Miracle-dz/UniFAR-FTUs huggingface dataset:
A dual‐band circular patch antenna using hexagon‐shaped slots

This paper presents the design of a dual‐band circular patch antenna for the application requirements of wireless handheld devices and various wireless sensor modules operating in WiMax and 5G NR Bands. The design originated from a single‐band conventional circular patch antenna and ended up with a dual‐band circular patch. A novel hexagon‐shaped slot was preferred to achieve dual‐band performance in the circular patch antenna. The simulation level performance of the antenna is verified using the Advanced Design System 2019 tool. An FR4 material with a height of 1.6 mm is selected as a substrate for the patch antennas. The return loss and radiation pattern behaviour of the patch antennas are measured using a network analyser and an anechoic chamber. The fabricated prototype achieves dual‐band performance at 3.47 and 6.96 GHz. Simulated and measured results show that the proposed hexagonal‐shaped slot in the circular patch provides a dual‐band behaviour.
Detection of Emotion Categories' Change in Speeches

In the past few years, a lot of research has been conducted to predict emotions from speech. The majority of the studies aim to recognize emotions from pre-segmented data with one global label (category). Despite the fact that emotional states are constantly changing and evolving across time, the emotion change has gotten less attention. Mainly, the exiting studies focus either on predicting arousal-valence values or on detecting the instant of the emotion change. To the best of the authors knowledge, this is the first paper that addresses the emotion category change (i.e., predicts the classes existing in a signal such as angry, happy, sad etc.). As a result of that, we propose a model based on the Connectionist Temporal Classification (CTC) loss, along with new evaluation metrics.
Biological Interaction as a Possible Ultimate Driver in the Local Extinction of Cedrus atlantica in the Iberian Peninsula

The presence of Cedrus atlantica on the European continent, including, especially, the determination of the time of its disappearance from the Iberian Peninsula, is one of the most controversial issues in recent decades regarding the successive extinction of conifers in the Western Mediterranean. This work propounds the possibility that C. atlantica and Pinus nigra could have co-habited in the past, mutually excluding each other in the areas with suitable conditions for both species, where, ultimately, the one that was the most competitive would have remained. The niche overlap in the two-dimensional ecological space was analyzed. In addition, the potential distribution of both species in the Western Mediterranean today and two past periods (Last Glacial Maximum and Mid-Holocene) was modeled to identify their common geographic area of distribution. The species showed very well differentiated niches and a distribution of their habitats virtually segregated by continents since the Mid-Holocene (P. nigra in Europe and C. atlantica in Africa), which responds to differences in climatic affinities. However, the contact of the bordering areas of their distributions in the Baetic mountain range suggests that C. atlantica could have maintained its presence in the Iberian Peninsula until recent times. P. nigra would have displace it in later stages due to its greater prevalence on the continent, so it would have had greater opportunities to occupy the available space.
Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing

Due to the availability of cheap 3D sensors such as Kinect and LiDAR, the use of 3D data in various domains such as manufacturing, healthcare, and retail to achieve operational safety, improved outcomes, and enhanced customer experience has gained momentum in recent years. In many of these domains, object recognition is being performed using 3D data against the difficulties posed by illumination, pose variation, scaling, etc present in 2D data. In this work, we propose three data augmentation techniques for 3D data in point cloud representation that use sub-sampling. We then verify that the 3D samples created through data augmentation carry the same information by comparing the Iterative Closest Point Registration Error within the sub-samples, between the sub-samples and their parent sample, between the sub-samples with different parents and the same subject, and finally, between the sub-samples of different subjects. We also verify that the augmented sub-samples have the same characteristics and features as those of the original 3D point cloud by applying the Central Limit Theorem.
Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence

In this paper, we present an exploratory study conducted to evaluate the impact of temporal dependence modeling on time series forecasting with Data Stream Mining (DSM) techniques. DSM algorithms have been used successfully in many domains that exhibit continuous generation of non-stationary data. However, the use of DSM in time series is rare since they usually are univariate and exhibit strong temporal dependence. This is the main motivation for this work, such that this study mitigates such gap by presenting a univariate time series prediction method based on AdaGrad (a DSM algorithm), Auto.Arima (a statistical method) and features extracted from adjusted autocorrelation function (ACF) coefficients. The proposed method uses adjusted ACF features to convert the original series observations into multivariate data, executes the fitting process using the DSM and the statistical algorithm, and combines the AdaGrad's and Auto.Arima's forecasts to establish the final predictions. Experiments conducted with five datasets containing 141,558 time series resulted in up to 12.429% improvements in sMAPE (Symmetric Mean Average Percentage Error) error rates when compared to Auto.Arima. The results depict that combining DSM with ACF features and statistical time series methods is a suitable approach for univariate forecasting.
Integrating Non-Invasive Brain Stimulation Into the Undergraduate Psychology Curriculum: An Upper-Level Laboratory Course Using Transcranial Direct Current Stimulation

Background Psychology has seen a recent explosion in the use of non-invasive brain stimulation (NIBS) to understand cognition. The prevalence of techniques such as transcranial direct current stimulation (tDCS) in published research has grown immensely in the past decade; however, there has been little effort to incorporate these techniques into the undergraduate curriculum through course-based undergraduate research experiences (CUREs). Objective To demonstrate the feasibility of creating a CURE focused on tDCS and to offer practical advice on how to create one at other institutions. Method I present a novel undergraduate CURE focused on tDCS, as well as practical advice on how to teach about and safely implement student-driven tDCS experiments. Results Undergraduate students learned about and engaged first-hand in their own non-invasive brain stimulation research in an upper-level psychology laboratory course. Conclusion An undergraduate laboratory course that focuses on non-invasive brain stimulation has a range of potential benefits for students and instructors alike. Furthermore, it allows undergraduates to gain experience using a rapidly growing neuroscientific methodology. Teaching Implications Given that tDCS is a safe and relatively inexpensive method of modulating brain function, the present course demonstrates the ease, and potential advantages, of incorporating NIBS into the undergraduate psychology curriculum.
Attitudes and Beliefs of Physical Therapist and Physical Therapist Assistant Program Directors in the United States Towards Interprofessional Education

Purpose: To investigate the attitudes and beliefs of physical therapy (PT) and physical therapist assistant (PTA) program directors towards interprofessional education (IPE). We hypothesized that Communication and Ethics would be the most important competencies among program directors. Methods: A cross-sectional survey based on previously utilized instruments modified for the profession of PT was sent to PT and PTA program directors. One hundred sixteen responses were analyzed using frequency analysis for demographic data and non-parametric Mann-Whitney U t-test for group differences. Results: While the majority of program directors agree that IPE is important, with Communication as the most important IPE competency, most PTA program directors do not support the importance of accreditation in implementing IPE (pConclusion:Program directors agree that IPE is vital to student learning, with Communication as the most important IPE competency. However, specific differences between PT and PTA program directors emerged primarily on IPE implementation, the role of accreditation, resource support, and resource utilization.
Idle Speed Control Stepper Motor Principle of the Device Structure

Idle Speed Control(ISC) in ensuring the stable operation of engine emissions requirements and under the premise of stability as far as possible maintain a minimum speed of the engine to reduce fuel consumption when idle.Idle control fuel injection quantity by the fuel injection control system to match the amount of air in accordance with the principle of change,in order to achieve the target air-fuel ratio.This paper describes the idle speed control stepper motor type composition,Stepper Motor Idle Control Valve on the main structure,Idle Speed Control Stepper Motor Control Principle of the device.
The affective effect: Exploring undergraduate students’ emotions in giving and receiving peer feedback

ABSTRACT While the peer feedback process has an important role to play in student learning and has many benefits, it is not without its challenges. One of these is the effect that emotions may have on the way that students engage with the feedback. Yet, the specific emotions experienced during peer feedback is relatively under-explored. Therefore, this exploratory qualitative study unpacks the range of emotions experienced by students during peer feedback. Using Plutchnik’s Wheel of Emotions to analyse students’ questionnaire responses, the study found that students largely exhibited positive emotions, which may be due to their perceptions of themselves in relation to the process, as well as the various scaffolds put in place. Knowing which emotions students experienced during peer feedback may enable a greater understanding of the role of emotions in peer feedback, as well as enabling student feedback literacy development.
SMT-based BMC for Dense Timed Interpreted Systems and EMTLK Properties

The use of automated verification, performed by the analysis of their models, is often recommended to assess the correctness of safety-critical systems, failure of which could cause dramatic consequences for both people and hardware. In the past, several automated verification methods, including model checking, have been proposed and consequently applied for the trustworthy development of real-time multi-agent systems (RTMAS). In this paper, we investigate a Satisfiability Modulo Theories based Bounded Model Checking (SMT-BMC) method for EMTLK (the existential fragment of an epistemic Metric Temporal Logic) that is interpreted over models generated by Dense Timed Interpreted Systems (DTIS). In particular, we translate the existential model checking problem for EMTLK to the existential model checking problem for a variant of an epistemic Linear Temporal Logic with a new set of propositional variables (called ELTLKq), and we provide an SMT-BMC technique for ELTLKq. We have implemented our technique and tested it using the Timed Generic Pipeline Paradigm scenario. Our preliminary experimental results allow us to draw positive conclusions regarding the future applications of our new method in the automated verification of other benchmarks for RTMAS modelled
A Study on Engine Radiated Noise

An experimental study on engine surface vibration and radiated noise is carried out in this paper.Firstly,the general relation between radiated noise and surface vibration is established and the radiation ratio is discussed.Then the vibration characteristic of the various components of the engine is investigated, and the sound power level of various components and the total sound power level of the engine are predicted.The prediction of total sound power level agrees well with the data measured under anechoic conditions.It is shown that surface vibration measurement can be used to predict sound power level and identify noise sources.
Identifying and managing asbestiform minerals in geological collections

Asbestos is widely recognised as a serious hazard, and its industrial use is now banned within the UK, and EU, and strict regulations govern the use of older manufactured materials which may contain asbestos. However, asbestos is also a natural geological material, and may occur in museum collections as minerals or constituents of rock specimens. In the UK the Control of Asbestos Regulations 2012 (CAR 2012) provides the legal framework for the safe identification, use and disposal of asbestos. However, these regulations, and other EU regulations, provide no specific guidance on dealing with potentially asbestos-containing natural materials. CAR 2012 specifies just six asbestos minerals although a number of other minerals in museum collections are known to have asbestiform structures and be hazard-ous, including other amphiboles, and the zeolite erionite. Despite the lack of specific guid-ance, museums must comply with CAR 2012, and this paper outlines the professional ad-vice, training and procedures which may be needed for this. It provides guidance on identifi-cation of potential asbestos-bearing specimens and on procedures to document them and store them for future use, or to prepare them for professional disposal. It also makes sug-gestions how visitors, employees and others in a museum can be protected from asbestos as incoming donations and enquiries, managed in the event of an emergency, and safely included in displays.
Fundamentals of Electric Power Engineering: From Electromagnetics to Power Systems

Description: This book serves as a tool for any engineer who wants to learn about circuits, electrical machines and drives, power electronics, and power systems basics From time to time, engineers find they need to brush up on certain fundamentals within electrical engineering. This clear and concise book is the ideal learning tool for them to quickly learn the basics or develop an understanding of newer topics. Fundamentals of Electric Power Engineering: From Electromagnetics to Power Systems helps nonelectrical engineers amass power system information quickly by imparting tools and trade tricks for remembering basic concepts and grasping new developments. Created to provide more in-depth knowledge of fundamentals—rather than a broad range of applications only—this comprehensive and up-to-date book: Covers topics such as circuits, electrical machines and drives, power electronics, and power system basics as well as new generation technologies Allows nonelectrical engineers to build their electrical knowledge quickly Includes exercises with worked solutions to assist readers in grasping concepts found in the book Contains “in-depth” side bars throughout which pique the reader’s curiosity Fundamentals of Electric Power Engineering is an ideal refresher course for those involved in this interdisciplinary branch. For supplementary files for this book, please visit company website
Development of a Measure of Corporate Safety Culture for the Transportation Industry

This project was designed to develop the Corporate Safety Culture Scale, a unique measure of corporate safety culture that is supported by a strong theoretical foundation. Items were developed conceptually, discussed in cognitive interviews, and submitted to expert review. Survey items were administered to employees of a large public transportation organization. Principle components analysis reduced the data and identified an empirical model. The empirical model held two domains identified as: 1) “Values,” and 2) “Behavior. ” Confirmatory factor analysis compared the fit of the empirical model with that of a modified empirical model, and the hypothesized model, which held the following three domains: 1) “Behavior,” 2) “Values,” and 3) “Meaning Systems. ” Goodness of fit indices (Chi-Squared, RMSEA, CFI, ECVI) identified the modified empirical structure as the model with best fit. The similarities between the hypothesized and modified empirical models suggested that the CSCS carries strong theoretical support. The measure’s reliability was tested using Cronbach’s Alpha. The full CSCS and each identified domain were shown to have strong Alpha values. One-way between groups analysis of variance, was used to evaluate the relationship between scores on the full measure and a categorical safety behavior item. Findings suggested that high scorers
APPLICATION OF PLC TO THE BOILER AUTOMATIC CONTROL SYSTEM

Normally, there is a relay adopted in controlling the fuel oil boiler to achieve higher efficiency. This paper produces an automatic allied control, the Model F1-30 PLC, to control a series of procedures as ignition, burning, blowing, spraying fuel, etc., and presents the design of the software and hardware of the control system. Experience shows that the system runs steadily and reliably.
A New Charging Algorithm for Li-Ion Battery Packs Based on Artificial Neural Networks

This paper shows the potential of artificial intelligence (AI) in Li-ion battery charging methods by introducing a new charging algorithm based on artificial neural networks (ANNs). The proposed charging algorithm is able to find an optimized charging current profile, through ANNs, considering the real-time conditions of the Li-ion batteries. To test and validate the proposed approach, a low-cost battery management system (BMS) was developed, supporting up to 168 cells in series and n cells in parallel. When compared with the multistage charging algorithm, the proposed charging algorithm revealed a shorter charging time (7.85%) and a smaller temperature increase (32.95%). Thus, the results show that the proposed algorithm based on AI is able to effectively charge and balance batteries and can be regarded as a subject of interest for future research.
A Logical Characterization of Evaluable Knowledge Bases

: Evaluable knowledge bases are comprised of non-Horn rules with partial predicates and functions, some of them are deﬁned as recursive functions. This paper investigates logical foundations of the derivation of literals from evaluable knowledge bases without reasoning by contradiction. The semantics of this inference is speciﬁed by constrained 3-valued models. The derivation of literals without reasoning by contradiction is characterized by means of sequent calculi with non-logical axioms expressing knowledge base rules and facts. The logical rules of these calculi include only the negation rules, and cut is the only essential structural rule.
Ice Core Chronologies from the Antarctic Peninsula: The Palmer, Jurassic, and Rendezvous Age-Scales

In this study, we present the age scales for three Antarctic Peninsula (AP) ice cores: Palmer, Rendezvous, and Jurassic. The three cores are all intermediate-depth cores, in the 133–141 m depth range. Non-sea-salt sulfate ([nssSO42−]) and hydrogen peroxide (H2O2) display marked seasonal variability suitable for annual-layer counting. The Palmer ice core covers 390 years, 1621–2011 C.E. , and is one of the oldest AP cores. Rendezvous and Jurassic are lower elevation high-snow accumulation sites and therefore cover shorter intervals, 1843–2011 C.E. and 1874–2011 C.E. , respectively. The age scales show good agreement with known volcanic age horizons. The three chronologies’ start and end dates of volcanic events are compared to the volcanic events in the published WAIS Divide core. The age difference for the Palmer age scale is ±6 months, Rendezvous ±9 months, and Jurassic ±7 months. Our results demonstrate the advantage of dating several cores from the same region at the same time. Additional confidence can be gained in the age scales by evaluating and finding synchronicity of [nssSO42−] peaks amongst the sites.
Treatment of Human Glioblastoma U251 Cells with Sulforaphane and a Peptide Nucleic Acid (PNA) Targeting miR-15b-5p: Synergistic Effects on Induction of Apoptosis

Glioblastoma multiforme (GBM) is a lethal malignant tumor accounting for 42% of the tumors of the central nervous system, the median survival being 15 months. At present, no curative treatment is available for GBM and new drugs and therapeutic protocols are urgently needed. In this context, combined therapy appears to be a very interesting approach. The isothiocyanate sulforaphane (SFN) has been previously shown to induce apoptosis and inhibit the growth and invasion of GBM cells. On the other hand, the microRNA miR-15b is involved in invasiveness and proliferation in GBM and its inhibition is associated with the induction of apoptosis. On the basis of these observations, the objective of the present study was to determine whether a combined treatment using SFN and a peptide nucleic acid interfering with miR-15b-5p (PNA-a15b) might be proposed for increasing the pro-apoptotic effects of the single agents. To verify this hypothesis, we have treated GMB U251 cells with SFN alone, PNA-a15b alone or their combination. The cell viability, apoptosis and combination index were, respectively, analyzed by calcein staining, annexin-V and caspase-3/7 assays, and RT-qPCR for genes involved in apoptosis. The efficacy of the PNA-a15b determined the miR-15b-5p content analyzed by RT-qPCR. The results obtained indicate that SFN and PNA-a15b synergistically act in inducing the apoptosis of U251 cells. Therefore, the PNA-a15b might be proposed in a “combo-therapy” associated with SFN. Overall, this study suggests the feasibility of using combined treatments based on PNAs targeting miRNA involved in GBM and nutraceuticals able to stimulate apoptosis.
Assessment of Energy Storage Alternatives in the Puget Sound Energy System

As part of an ongoing study co-funded by the Bonneville Power Administration, under its Technology Innovation Grant Program, and the U.S. Department of Energy, the Pacific Northwest National Laboratory (PNNL) has developed an approach and modeling tool for assessing the net benefits of using energy storage located close to the customer in the distribution grid to manage demand. PNNL in collaboration with PSE and Primus Power has evaluated the net benefits of placing a zinc bromide battery system at two locations in the PSE system (Baker River / Rockport and Bainbridge Island). Energy storage can provide a number of benefits to the utility through the increased flexibility it provides to the grid system. Applications evaluated in the assessment include capacity value, balancing services, arbitrage, distribution deferral and outage mitigation. This report outlines the methodology developed for this study and Phase I results.