Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of temporal complexity in functional MRI between rest and task conditions

Dynamic models of cortical activity, as measured by functional magnetic resonance imaging (fMRI), have recently brought out important insights into the organization of brain function. In terms of temporal complexity, these hemodynamic signals have been shown to exhibit critical behaviour at the edge between order and disorder. In this study, we aimed to revisit the properties and spatial distribution of temporal complexity in resting state and task fMRI of 100 unrelated subjects from the Human Connectome Project (HCP). First, we compared two common choices of complexity measures (i.e., Hurst exponent versus multiscale entropy) and reported high similarity between them. Second, we investigated the influence of experimental paradigms and found high task-specific complexity. We considered four mental tasks in the HCP database for the analysis: Emotion, Working memory, Social, and Language. Third, we tailored a recently-proposed statistical framework that incorporates the structural connectome, to assess the spatial distribution of complexity measures. These results highlight brain regions including parts of the default mode network and cingulate cortex with significantly stronger complex behaviour than the rest of the brain, irrespective of task. In sum, temporal complexity measures of fMRI are reliable markers of the cognitive status.
Adaptive Dynamic Surface Control of a Supersonic Flight Vehicle

The design of a nonlinear adaptive dynamic surface controller for the longitudinal model of a hypothetical supersonic flight vehicle is considered in this work. The uncertain nonlinear functions in the strict feedback flight vehicle model are approximated by using radial basis function neural networks. A detailed stability analysis of the designed angle-of-attack controller shows that all the signals of the closed loop system are uniformly ultimately bounded. The performance of the designed controller is verified through numerical simulations of the flight vehicle model.
Depassivation of latent plasma damage in nMOSFETs

Indispensable in CMOS manufacturing, plasma treatments may result in a latent damage in gate oxides. We propose a method to detect this latent damage as a function of the area of the multifingered metal pad connected to the gate, by using an experimental method based on constant current stress and oxide trapped charge measurements. We measured a power law behavior describing the dependence of the trapped charge on the injected charge.
PalletPicker‐3D, the solution for picking of randomly placed parts

It is now possible to pick randomly placed parts from a bin automatically. SVIA have developed a patented bin‐picking system that is general and easy for the operator to teach. It is possible because of the combination of a high precision optical 3D‐measuring technique, modern image processing and six‐axis robot technology.
Filipino Teachers of English and Native English Teachers: Learners’ Perceptions

Since learning English from Filipino Teachers of English (FTEs) has gained popularity, this research investigated learners’ perceptions of the difference between FTEs and native English teachers (NETs) by conducting semi-structured interviews at two English language schools that have both FTEs and NETs. Many learners felt that FTEs were better at explaining grammar explicitly and comprehensibly, while others said that they could better improve their listening and pronunciation skills with NETs since they spoke faster and with more phonological changes and colloquial expressions. However, some felt more comfortable talking to FTEs, since their English was easier to understand. Additionally, some believed that the pronunciation of NETs was better simply because they were native speakers. One of the schools had an NET who was trained in teaching how to articulate English phonemes. His students noted that NETs were better at teaching pronunciation. However, this view was not shared by learners from other schools. Some reported that FTEs were easier to befriend, though this was because the learners and their teachers belonged to similar age groups. Some mentioned that FTEs, who are also English learners, were more passionate about teaching, understanding, and helping learners, while only one student claimed that NTEs were more serious teachers. A few were more motivated by NETs solely because they admired native speakers. In summary, the participants of this study generally considered FTEs to be better, although some individual differences were observed. The results suggest the importance of teacher training and teachers’ experience in learning a second/foreign language.
Generic systolic array for genetic algorithms

The authors present a systolic design for a simple GA mechanism which provides high throughput and unidirectional pipelining by exploiting the inherent parallelism in the genetic operators. The design computes in O(N+G) time steps using O(N2) cells where N is the population size and G is the chromosome length. The area of the device is independent of the chromosome length and so can be easily scaled by replicating the arrays or by employing fine-grain migration. The array is generic in the sense that it does not rely on the fitness function and can be used as an accelerator for any GA application using uniform crossover between pairs of chromosomes. The design can also be used in hybrid systems as an add-on to complement existing designs and methods for fitness function acceleration and island-style population management.
Effects of Strength Training on Blood Pressure and Heart Rate Variability—A Systematic Review

ABSTRACT Strength training (ST) has been studied for acute and chronic effects on blood pressure (BP) and heart rate variability (HRV). These effects have never been reviewed collectively concerning the variables that comprise a ST program. Therefore, this review aims to examine the manipulation of ST variables (i.e., load intensity, number of sets and repetitions, exercise order, and rest interval length) on BP and HRV after a session and a long-term program. The BP reduced significantly after an ST session independently of the load intensity, the number of sets and repetitions, the rest interval length, the mode, and the participant characteristic (healthy patients or patients with chronic disease). However, a high number of sets and repetitions, prioritizing multijoint exercises, with longer rest interval lengths between sets and exercises may potentiate these effects. In the HRV analyses, most of the trials showed a sympathetic predominance after an ST session. Hence, it is reasonable to confirm that central adjustments are responsible to control hemodynamics after an ST session.
Forward converter analysis by the method of coupling electromagnetic field with hysteresis and circuit equations

This paper presents a new method to analyze a forward converter. A high frequency transformer is coupled with the forward converter electric circuit and then the finite element analysis considering a hysteresis phenomenon of magnetic core is carried out when the primary or the reset winding conducts current. The analytical method is used to reduce the computation time when the reset winding circuit of the transformer turns off. As a result, the simulation results show a good agreement with experimental ones.
Evaluating Improvements in Landside Access for Airports

Access to airports has become increasingly difficult, but the extent of the problem is not known. No method exists to consistently define the performance of landside access that is provided to air passengers. A national survey of U.S. airport authorities was conducted to determine the characteristics of airport access services provided. The results of the survey indicate that landside access to airports is a major concern at airports of all sizes, but there is no significant difference in reported access problems at large, medium, and small airports. An access evaluation methodology was developed to assess landside access service between approaches to the airport and the terminal entrance and is based on performance measures relating to cost, time, reliability, convenience, and quality. It is intended to aid in the assessment of landside access performance and to promote more effective use of limited resources by determining the most needed and beneficial access improvements. This evaluation methodology was demonstrated by investigating landside access facilities at the Richmond International Airport. The methodology is flexible and may accommodate airports with a wide range of assessment needs and resources. Furthermore, the evaluation process corresponds to existing airport planning, requires no special training to complete, and may be undertaken in cooperation with master plan efforts. It is recommended that the evaluation methodology be incorporated into access fund appropriation processes as a consistent means of evaluating performance, identifying access needs, and evaluating potential access improvements.
AUDIO SONGS CLASSIFICATION METHODS BASED ON FACIAL EMOTION USING LOW AND HIGH LEVEL FEATURES

: Music is an amusing sound that leads us to experience peace and happiness. One of the fine arts today is music. Music digitalization provides us to access easily the different kinds of music. We often choose to listen to a song or music which best fits our mood at that moment, by means of features of music the mood of a song can be expressed. Most of the music software present today are lacking for providing the facility of mood-aware play-list generation. Manually choosing songs list suiting a specific mood or occasion by music listeners may be time consuming, that can be avoided by annotating songs with the relative emotion category. Here, work involves analysis of various features in order to learn, train and test the model representing the moods of the audio songs. Some of the basic components are to be considered for music emotion classification audio feature consists of feature set belong to groups dynamic, rhythmic, spectral, and harmonic. Support Vector Machine (SVM) is used as classifiers to classify the music mood recognition.
Recursive method for modelling metallic boundaries using TLM method

The use of a dispersive reflection coefficient concept in the TLM-method to model conductor boundaries is described. An efficient implementation of this approach, based on the recursive proprieties of convolution with exponentials, is presented. The reflection of plane waves on a lossy conductor wall is modelled over a wide frequency range, and the TLM simulations are compared to the theoretical results.
Effects of treatment of fresh rice straw on its nutritional characteristics

Treatment of fresh rice straw right after harvesting was tried as an effort for preservation together with improvement of its feeding value for better utilization as roughage. Fresh straw was ensiled with either urea (1, 1.5, and 2% w/w) or molasses (1, 2, and 3% w/w) in small silos for different lengths of time (30, 60, and 90 days). Evaluation was made based on color, mold, smell, pH, chemical composition (DM, CP, ADF, NDF, ADL, ash) as well as in-sacco degradation characteristics (A, B, c, and L). It was found that making silage of fresh straw without addition of molasses resulted in extensive mold development and could not reduce pH low enough for good preservation (pH>4.9). Addition of 3% molasses reduced pH low enough ( 8), dramatically increased crude protein, significantly reduced NDF with improved in-sacco degradability of straw. The higher the level of urea was applied the better the effect was found. It is therefore recommended that fresh rice straw be treated with 1.5-2% urea for long-term preservation and improving its feeding value.
Monitoring low dose implants with advanced ThermaWave and capacitance-voltage

In this work a performance evaluation of some of the most recently improved instruments for low implant dose measurement based on Therma-Wave and Capacitance-Voltage techniques has been carried out. Dose sensitivity and repeatability has been investigated on a TW-TP420, TW-TP500, CV SSM5100, and a R&D Therma-Probe system. Results indicate that both types of tool have improved significantly in terms of repeatability due to the introduction of a solid state laser and of Hg probes in the TW and CV tool respectively. This in turn results in lower dose detectability required to tightly control threshold voltages in current DRAM technologies.
A new type of artificial larynx using a PZT ceramics vibrator as a sound source

Various speech production substitutes which aim to reconstruct speech functions have been developed and used practically, for vocalization-handicapped persons. However, current speech production substitutes have problems, and it is hoped that perfect speech production substitutes are developed. We pay attention to a PZT ceramics vibrator as a sound source of an artificial larynx. We try to produce the artificial larynx which uses a PZT ceramics vibrator, and we evaluate the performance. The power spectrum of the produced artificial larynx user's voice is similar to that of a nonhandicapped person's voice. The vocalized sound of the produced artificial larynx user shows good characteristics at formant frequency, which is important for vowel discrimination. Based on the result of listening estimation, this voice has good clarity. We hope that the proposed artificial larynx will be widely used in the future.
A Magnetic Design Method of MR Fluid Dampers and FEM Analysis on Magnetic Saturation

The research on magnetorheological (MR) damping technology is booming in recent years. Especially on application to vehicles, both good ride comfort and steering stability must be taken into account. Accordingly, high scalability of MR dampers and their magnetic design are of significance. In this article, the magnetic design of an MR damper is proposed, and a finite element (FE) analysis on the magnetic saturation is discussed for the utmost improvement of the high force. Through experimental verification, the damper force is effectively scaled by the magnetic design.
From Compliance to Improvement: How School Leaders Make Sense of Institutional and Technical Demands When Implementing a Continuous Improvement Process

Purpose: A recurring frustration in educational research is the tendency for school leaders to implement reforms in ways that prioritize compliance over more substantive improvements to practice. Drawing on new institutional theory and sensemaking theory, this article explores the different ways leaders respond to continuous improvement (CI) reforms and why they frequently privilege external compliance over the perceived needs of their schools. Methods: This study used interviews, observations, and artifacts to analyze how six leaders across two midwestern school districts led the implementation of a CI method. Data analysis involved an iterative process of identifying emergent themes, refining themes based on existing research, and evaluating their usefulness in explaining differences within and across school leaders, in order to understand the different ways leaders responded to CI and what factors caused them to prioritize compliance over substantive improvement. Findings: Findings illuminate six different responses to CI that vary across three dimensions: whether leaders prioritize bridging or buffering, the form or the function of reform, and concerns for external legitimacy or internal improvement. Leaders’ professional identities, their beliefs about the usefulness of CI, and their perception of district regulation contributed to whether they implemented CI in a way that prioritized concerns for legitimacy over improvement. Implications: These findings trace the shallow reach of recent reform efforts to the ways leaders make sense of the complex institutional and technical demands of their role, offer an integrative typology of leaders’ different approaches to implementation, and identify factors that support more productive responses to district reform.
700 V ultra-low on-resistance DB-nLDMOS with optimised thermal budget and neck region

An ultra-low R on,sp 700 V DB-nLDMOS (dual P-buried-layer nLDMOS) which uses 0.35 μm technology and full ion implantation technology is proposed. Experimental results show that with 800 V BV ds, R on,sp is only 10.7 Ω · mm2 which is the lowest value of triple RESURF (REduce SURface Field) LDMOS reported before. This mainly benefits from two aspects. First, thermal budgets of the process are strictly limited after implantation of the Pbury layer. Secondly, device sizes of the neck region are optimised to reduce R on,sp which also suppress the JFET effect of the triple RESURF LDMOS.
Implementation of IPv6 Network Testbed: Intrusion Detection System on Transition Mechanism

The potential of internet protocol version 6 (IPv6) cannot be denied as compared to the current network protocol (IPv4). The IPv6 ability which is offering huge amount of IP addresses has makes it being awaited by the Internet user. To make the IPv6 implementation successfully, a transition mechanism is needed to simplify the migration process between IPv4 to IPv6. The transition mechanism is created to support the joint operation between these protocols. However, after several years of implementation, it is believed that this mechanism has become an alternative route for intruders and attackers to penetrate the existing network. The problem kept remains without even being detected by any detection tools. Based on this problem, this study proposed an IPv6 network testbed for dealing with designation and implementation of Intrusion Detection System (IDS) on transition mechanism environment. All the equipments, tools and network are configured based on real process of transmitting IPv6 packets over IPv4 network. With fully functional operation for handling basic transition between IPv6 clients over IPv4 networks and equipped with intrusion detection tools, the testbed is used for investigating the intrusion activities behavior on the transition mechanism in the real environment. The result obtained from the testing phase shows the efficiency and the functionality of all hardware and software used. Moreover, the implementation of the testbed is expected to contribute to the realization of IPv6. Â© 2011 Asian Network for Scientific Information.
The Research in Satellite Television Channel Landing Fee of China Based on PageRank Algorithm

While providing signal transmission services for stv channels (satellite television channels), catv operators in the area of broadcast and television in China raised a controversial issue about the standard of charging channel operators landing fee. To address the problem, this passage suggests a proposal about charging landing fee according to the seat value, which assessing each channel’s seat value based on the data of the audiences and the pagerank algorithm as the index. The result shows that our proposal improved the audience rating of channel while bringing a greater economic benefit to catv operators compared with the traditional standard of charging fixed landing fee.
Personal and Social Deixis as A Political Campaign Strategy Used in Donald Trump’s Rally

The use of personal and social deixis often has a crucial role in political speeches. This study investigated how personal deixis was used as a strategy to get other people’s support in Donald Trump’s presidential campaign speech. The object of the study was Trump’s speech in his presidential rally on October 10, 2020, and the data were the personal and social deixis in the speech. The occurrences of deixis were counted to reveal the parties to whom Trump gave his attention, and an analysis of the words used was conducted to see Trump’s attitudes toward the parties addressed by the deixis. The study revealed that Trump used personal deixis more than social deixis. There were five big parties to which he gave his attention using the deixis: the audience, Trump himself, the USA and its people, his opponents, and his party and government. Using the deixis, Trump also showed a positive attitude to his side and a negative attitude to the opponents. His use of personal and social deixis was also used as a campaign strategy. The deixis created inclusiveness, positioned Trump in different roles, showed support from several American communities, and influenced the audience’s attitude toward Trump’s opponents.
Using Principal Components Analysis to Determine Differences in 3D Loading Patterns Between Beginner and Collegiate Level Golfers

Traditionally, golf research and instruction have focused on the kinematics of the golf swing; while relatively little attention has been paid to the three-dimensional (3D) golf ground reaction forces (GRF). These GRF profiles are waveforms representing the change in these forces throughout the golf swing. If they are just represented by a few discreet variables, much of the variability is lost. Therefore, this study used Principal Components Analysis (PCA) to determine 3D GRF differences between the golf swing of 23 beginners and 18 NCAA collegiate golfers. Six GRF waveforms were analyzed (3D GRFs for the lead/trail legs) and each waveform required 5 principal component (PC) scores to represent at least 90% of variability in the curves. Of the 30 PC scores analyzed, 6 of them were found to be significantly different between the Collegiate and Beginner golfer. The differences which represented the most variability occurred in the vertical forces, but there were also key differences in the shearing forces.
Dynamic voltage restorer based on multilevel inverter with adjustable dc-link voltage

Dynamic voltage restorer (DVR) is a power electronic converter-based custom power device used to compensate for voltage variations. The inverter used in the DVR structure can have different topologies. Multilevel inverters are a good candidate to be used in the DVR structure especially in higher voltage level. This study proposes a new scheme for DVR based on a multilevel inverter. In the proposed DVR, a dc-dc converter is attached to the multilevel inverter. The dc-link voltage is regulated by the dc-dc converter considering the voltage sag magnitude. In this way, the output voltage of the multilevel inverter has always its maximum possible number of levels. This results in better quality of output voltage in both deep and shallow voltage sags. It is important to emphasise that the existing inverter-based DVR topologies do not have this capability. Also, in the proposed DVR, there is no need for an output filter. Moreover, the fundamental frequency control method for the multilevel inverter can be used instead of pulse width modulation-based methods. This can result in lower switching losses and lower switching stresses. The mathematical analysis of the operation range of the proposed DVR is given in detail. The simulation results using Power System Computer Aided Design/Electromagnetic Transient including DC (PSCAD/EMTDC) as well as the experimental results from a laboratory prototype verify the proposed DVR scheme.
Evaluation of Biomedical Imaging in Deep Neural Networks

Whereas the historical background of medical field started in 1895 with Roentgen Wilhelm participating in the first x-rays photograph and proceeded through 1913 with the discovery of mammogram and 1927 with first cerebellar echocardiogram, advanced medicine tomography came into focus in the 1950s with the discovery of PET and ultrasonic image processing. The first computed tomography (CT) scanners was created by Hounsfield Godfrey and CoreMark Allanin 1972, while the first commercialized Magnet Resonance Imaging (MRI) scanners were produced by Raymond Dalmatian in 1977. The creation of general methods and terminology of digitized signal and image processing occurred in tandem with the growth of medical imaging technology in the 1970s and beyond, as well as the advent of digital processors. In an examination of biological applications and analysis in the era of big data and deep learning, this article analyzes background and phraseology: Pattern Classification, Artificial Intelligence, Machine Learning, Big Data.