Miracle-dz/UniFAR-FTUs huggingface dataset:
Best impedance matching seeking of single-frequency capacitively coupled plasmas by numerical simulations

Impedance matching can maximize the absorbed power transferred to the plasma load and minimize the reflected power, making it critical and indispensable for capacitively coupled plasmas (CCPs). The external circuit usually interacts with the plasma nonlinearly, so the global simulation of the external circuit and plasma and the matching design is very challenging. In this work, an a priori model was proposed to match the plasma impedance and the external circuit impedance for single-frequency CCPs. By calculating the plasma impedance and the matching network, the matching parameters were iteratively updated to find the best matching parameters. By adjusting the capacitance and the inductance of the circuit by numerical simulations, the reflection coefficient can be significantly reduced. At the same time, the plasma power absorption efficiency will be significantly improved. The universality of the method was demonstrated by choosing different initial circuit, discharge, and plasma parameters. The proposed method provides an effective matching design reference for CCPs.
Excitations of few-boson systems in one-dimensional harmonic and double wells

We examine the lowest excitations of one-dimensional few-boson systems trapped in double wells of variable barrier height. Based on a numerically exact multiconfigurational method, we follow the whole pathway from the noninteracting to the fermionization limit. It is shown how, in a purely harmonic trap, the initially equidistant, degenerate levels are split up due to interactions, but merge again for strong enough coupling. In a double well, the low-lying spectrum is largely rearranged in the course of fermionization, exhibiting level adhesion and (anti)crossings. The evolution of the underlying states is explained in analogy to the ground-state behavior. Our discussion is complemented by illuminating the crossover from a single to a double well.
Genome-Wide Association Study for Haemonchus contortus Resistance in Morada Nova Sheep

Among the gastrointestinal nematodes affecting sheep, Haemonchus contortus is the most prevalent and virulent, resulting in health problems and production losses. Therefore, selecting sheep resistant to H. contortus is a suitable and sustainable strategy for controlling endoparasites in flocks. Here, 287 lambs of the native Brazilian Morada Nova hair sheep breed were subjected to two consecutive artificial infections with H. contortus and assessed for fecal egg count (FEC), packed cell volume (PCV), and live weight (LW). Forty-four animals ranked as having extreme resistance phenotypes were genotyped using the Illumina OvineSNP50v3 chip. A case–control genome-wide association study (GWAS) detected 37 significant (p < 0.001) markers in 12 ovine chromosomes in regions harboring quantitative trait loci (QTL) for FEC, Trichostrongylus spp. adults and larvae, weight, and fat; and candidate genes for immune responses, mucins, hematological parameters, homeostasis, and growth. Four single-nucleotide polymorphisms (SNP; OAR1_rs427671974, OAR2_rs419988472, OAR5_rs424070217, and OAR17_rs401006318) genotyped by qPCR followed by high-resolution melting (HRM) were associated with FEC and LW. Therefore, molecular markers detected by GWAS for H. contortus resistance in Morada Nova sheep may support animal selection programs aimed at controlling gastrointestinal nematode infections in flocks. Furthermore, genotyping of candidate genes using HRM qPCR may provide a rapid and efficient tool for animal identification.
A Compact Untrimmed 48ppm/°C All MOS Current Reference Circuit

An ultra-low power and low-cost (area efficient) nano-ampere current reference circuit designed in a 65 nm technology is presented in this paper: The proposed circuit is a resistorless beta multiplier current reference circuit that uses self cascode composite MOSFETs in triode region. Circuit analysis has been discussed in the paper. The simulated circuit consumes power of 550 nW at a nominal operating voltage of 1.33 V and occupies area of 0.0031 mm2. The design provides a line regulation of 1.9 %/V over an operating voltage range of 1.25 V to 1.4 V. Temperature coefficient (TC) of the circuit at nominal voltage of 1.33 V is 48 ppm/°C for a wide temperature range of −40°C to 85°C. Output current of the circuit at nominal voltage is 104.2 nA with a small process variation of only 4 %.
KDELR3 Is a Prognostic Biomarker Related to the Immune Infiltration and Chemoresistance of Anticancer Drugs in Uveal Melanoma

Uveal melanoma (UM) is an intraocular malignancy in adults in which approximately 50% of patients develop metastatic diseases and have a poor clinical outcome. Immunotherapies are quickly becoming a need, and recent research has produced some amazing achievements in this area. In the current investigation, an attempt was made to evaluate the prognostic usefulness of KDELR3 in UM, particularly its connection with tumor-infiltrating lymphocytes (TILs). The expression patterns of mRNAs and related clinical data of 80 UM patients were obtained from The Cancer Genome Atlas (TCGA). By using RT-PCR, we were able to investigate whether or not UM cells and D78 cells expressed KDELR3. The Kaplan-Meier approach, as well as univariate and multivariate tests, was utilized in order to investigate the potential predictive significance of KDELR3 expression. The associations between KDELR3 and TILs and immunological checkpoints were analyzed in order to evaluate the effect that KDELR3 may have on UM immunotherapy. On the basis of the differential expression of KDELR3, a distribution of the half-maximal inhibitory concentration (IC50) of various targeted medicines was observed. In this study, we found that the expression of KDELR3 was distinctly increased in most types of tumors. In addition, KDELR3 was highly expressed in UM cells. Moreover, patients with high KDELR3 expression exhibited a shorter overall survival and disease-free survival than those with low KDELR3 expression. Multivariate analyses confirmed that KDELR3 expression was an independent prognostic factor for overall survival and disease-free survival in patients with UM. Furthermore, KDELR3 expression was demonstrated to be positively correlated with macrophage M1, T cell CD8, T cell follicular helper, dendritic cell resting, and T cell CD4 memory activated. Meanwhile, the expression of KDELR3 was related to several immune checkpoints. The IC50 of AP-24534, BHG712, bleomycin, camptothecin, cisplatin, cytarabine, GSK1070916, and tipifarnib was higher in the KDELR3 high-expression group. In conclusion, KDELR3 may be applied as a potential diagnostic and prognostic biomarker for UM patients.
Model Predictive Interaction Control for Robotic Manipulation Tasks

This article presents the concept of model predictive interaction control (MPIC) as a generic, flexible, and comprehensive approach for robotic manipulation tasks. MPIC is based on the repetitive solution of an optimal control problem that includes a robot model for motion prediction as well as an interaction model for force prediction. In order to handle both elastic and rigid contact situations, a cascaded approach with low-level PD control is adopted, which allows to combine the linear-elastic environment model and the limited controller stiffness. Due to its flexibility, MPIC can be favorably used for realizing the elementary manipulation primitives (MP) within a hierarchical task planning framework, where each MP corresponds to a particular parameterization of the cost function and the constraints. The control methodology and the manipulation approach are evaluated in simulations and experiments using a 7-degree-of-freedom industrial robot.
Development and validation of children’s stories as a health education strategy in speech, language, and hearing sciences

ABSTRACT Purpose Developing and validating children’s stories focused on health education in Speech, Language, and Hearing Sciences. Methods Cross-sectional, descriptive, quali-quantitative two-step study. 1st) elaboration of 10 children’s stories, guiding questions, explanatory notes, and illustrations. 2nd) validation by judges (speech therapists, educators, and familiar) in two phases. In the first, the sample consisted of 42 judges and in the second, 28. To access the materials and the validation questionnaire, a website was made available. The questionnaire investigated the judges’ personal data and the judges’ perceptions regarding the contents, vocabulary, illustrations, structure, and motivation of the materials. A five-point Likert scale of the agreement was used, with spaces for suggestions in each question. The quantitative analysis was done using the Content Validity Index and the Content Validity Coefficient. The qualitative analysis was based on the comments of the judges. The minimum rate of agreement among the judges on the decision to change or not change the materials was 80%. Results The first phase pointed out the need for modifications in three titles and two vocabularies (bullying and dyke), and the need for increasing to five years of age the minimum age for access to the materials. The second phase revealed good acceptability in all changes made. Conclusion The materials developed were validated and can be used as health education tools by speech therapists and educators, as well as parents.
Trans Z‐source‐based half‐bridge inverter: A method for achieving high voltage gain

This article offers a modified trans Z‐source‐based half‐bridge inverter topology. A suitable pulse width modulation (PWM)‐based control method is applied on the proposed inverter. Regarding this control technique, the state of switches in each of the operational states is obtained, and their equivalent control circuits are demonstrated and examined in depth. With the help of the results of these analyses, the boost factor for the proposed structure can be calculated. Additionally, the necessary equations for designing the passive components, as well as the power ratings of the active components, are found. Then, in order to evaluate the advantages and disadvantages of the proposed topology, a comparative study is conducted in several aspects, including the boost factor, the voltage stresses on capacitors, and the voltage stresses on passive devices. This comparison demonstrates that the proposed topology provides a high boost factor while minimizing voltage stresses on the devices, resulting in a smaller volume and size and a lower cost. Once the proposed topology has been thoroughly analyzed, the total power losses and the percentages of power losses consumed by each component device are calculated to obtain efficiency. Finally, an experimental prototype based on the equations for passive and active components is developed. Experiments are used to verify the validity of the proposed topology and the accuracy of the equations.
Research on EMG Signal of Human Lower Limbs Based on Empirical Mode Decomposition

To recognize Electromyography (EMG) signal of lower limbs more effectively, this paper analyzed EMG signal of gastrocnemius muscle during dorsal flexion, plantar flexion, knee flexion, knee flexion and hip flexion; Based on advantages of Empirical Mode Decomposition (EMD) in nonlinear and non-stationary signal analysis, Intrinsic Mode Function (IMF) was utilized as eigenvalue of EMG signal of gastrocnemius muscle; Support Vector Machine (SVM) was applied to verify influence on different orders of IMF in the classification effect. Results shown that IMF of gastrocnemius muscle under different movements is different. The orders of ankle dorsal flexion and plantar flexion are 5, knee flexion and extension are 6, and hip flexion is 7; when eigenvalues of higher order are discarded, the recognition rate for 5 movements is low (81.46%); The value is higher when eigenvalue matrix is supplemented by 0 (85.3%). the recognition rate is the highest when combining this two methods (90.42%).
MGMT Promoter Methylation as a Prognostic Factor in Primary Glioblastoma: A Single-Institution Observational Study

Glioblastoma is the most malignant central nervous system tumor, which represents 50% of all glial tumors. The understanding of glioma genesis, prognostic evaluation, and treatment planning has been significantly enhanced by the discovery of molecular genetic biomarkers. This study aimed to evaluate survival in patients with primary glioblastoma concerning O6-methylguanine–DNA methyltransferase (MGMT) promoter methylation and other clinical factors. The study included 41 newly diagnosed glioblastoma patients treated from 2011 to 2014 in the 10th Military Research Hospital and Polyclinic, Poland. All patients underwent surgical resection followed by radiation and chemotherapy with alkylating agents. The MGMT promoter methylation was evaluated in all patients, and 43% were found to be methylated. In 26 and 15 cases, gross total resection and subtotal resection were conducted, respectively. Patients with a methylated MGMT promoter had a median survival of 504 days, while those without methylation had a median survival of 329 days. The group that was examined had a median age of 53. In a patient group younger than 53 years, those with methylation had significantly longer overall survival (639 days), compared to 433.5 days for patients without methylation. The most prolonged survival (551 days) was in patients with MGMT promoter methylation after gross total resection. The value of MGMT promoter methylation as a predictive biomarker is widely acknowledged. However, its prognostic significance remains unclear. Our findings proved that MGMT promoter methylation is also an essential positive prognostic biomarker.
Investigating the deployability of VoIP services over wireless interconnected micro aerial vehicles

Emerging technological devices, such as Unmanned Aircraft Vehicles (UAV) and Single Board Computers (SBC), are being increasingly employed in recent years, thanks to the advances in electronics and the wide variety of sensors that are endowed. This paper aims at analyzing the viability of deploying multimedia services, focusing on the voice scenario, over wireless interconnected Micro Air Vehicles (MAV), also known as drones. Toward this end, we assessed the performance both of the embedded wireless cards of current drones and also SBCs, which may be carried as payload in existing UAV solutions. Driven by the results obtained in these experiments, we then deployed an operational VoIP service over a network of commercial MAVs, to perform an experimental analysis on the resource capabilities of these devices and demonstrate that this type of service can certainly be used.
Thermally Stable Magneto-Plasmonic Nanoparticles for SERS with Tunable Plasmon Resonance

Bifunctional magneto-plasmonic nanoparticles that exhibit synergistically magnetic and plasmonic properties are advanced substrates for surface-enhanced Raman spectroscopy (SERS) because of their excellent controllability and improved detection potentiality. In this study, composite magneto-plasmonic nanoparticles (Fe3O4@AgNPs) were formed by mixing colloid solutions of 50 nm-sized magnetite nanoparticles with 13 nm-sized silver nanoparticles. After drying of the layer of composite Fe3O4@AgNPs under a strong magnetic field, they outperformed the conventional silver nanoparticles during SERS measurements in terms of signal intensity, spot-to-spot, and sample-to-sample reproducibility. The SERS enhancement factor of Fe3O4@AgNP-adsorbed 4-mercaptobenzoic acid (4-MBA) was estimated to be 3.1 × 107 for a 633 nm excitation. In addition, we show that simply by changing the initial volumes of the colloid solutions, it is possible to control the average density of the silver nanoparticles, which are attached to a single magnetite nanoparticle. UV-Vis and SERS data revealed a possibility to tune the plasmonic resonance frequency of Fe3O4@AgNPs. In this research, the plasmon resonance maximum varied from 470 to 800 nm, suggesting the possibility to choose the most suitable nanoparticle composition for the particular SERS experiment design. We emphasize the increased thermal stability of composite nanoparticles under 532 and 442 nm laser light irradiation compared to that of bare Fe3O4 nanoparticles. The Fe3O4@AgNPs were further characterized by XRD, TEM, and magnetization measurements.
High-Power, Narrow-Linewidth Distributed-Feedback Quantum-Cascade Laser for Molecular Spectroscopy

Quantum cascade lasers are versatile light sources in the mid-infrared range for molecular spectroscopy which find a wide range of applications from high-resolution studies to sensing. While devices with either high power or narrow spectral linewidth have previously been reported, there is still a lack of sources combining both of these characteristics which are particularly important for precision measurements of weak spectroscopic transitions. In this article, we describe and characterize a novel master-oscillator power-amplifier distributed-feedback quantum cascade laser designed to fill this gap. At an output power of 300 mW, the device features a free-running linewidth of 1.3 MHz, measured with a frequency discriminator technique, at an emission wavenumber of 2185 cm−1. This linewidth is sufficiently narrow to enable a further reduction by a tight lock to a high-Q oscillator.
Neuroprotective effects of neural stem cells pretreated with neuregulin1β on PC12 cells exposed to oxygen-glucose deprivation/reoxygenation

Studies on ischemia/reperfusion (I/R) injury suggest that exogenous neural stem cells (NSCs) are ideal candidates for stem cell therapy reperfusion injury. However, NSCs are difficult to obtain owing to ethical limitations. In addition, the survival, differentiation, and proliferation rates of transplanted exogenous NSCs are low, which limit their clinical application. Our previous study showed that neuregulin1β (NRG1β) alleviated cerebral I/R injury in rats. In this study, we aimed to induce human umbilical cord mesenchymal stem cells into NSCs and investigate the improvement effect and mechanism of NSCs pretreated with 10 nM NRG1β on PC12 cells injured by oxygen-glucose deprivation/reoxygenation (OGD/R). Our results found that 5 and 10 nM NRG1β promoted the generation and proliferation of NSCs. Co-culture of NSCs and PC12 cells under condition of OGD/R showed that pretreatment of NSCs with NRG1β improved the level of reactive oxygen species, malondialdehyde, glutathione, superoxide dismutase, nicotinamide adenine dinucleotide phosphate, and nuclear factor erythroid 2-related factor 2 (Nrf2) and mitochondrial damage in injured PC12 cells; these indexes are related to ferroptosis. Research has reported that p53 and solute carrier family 7 member 11 (SLC7A11) play vital roles in ferroptosis caused by cerebral I/R injury. Our data show that the expression of p53 was increased and the level of glutathione peroxidase 4 (GPX4) was decreased after RNA interference-mediated knockdown of SLC7A11 in PC12 cells, but this change was alleviated after co-culturing NSCs with damaged PC12 cells. These findings suggest that NSCs pretreated with NRG1β exhibited neuroprotective effects on PC12 cells subjected to OGD/R through influencing the level of ferroptosis regulated by p53/SLC7A11/GPX4 pathway.
Characterizing the most effective scaffolding approaches in engineering and technology education: A clustering approach

This study indicates the most effective combinations of scaffolding features within computer science and technology education settings. It addresses the research question, “What combinations of scaffolding characteristics, contexts of use, and assessment levels lead to medium and large effect sizes among college‐ and graduate‐level engineering and technology learners? ” To do so, studies in which scaffolding led to a medium or large effect size within the context of technology and engineering education were identified within a scaffolding meta‐analysis data set. Next, two‐step cluster analysis in SPSS 24 was used to identify distinct groups of scaffolding attributes tailored to learning computer science at the undergraduate and graduate levels. Input variables included different scaffolding characteristics, the context of use, education level, and effect size. There was an eight‐cluster solution: five clusters were associated with large effect size, two with medium effect size, and one with both medium and large effect size. The three most important predictors were the context in which scaffolding was used, if and how scaffolding is customized over time and the decision rules that govern scaffolding change. Notably, highly effective scaffolding clusters are associated with most levels of each predictor.
Concentration Optimization of Localized Cu0 and Cu+ on Cu-Based Electrodes for Improving Electrochemical Generation of Ethanol from Carbon Dioxide

Copper-based electrodes can catalyze electroreduction of CO2 to two-carbon products. However, obtaining a specific product with high efficiency depends on the oxidation state of Cu for the Cu-based materials. In this study, Cu-based electrodes were prepared on fluorinated tin oxide (FTO) using the one-step electrodeposition method. These electrodes were used as efficient electrocatalysts for CO2 reduction to ethanol. The concentration ratio of Cu0 and Cu+ on the electrodes was precisely modulated by adding monoethanolamine (MEA). The results of spectroscopic characterization showed that the concentration ratio of localized Cu+ and Cu0 (Cu+/Cu0) on the Cu-based electrodes was controlled from 1.24/1 to 1.54/1 by regulating the amount of MEA. It was found that the electrode exhibited the best electrochemical efficiency and ethanol production in the CO2 reduction reaction at the optimal concentration ratio Cu+/Cu0 of 1.42/1. The maximum faradaic efficiencies of ethanol and C2 were 48% and 77%, respectively, at the potential of −0.6 V vs. a reversible hydrogen electrode (RHE). Furthermore, the optimal concentration ratio of Cu+/Cu0 achieved the balance between Cu+ and Cu0 with the most favorable free energy for the formation of *CO intermediate. The stable existence of the *CO intermediate significantly contributed to the formation of the C–C bond for ethanol production.
ESTIMATION OF ECOLOGICAL ASSET VALUES IN SHANGRILA BASED ON REMOTELY SENSED DATA

Ecological assets are an important material base of the national economy and sustainable social development. Shangri-La, China is an important area of forest and farmland that has been returned to forest, but the ecological environment is fragile. It is urgent to start to an ecological asset values estimation study. Choosing remote sensing data, meteorological data, surface observations and statistics as the data sources. The results show: (1) From the perspective of ecological assets, adjusting climate and water conservation contribute the most. (2) In the context of single ecological asset value per unit area, the sequence from highest to lowest is the following, water conservation > adjusting climate > soil and water conservation > production of organic matter > nutrient circulation > cultural entertainment. (3) From the perspective of the type of ecological system, forest and shrub grassland contribute the most. (4) From the value of ecological assets per unit area of each ecosystem type, agricultural land > forest > shrub grassland > waters > wetland > artificial land > permanent snow glacier > unutilized land. It is particularly significant for people to make reasonable decisions when exploiting and utilizing natural resources which can be aided by an ecological asset values estimation study.