genes with aberrant DNA methylation in HPV+ HNSCC. Methods: A HumanMethylation450 BeadChip array (Illumina) was used to identify differentially methylated genes. CCK-8, flow cytometry, wound healing, and cell invasion assays were conducted to analyze the biological roles of PRKCZ. Western blot, qRT-PCR, immunohistochemistry, and animal studies were performed to explore the mechanisms underlying the functions of PRKCZ. Results: We selected PRKCZ, which is associated with HPV infection, as our target gene. PRKCZ was hypermethylated in HPV+ HNSCC patients, and PRKCZ methylation status was negatively related to the pathological grading of HNSCC patients. Silencing PRKCZ inhibited the malignant capacity of HPV+ HNSCC cells. Mechanistically, HPV might promote DNMT1 expression via E6 to increase PRKCZ methylation. Cdc42 was required for the PRKCZ-mediated mechanism of action, contributing to the occurrence of epithelial-mesenchymal transition (EMT) in HPV+ HNSCC cells. In addition, blocking PRKCZ delayed tumor growth in HPV16-E6/E7 transgenic mice. Cdc42 expression was decreased, whereas E-cadherin levels increased. Conclusion: We suggest that PRKCZ hypermethylation induces EMT via Cdc42 to act as a potent tumor promoter in HPV+ HNSCC.