Miracle-dz/UniFAR-FTUs huggingface dataset:
An Analysis of Idiomatic Expressions Found in Ed Sheeran’s Selected Lyrics Songs

This research is conducted in order to find our the idiomatic expressions used in the Ed Sheeran’s album songs entitled Divine. This research was done by using qualitative research which focused on content or document analysis. The songs from Ed Sheeran’s album, Divine, were chosen as the data source in this research. The data were analyzed by using the theory of Makkai (1972). The researchers browsed the song album from internet, seeking the script lyrics of the song, listening and transribing. After that, the analysis of the data covered reading, analyzing, identifying, classifying the types of idiomatics expressions found from the songs lyrics, and last was drawing conclusion. After analyzing the data, the researchers found that there were two idiomatic expressions depicted in the lyrics songs, they were phrasal verb idiom and 4 Tournure idiom. Phrasal verb idiom was the most dominant with 6 data (60%) and tournure idiom with 4 data (40%).
TEM investigation of semipolar GaN layers grown on Si(001) offcut substrates

We present the results of a conventional and high-resolution electron microscopy investigation of thick (up to 15 μm) semipolar GaN layers grown on Si(001) offcut substrates with 3C-SiC and AlN buffer layers. GaN and AlN layers have been grown by chloride vapor phase epitaxy. The silicon carbide buffer layers were produced by a new method of solid-phase synthesis on 4 and 7° offcut Si(001) substrates. It is shown that the use of solid-phase synthesis for the formation of SiC layer allows one to grow a semipolar GaN layer. The asymmetrical defect structure of the semipolar layer is revealed.
Reduction of the Circulating Current Among Parallel NPC Inverters

In medium/high power applications, including smart transformers, active power filters, and wind turbines, three-level neutral-point-clamped (NPC) inverters proved to be a reliable solution, providing high efficiency and low harmonic distortion. In practice, several NPCs are parallel connected and operated in interleaved manner to further increase the power handling and reduce the line filters size. However, if such configuration has a common dc-link, high-frequency zero-sequence circulating current (HF-ZSCC) arises among the inverters, increasing power losses of the switching devices and propagating the stress on the dc-capacitors. Moreover, the amplitude of the HF-ZSCC is inversely proportional to the filter inductance size, therefore in real applications, it can reach hundreds of amperes even with relatively low output currents. The research on the HF-ZSCC is mostly concentrated on two-level inverters for low voltage grids and traction applications, where the inductance size is relatively big and the HF-ZSCC does not affect the system efficiency. Differently, NPCs provide higher switching degree of freedom and more sophisticated methods can be applied to reduce the HF-ZSCC. This article investigates a double-reference pulsewidth modulation (DRPWM) as solution for diminishing the HF-ZSCC in paralleled NPCs. The performance of DRPWM method is confirmed by both simulation and experiments, performed on a 1.6-MVA system.
Direct and Indirect Measures of Attention Indicating a Bias Toward Cues in Methamphetamine Users

Introduction: This study aims to investigate the attentional bias toward drug-related stimuli along with subjective craving after encountering such stimuli in methamphetamine users. Studies of cue reactivity have confirmed a bias in attention and gaze toward drug-related stimuli for most substances; however, methamphetamine drugs are less studied through a direct measure, such as eye tracking. Methods: A total of 30 male subjects in the case group (methamphetamine users) and 36 subjects in the control group (no prior drug use) participated in this study. The participant’s eye movement data were collected while they were viewing pairs of drug-related and non-drug images in a dot-probe paradigm. Craving was assessed via a self-report questionnaire on a scale of 0 to 10 before and after the psychophysical task. Results: The analysis of eye-movement data showed a meaningful gaze bias toward cue images (drug-related) in the case group. Additionally, the gaze duration on cue images was significantly higher in the case group, in contrast to the control group. The same effect was observed in analyzing the dot-probe task; that is, the mean reaction time to a probe that replaced a cue image was significantly lower. The mean of the first-fixation measure in the control group was not significantly higher than chance; however, the percentage of the first-fixation on cue images in the drug users was meaningfully biased. Reported craving was significantly greater after performing the task compared to before. Conclusion: Our results indicated an attentional bias toward drug-related cues in methamphetamine users as well as subjective craving after encountering such cues. Highlights The gaze duration on cue images was significantly higher in methamphetamine users. The mean reaction time to a probe that replaced a cue image was significantly lower in methamphetamine users compared to the control group. The mean of the first-fixation measure in the case group was significantly better than chance. Craving was reported to be significantly greater after performing the task. Plain Language Summary Substance users tend to focus on the stimuli associated with substances. This is known as attention bias. Attention bias leads to increased craving. Attention bias for various substances has been previously reported; however, methamphetamine attention bias has not been evaluated so far. In this study, we measured the attention bias toward stimuli related to methamphetamine in methamphetamine users and control subjects with direct (eye tracking) and indirect (dot probe paradigm) methods. In addition, we measured the number of cravings in the case group. Our results confirmed the bias in attention toward methamphetamine-related stimuli in the case group compared to the control group.
Machine Learning-Based Prediction of Missing Components for Assembly – a Case Study at an Engineer-to-Order Manufacturer

For manufacturing companies, especially for machine and plant manufacturers, the assembly of products in time has an essential impact on meeting delivery dates. Often missing individual components lead to a delayed assembly start, hereinafter referred to as assembly start delayers. Identifying the assembly start delayers early in the production process can help to set countermeasures to meet the required delivery dates. In order to achieve this, we set up 24 prediction models on four different levels of detail utilizing different machine learning-algorithms – six prediction models on every level of detail – and applying a case-based research approach in order to identify the model with the highest model quality. The modeling approach on the four levels of detail is different. The models on the coarsest level of detail predict assembly start delayers utilizing a classification approach. The models on the three finer levels of detail predict assembly start delayers via a regression of different lead times and subsequent postprocessing operations to identify the assembly start delayers. After training of the 24 prediction models based on a real data set of a machine and plant manufacturer and evaluating their model quality, the classification model utilizing a Gradient Boosting classifier showed best results. Thus, performing a binary classification to identify assembly start delayers was the best modelling approach. With the achieved results, our study is a first approach to predict assembly start delayers and gives insights in the performance of different modeling approaches in the area of a production planning and control.
Structure-based virtual screening and molecular dynamics simulations for detecting novel candidates as FGFR1 inhibitors

Structure-based virtual screening (SBVS) was performed to predict lead compounds for fibroblast growth factor receptor 1 (FGFR1) inhibition screening the kinase inhibitor database taken from ChEMBL. The prepared kinase inhibitor database consisted of 48017 ligands were screened in ATP binding site of FGFR1 by CCDC Gold software using virtual screening parameters to filter out. After then, 720 ligands were docked inside FGFR1 using default docking parameters of CCDC Gold software. The GOLD fitness score values of 70 and 80 was used a threshold value for screening and docking process, respectively. The ligands as reduced numbers to twenty-two in terms of docking results were utilized to calculate MMGBSA free binding energy from 10 ns molecular dynamics simulations (MDS). For refinement of results, six of twenty-two ligands which have better calculated MMGBSA free binding energy were exposed to 100 ns MDS. Then, 100 ns MDS trajectories of six compounds were used to calculate MMGBSA free binding energy, and MDS were expended to 250 ns for three ligands which have highest free binding energies. By free binding energies calculated from expanded MDS, were used to predict the most promising candidates (compounds G9 and G10) for FGFR1 inhibition. Structure stability, binding modes and energy decomposition analysis were performed to insight into dynamic behaviors of compounds G9 and G10 inside FGFR-1.
Robust Predictive Current Control for Fault-Tolerant Operation of Five-Phase PM Motors Based on Online Stator Inductance Identification

The parameter mismatch in model predictive control (MPC), especially in fault-tolerant control, will lead to degradation of output performance. This article presents a new robust predictive current control based on online d-q inductance identification for a five-phase permanent-magnet (PM) motor under open-circuit fault. First, the MPC of the five-phase motor under the fault-tolerant operation of A-phase open-circuit is built, and then, the parameter mismatch caused by the d-q-axis inductance and the stator resistance is analyzed and discussed. Afterward, the real-time d-q-axis inductance identified by a fault-tolerance model reference adaptive system is used to replace the original parameters in MPC. Moreover, the flux linkage parameter mismatch can be rejected by the incremental predictive model in the proposed method. Therefore, the proposed method can eliminate almost all parameter mismatches, thereby improving output performance and enhancing parameter robustness under open-circuit fault. Finally, the validity and effectiveness of the proposed method are verified by experiments.
Preparation and characterization of carbon microfiltration membrane applied to the treatment of textile industry effluents

ABSTRACT Two tubular carbon microfiltration membranes have been prepared using mineral coal powder under similar conditions onto graphite supports made from carbon powder of 25 and 44 µm and having a porosity and mean pore diameter of 34% and 37% and 1.7 and 3.0 µm, respectively. The mean pore diameters were of 0.5 and 0.8 µm, respectively. The performances depend on the membrane pore diameter. Particularly, the membrane presenting the largest pore size reached a stabilized permeate flux at 1 bar of 150 L/h.m2 against 4.5 L/h.m2 for the membrane of 0.5 µm. However, both membranes showed similar efficiency in term of pollutant removal, which was found independent of transmembrane pressure.
Effectiveness of Thread-embedding Therapy Combined with Korean Medicine Treatment on Acute phase of Bell’s Palsy

Objectives : This study was to investigate the effectiveness of thread-embedding therapy for the treatment of acute phase of Bell’s palsy. Methods : Thread-embedding therapy was performed once a week on 29 patients within 1 weeks after the onset. We investigated the general characters, Yanagihara's score, House-Brackmann scale and FDI were used to evaluate the effectiveness of thread-embedding therapy. Results : Facial muscle recovery began at 13.37th day, that was about 0.36 day earlier than the previous patients who were treated without thread-embedding therapy in 2017 at the same hospital, but there was no statistical significance. In the change of each scale before and after treatment, Yanagihara's score, HouseBrackmann scale, physical function and social function of FDI were changed significantly. Compared with the patients treated without thread-embedding therapy in 2017, Yanagihara's score was a little higher and HouseBrackmann scale was a little lower. Conclusions : These findings suggested that thread-embedding therapy on acute phase of Bell’s palsy was a little more effective than the conventional therapy without thread-embedding therapy.
A Direct Modulation for Matrix Converters Based on the One-Cycle Atomic Operation Developed in Verilog HDL

This article presents a fast direct pulsewidth modulation (PWM) algorithm for the conventional matrix converters developed in Verilog hardware description language. All PWM duty cycle calculations are performed in one cycle by an atomic operation designed as a digital module using field-programmable gate array basic blocks. The algorithm can be extended to any number of output phases. The improved version of the discontinuous direct analytic voltage PWM (DAV-PWM) method is proposed, in which the use of trigonometry, angles, and program loops has been eliminated. The proposed DAV-PWM is equivalent to the space vector modulation; it can be applied during input asymmetry and also allows for the control of the displacement input angle. The proposal has been verified using the circuit simulation in PSIM, digital structure modeling in ModelSim, and finally through an experiment.
Design and Experimental Validation of a Miniaturized Robotic Tendon-Driven Articulated Surgical Drill for Enhancing Distal Dexterity in Minimally Invasive Spine Fusion

Steerable drills have the potential to minimize the required dimensions of incisions in minimally invasive spine fusion (MISF). Existing steerable drills mostly rely on flexible continuum mechanisms to create distal tip steerability. However, due to their inherent compliance and underactuation, high stiffness and dexterity cannot be achieved at the same time, which limits their application. In this article, we present a ømm robotic steerable surgical drill offering high stiffness, strength, and dexterity, simultaneously. Contrary to existing flexible-transmission-based approaches, we use nonflexible transmissions (tendon-driven articulated joints and universal joints) to provide two distal degrees of freedom. To evaluate its performance, we integrated it with a customized tendon actuation platform for mechanical performance tests and the da Vinci Research Kit, as an exchangeable instrument, for robotic steerable drilling tests. The results of these tests showed that our drill had high strength, stiffness, accuracy, and drilling stability while preserving high steerability and was sufficient to complete hole drilling in confined space in MISF.
A Study on Production of Poly-β-Hydroxybutyrate Bioplastic from Sago Starch by Indigenous Amylolytic Bacteria

Bacillus sp. PSA10 and Bacillus sp. PPK5 were two indigenous strain amylolytic bacteria from Southeast Sulawesi that have ability to produce bioplastic poly-β-hydroxybutyrate (PHB) from sago starch. The study was attempted to determine the mechanism of PHB production by bacteria amylolytic was grown on sago starchcontaining media. Two amylolytic bacteria i.e. Bacillus sp. PSA10 and Bacillus sp. PPK5 was grown for 168 h in a mineral salts medium with sago starch as carbon source. Growth of amylolytic bacteria was monitored by cell dry weight. Extraction of PHB was done by N-hexane acetone-diethyl ether method and PHB content was quantifi ed with UV spectrophotometer at 235 nm. Glucose level was determined by using kit of glucose GOD 10” and was quantifi ed with spectrophotometer at 500 nm. Sago starch concentration was determined by phenol method using specthrophotometer at 490 nm. The result of the study showed that Bacillus sp. PSA10 was produced PHB up to 66,81 % (g PHB/g cell dry weight) at 48 h and Bacillus sp. PPK5 up to 24,83 % (g PHB/g cell dry weight) at 84 h. Bacillus sp. PSA10 has ability to converse sago starch to be PHB directly without glucose accumulation in the media, whereas Bacillus sp. PPK5 have to accumulate glucose as product of sago starch hydrolysis to produce of PHB. PHB synthesis by Bacillus sp. PHB production on sago starch of the Bacillus sp. PSA10 was found to be growth-associated whereas Bacillus sp. PPK5 was found to be non growth-associated. Therefore, two indigenous amylolytic bacteria were having of difference in biosynthesis mechanism of PHB in sago starch medium and their characteristics of PHB synthesis should be considered in developing cultivation methods for the effi cient production of PHB. Keywords : Production, PHB, Amylolytic bacteria, Sago starch.
IMPLEMENTASI EVALUASI PEMBELAJARAN BERBASIS ANDROID

Terobosan baru pada pelaksanaan evaluasi pembelajaran yaitu dengan memanfaatkan android atauAndroid Based Test (ABT). Sistem ini merupakan pengembangan dari sistem CBT yaitu denganmenggantikan komputer klien menggunakan perangkat android, sehingga keunggulan sistem CBT bisadiadopsi pada ABT. Tujuan penelitian ini adalah mengetahui implementasi evaluasi pembelajaranberbasis android di SMK Muhammadiyah se-Kota Metro. Penelitian ini menggunakan pendekatankualitatif dengan jenis penelitian studi kasus di SMK Muhammadiyah se-Kota Metro. Adapun fokusimplementasi evaluasi pembelajaran berbasis android di SMK Muhammadiyah se-Kota Metro meliputibagaimana persiapan evaluasi pembelajaran berbasis android, sarana dan prasarana yang digunakandalam evaluasi pembelajaran berbasis android, cara penerapan evaluasi pembelajaran berbasis android,kendala yang terjadi pada evaluasi pembelajaran berbasis android dan bagaimana mengatasi kendala padaevaluasi pembelajaran berbasis android. Berdasarkan penelitian ini, didapat bahwa evaluasi pembelajaranberbasis android merupakan pengembangan dari evaluasi pembelajaran berbasis komputer yaitu denganmenggantikan komputer pengguna (klien) dengan android, sehingga penerapan sistem ini akanmenghemat anggaran sekolah sehingga sistem ini memungkinkan untuk di implementasikan di semuasekolah.
Impedance Control Architecture for Robotic-Assisted Mold Polishing Based on Human Demonstration

This article presents a computed-torque impedance control architecture for robotic-assisted mold polishing based on human skills.The mold polishing process for plastic injection is critical since tiny surface imperfections are easily visible in the plastic product, having strong implications in the overall quality. A Cartesian impedance control referred to the end-effector frame with posture optimization is proposed to tackle this problem. A collaborative robot manipulator from Franka Emika and a steel mold are used in the experiments to validate our approach. Human skills are captured both in comanipulation and free-hand modes, where position and force patterns are analyzed. Those patterns are then autonomously replicated by the robotic system, validating the proposed methodology.
Stress of COVID-19 and mental health outcomes in Palestine: the mediating role of well-being and resilience

BACKGROUND We tested the association between the stress of COVID-19 and mental distress manifested by anxiety, depression, and stress, and whether well-being and resilience mediate the relationship between the two variables in a population of Palestinian adults. Namely, we hypothesized that stress of COVID-19 will be positively associated with mental health problems (anxiety, depression, and stress); well-being and resilience will be negatively associated with mental health problems (anxiety, depression, and stress); and well-being and resilience will mediate the association between the stress of COVID-19 and mental health problems (anxiety, depression, and stress). PARTICIPANTS AND PROCEDURE Depression, Anxiety and Stress Scale-21, the Resilience Scale for Adults, the WHO-5 Well-Being Index, and the COVID-19 Stress Scales were administered to 860 participants via online survey. Structural equation modelling (SEM) was applied to address the study hypothesis. RESULTS Participants recorded a mild level of stress of COVID-19 and high scores for resilience and well-being. A conceptual model depicting COVID-19 stress as a predictor, mental distress as an outcome variable, and resilience and subjective well-being as mediators was confirmed. CONCLUSIONS Palestinians are exposed to mental distress in an environment characterized by ongoing stressors. Conversely, the capability of Palestinians to conserve good levels of well-being and resilience protects them from mental distress even in the wake of the COVID-19 outbreak. On the other hand, COVID-19 can be considered a new critical event demanding and diminishing the people’s resiliency recourses in Palestine. Implications for clinical practice and research are discussed.
Ultrasound and airflow induced thermal instability suppression of DC corona discharge: an experimental study

The effect of ultrasound waves, airflow and combined ultrasound with the airflow on the thermal instability suppression of a hollow needle-to-plate electrical discharge was studied experimentally. To evaluate the thermal instability suppression we used the V–A characteristics of the discharge in stationary air, with ultrasound applied in stationary air, and finally when the airflow was supplied into the discharge through the needle without and with ultrasound application. To illustrate the effect of ultrasound, airflow and combined ultrasound with airflow on the discharge thermal instability suppression we also studied the discharge ozone production. We found that in stationary air the application of ultrasound only slightly suppresses thermal instability. A substantial increase of ozone generation was not detected. Application of the airflow through the needle suppressed development of the thermal instability and resulted in a substantial increase of the discharge current. The ozone generation was strongly increased in comparison with the preceding case. The combined application of ultrasound and airflow through the needle caused further instability suppression and consequently an increase of the discharge current. The effect of ultrasound on the current–voltage range of the discharge was, however, smaller than the effect of the airflow through the needle. Nevertheless production of ozone was still substantially increased.
Detecção de Covid-19 em Imagens de Raio-x Utilizando Redes Convolucionais

Objetivo: Este trabalho investiga diferentes abordagens de utilizacao de redes de convolucao (CNNs) para diferenciar Pneumonia causada por Covid-19 de Pneumonia causada por outras doencas, e casos sem Pneumonia. Os dados utilizados sao imagens de raio-x. Metodo: Duas abordagens de treinamento de CNNs sao empregadas: CNN sem transferencia de aprendizado e CNN treinada com transferencia de aprendizado. Alem disso, o problema de classificacao e tratado em dois cenarios: 1) duas classes e 2) tres classes. Resultados: A abordagem sem transferencia de aprendizado mostrou-se melhor no cenario com duas classes (acuracia 85,37% contra 82.11%), enquanto a segunda abordagem foi ligeiramente superior no cenario 2 (acuracia 87,91% vs 86.26%). Conclusao: Os resultados sao interessantes e mostram que o desempenho dos metodos investigados pode variar ao modificarmos o cenario de avaliacao, porem, ajustes dos parâmetros sao necessarios para que as conclusoes sejam mais precisas.