Miracle-dz/UniFAR-FTUs huggingface dataset:
Embedded system for supply voltage converter of organic lightemitting diode with extended functionality

The work is dealing with the problem of developing an embedded system for supply voltage converter of Organic Light-Emitting Diode (OLED) with advanced functionality, namely with an embedded ability to measure the Volt-Ampere (V – A) characteristics of structures directly during their operation. The measurement of the V – A characteristics of OLED structures is performed on the transient processes of voltage generation in the drivers boost circuits. Model researches show the operating conditions of the boost OLED power driver with in-situ measurement of its V – A characteristics. In accordance with the results of model researches and requirements for the implementation of modern electronics devices, an embedded system of voltage converter for OLED structure has been developed. The basis of the developed converter is a programmable system on chip PSoC of 5LP Family Cypress Semiconductor Corporation. Streszczenie. Praca dotyczy problemu opracowania wbudowanego systemu przetwornika napięcia zasilania organicznej diody elektroluminescencyjnej (OLED) z zaawansowaną funkcjonalnością, mianowicie z wbudowaną możliwością bezpośredniego pomiaru charakterystyk woltoamperowych (W – A) struktur. podczas ich eksploatacji. Pomiar charakterystyki W – A struktur OLED wykonywany jest na przejściowych procesach generowania napięcia w obwodach doładowania sterowników. Badania modelowe pokazują warunki pracy zasilacza boost OLED z pomiarem in-situ jego charakterystyk W – A. Zgodnie z wynikami badań modelowych oraz wymaganiami dla implementacji nowoczesnych urządzeń elektronicznych, opracowano wbudowany system przetwornika napięcia dla struktury OLED. Podstawą opracowanego konwertera jest układ programowalny na chipie rodziny PSoC 5LP Cypress Semiconductor Corporation. (Wbudowany system przetwornicy napięcia zasilającego organicznych diod elektrycznych o rozszerzonej funkcjonalności)
Design of a Patch Power Divider with Simple Structure and Ultra-Broadband Harmonics Suppression

This paper introduces a simple H-shaped patch Wilkinson power divider (WPD), which provides ultra wide harmonics suppression band. The presented WPD designed at 1.8 GHz, and exhibits good performance at the operating bandwidth. In the proposed divider structure, two simple patch low-pass filters (LPFs) are employed at each branch, and three open ended stubs are added at each port. The proposed divider, implemented using the aforementioned structures has a good performance at both higher frequencies, and the operating frequency. In particular, the designed divider provides an ultra wide suppression band from 3 GHz to 20 GHz, which encompasses the 2nd up to the 11th harmonic. The proposed WPD has an operating band from 1.62 GHz to 2.1 GHz, with the operating bandwidth exceeding 480 MHz. Consequently, the fractional bandwidth (FBW) of 25.8 percent is obtained. The results indicate |S11|, |S12|, |S22|, and |S23|, are equal to –17 dB, –3.5 dB, –20 dB, and –17 dB, respectively, at the operating frequency. The simulation results are corroborated through the measurements of the fabricated divider prototype. The superior harmonic suppression capability is also demonstrated through comparisons with state-of-the-art divider circuits from the literature.
COVID-19 in Bolivia: On the Path to recovering Development

Bolivia, just like the other countries of the region, was not excluded from the impact of COVID-19 and the pandemic appeared in the midst of an economic and political crisis as a result of the failed presidential elections of October, 2019. Despite the fact that timely measures were adopted to face the pandemic at the beginning of the outbreak and that, in effect, it did slow down the initial increase of the epidemiological curve, later it became impossible to stop the exponential growth of cases and finally the health care system collapsed exposing its deficient structure. The lockdown paralyzed activities and many people lost their jobs; livelihoods were partially or totally destroyed which resulted in a loss of income for many. The economy was faced by a supply shock followed by a demand shock because the level of household consumption dropped. By imposing dynamic and flexible quarantines the government has now started to re-open the economy and has provided the financial system with funds for loans needed to boost the domestic demand. The COVID-19 not only unleashed the crisis but has also opened opportunities and the urgency to get back to work as soon as possible very often was not made visible or ignored. This concerns a society that needs to recover its rights under a new equitable, inclusive and just framework of social justice that focuses on making progress and re-channeling efforts to achieve the Sustainable Development Goals.
LAYOUT OF THE OPTICAL SYNCHRONIZATION SYSTEM FOR FLASH

At FLASH, we observe an electron bunch arrival time jitter ∼ 200 fs on a timescale of several minutes and drifts of picoseconds over the course of a day. The short term jitter of 200 fs is mainly due to the amplitude stability of the first acceleration module. The long-term drifts however, are predominantly caused by the RF distribution and various front ends of the synchronization system. We propose a new type of synchronization system based on optical techniques. The optical synchronization system will satisfy 2 goals: Firstly to provide a high-stability local oscillator for low-level RF regulation, secondly to synchronize experimental lasers for the FEL users and for beam diagnostics which might also utilize the timing laser pulse train directly.
Glioblastoma Embryonic-like Stem Cells Exhibit Immune-Evasive Phenotype

Glioma stem cells (GSCs) are a subset of cells with self-renewal and tumor-initiating capacities that are thought to participate in drug resistance and immune evasion mechanisms in glioblastoma (GBM). Given GBM heterogeneity, we hypothesized that GSCs might also display cellular hierarchies associated with different degrees of stemness. We evaluated a single-cell RNA-seq glioblastoma dataset (n = 28) and identified a stem cell population co-expressing high levels of embryonic pluripotency markers, named core glioma stem cells (c-GSCs). This embryonic-like population represents 4.22% ± 0.59 of the tumor cell mass, and pathway analysis revealed an upregulation of stemness and downregulation of immune-associated pathways. Using induced pluripotent stem cell technology, we generated an in vitro model of c-GSCs by reprogramming glioblastoma patient-derived cells into induced c-GSCs (ic-GSCs). Immunostaining of ic-GSCs showed high expression of embryonic pluripotency markers and downregulation of antigen presentation HLA proteins, mimicking its tumoral counterpart. Transcriptomic analysis revealed a strong agreement of enriched biological pathways between tumor c-GSCs and in vitro ic-GSCs (κ = 0.71). Integration of ic-GSC DNA methylation and gene expression with chromatin state analysis of epigenomic maps (n = 833) indicated that polycomb repressive marks downregulate HLA genes in stem-like phenotype. Together, we identified c-GSCs as a GBM cell population with embryonic signatures and poor immunogenicity. Genome-scale transcriptomic and epigenomic profiling provide a valuable resource for studying immune evasion mechanisms governing c-GSCs and identifying potential therapeutic targets for GBM immunotherapy.
Optimization of active channel thickness of mm-wavelength GaAs MESFETs by using a nonlinear I-V model

To improve the performance of submicron GaAs MESFETs, an optimum value of active channel thickness, a is required. An algorithm has been developed to simulate the effects of a on the device characteristics. It has been observed that the ratio between output conductance and transconductance (g/sub d//g/sub m/) increases with increasing values of /spl alpha/. The data suggest that this could be attributed to the fact that by increasing a, the magnitude of drain-to-source current, I/sub ds/ increases, and as a result there are more uncovered ionic charges in the space charge region toward the drain-side of the gate. The access charge density at the drain-side of the depletion induces opposite charges in the gate electrode. Consequently, it gives forward biasing to the Schottky barrier gate which increases with increasing values of I/sub ds/. As a result, the modulation of channel current due to the applied gate potential becomes less effective and the ratio g/sub d//g/sub m/ increases as a function of /spl alpha/. The technique developed could be a very useful tool for the simulation of large scale integrated circuitry involving submicron GaAs MESFETs.
Is project-based transdisciplinary assessment effective in reducing the Mathematical anxiety of pre-service Biology teacher?

Mathematical anxiety is a constant obstacle experienced by pre-service Biology Teachers in developing their quantitative abilities. Project-based transdisciplinary assessment is one type of transdisciplinary application that has not been widely explored to solve this problem. Project-based transdisciplinary assessment in form of mini-research with the topic “Data Collection on local wisdom in each area”. The aim of this study is to determine the impact of implementing project-based transdisciplinary assessment on reducing mathematics anxiety among 23 pre-service biology Teachers. This study used a pre-experimental method with a pre-test and post-test design with one non-randomized group. The pre-test and post-test were carried out using the AMAS (Abbreviated Math Anxiety Scale) questionnaire. Data were analyzed using descriptive statistics and the Wilcoxon signed ranks test. Statistical results of this study show no significant difference in mathematics anxiety before and after the implementation of the project-based transdisciplinary assessment with a z value of-0.163 and a p-value of 0.87. Based on the aspect of mathematics anxiety, there is also no significant difference in mathematics learning anxiety and mathematics evaluation anxiety when compared before and after the implementation of project-based transdisciplinary assessment with each z value = -0.664, p = 0.506 and z = -0.931 and p = 0.352. The implication of this research is the need for a continuous, collaborative and institutional effort in the transdisciplinary application so as to improve the quantitative abilities of pre-service Biology Teachers.
Adaptive control in series load PWM induction heating inverters

Permanent variations of the electric properties of the load in induction heating equipment make difficult to control the plant. To overcome these disadvantages, the authors propose a new approach based on adaptive control methods. For real plants it is enough to present desired performances or start-up variables for the controller, from which the algorithms tune the controllers by itself. To present the advantages of the proposed controllers, comparisons are made to a PI controller tuned through Ziegler–Nichols method.
Post-Editese in Literary Translations

In the present study, we investigate the post-editese phenomenon, i.e., the unique features that set machine translated post-edited texts apart from human-translated texts. We use two literary texts, namely, the English children's novel by Lewis Carroll Alice’s Adventures in Wonderland (AW) and Paula Hawkins' popular book The Girl on the Train (TGOTT) translated from English into Brazilian-Portuguese to investigate whether the post-editese features can be found on the surface of the post-edited (PE) texts. In addition, we examine how the features found in the PE texts differ from the features encountered in the human-translated (HT) and machine translation (MT) versions of the same source text. Results revealed evidence for post-editese for TGOTT only with PE versions being more similar to the MT output than to the HT texts.
How Can High-Frequency Sensors Capture Collaboration? A Review of the Empirical Links between Multimodal Metrics and Collaborative Constructs

This paper reviews 74 empirical publications that used high-frequency data collection tools to capture facets of small collaborative groups—i.e., papers that conduct Multimodal Collaboration Analytics (MMCA) research. We selected papers published from 2010 to 2020 and extracted their key contributions. For the scope of this paper, we focus on: (1) the sensor-based metrics computed from multimodal data sources (e.g., speech, gaze, face, body, physiological, log data); (2) outcome measures, or operationalizations of collaborative constructs (e.g., group performance, conditions for effective collaboration); (3) the connections found by researchers between sensor-based metrics and outcomes; and (4) how theory was used to inform these connections. An added contribution is an interactive online visualization where researchers can explore collaborative sensor-based metrics, collaborative constructs, and how the two are connected. Based on our review, we highlight gaps in the literature and discuss opportunities for the field of MMCA, concluding with future work for this project.
Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model Under Adversarial Examples

Based on machine learning (ML) technique, the data-driven power system stability assessment has received significant research interests in recent years. Yet, the ML-based models may be vulnerable to the adversarial examples, which are very close to the original input but can lead to a different (wrong) assessment result. Taking short-term voltage stability (STVS) assessment problem as the case study, this paper firstly analyzes the vulnerability of the ML-based models under both the white-box and the black-box attack scenarios, where adversarial examples are generated to falsify the STVS assessment model into the wrong outputs without noticeable changes of the input values. Then, an empirical index is proposed to quantitatively measure the robustness of ML-based models under adversarial examples. After that, an adversarial training-based mitigation strategy is proposed to enhance the ML-based model against the adversarial examples under both the white-box and the black-box scenarios. Simulation results have clearly illustrated the threat of the adversarial examples to the ML-based models and verified the effectiveness of the proposed mitigation strategy.
Teknologistøttet ferdighetstrening for sykepleierstudenter i desentralisert utdanning

Våren 2017 ble et pilotprosjekt gjennomført ved den desentraliserte sykepleierutdanningen ved UiT Norges arktiske universitet, med deltakelse av sykepleierstudenter. Et tett samarbeid med University of Saskatchewan i Canada førte til at vår prosjektgruppe fikk låne en mobil telemedisinsk enhet som ble utprøvd i undervisning og øving på praktiske ferdigheter for studenter i Nord-Troms. Studentene måtte forholde seg til teknologi, veiledere og hverandre på en annen måte enn de tidligere hadde gjort, noe de fleste av dem opplevde som positivt. Vi ønsker gjennom dette kapittelet å vise hvordan undervisningen ble gjennomført, og gjennom analyse av studentenes og lærernes refleksjonslogger diskutere studentenes og lærernes erfaringer med bruk av teknologistøttet ferdighetstrening.
Wideband vibro-impacting vibration energy harvesting using magnetoelectric transduction

This article reports on proof-of-concept experimental work carried out to demonstrate a wideband vibro-impacting energy harvesting approach based on a magnet/bearing arrangement coupled with a magnetoelectric transducer. The harvesting arrangement uses a Terfenol-D/Pz27 laminate transducer (disc with radius 5 mm) positioned between an oscillating spherical chrome-steel bearing and a rare earth magnet. The oscillating bearing steers magnetic field through the magnetoelectric transducer, generating an oscillating charge that can be harvested. A vibro-impacting arrangement between the oscillating bearing (radius 12.7 mm) and a pair of aluminium mechanical stops is designed to produce a wideband frequency response. For a 434 mG host acceleration, the vibro-impact mechanism produced a bandwidth of ∼7.2 Hz (between 6 and ∼13.2 Hz). The issue of damage to the mechanical stops caused by the vibro-impacting process is also explored and was demonstrated experimentally and theoretically to be inconsequential. This non-optimized wideband harvesting approach has demonstrated a generated power of 3.3 µW from a root mean square host acceleration of 180 m-g at 8.0 Hz.
Critical Thinking Skills And Student Enthusiasm In Virtual-Based Learning For Thermodynamics Course

This study aims to determine the critical thinking skills and enthusiasm of prospective physics educator students in learning virtual-based thermodynamics courses. This type of research is a survey research that begins with the development of research instruments using a 4-D development model according to Thiagarajan consisting of 4 stages, namely: define, design, develop, and disseminate. The research subjects were 20 students of the physics education study program at the University of Palangka Raya in the Thermodynamics class. Collecting data using validation methods, evaluation techniques and student enthusiasmquestionnaires. Quantitative data were obtained from the results of critical thinking skills assessment and student enthusiasm questionnaires in the virtual-based thermodynamics learning process given at the end of the lesson. The data analysis technique used quantitative and qualitative descriptive inferential statistical test analysis. The results obtained are the test instrument for critical thinking skills learning outcomes and student enthusiasm questionnaire instruments in virtual-based thermodynamic learning that have been developed are included in the valid criteria, with Cronbach's Alpha reliability () 0.712 < 0.899 which is included in the high reliability criteria; 1) students' critical thinking skills are 87% with an average N-gain of 0.86 critical thinking skills which is in the high criteria; 2) student enthusiasm on average 91.7% students feel enthusiastic about thermodynamics learning that is carried out virtually, which can be seen from the aspect of student's intention to take part in learning by 95%, aspect of goal 90%, aspect of self-potential by 90% and positive thinking aspect by 91.7%.
The evaluation and justification of the effectiveness of 4D CAD using multi-criteria analysis

AbstractThe article presents the results of the analysis focused on the effectiveness of 4D CAD the phenomenon of which has been analysed by foreign scientists considering a number of different aspects. The conducted research differs from prior literature as the objective, in our case, was to evaluate effectiveness and justify results using multi-criteria analysis. Effectiveness has been investigated through the construction experiment observing group performances applying two different types of information – 2D CAD and 4D CAD drawings. Research findings have proved that the efficiency of using the 4D model has been doubled given the same time constraints when the evaluating the completeness of the construction object. Research results have also showed that the use of the 4D model helped with completing the construction of the object much faster. A comparison of the results of the participants of two groups has revealed that the use of the 4D CAD model has twice reduced the occurrence of mistakes in the c.
Study and simulation of MPPT techniques to control a stand-alone photovoltaic system under varying irradiance

Abstract: The aim of this paper is to analyze and evaluate three different forms of Maximum Power Point Tracking (MPPT) techniques under standard and various atmospheric conditions. In the literature, different MPPT methods are proposed and studied by researchers, let us quote the well known Perturb & Observe (P&O), the incremental conductance, fuzzy logic based MPPT, neural networks based MPPT,etc. The major drawback found is the effectiveness of these techniques under sudden variations in weather conditions such as irradiance and temperature. Another drawback of some MPPT techniques is the response time which is important to achieve the optimum power value. In this sense, optimization of P&O method becomes the objective of our work, to track the point of maximum power in a photovoltaic system under different weather conditions. In this paper, we will improve the P&O technique which makes it possible to react quickly to sudden changes in solar radiation and to follow the maximum power point with very low oscillations. The main idea is to use a PID regulator to make the voltage of the PV panel much closer than the MPP voltage, this method is named indirect P&O. The simulation based comparative study showed that the MPPT indirect P&O technique led to better performance.
The Analysis of Emotion Adjective for LED Light Colors by using Kobayashi scale and I.R.I scale

The aim of this study is to analyze the emotion adjectives for light emitting diode(LED) light colors using a twofold adjective image scales from Kobayashi and I.R. I. A set of psychophysical experiments using category judgment was conducted in an LED light color simulation system, in order to evaluate each emotion scale coordinate for those test light colors in both adjective image scales. In total, 49 test light colors from a combination of 6 color series were assessed by 15 human observers. As a result, Kobayashi adjective image scale clearly expressed to emotion adjectives of `Dynamic`, `Casual`, `Chic`, `Cool-casual`, `Modern`, and `Natural` for different hues. In contrast, I.R. I adjective image scale expressed only 2 adjectives of `dynamic` and `luxurious` for the all hues.
Heterogeneous Causality Between Telecommunications and Economic Growth: An Application of Hurlin–Venet Process to the Indian States

Keeping in mind the importance of telecommunications sector for India especially post the reform of 1991, the study seeks to study the causal relationship between telecommunication and economic growth for selected panel of 17 Indian states by implicitly taking into account panel heterogeneity. Using Hurlin–Venet causal mechanism, the study investigates homogeneous causality (HC) as against heterogeneous causality (HEC). Homogeneous non-causality and HC hypothesis both of which assume homogeneity are rejected in both the directions thereby implying that Indian panel is made up of heterogeneous cross sections. After this HEC tests are conducted namely heterogeneous non-causality (HENC) and HEC for each and every cross section. The results from HENC and HEC test show that six states show up unidirectional causality from economic growth to telecommunication, four states show unidirectional causality from telecommunications to economic growth, four states show up bidirectional relationship and three states show up no causality. The results are robust to different lags for both our dependent as well as independent variables. This implies that state level differences are very much relevant for India and thus policies suitable for each state would be guided majorly by direction of relationship that is true in a particular state economy. JEL Classification: C23, L96, O40